Annex I to the CDOP2 Project Plan - Work Package ... - H-SAF

CDOP-2 Project Plan 

(Annex I) 

Doc. No: SAF/HSAF/CDOP2/PP/1.0 

Issue: Version 1.0 

Date: 11/12/2012 

Page: 1/48 

EUMETSAT Satellite Application Facility 

on Support to Operational Hydrology 

and Water Management 

(H-SAF) 


(Annex I – Work Packages Description 

Sheets) 

10 

Reference Number: 

SAF/HSAF/CODP2/PP/1.0 

Issue/Revision Index: Version 1.0 

Last Change: 11/12/2012 

20





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Index 

30 

40 

1 Work Packages Description – Development .................................................................................. 3 

1.1 Precipitation products development ...................................................................................... 3 

1.1.1 New MTG Precipitation Chains ....................................................................................... 3 

1.1.2 New Precipitation Products ............................................................................................ 5 

1.2 Soil Moisture products development ................................................................................... 12 

1.2.1 New Soil Moisture Products.......................................................................................... 12 

1.3 Snow products development ................................................................................................ 15 

1.3.1 New MTG Snow Chains ................................................................................................. 15 

1.3.2 New Snow Products ...................................................................................................... 15 

2 Work Packages Description – Operations .................................................................................... 18 

2.1 Precipitation Products Operations ........................................................................................ 18 

2.1.1 Precipitation Chains Maintenance and Operations ...................................................... 18 

2.1.2 Precipitation Products Maintenance ............................................................................ 18 

2.2 Soil Moisture Products Operations ....................................................................................... 21 

2.2.1 Soil Moisture Chains Maintenance and Operations ..................................................... 21 

2.2.2 Soil Moisture Products Maintenance ............................................................................ 23 

2.3 Snow products operations .................................................................................................... 26 

2.3.1 Snow Chains Maintenance and Operations .................................................................. 26 

2.3.2 Snow Products Maintenance ........................................................................................ 28 

2.4 Validation Services ................................................................................................................ 32 

2.4.1 Hydrovalidation Service ................................................................................................ 32 

2.4.2 Product Validation Service ............................................................................................ 36 

2.5 Central Operations ................................................................................................................ 45 

3 Work Packages Description – Support Functions ........................................................................ 46





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50 

1 Work Packages Description – Development 

1.1 Precipitation products development 

1.1.1 New MTG Precipitation Chains 

WP Number D-2110 Title New MTG Precipitation Chain C-PR-H40 

Responsible 

Country 

Italy 

Responsible 

Institute 

ITAF CNMCA 

Participants 

Start time T0 End time T0+60 

Objectives and tasks: 

This WP has in charge all operations to produce the outputs of cluster regarding the new observations from 

satellite (H40). The activities can be separated in acquisition data, pre-processing and post processing data. 

The WP has : 

1) to develop the operational chain of new product (H40); 

2) to participate to drafting of technical documentation; 

3) to monitor and to maintain the suite software and hardware implemented. 

The WP will take in charge the software codes of the product, to insert the releases in the new operational 

chains. 

The WP has in charge the Operational Report to inform the statistical behaviour of services. 

The WP has in charge the upgrade of all Internal reports (training manuals, recovery procedures) and training 

of people involved in the monitoring and recovery procedures. 

The WP will participate to write the requested documentation. 

WP output Operational chains (products), Operational report, Internal report, Documents. 

Milestones 

Scenario 2 

(1)RR [2014 Q2], 

(2)PDR [2016 Q2] 

Deliverables 

(1) Contribute to Engineering Documents for 

product chain C-H40 


Responsible 

Country 

Italy 

Responsible 

Institute 

ITAF CNMCA 

Participants 





The WP has : 




The WP will take in charge the software codes of the product, to insert the releases in the new operational





Date: 11/12/2012 

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chains. 





WP output 


Scenario 2 

Operational chains (products), Operational report, Internal report, Documents. 

(1)RR [2014 Q2], 


Deliverables 

(2)PDR [2016 Q2] 



Responsible 

Country 

Italy 

Responsible 

Institute 

ITAF CNMCA 

Participants 





The WP has : 





chains. 







Scenario 2 

(1)RR [2014 Q2], 

(2)PDR [2016 Q2] 

Deliverables 




Responsible 

Country 

Italy 

Responsible 

Institute 

ITAF CNMCA 

Participants 





The WP has : 

1) to develop the operational chain of new product (H50);





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60 




chains. 







Scenario 2 

(1)RR [2014 Q2], 

(2)PDR [2016 Q2] 

Deliverables 



1.1.2 New Precipitation Products 

WP Number D-2205 Title New Precipitation Product H02B 

Responsible 

Country 

Italy 

Responsible 

Institute 

ITAF CNMCA 

Participants 



Development of H02B precipitation product, performing the enlargement of H02A product from H-SAF area to 

full disc. 

WP output 


Scenario 5 

Operational chains (products), Operational report, Internal report, Prototype algorithm code 

for operational implementation, Documents. 

(1) ATBD-02B, Contribute to Engineering 

(1) PCR [2014 Q4], 

Documents for product H02B, (2) PVR-02B, PUM- 

(2) ORR Part2 [2016 Deliverables 

02B, DOF-02B, Contribute to SVERF (execution of 

Q3] 

non regression tests) 


Responsible 

Country 

Italy 

Responsible 

Institute 

ITAF CNMCA 

Participants 

Start time T0 End time T0+60





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full disc. 

WP output 


Scenario 5 

Operational chains (products), Operational report, Internal report, Prototype algorithm 

code for operational implementation, Documents. 

(1) PCR [2014 


Q4], 


Deliverables 

(2) ORR Part2 


[2016 Q3] 



Responsible 

Country 

Italy 

Responsible 

Institute 

ITAF CNMCA 

Participants 




full disc. 

WP output 


Scenario 5 


code for operational implementation, Documents. 

(1) PCR [2014 


Q4], 

Documents for product H04B (2) PVR-04B, PUM- 

Deliverables 

(2) ORR Part2 


[2016 Q3] 



Responsible 

Country 

Italy 

Responsible 

Institute 

ITAF CNMCA 

Participants 




full disc.





Date: 11/12/2012 

Page: 7/48 

WP output 


Scenario 5 


code for operational implementation Documents. 

(1) PCR [2014 


Q4], 


Deliverables 

(2) ORR Part2 


[2016 Q3] 


70 


Responsible 

Country 

Italy 

Responsible 

Institute 

ITAF CNMCA 

Participants 




full disc. 

WP output 


Scenario 5 


code for operational implementation Documents. 

(1) PCR [2014 


Q4], 


Deliverables 

(2) ORR Part2 


[2016 Q3] 


WP Number D-2230 Title New Precipitation Product H17 

Responsible 

Country 

Italy 

Responsible 

Institute 

CNR-ISAC 

Participants 



The WP has in charge the development of the new product H17 “Precipitation rate at ground by MW conical 

scanners (with indication of phase) ver. 2”. 

The releases are expected for T0+24, and a second release for the end of project. Since T0+24 to end of 

DCOP-2 the WP is committed to resolve the problem highlighted from the validation results. 

The WP will also have responsibility for the installation of news codes, jointly with the team of the related 

chains development. 

The WP has in charge the Internal Reports provision to support the to implementation and maintenance of 

news codes. The WP will participate to write the requested documents. 

WP output 

Prototype algorithm code for operational implementation. Internal reports. Documents.





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Scenario 5 

(1) PCR [2015 

Q3], 

(2) ORR Part2 

[2016 Q3] 

Deliverables 

(1) ATBD-17 Contribute to Engineering Documents 

for product H17, (2) PVR-17, PUM-17, DOF-17, 

Contribute to SVERF (execution of non regression 

tests) 


Responsible 

Country 

Italy 

Responsible 

Institute 

CNR-ISAC 

Participants 



The WP has in charge the development of the new product H18 “Precipitation rate at ground by MW crosstrack 

scanners (with indication of phase) ver. 2”. 







WP output 


Scenario 2 

Prototype algorithm code for operational implementation, Internal reports, Documents 

(1) PCR [2015 

(1) ATBD-18 Contribute to Engineering Documents 

Q3], 


Deliverables 

(2) ORR Part2 


[2016 Q3] 

tests) 


Responsible 

Country 

Italy 

Responsible 

Institute 

CNR-ISAC 

Participants 

Start time T0+24 End time T0+60 


The WP has in charge the development of the new product H19 “rainfall intensity from GMI (Global 

Precipitation Measurement - Microwave Imager) Bayesian algorithm”. 







Data will be processed off-line and delays in data processing and distribution will depend on GPM data 

delivery policy.





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WP output 


Scenario 5 

Prototype algorithm code for operational implementation. Internal reports. Documents. 

(1) PCR [2015 

(1) ATBD-19, Contribute to Engineering Documents 

Q3], 


Deliverables 

(2) ORR Part2 


[2016 Q3] 

tests) 


Responsible 

Country 

Italy 

Responsible 

Institute 

CNR-ISAC 

Participants 



The WP has in charge the development of the new product H20 “rainfall intensity from GMI Neural Network 

algorithm”. 







Data will be processed off-line and delays in data processing and distribution will depend on GPM data 

delivery policy. 

WP output Prototype algorithm code for operational implementation. Internal reports. Documents. 


Scenario 5 

(1) PCR [2015 

Q3], 

(2) ORR Part2 

[2016 Q3] 

Deliverables 




tests) 

80 


Responsible 

Country 

Italy 

Responsible 

Institute 

CNR-ISAC 

Participants 

Start time T0+24 End time T0+60





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The WP has in charge the development of the new product H21 “High frequency MW delineation of cloud 

areas with new development of hydrometeors”. 







WP output 


Scenario 5 


(1) PCR [2015 


Q3], 


Deliverables 

(2) ORR Part2 


[2016 Q3] 

tests) 


Responsible 

Country 

Italy 

Responsible 

Institute 

CNR-ISAC 

Participants 



The WP has in charge the development of the new product H22 “Snowfall intensity”. 







WP output 


Scenario 5 


(1) PCR [2015 


Q3], 


Deliverables 

(2) ORR Part2 


[2016 Q3] 

tests) 


Responsible 

Country 

Italy 

Responsible 

Institute 

CNR-ISAC 

Participants 

Start time T0+24 End time T0+60





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The WP has in charge the development of the new product H40 “Precipitation rate at ground by GEO/IR 

supported by LEO/MW and MTC FCI”. 

During a first period, before the launch of the MTG satellites, simulated data will be used for the development 

of the product. The product will remain in “in development” status during the whole CDOP-2 period. 





WP output 


Scenario 2 

Operational chains (products), Operational report, Prototype algorithm code for 

operational implementation, Internal report, Documents. 

(1)RR [2014 Q2], 


Deliverables 

(2)PDR [2016 Q2] 

product H40, (2) ATBD-40 


Responsible 

Country 

Italy 

Responsible 

Institute 

CNR-ISAC 

Participants 



The WP has in charge the development of the new product H41 “Precipitation rate at ground by LEO/MW 

supported by GEO/IR (with flag for phase) and MTC FCI”. 







WP output 


Scenario 2 



(1)RR [2014 Q2], 


Deliverables 

(2)PDR [2016 Q2] 



Responsible 

Country 

Italy 

Responsible 

Institute 

ITAF CNMCA 

Participants 






Date: 11/12/2012 

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The WP has in charge the development of the new product H42 “Accumulated precipitation at ground by 

blended MW and IR and MTG FCI”. 




chains development.. 



WP output 


Scenario 2 



(1)RR [2014 Q2], 


Deliverables 

(2)PDR [2016 Q2] 


90 


Responsible 

Country 

Italy 

Responsible 

Institute 

ITAF CNMCA 

Participants 



The WP has in charge the development of the new product H50 “Rainfall intensity from MTG LI”. 







WP output 


Scenario 2 



(1)RR [2014 Q2], 


Deliverables 

(2)PDR [2016 Q2] 


1.2 Soil Moisture products development 

1.2.1 New Soil Moisture Products 

WP Number D-3210 Title New Soil Moisture Product H25 

Responsible 

Country 

Austria 

Responsible 

Institute 

TU Wien 

Participants 






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Re-shuffling of global surface soil moisture product information from the orbital images to a fixed discrete 

global grid (12.5 km resolution). Re-processing of the whole archive and generation of a new time-series 

product of soil moisture for each single grid-point over land for the whole globe. This work package will be 

performed off-line in regular intervals (e.g. yearly) or on major updates. 

WP output 


Scenario 5 



(1) PCR [2015 

(1) ATBD-25, Contribute to Engineering 

Q3], 

Documents for product H25, (2) PVR-25, PUM- 

Deliverables 

(2) ORR Part2 

25, DOF-25, Contribute to SVERF (execution of 

[2016 Q3] 


WP Number D-3220 Title New Soil Moisture Product H27 

Responsible 

Country 

ECMWF 

Responsible 

Institute 

ECMWF 

Participants 



The re-processed product H27 (SM-DAS-3) will provide a consistent Thematic Climate Data Record of 

surface and root zone soil moisture using a single version of the assimilation scheme. Assimilation is the 

only approach that allows to: 

1- retrieve root zone soil moisture, which is the relevant variable for any hydrological applications, from 

satellite surface soil moisture, 

2- ensure a daily global coverage product from swath surface product (global coverage in three days). 

As for H08, H16 and H14, having the H27 product in relative value of liquid soil moisture content makes it 

flexible to be used in various areas of application or with various models. 

The H27 root zone soil moisture TCDR is an elaborated product (typically classified as level-3/4 product) 

which provides the most accurate, most complete and most regular information on soil moisture. H27 will 

provide consistent time series of both surface and root zone soil moisture with a daily global coverage which 

is oh high relevance for hydrological applications and water budget investigations. Root zone information 

can only be retrieved by assimilation approaches. Using the ECMWF land data analysis system to address 

this objective already proved during the development phase that the method is robust, reliable and that it 

provides high quality products. 

As the products result from data assimilation using best state of the art Land Surface model, the quality of 

the product and the consistency with atmospheric fields makes them particularly relevant for operational 

hydrology applications which rely on both soil moisture and atmospheric variables. 

This CDR H27 will constitute the first ever historical consistent surface and root zone soil moisture global 

daily data base, increasing thereby the value of existing satellite data sets. In line with the H-SAF CDOP-2 

objectives, soil moisture re-analysis will provide a contribution, complementing the ERA-Clim project in 

support to GMES. 


WP output 



(1) PCR [2015 

Q3], 

Deliverables 

(1) ATBD-27, Contribute to Engineering 

Documents for product H27, (2) PVR-27, PUM-





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Scenario 5 

(2) ORR Part2 

[2016 Q3] 

27, DOF-27, Contribute to SVERF (execution of 

non regression tests)





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1.3 Snow products development 

100 

1.3.1 New MTG Snow Chains 

WP Number 

Responsible 

Country 

D-4110 

(D-4111, 

D-4112, 

D-4114) 

Finland, Turkey 

Title 

New MTG Snow Chain C-SN-H43 

Responsible 

Institute 

FMI, TSMS 

Participants 

Start time 

T0 

End 

time 

T0+60 


The Work Package objective is the development of the new generation chain for the product H43 “Snow 

detection for flat land (snow mask) by VIS/NIR”. 

Operational satellite input data will be the MTG FCI. 

Three generation chains will be developed: 

Chain for the Flat and Forested Area product (by FMI) [WP D-4111] 

Chain for the Mountainous Area product (by TSMS) [WP D-4112] 

Chain for the merged product (by FMI) [WP D-4114] 



Scenario 2 

(1)RR [2014 Q2], 

(2)PDR [2016 Q2] 

Deliverables 



1.3.2 New Snow Products 

WP Number 

Responsible 

Country 

D-4210 

(D-4211, 

D-4212, 

D-4214) 


Title 

New Snow Product H34 

Responsible 

Institute 

FMI,METU 

Participants 



The Work Package objective is the development of the new product H34 “ Snow detection (snow mask) by 

VIS/IR radiometry of SEVIRI” (SN-OBS-1G). 

Operational satellite input data will be the SEVIRI on MSG. 

Three products will be developed: 

Flat and Forested Area intermediate processed data (by FMI) [WP D-4211] 

Mountainous Area intermediate processed data (by TSMS) [WP D-4212]





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Merged product (by FMI) [WP D-4214] 

H34/SN-OBS-1G succeeds earlier products H10 and H31. 

WP output 




(1) FF contribute to ATBD-34 , Contribute to 

(1) PCR [2015 

Engineering Documents for product H34 (2) FF 

Q3], 

Deliverables contribute to PVR-34, PUM-34 and DOF-34, 

(2) ORR Part2 


[2016 Q3] 

tests) 

Scenario 5 

WP Number 

Responsible 

Country 

D-4220 

(D-4221, 

D-4222, 

D-4224) 

Title 



Responsible 

Institute 

FMI,METU 

Participants 



The Work Package objective is the development of the new product H35 “Snow detection (snow mask) and 

effective snow cover by VIS/IR radiometry of AVHRR” (SN-OBS-1G). 

Operational satellite input data will be the AVHRR on Metop. 


Flat and Forested Area product (by FMI) [WP D-4221] 

Mountainous Area product (by TSMS) [WP D-4222] 


H35/SN-OBS-1P succeeds earlier products H12 and H32. 

WP output 




(1) FF contribute to ATBD-35 , Contribute to 

(1) PCR [2015 

Engineering Documents for product H35, (2) FF 

Q3], 

Deliverables contribute to PVR-35, PUM-35 and DOF-35, 

(2) ORR Part2 


[2016 Q3] 

tests) 

Scenario 5 

WP Number 

Responsible 

Country 

D-4230 

(D-4231, 

D-4232, 

D-4234) 

Title 



Responsible 

Institute 

FMI,METU 

Participants 






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The Work Package objective is the development of the new product H43 “Snow detection for flat land (snow 

mask) by VIS/NIR”. 

Operational satellite input data will be the MTG FCI. 


Flat and Forested Area product (by FMI) [WP D-4231] 

Mountainous Area product (by TSMS) [WP D-4232] 


WP output 


Scenario 2 



(1)RR [2014 Q2], 


Deliverables 

(2)PDR [2016 Q2] 

product chain H43, (2) ATBD-43 (FF contribute)





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110 

2 Work Packages Description – Operations 

2.1 Precipitation Products Operations 

2.1.1 Precipitation Chains Maintenance and Operations 

WP Number 

Responsible 

Country 

O-2100 

(O-2110 to 

O-2160) 

Italy 

Title 

Precipitation Chains Maintenance and Operations 

Responsible 

Institute 

ITAF CNMCA 

Participants 



The WP has in charge the operations related to the precipitation products generation chains. 

Chains related to the following products will be object of this WP: H01, H02, H03, H04, H05 ,H15. 


Scenario 5 

OR-1 [2013 Q1], 

OR-2 [2014 Q1], 

OR-3 [2015 Q1], 

OR-4 [2016 Q1], 

OR-5 [2017 Q1] 

WP output 

Deliverables 

Operational products, Operational report, Internal 

reports, Documents. 

Contribute to Operation Report 

2.1.2 Precipitation Products Maintenance 

WP Number O-2210 Title Precipitation Product H01 Maintenance 

Responsible 

Country 

Italy 

Responsible 

Institute 

CNR-ISAC 

Participants 



The WP has in charge maintenance of product H01. 

The WP will participate with SPs dedicated to operation to install the news codes. 

The WP has in charge the Internal Reports to support the SPs dedicated to implement and maintenance of 

news codes. 

The WP will participate to write the requested documents. 

WP output 



OR-1 [2013 Q1], 

Deliverables Contribute to Operation Report 

OR-2 [2014 Q1],





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Scenario 5 

OR-3 [2015 Q1], 

OR-4 [2016 Q1], 

OR-5 [2017 Q1] 


Responsible 

Country 

Italy 

Responsible 

Institute 

CNR-ISAC 

Participants 



The WP has in charge the maintenance of H02. 



news codes. 


WP output 


Scenario 5 


OR-1 [2013 Q1], 

OR-2 [2014 Q1], 

OR-3 [2015 Q1], Deliverables Contribute to Operation Report 

OR-4 [2016 Q1], 

OR-5 [2017 Q1] 


Responsible 

Country 

Italy 

Responsible 

Institute 

CNR-ISAC 

Participants 






news codes. 


WP output 


Scenario 5 


OR-1 [2013 Q1], 

OR-2 [2014 Q1], 


OR-4 [2016 Q1], 

OR-5 [2017 Q1]





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Responsible 

Country 

Italy 

Responsible 

Institute 

CNR-ISAC 

Participants 




New releases will be provided for Europe and a first for FD region. The releases are expected for T0+24, and a 

second release for the end of project. Since T0+24 to the end of DCOP-2 the WP is committed to resolve the 

problem highlighted from the validation results. 



news codes. 


120 

WP output 


Scenario 5 


ORR1 Part5 [2013 

Q4] 

OR-1 [2013 Q1], OR-2 

(1) Contribute to PVR (for ORRs); (2) Contribute to 

[2014 Q1], OR-3 Deliverables 

Operations Report (for ORs, updated twice a year) 

[2015 Q1], OR-4 

[2016 Q1], OR-5 

[2017 Q1] 


Responsible 

Country 

Italy 

Responsible 

Institute 

ITAF CNMCA 

Participants 









news codes. 


WP output 




Q4] 


Deliverables 

OR-1 [2013 Q1], 


OR-2 [2014 Q1],





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Scenario 5 

OR-3 [2015 Q1], 

OR-4 [2016 Q1], 

OR-5 [2017 Q1] 


Responsible 

Country 

Italy 

Responsible 

Institute 

CNR-ISAC 

Participants 









news codes. 




Scenario 5 


Q2] 

OR-2 [2014 Q1], 

OR-3 [2015 Q1], 

OR-4 [2016 Q1], 

OR-5 [2017 Q1] 

Deliverables 



2.2 Soil Moisture Products Operations 

2.2.1 Soil Moisture Chains Maintenance and Operations 

WP Number O-3110 Title Soil Moisture Chain C-H08 Maintenance and Operations 

Responsible 

Country 

Austria 

Responsible 

Institute 

ZAMG 

Participants 



This Service Package is in charge of the overall coordination of the operational infrastructure in terms of 

Hardware, Software, engineering and human resources in order to generate the soil moisture product SM- 

DIS-1 (disaggregated surface soil moisture product). 

WP output 

Operational chains (products), Operational report, Internal report, Documents.





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Scenario 5 


Q2] 

OR-1 [2013 Q1], 

OR-2 [2014 Q1], 

OR-3 [2015 Q1], 

OR-4 [2016 Q1], 

OR-5 [2017 Q1] 

Deliverables 




Responsible 

Country 

ECMWF 

Responsible 

Institute 

ECMWF 

Participants 


130 


The production of H14 (SM-DAS-2) is based on the use of EUMETSAT surface soil moisture product in the 

ECMWF Land Surface Analysis System. Data assimilation is the only reliable approach to retrieve both surface 

and root zone soil moisture profile from ASCAT surface soil moisture swath information. The product includes 

root zone profile AND surface soil moisture. For surface soil moisture the SM-DAS-2 product is highly valuable 

because it provides global coverage daily, from assimilation of the CAF swath data (global coverage in ~ three 

days). 

Assimilation of ASCAT surface soil moisture relies on firstly a forward operator (CDF matching) and secondly 

an Extended Kalman Filter of the root zone soil moisture. During the CDOP-2, adjustments of the CDF 

matching operator will be performed on a regular basis to account for updates in the ECMWF land Surface 

modelling and Analysis System, including resolution changes. 

ASCAT surface soil moisture data assimilation will be conducted in combination with SYNOP screen level data 

and possibly SMOS data when available. 

AA stand alone suite will produce H14 (SM-DAS-2) in Near Real Time using combined SYNOP and ASCAT data 

at slightly lower resolution (25km). H14 (SM-DAS-2) will be produced by ECMWF at global scale as a Liquid Soil 

Moisture Content Index and released to ZAMG. If the combined use of ASCAT soil moisture together with 

screen level data and SMOS data proves to have a positive impact on the forecast it will be also used in the 

operational ECMWF assimilation system (at ~16 km resolution). 



Scenario 5 


Q2] 

OR-1 [2013 Q1], 

OR-2 [2014 Q1], 

OR-3 [2015 Q1], 

OR-4 [2016 Q1], 

OR-5 [2017 Q1] 

Deliverables 

(1) Contribute to Operations Report (for ORs, 

updated twice a year) 


Responsible 

Country 

Austria 

Responsible 

Institute 

TU Wien Participants ZAMG





Date: 11/12/2012 

Page: 23/48 



The workpackage is in charge of supporting the operational implementation of the soil moisture processing 

code at EUMETSAT CAF. In order to enable an easy and proper integration, TU Wien will perform all necessary 

activities regarding the algorithm development, and will provide CAF the model parameter update database 

for further integration into the operational processing environment. The workpackage is also in charge of 

delivering necessary software maintenance updates that will be evaluated by EUMETSAT integration tests 

prior to implementation. Quality control is performed, reacting on changes of the instrument performance 

and the Level-1 processing (e.g. changes in the anomaly) which will be reported in appropriate format, for 

example in quality monitoring reports. Finally, the scientific user support for the product is performed, 

possibly with reporting to users via a web-site or other mechanism concerning anomaly issues and their fixes 

together with the creation of scientific documentation. 



Scenario 5 

PCR [2013 Q2], 


Q4] 

OR-3 [2015 Q1], 

OR-4 [2016 Q1], 

OR-5 [2017 Q1] 

Deliverables 

(1) ATBD16 (for PCR); 

(2) Contribute to PVR (for ORRs); 



2.2.2 Soil Moisture Products Maintenance 

WP Number O-3210 Title Soil Moisture Product H08 Maintenance 

Responsible 

Country 

Austria 

Responsible 

Institute 

TU Wien 

Participants 



The product H08 (SM-DIS-1), the product small-scale surface soil moisture by radar scatterometer) is based on 

a statistical downscaling approach, where a linear relationship between backscattering information of 

ENVISAT ASAR and METOP ASCAT is exploited. This approach has been first established for products over 

Europe. During the CDOP-2, further investigation of scaling techniques that might be adapted to improve the 

product generation will be performed (accounting for variation, error propagation, etc.). Exploring the use of 

additional sensors for downscaling (e.g. Sentinel-1 SAR data) will complement this task. Preparatory studies 

for extending the product coverage to wider regions outside Europe (e.g. Africa, Australia) will be performed. 

Due to the fact that data rates increase with increased spatial resolution, this tasks may be performed first 

with reduced resolution (e.g. 5 km), and possibly extended afterwards. 




Q2] 

OR-1 [2013 Q1], 

OR-2 [2014 Q1], 

OR-3 [2015 Q1], 

OR-4 [2016 Q1], 

Deliverables 



updated twice a year)





Date: 11/12/2012 

Page: 24/48 

Scenario 5 

OR-5 [2017 Q1] 


Responsible 

Country 

ECMWF 

Responsible 

Institute 

ECMWF 

Participants 



In this workpackage ECMWF will investigate the use of a new snow analysis scheme based on an Extended 

Kalman Filter (EKF) approach in order to use satellite snow data in the SM-DAS-2 production chain. This 

constitutes a major development which is being performed in both the research branch of the ECMWF 

Integrated Forecasting System and in the H14 production chain based on the ECMWF Land Surface Analysis 

System. These developments started in CDOP and will be continued in CDOP-2. Improving the snow analysis 

scheme is of crucial importance to improve the accuracy of the retrieved root zone soil moisture product in 

regions covered by snow in winter time. This is expected to be highly valuable in during the melting period in 

particular. The system will be tested to use H-SAF snow data in the early stage of the CDOP-2 and it will be 

implemented in the H14 production chain in case it has a positive impact on both soil moisture and lower 

level atmospheric variables. 

In parallel, improvements in the land surface model H-TESSEL, used in the data assimilation scheme will be 

investigated. Improving the land surface model soil moisture vertical representation might have a great 

impact on the root zone soil moisture profile quality. This will be investigated through the visiting scientist 

programme (3 months in CDOP-2). 

Based on the Visiting Scientist programme (3 months) the quality of the precipitation used in the data 

assimilation suite will also be investigated. A simple Optimum Interpolation precipitation analysis will be 

developed for this purpose. This will permit to estimate the uncertainties in the root zone soil moisture profile 

as support to the validation SPs. 

Operational chains (products), Operational report, Internal report, 

WP output 

Documents. 


Scenario 5 


Q1] 

OR-1 [2013 Q1], 

OR-2 [2014 Q1], 

OR-3 [2015 Q1], 

OR-4 [2016 Q1], 

OR-5 [2017 Q1] 

Deliverables 





Responsible 

Country 

Austria 

Responsible 

Institute 

TU Wien 

Participants 






Date: 11/12/2012 

Page: 25/48 


Improving the scientific algorithms for further integration at EUMETSAT CAF, performed in close feedback 

with EUMETSAT code developers. It includes the evaluation of the code- and product performance in order to 

react on changing circumstances (e.g. changes in sensor setup, calibration issues etc.) and their reflection in 

updated algorithmic implementations. 

WP output 


Scenario 2 


PCR [2013 Q2], 



Q4] 

Deliverables (2) Contribute to Operations Report (for ORs, 

OR-3 [2015 Q1], 


OR-4 [2016 Q1], 

OR-5 [2017 Q1] 

140 

WP Number O-3310 Title 

Responsible 

Country 

Austria 

Soil Moisture Software H24 User Services - Software Distribution, 

Support 

Responsible 

ZAMG 

Participants 

Institute 



Distribution of small software packages to the interested hydrology user community. Performing technical 

user support in case feedback is necessary. This Service Package will be performed in close cooperation with 

WP 3222 in order to improve the software functionality. 


Milestones N.A. Deliverables 

Scenario 

N.A. 

WP Number O-3320 Title Soil Moisture Software H24 User Services - Software Toolbox 

Responsible 

Country 

Austria 

Responsible 

Institute 

TU Wien 

Participants 



Development of a small software package (converter) to allow users the handling of the H-SAF soil moisture 

products. The software shall facilitate simple conversion for the users to extract surface soil moisture maps 

for their selected catchments or time periods of interest themselves. 


Milestones N.A. Deliverables 

Scenario 

N.A.





Date: 11/12/2012 

Page: 26/48 

2.3 Snow products operations 

2.3.1 Snow Chains Maintenance and Operations 

WP Number 

Responsible 

Country 

O-4110 

(O-4111, 

O-4112, 

O-4114) 

Title 


Snow Chain C-H10 Maintenance and Operations 

Responsible 

Institute 

FMI, TSMS 

Participants 



FF intermediate products chains operations [WP O-4110] 

Operational generation of intermediate snow products for non-mountainous areas in FMI generation chain. 

This includes data acquisition, product generation for non-mountainous areas and algorithm integration 

activities. 

MA intermediate products chains operations [WP O-4112] 

The activities will include: 

Coordination and project management of the snow parameters product development, managing 

snow product generation chain, conveying official documentation to H-SAF management, providing 

the engineering documentation needed for the Review meetings. 

Acquiring operational meteorological satellite data either by direct readout in real-time, or in nearreal-time 

by EUMETCast and data from R&D satellites, specifically. MODIS SSMI acquired via direct 

read-out. 

Managing the snow products generation chain on the available facilities, keep in-line and 

update/upgrade the facilities whenever necessary, maintain data quality and distribute the 

products after quality control. The products refer to mountainous areas, and be merged to those 

generated by Finland to cover flat and forested areas. The activities will also cover optimising 

operations so as to reduce computing time and improve timeliness of product outputting; and 

extending online quality control of products to be outputted. 

Installing and testing the instrument processors (if needed) and the ingestion interfaces for new 

instruments such as NPP/VIIRS and GCOM-W/AMSR-2 (assuming that these data are acquired 

already pre-processed); ingesting additional ground-based auxiliary data to be used in support of 

products generation, maintaining the software of the currently operational products (continue debugging, 

implement updates, etc. 

Merged products chains operations [WP O-4114] 

Operational merging of intermediate snow products from FMI (non-mountainous) and TSMS (mountainous 

areas) production chains. This includes the acquisition of TSMS products, product merging, integration of 

new merging algorithms and dissemination of the final products. 



OR-1 [2013 Q1], 

OR-2 [2014 Q1], 

OR-3 [2015 Q1], 

OR-4 [2016 Q1], 

OR-5 [2017 Q1] 

Deliverables Contribute to Operation Report





Date: 11/12/2012 

Page: 27/48 

Scenario 5 

WP Number O-4120 Title Snow Chain C-H11 Maintenance and Operations 

Responsible 

Country 

Finland 

Responsible 

Institute 

FMI 

Participants 



See WP 4110 “Snow chains operations – C-SN-H10” 

WP output 


Scenario 5 


ORR1 Part4 [2013 Q2] 


OR-2 [2014 Q1], OR-3 


[2015 Q1], OR-4 [2016 


Q1], OR-5 [2017 Q1] 

150 

WP Number 

Responsible 

Country 

O-4130 

(O-4131, 

O-4132, 

O-4134) 

Title 


Snow Chain C-H12 Maintenance and Operations 

Responsible 

Institute 

FMI, TSMS 

Participants 




WP output 


Scenario 5 



Q1] 

OR-1 [2013 Q1], 


OR-2 [2014 Q1], Deliverables (2) Contribute to Operations Report (for ORs, 

OR-3 [2015 Q1], 


OR-4 [2016 Q1], 

OR-5 [2017 Q1] 

WP Number 

O-4140 

(O-4141, 

O-4142, 

Title Snow Chain C-H13 Maintenance and Operations 

O-4144) 

Responsible Finland, Turkey Responsible FMI, TSMS Participants





Date: 11/12/2012 

Page: 28/48 

Country 

Institute 




WP output 


Scenario 5 



Q4] 


OR-2 [2014 Q1], 


OR-3 [2015 Q1], 


OR-4 [2016 Q1], 

OR-5 [2017 Q1] 

2.3.2 Snow Products Maintenance 

WP Number 

Responsible 

Country 

O-4210 

(O-4211, 

O-4212, 

O-4214) 

Title 


Snow Product H10 Maintenance 

Responsible 

Institute 

FMI, METU 

Participants 


FF Intermediate Products Development [WP O-4210] 

To study possible improvements using new approaches, to calibrate, characterise snow products (and their 

errors) existing at the end of CDOP (H10) for non-mountainous areas. Specifically: 

H10 (including operational LSA-SAF heritage products H10G and H10P): 

- non-mountainous development continues as part of H31 

In addition to snow products continuing from H-SAF CDOP, also 2 products from LSA-SAF are moved to H- 

SAF development activities. These products are H10G (Snow detection of flat land by VIS/IR radiometry 

(current operational SEVIRI based LSA-SAF snow product)), H10P (Snow detection of flat land by VIS/IR 

radiometry (current pre-operational LSA-SAF METOP/AVHRR based snow product)). The development of 

products H10G and H10P will be continued as part of development of H31. 

MA Intermediate Products Development [WP O-4212] 

Development and tuning of the algorithms for the products already being developed. The operational chain 

of H10/SN-OBS-1, which is a composite of two intermediate products, is already available. 

H10 (SN-OBS-1): 

To make updates on the developed algorithm for snow recognition product (H10(SN-OBS-1)) for the 

mountainous areas using the results obtained from validation activities. 

Merged Products Development [WP O-4214] 

To study possible improvements of merging mountainous and non-mountainous H10 snow product, and to 

characterise the error structures resulting from the merging.





Date: 11/12/2012 

Page: 29/48 

WP output 


Scenario 5 


OR-1 [2013 Q1], 

OR-2 [2014 Q1], 


OR-4 [2016 Q1], 

OR-5 [2017 Q1] 

WP Number O-4220 Title Snow Product H11 Maintenance 

Responsible 

Country 

Finland 

Responsible 

Institute 

FMI 

Participants 




- areal extent increase when H32/SN-OBS-0P operationally available from LSA-SAF processing chain 

- update to apply land use data 

In addition to snow products continuing from H-SAF CDOP, also 2 products from LSA-SAF are moved to H- 

SAF development activities. These products are H10G (Snow detection of flat land by VIS/IR radiometry 

(current operational SEVIRI based LSA-SAF snow product)), H10P (Snow detection of flat land by VIS/IR 

radiometry (current pre-operational LSA-SAF METOP/AVHRR based snow product)). The development of 

products H10G and H10P will be continued as part of development of H31 and H32. 



Scenario 5 


Q2] 

OR-2 [2014 Q1], 

OR-3 [2015 Q1], 

OR-4 [2016 Q1], 

OR-5 [2017 Q1] 

Deliverables 




WP Number 

Responsible 

Country 

O-4230 

(O-4231, 

O-4232, 

O-4234) 

Title 



Responsible 

Institute 

FMI, METU 

Participants 


FF Intermediate Products Development [O-4230] 



- updating of transmissivity data





Date: 11/12/2012 

Page: 30/48 

- inclusion of METOP/AVHRR from EUMETCast 

MA Intermediate Products Development [O-4232] 



Objectives: 

To adopt the developed algorithm for NOAA AVHRR 18, 19, Metop. 

To develop better cloud masking. 

To perform updating in the algorithm using the validation results. 

160 

Merged Products Development [O-4234] 

To study possible improvements of merging mountainous and non-mountainous H12 snow products, and to 

characterise the error structures resulting from the merging. 



Scenario 5 


Q1] 

OR-1 [2013 Q1], 

OR-2 [2014 Q1], 

OR-3 [2015 Q1], 

OR-4 [2016 Q1], 

OR-5 [2017 Q1] 

Deliverables 

(1) Contribute to PVR (for ORRs); (2) Contribute 

to Operations Report (for ORs, updated twice a 

year) 

WP Number 

Responsible 

Country 

O-4240 

(O-4241, 

O-4242, 

O-4244) 

Title 



Responsible 

Institute 

FMI, METU 

Participants 


FF Intermediate Products Development [WP O-4240] 



-find out the suitability of Sentinel 3 for SWE product generation 

MA Intermediate Products Development [WP O-4242] 



To update the algorithm considering the grain size retrieved from the measured snow depths at the WMO 

meteorological stations in order to achieve the user requirements. 

To update/develop the algorithms for new satellites (MTG/FCI, Metop, Sentinel,etc). 

Merged Products Development [WP O-4244] 

To study possible improvements of merging mountainous and non-mountainous H13 snow product, and to 





Q4] 

Deliverables 


(2) Contribute to Operations Report (for ORs,





Date: 11/12/2012 

Page: 31/48 

Scenario 5 

OR-2 [2014 Q1], 

OR-3 [2015 Q1], 

OR-4 [2016 Q1], 

OR-5 [2017 Q1] 


WP Number 

Responsible 

Country 

O-4250 

(O-4251, 

O-4252, 

O-4254) 

Title 



Responsible 

Institute 

FMI, METU 

Participants 


FF Intermediate Products Development [O-4250] 

- converge the algorithms of H12 and H10P to enhance the quality of fractional snow cover retrieval by 

exploiting the unique snow detection approach used in H10 products 

- development of MTG/FCI product 

- possibility of flagging snow on trees 

- additional 6 hours product for H10G (currently 24 hour product) 

- preparation for post-EPS 

MA Intermediate Products Development [O-4252] 

Development and tuning of the algorithms for the product H31 already being developed. 

Merged Products Development [O-4254] 

To study possible improvements of merging mountainous and non-mountainous snow products, and to 




Scenario 5 

(1) PCR [2014 

Q4], 

(2) ORR Part1 

[2015 Q2] 

OR-4 [2016 Q1], 

OR-5 [2017 Q1] 

Deliverables 




WP Number 

Responsible 

Country 

O-4260 

(O-4261, 

O-4262, 

O-4264) 

Title 



Responsible 

Institute 

FMI, METU 

Participants 






Date: 11/12/2012 

Page: 32/48 

MA Intermediate Products Development 

Development and tuning of the algorithms for the product H32 already being developed. 

FF Intermediate Products Development 


errors) existing at the end of CDOP for non-mountainous areas. 

Merged Products Development 

To study possible improvements of merging mountainous and non-mountainous snow products, and to 




Scenario 5 

(1) PCR [2014 Q4], 

(2) ORR Part1 [2015 Q2] 

OR-4 [2016 Q1], OR-5 

[2017 Q1] 

2.4 Validation Services 

2.4.1 Hydrovalidation Service 

Deliverables 


(2) Contribute to Operations Report (for 

ORs, updated twice a year) 

WP Number O-5100 Title Product interfacing and utilization improvement 

Responsible 

Country 

Poland 

Responsible 

Institute 

IMWM 

Participants 

Belgium (IRM), Bulgaria 

(NIMH), Finland (FMI), 

Germany (BfG), Italy 

(DPC), Turkey (AU,ITU, 

METU) 

Start time 

T0 

End 

time 

T0+60 


Activities in Poland (IMWM) – Responsible Institute 

1. Monitor and coordinate the work performances in the frame of OE 5100. 

2. Collecting the participant results and provide reports. 

3. Perform the analysis of possible product utility for hydrological tasks. 

4. Efforts on blending and merging techniques to improve level of different H-SAF products assimilation. 

5. Development of the tools for data format conversion acceptable by hydrological models. 

6. Works on snow and soil moisture products assimilation. 

Activities in Belgium (IRM) 

Preliminary evaluation of the products by comparison with standard input data (precipitation) or with 

hydrological model variable (soil moisture, snow) will be pursued. Development of assimilation tool is in 

progress. The test sites will be enlarged to most parts of the Scheldt and Meuse basins for precipitation, to the 

main sub-catchments in the Ardennes for the snow and to a set of catchments in the loamy region in central 

Belgium for the soil moisture. Hydrological validation procedure and tools will be adapted. New experiments 

will be prepared to assimilate soil moisture and snow products in the hydrological model. 

Activities in Bulgaria (NIMH) 

Activities: Set of input fields for the hydrological models facilitating the comparison of the hydrological 

products resulting from different inputs, such as: ground data, H-SAF data, combination of them will be 

prepared. The idea is to use the ground observations as “true values”, but of point type. The H-SAF data will





Date: 11/12/2012 

Page: 33/48 

be used to describe the spatial variability of the parameters, but as areal type. Interpolation procedure will be 

developed to produce fields based on the ground data for the level of the parameters and H-SAF data for the 

spatial gradient. New development will be a set up of near real time instruments for the assimilation of H-SAF 

data in the hydrological forecasting chain. 

Activities in Finland (FMI) 

Most sub-arctic regions have typically been very sparsely covered with in-situ snow depth and water 

equivalent observations. Validation of satellite based observations using purely point scale in-situ 

measurements may not be sufficient in these environments. Physically based Land Surface Models (namely 

VIC and JULES) will be introduced for direct validation of satellite based SWE and SCA observations, and in 

order to scale in-situ reference measurements from point observations to larger regional areas. The in-situ 

snow cover datasets will consists of high density FMI snow measurements and SYKE snow course 

measurements in and around the Sodankylä test site in Northern Finland. 

Activities in Germany (BfG) 

Appropriate scaling and data assimilation techniques to incorporate H-SAF products (accumulated 

precipitation, volumetric soil moisture, snow water equivalent) into hydrological models will be developed. 

Hydrological models of different spatial structures (semi-distributed, distributed) will be used. 

The developed procedures for data processing will be incorporated into a graphical user interface allowing 

operative hydrological modelling. 

Activities in Italy (DPC) 

The products considered to be of help for the civil protection operational activities will be integrated into the 

DEWETRA platform (Pagliara et al. 2011). It is a real-time integrated system for hydro-meteorological and 

wildfire risk forecasting, monitoring and prevention used by Italian Civil Protection. 

Activities in Turkey -1 (METU) 

To develop necessary interfacing tools for the validated snow products to prepare them as inputs to the 

hydrological models and to compare the results. 

To develop up-scaling and down-scaling approaches in product and model results comparison. 

To prepare H-SAF reports representing the comparison of snow product and hydrological model results both 

in graphical and statistical terms. 

INPUT: Snow products 

OUTPUT: Reports contributing to relevant Deliverable documents 

Activities in Turkey -2 (AU) 

Hydrological validation procedure and tools will be adapted to evaluate the snow products with internal 

hydrological model variables in the mountainous areas. Snow covered area and snow water equivalent 

variables will be utilized to analyze the performance of the products with hydrological models. 

INPUT: Snow products 

OUTPUT: Graphical terms, statistical evaluations, reports contributing to relevant Deliverable documents 

Activities in Turkey -3 (ITU) 

Objective of the OE is the products interfacing and utilization improvement. 

Rainfall-runoff conversion mechanism of satellite and AWOS rainfall measurements is going to be the main 

purposes of this work. Although there are many such conversion methods in this work the one that is 

available in HEC software will be employed for each AWOS and satellite rainfall measurements. Consequently, 

for each rainfall record in each case the corresponding hydrographs are going to be obtained and compared 

with each other. Such an assessment is possible through some methodologies such as Kriging, optimum 

interpolation, artificial neural networks and similar methodologies. Even simple techniques such as weighted 

areal averages can be employed. According to results the improvement of products is possible through 

various approaches as follows; an artificial neural network model (ANNM), Neuro-fuzzy algorithms or partial 

spatial weighting methodology. Moreover, other satellite products such as snow and soil moisture will be 

utilized in ANNM. 

WP Input 

H-SAF Products, 

ground data from 

raingauges, 

models 

WP Output/ 

deliverables 

Reports on the activity and results, tools for data 

conversion.





Date: 11/12/2012 

Page: 34/48 


Scenario N. A. 

ORR1 Part 4 and 

Part 5 

ORR2 Part1, Part2 

and Part3 

OR-1 [2013 Q1], 

OR-2 [2014 Q1], 

OR-3 [2015 Q1], 

OR-4 [2016 Q1], 

OR-5 [2017 Q1] 

2017 Q1 for the 

tool for data 

conversion 

Deliverables 

(1) Contribute to Hydrological Impact Validation 

Report; 

(2) Contribute to Operations Report (updated 

twice a year) 

(3) Tool for data conversion 

170 

WP Number O-5200 Title Impact studies and hydrological validation 

Responsible 

Country 

Poland 

Responsible 

Institute 

IMWM 

Participants 

Belgium (IRM), Bulgaria 

(NIMH), Finland (FMI), 

Germany (BfG), Italy (DPC), 

Slovakia (SHMU), Turkey 

(AU,ITU) 

Start time 

To 

End 

time 

To+60 


Activities in Poland (IMWM) 

Monitoring and coordinationg the work performances in the frame of OE 5200. Collecting the 

participant results and providing reports. 

Evaluation of the H-SAF precipitation products using operational hydrological model for selected river 

catchments. 

In the near future The Hydrologic Modeling System (HEC-HMS) will be introduced as operational in IMWM. 

HEC-HMS models of Soła, Skawa, Czarna and Wkra catchments will be used for the validation purposes. It is 

planned to validate several H-SAF precipitation products. The final validated products list will be prepared 

after verifying data-model compatibility. The obtained hydrograms will be then compared with the 

observations as well as the hydrograms calculated using standard precipitation data. The impact studies may 

include other products depending on the results of activities undertaken in the frame WP ‘Products/model 

interfacing in Poland’. It is also planned to assess the data quality and the temporal patterns by the water 

balance calculations, and to perform the case studies analyses for selected rainfall events in order to 

recognize spatial variability of the product quality. 


The baseline experiment will consist in the forcing of the SCHEME hydrological model with the 24h-cumulated 

precipitation product. The test sites will be enlarged according to the developments in WP 5101. New 

experiments will be performed to use the soil moisture (jointly with precipitation) and also snow products; 

this will depend on the progresses assessed through the product validation program and on the developments 

achieved in WP 5101. 


Different type of hydrological models will be adapted for this study: lumped parameter model and distributed 

parameter model. Versions of those models calibrated on conventional data sets of ground observations will





Date: 11/12/2012 

Page: 35/48 

be used. The input fields produced in work-package 5102 will be utilized to calculate 3 types of quality criteria: 

with application of ground data only; with application of H-SAF data only; combination of ground and H-SAF 

data. Following the progress of WP 5100 in the development of near real time instruments, such type of 

hydrological application will be tried for river basins where the ground data measurement frequency is not 

adequate. 


The Land Surface Models VIC and JULES will initially be run in and around the Sodankylä test site using an 

approx. 50 km radius. Possible adjustments to the Land Surface Models are made until an acceptable 

agreement between simulated and selected in-situ SWE observations for each land cover type is found. 

Further fine tuning of the models will be accomplished by comparing simulated top surface soil moisture, soil 

temperature (incl. soil freeze/thaw cycle) against corresponding in-situ observations. After the models have 

been calibrated and validated at point scale, SWE and SCA results can be used for direct pixel-by-pixel satellite 

based snow cover product validation over larger areas. 


Validation studies will be performed by use of two different options: 

- satellite products will be applied by data assimilation techniques in hydrological models and model results 

will be compared with observations, 

- hydrological model input and model states as well as variables calculated with different recorded 

hydrometeorological data sets will be compared with satellite derived hydrological and hydrometeorological 

H-SAF products. 

In deep impact studies with regard to special hydrological phenomena like floods of different genesis, low 

water periods, long lasting periods of snow etc. will be performed for pilot areas. Relevant pilot areas and 

time periods will be selected dependant on the phenomena which will occur during CDOP2 phase. 

H-SAF products will be evaluated by carrying out model runs with the updated hydrological modelling 

framework and by use of 

i) satellite derived precipitation estimates, 

ii) 

iii) 

assimilation of soil moisture and snow data into the modelling system, 

by generation of soil moisture and snow data by appropriate hydrological or 

hydrometeorological modelling. 

Simulated data will be analysed taking into account uncertainties stemming from the different data sources. 

The validation statistics will be interpreted from the end user point of view i.e. benefit/hints for operative 

hydrological modelling will be discussed. 

Activities in Italy (DPC) 

Soil moisture products will be used to define initial soil moisture conditions of operational hydrological 

models (SHM –Simplified Hydrological Model - and DRiFt). In particular the relationship between satellite soil 

moisture and the potential maximum soil moisture retention (SCS-CN method) will be calibrated by using 

discharge observations throughout the Italian territory (about 200 basins). This relationship will be used to 

define soil moisture initial condition for rainfall runoff models on a set of validation events. Moreover the soil 

moisture products will be combined with ACHAB energy balance model in order to define another evaluation 

of soil moisture state for rainfall runoff model initialization. Finally, the soil moisture products will be 

assimilated into continuous and distributed rainfall-runoff models to test the capability to improve runoff 

prediction considering different climatic, soil and land use conditions. 

Activities in Slovakia (SHMU) 

Impact studies on performance of satellite derived 24-hour accumulated precipitation data in hydrological 

modelling of runoff on selected test catchments. 

Compare influence of using only ground based data and satellite data as inputs to hydrological model on 

hydrological characteristics. Creation of relevant tables/charts documented performance of model in selected 

test catchments, identification of added values of satellite data on performance of hydrological models, 

preparation of final report on impact studies in selected test catchments.





Date: 11/12/2012 

Page: 36/48 

Attempts of Hron source code modification, to take the H-SAF soil moisture data and H-SAF snow 

water equivalent data as input, and prepare the H-SAF data to be ready for operative use (soil 

moisture and snow data product – if changes in model source coude will give satisfactory result). 

Activities in Turkey – 1 (AU) 

To evaluate the impact of validated snow products on the hydrological model results in the mountainous 

areas. The impact of snow covered area and snow water equivalent data are to be assessed using SRM and 

HBV models, respectively. The two test sites are Upper Euphrates Basin (Karasu Basin) and Kirkgöze Basin. The 

overall impacts of the snow detection products are to be accounted comparing the model results using 

different satellite products. 

To prepare the H-SAF reports representing the impact of snow products on hydrological model results both in 

graphical and statistical terms. 

INPUT: Snow products, snow products of different satellites. 

OUTPUT: Graphical terms, statistical evaluations of hydrological model results, reports contributing to 

relevant Deliverable documents 

Activities in Turkey – 2 (ITU) 

Objective of OE is the evaluation of products with running the HEC-HMS (Hydrologic Modeling System) 

hydrological model and to perform the hydrological impact study. 

The work, which was undertaken during DP and CDOP phases, will continue. In this work, selected test sites, 

which are Dombay and Killi sub basins in Susurluk Basin, and Kocaırmak sub basin in Western Black Sea Basin, 

will be used. If it is necessary, the number of test sites will be able to enlarge. H-SAF Precipitation products 

will be evaluated for their quality with running the HEC-HMS hydrological model. Surface automatic weather 

observing system (AWOS) variables and H-SAF precipitation products will be compared in through a 

hydrological model. H-SAF observing period is going to be considered for comparison. In addition to that some 

extreme events such as heavy and light rains are going to be selected from H-SAF data sample for the same 

purpose. 

WP Input 


Scenario 

H-SAF produced 

data, ground data 

from raingauges , 

models 


Part 5 


and Part3 

OR-1 [2013 Q1], 

OR-2 [2014 Q1], 

OR-3 [2015 Q1], 

OR-4 [2016 Q1], 

OR-5 [2017 Q1] 

N.A. 

WP Output/ 

deliverables 

Deliverables 

Case studies, statistics, Reports on the activity and 

results (statistical scores, graphs, etc.), conclusions, 

maps. 

(1) Contribute to Hydrological Impact Validation 

Report; 

(2) Contribute to Operations Report (updated 

twice a year) 

2.4.2 Product Validation Service 

WP Number O-6100 Title Product validation and value assessment 

Responsible 

Country 

Italy 

Responsible 

Institute 

DPC 

Participants 

Austria (TU Wien), Belgium 

(IRM), Bulgaria (NIMH), 

ECMWF, Finland (FMI), France 

(MeteoFrance), Germany 

(BfG), Hungary (OMSZ), Italy 

(UniFerrara), Poland (IMWM),





Date: 11/12/2012 

Page: 37/48 

Slovakia (SHMU), Turkey (ITU, 

METU, TSMS) 

Start time 

T0 

End 

time 

T0+60 


Activities In Italy (DPC) – Responsible Institute 

The main objective during the CDOP-2 is the implementation in automatic way the Validation Service defined 

during the CDOP for providing error structure information to users (hydrologists, meteorologists) and for 

supporting the product developers. 

Two validation activities are foreseen: 

Off- line activity for product accuracy evaluation; 

NRT activity for quality map generation. 

The following common validation methodologies are applied inside the validation group (precipitation, soil 

moisture and snow products) in collaboration with the product developers with the support of ground data 

experts: 

methodology based on large statistics (multi-categorical and continuous); 

methodology based on selected case studies. 

A product reliability index for precipitation, soil moisture and snow products, defined during CDOPis used to 

indicate in NRT the reliability of the precipitation estimation on the base of the analysis of the sensitive 

parameters of the product. 

A QI (quality index) will be evaluated on the bases of the studies of the correlation between product 

performance and input data features (satellite, channels, day/night…vegetation index). This index will have 

three values: low, medium, high. 

The QI maps generated will be published in NRT in the H-SAF web. 

Activities in Austria (TU Wien) 

Validation of soil moisture products against in-situ measurements, geophysical parameter datasets, satellite soil 

moisture datasets, or soil moisture datasets from global models. This will be performed either with the 

operational versions or with versions in development intended for future release. Outcomes of the 

workpackage are overviews about the performance and product summary analyses. 


The products will be validated using the tools set up during the development phase. Precipitation rate will be 

compared with radar data adjusted with automatic raingauge data; cumulated precipitation will be compared 

with (automatic and daily) raingauge data. Snow detection will be validated using the reports of synoptic 

stations and from the “TELECLIM” network. The snow products will also be compared with the snow water 

equivalent simulated with the SCHEME hydrological model. Surface soil moisture will be compared with the 

water content of the soil layer of the SCHEME hydrological model. If any, measurement of field experiments will 

be used as well. Some of the procedures developed during the previous phase will be improved. 


Activities: Classification of cases will be defined where the H-SAF products are sufficiently adequate and 

accurate and the quality criteria reached by the Hydrological Simulation models are sufficiently good. Those 

cases will be searched between the types of weather and synoptic situations generating significant time and 

space variations in to the hydrological outputs. Conclusions will be made on the limitations, if any in H-SAF 

products applications 

Activities in ECMWF 

The two ECMWF products H14 and H27 will be evaluated against ground measurements across different sites in 

Europe, US, West Africa. Based on the H-SAF Visiting Scientist Programme, inter-comparison between SMOS 

and H-SAF soil moisture products will be conducted. Outcomes of the workpackage are overviews about the 

performance and product summary analyses. 


The proposed snow products are validated using ground data where available. Also inter-comparisons to similar





Date: 11/12/2012 

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products can be performed, and regular case studies are made. The results are collected and summarized in 

Product Validation Reports. 

FMI contribution: 

- Validation of snow products in Finland 

- Input to Validation reports 

- Regularly made case studies 

- Support to product use for other members participating in validation activities 

Activities in France (MeteoFrance) 

The ASCAT SSM products will be compared with the in situ observations of the surface soil 

moisture (at 5cm depth) of the SMOSMANIA network in southern France, together with high resolution 

simulations of this quantity (using the ISBA model). Contribution to OR and VR reports. 


Continuous validation of the satellite derived precipitation products using ground data ( radar and rain gauges) 

on different spatial scales. 

Activities can be summarised as: 

- operational daily download and encryption of the H-SAF data 

- application of up scaling techniques for comparison satellite products with ground data 

- monthly evaluation of continuous and multi-categorical scores using ground data 

- Data performances are analysed for selected classes and geographic/climatic/seasonal situations by 

essentially automatic methods, such providing standard quality indexes 

- cumulated precipitation will be compared with (automatic and daily) rain gauge data 

- validate snow water equivalent and snow depth with raster data (e.g. from hydrometeorological 

models)as well as with data from synoptic stations 

The processing chain for encryption and analysing the data will be consolidated and optimised. Furthermore, 

new concepts for validating the products (e.g. validation statistics) will be developed and applied. 

Activities in Hungary (OMSZ) 

Objective of the WP in Hungary: Continuous validation of the precipitation products produced within the H- 

SAF consortia. Validation of other satellite-precipitation products in international cooperation. The products will 

be compared to the data of the Hungarian radar network. 

Description of the activity, related tasks: The data of H-SAF has to be downloaded; the radar data has to 

be stored, up-scaled, and processed in order to be able to be compared to satellite pixels. Development 

of new software to include new precipitation products; development of software handling the radar data 

updates. Quality assessment of the radar products in Hungary. 

The continuous and multi-categorical scores will be calculated for each month from the data generated from 

the satellite and radar files. Besides, case studies for different kind of precipitation events in 

Hungary will be carried out. This means the visualization of the H-SAF files along with other satellite products 

such as e.g. Cloud Type. 

Assessments of the monthly statistics for different satellite-products. 

Deliverables: Tables with the monthly statistical parameters will be provided. Visualization of the 

Multi-categorical statistics will be provided through charts. Reports containing images, description of the case 

studies, and conclusion as contributions. 


The precipitation and snow products will be validated using ground data as well as the methods and tools 

developed during development and CDOP phases. Precipitation products will be compared with the data from 

automatic rain gauges and radar data. The snow products will be validated against the data form Polish snow 

posts. 


SHMÚ will regularly collect and validate H-SAF precipitation products on the base of ground and radar network 

measurements over Slovak territory. Collection of H-SAF products will be done using ftp download and/or using 

EUMETCast reception station. Pre-processing of H-SAF precipitation products will be performed – decoding 

from Bufr or Grib formats into text or binary files, which will be upscaled and geographically matched with 

ground truth data. Raingauge, radar and integrated precipitation data sources available at SHMÚ are considered





Date: 11/12/2012 

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as ground truth after quality and consistency checks. Matched data will be processed using statistical 

procedures for continuous and multicategorical statistics on monthly base. Significant precipitation events over 

Slovak territory will be collected and evaluated in the frame of case studies. Results will be provided to 

developers on regular basis in a form of tables, charts and documentation. All results will be collected and 

recorded in presentations and reports. 

Activities in Turkey - 1 (TSMS) 

The product validation will be provided to support calibration and characterization activities of products being 

developed or upgraded. 

The validation will be performed by using the Automated Weather Observation Site (AWOS) soil moisture 

datasets obtained mainly from the middle and western parts of Turkey. At initial phase, the measured data will 

be verified based on the soil samples to be taken across at AWOS locations. 

The predefined statistical methods will be used to validate the performance of the product. 

Activities in Turkey – 2 (METU) 

To validate the developed (SN-OBS1, SN-OBS3, SN-OBS4) and proposed snow products (SN-OBS5 and SN-OBS7) 

on the mountainous areas by using ground observations (Met Stations, AWOS, Snow courses, etc) to 

characterize the error structure and the overall performance of the products. 

To prepare contingency tables to derive the statistical accuracy measures. 

To prepare the H-SAF validation reports to represent the status of compliance of H-SAF product quality with 

user requirements. 

INPUT: Snow products (SN-OBS1,SN-OBS3, SN-OBS4, SN-OBS5, SN-OBS7) 

Snow depth, SWE observed at ground (Met Stations, AWOS, snow courses), e-codes, satellite images having 

higher spatial resolution. 

OUTPUT: Statistical scores, Calibration/Validation reports contributing to relevant Deliverable documents 

Activities in Turkey – 3 (ITU) 

The main objective of the WP is to assess the validation of precipitation products by using TSMS precipitation 

ground based data. 

For this purpose WP, H-SAF data will be downloaded and the rain gauge data will be up-scaled for comparison 

with the satellite data. Subsequently, the continuous and multi-categorical statistics will be computed as 

monthly files. Moreover, these scores will be sent to precipitation product developer to improve the processing 

algorithms. Moreover, different case studies over Turkey will be carried out by using rain gauge and radar data. 

H-SAF data, 

WP Input ground 

WP Output Case studies, Statistics, Reports on validation results 

raingauges data 


Scenario 


Part 5 


and Part3 

OR-1 [2013 Q1], 

OR-2 [2014 Q1], 

OR-3 [2015 Q1], 

OR-4 [2016 Q1], 

OR-5 [2017 Q1] 

N.A. 

Deliverables 

(1) PVR (for ORRs); 



WP Number O-6200 Title Product monitoring and NRT feedback 

Responsible 

Country 

Italy 

Responsible 

Institute 

DPC 

Participants 

Austria (TU Wien), Belgium 

(IRM), Finland (FMI), France 

(MeteoFrance), Germany (BfG), 

Hungary (OMSZ), Poland 

(IMWM), Slovakia (SHMU),





Date: 11/12/2012 

Page: 40/48 

ECMWF, Turkey (TSMS) 

Start time 

T0 

End 

time 

T0+60 



The activity of this WP consists of: 

receiving the H-SAF products in NRT, generally via EUMETCast; 

recording operational features such as actual arrival, timeliness, intelligibility; 

provide a bulletin to ITAF CNMCA on operational monitoring results. The bulletin will act as a continuous 

monitoring of the operational effectiveness of the different operational chains and will inform almost in 

real time of the possible failures in the transmission of data. 

Identification and monitoring of the NRT operational features of Products is performed to support the 

operational chain for possible improvement. 

Activities in Austria (ZAMG) 

Provision of feedback on the technical and scientific aspects of the operationally produced soil moisture products, 

including timeliness, visualisation and quality assessment. 


A number of products will be received in NRT for operational use, their operational features will be recorded, a 

first quality assessment will be performed and a feedback provided to ITAF CNMCA. This workpackage will require 

to set-up automatic procedures to help the monitoring of the products. For this activity, potential partners will be 

contacted like the Weather Bureau of IRM in charge of severe weather warnings and Regional Authorities in 

charge of floods and droughts and with whom IRM has a long standing collaboration. 

Activities in ECMWF 

ECMWF operational Near Real Time monitoring of the ASCAT global surface soil moisture (SM) product will be 

continued in the H-SAF CDOP-2. ASCAT soil moisture monitoring relies on the ECMWF Integrated Forecasting 

System (IFS). 

Monitoring satellite products performances by watching observation values as well as first guess 

and analysis departures is highly relevant both to prepare the satellite product data assimilation and to give a 

real-time feedback on the product quality. These activities require permanent resources to maintain data use in 

the IFS, to update the operational monitoring web page, to update the visualization tools, etc. Monitoring of 

ASCAT soil moisture provides NRT assessment of the products quality at global scale and at regional scale. 


Monitoring of production chains to assess operational features. 

FMI monitors the production chain for non-mountainous areas to recognise problems in production, 

dissemination or availability of input data. Also, the monitoring of merging of non-mountainous and mountainous 

products to final output products is on the responsibility of FMI. 


Activities in France: NRT acquisition of the SMOSMANIA data and regular comparison with the ASCAT soil 

moisture products. Contribution to OR and VR reports. 

Activities in Germany(BfG) 

Monitoring of the performance of the H-SAF data distribution system 

Activities can be summarised as: 

- operation of a satellite reception station and processing software. 

- adaptation of the developed processing and reporting workflow to new requirements 

- performing the processing and reporting workflow 

- receiving the H-SAF products in NRT for operational use (acquisition of products from other SAF’s, of 

interest for Hydrology and Civil protection, will be preformed 

- recording operational features such as actual arrival, timeliness, intelligibility; 

- providing end-users’ quality assessment. 

A standard bulletin for the documentation of developed local procedures for acquisition, visualisation and





Date: 11/12/2012 

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inspection (visual and automatic) of operationaly received H-SAF and other SAFs products will be provided. 


Objective of the WP: Reception of the H-SAF precipitation products in operational environment; 

assessment of the quality of the products 

Description of the activity, related tasks: Update of the EUMETCast reception system parameters at the 

Hungarian Meteorological Service in order to receive H-SAF products in real-time. H-SAF precipitation products 

will be received operationally. Reception failures, timeliness will be recorded. H-SAF products will be stored. The 

products will be investigated according to the nominal size of each product, and the existence of their 

auxiliary data. Setup of database containing information on products’ acquisition, completeness, timeliness and 

quality. Deliverables: Filled WP-6200 standard bulletin. 


All operational H-SAF products will be received in NRT from EUMETCast system, their operational features will be 

recorded, a first quality assessment will be performed and a feedback provided to ITAF CNMCA. This Service 

Package will require to set-up automatic procedures to help the monitoring of the products. Assessment of 

products timeliness, completeness, and rough errors will be reported. 


SHMÚ will operate and maintain standard EUMETCast reception station dedicated to receiving channels for 

distribution of H-SAF products. SHMÚ will develop and operate semi-automatic pre-processing and control 

routines for H-SAF products distributed in near real time. These routines will be used to monitor and record time 

of arrival/timeliness, completeness and quality of products. Additionally routines for visualisation of products will 

be used for visual inspection of product’s quality. Results of automatic and visual control will be integrated into 

database containing complete information about product’s acquisition, completeness, timeliness and quality. This 

database will be used for creation of relevant statistical reports and bulletins as deliverables and feedback for H- 

SAF products developers. 

Activities in Turkey (TSMS) 

To monitor operational effectiveness of the products, perform initial quality assessment and provide NRT 

feedback of the status of the snow processing chain at TSMS. 

The activities will cover receiving the H-SAF products in NRT, generally via EUMETCast, for operational use; 

recording operational features such as actual arrival, timeliness, intelligibility; providing end-users’ quality 

assessment; and filling a bulletin and sending to ITAF CNMCA to contribute to mission monitoring. This Service 

Package will require to set-up automatic procedures to help the monitoring of the products. Assessment of 

products timeliness, completeness, and errors will be reported. 

WP output Monitoring bulletins, Input to product documentation on timeliness, availability etc. 


Scenario 


Part 5 


and Part3 

OR-1 [2013 Q1], 

OR-2 [2014 Q1], 

OR-3 [2015 Q1], 

OR-4 [2016 Q1], 

OR-5 [2017 Q1] 

N.A. 

Deliverables 


(2) Contribute to Operations Report (for ORs, updated 

twice a year) 

WP Number O-6300 Title Provision of ground data 

Responsible 

Country 

Italy 

Responsible 

Institute 

DPC 

Participants 

Belgium (IRM), Finland (FMI), 

France (MeteoFrance), 

Germany (BfG), Hungary 

(OMSZ), Poland (IMWM), 

Slovakia (SHMU), Turkey (TSMS)





Date: 11/12/2012 

Page: 42/48 

Start time 

T0 

End 

time 

T0+60 



The main objectives are: 

identification of the platform for data exchange; 

• realization of the service for recovering and providing ground data; 

• Coordination of the validation activities; 

• Collection , provision and archiving of ground data sets coming from 10 countries. 

The ground data used are: 

• rain gauge readings at frequent intervals; 

• meteorological radar; 

• soil moisture profile from specially equipped sites; 

• temperature measurements; 

• snow depth from equipped snow fields, 

• measurements made during field campaigns. 


Provision of raingauge and radar data, (soil moisture profile), and snow depth. 


Where applicable, to provide product developers and/or validation groups a provision of ground observations 

such as meteorological radar data, soil moisture profiles and snow depth over Europe for H-SAF products 

generation and quality control. These data can include data not otherwise accessible, such as measurements 

made during field campaigns. 

FMI provides data for calibration/validation use in cases where it is possible/feasible. These data can be for 

example automatic in-situ measurements (rain-gauge) or data acquired from special measurement campaigns. 


Activities in France: Provision of in situ soil moisture observations for the verification of the ASCAT soil moisture 

products. Soil moisture profiles (5cm, 10cm, 20cm, 30cm) of the SMOSMANIA soil moisture network in southern 

France, will be made available to H-SAF. 


Provision of ground data for validation and calibration of the satellite data products for the territory of the 

country. Activities can be summarised as: 

• collection of original station based ground data 

• quality check an error correction of ground data 

• interpolation (aggregation) of station data to problem oriented raster data 

• operational daily download and encryption of weather radar data 

• Provision of combined ground station and radar-based (precipitation) or combined ground station and 

model-based (snow) data fields 

Generally the data are provided by the Weather Services and has to be collected and prepared for the various 

requirements of the validation procedures. The relevant variable are precipitation, snow depth and snow water 

equivalent. 


Objective of the WP: Provision of Hungarian radar data corresponding to the same time periods as the H-SAF 

precipitation products 

Description of the activity: Hungarian meteorological radars have instantaneous precipitation products over 

Hungary every 15 minutes, on a resolution 2km by 2km. This data will be provided for H-SAF developers in 

binary or ASCII files for the periods requested so that they can integrate in the product development 

algorithms. Accumulated precipitation data is also produced by radars in Hungary, 12-hourly and 24-hourly sums 

are gauge-adjusted. This data will be equally provided to the H-SAF consortia for periods requested by 

developers. Description of the data format will be provided additionally.





Date: 11/12/2012 

Page: 43/48 

Deliverables: Instantaneous and accumulated radar information over the territory of Hungary for the periods 

requested by developers of H-SAF precipitation products. Time periods can be selected by day, or by precipitation 

events in Hungary. Report on the availability of ground data. Continuous processing of developers’ requests. 


Selected and relevant for the given meteorological situations data from Polish radar, Automatic Telemetric 

Stations (ATS), synoptic stations and snow posts networks will be prepared and provided to satellite products 

developers in order to support high quality calibration activities. 


SHMÚ will operate a procedures, which will collect, pack and distribute via dedicated link to dedicated server 

data on precipitation intensity. These data will be a result of SHMÚ radar network or raingauge network 

measurements after quality check. Data will be matched to H-SAF products using upscaling and areal integration 

and provided on regular monthly basis or in near real time. 

Activities in Turkey (TSMS) 

To provide ground observations to support H-SAF products generation or quality control. 

The available ground dataset such as, rain gauge readings at frequent intervals (i.e. as close as possible to 

instantaneous measurement), meteorological radar, soil moisture profile from specially equipped sites, and snow 

depth from specially equipped snow fields or courses will be provided with the predefined file format to be used 

in the improvement of the H-SAF products. 

WP output Data for validation/calibration activities 


Scenario 


Part 5 


and Part3 

OR-1 [2013 Q1], 

OR-2 [2014 Q1], 

OR-3 [2015 Q1], 

OR-4 [2016 Q1], 

OR-5 [2017 Q1] 

N.A. 

Deliverables 


(2) Contribute to Operations Report (for ORs, updated 

twice a year) 

WP Number O-6400 Title User applications - Impact validation 

Responsible 

Country 

Italy 

Responsible 

Institute 

DPC 

Participants 

Start time 

T0 

End 

time 

T0+60 


In addition to the validation (i.e. comparison between satellite measurements and ground truth), this WP will 

assess the impact of H-SAF products in application additional to Hydrology, specifically management of 

emergencies from heavy precipitation, treats to transport and water balance evaluation, etceteras. 

The participation to this e new WP is actually only based on DPC but it is expected to grow during CDOP-2 thanks 

to the collaborations of DPC with international, included non-European, Governmental Agencies. 

WP output 



ORR1 Part 4 and Part 5 

ORR2 Part1, Part2 and 

Part3 

OR-1 [2013 Q1], OR-2 

Deliverables (1) User Applications Impact Report 

[2014 Q1], OR-3 [2015 

Q1], OR-4 [2016 Q1], OR-5





Date: 11/12/2012 

Page: 44/48 

180 

Scenario 

[2017 Q1] 

N.A.





Date: 11/12/2012 

Page: 45/48 

2.5 Central Operations 

WP Number O-7000 Title Central Operations 

Responsible 

Country 

Italy 

Responsible 

Institute 

ITAF CNMCA 

Start time 

T0 

End 

time 

T0+60 


Operations management at system level regards centralized data services: 

• maintenance of the central archive; 

• monitoring and maintenance of the dissemination facilities; 

• management and keeping update the web portal; 

• controlling the regular processing and resolution of help desk requests. 

The central services as well as the products availability and timeliness will be subject to statistics and 

performance monitoring, focusing on the end-users point of view; operational users will be provided of reports in 

order to make them transparent the availability and timeliness of the H-SAF output. 

WP output 


Scenario 



Part 5 


and Part3 


OR-1 [2013 Q1], Deliverables (2) Contribute to Operations Report (for ORs, updated 

OR-2 [2014 Q1], 

twice a year) 

OR-3 [2015 Q1], 

OR-4 [2016 Q1], 

OR-5 [2017 Q1] 

N.A.





Date: 11/12/2012 

Page: 46/48 

3 Work Packages Description – Support Functions 

WP Number S-1100 Title Project Management 

Responsible 

Country 

Italy 

Responsible 

Institute 

ITAF USAM 

Participants 

ZAMG, FMI, 

CNMCA, DPC, 

IMGW 



Project Management provides general management and coordination of the project, with particular emphasis 

on the product operations. It includes secretariat services for administrative tasks and events organization. 

Main tasks are: 

• Support to the Steering Group and coordination of the Project Team; 

• Organization of Steering Group meetings and Project Team meetings; 

• Organization of Review Meetings and support activities to EUMETSAT Secretariat and Review Board; 

• Management of the Visiting Scientist activities; 

• Reporting and communication according SAF network requirements; 

• Documentation control 

• Configuration management 

• Coordination of deliverables according to agreements; 

• Coordination of web portal and help desk 

• Engineering and technical task coordination 

• Scientific tasks coordination 

• Secretariat services for administrative tasks and events organisation. 

It is decomposed into: 

WP S-1110 Project Management 

WBE S-1120 Cluster Coordination 

WP S-1130 Central Operations Coordination 

WP S-1140 Linkage to external programmes 

Moreover, the WBE S-1120 Cluster Coordination is furtherly decomposed into the following fourth level Work 

Packages: 

• WP S-1121 – Precipitation Cluster Coordination 

• WP S-1122 – Soil Moisture Cluster Coordination 

• WP S-1123 – Snow Cluster Coordination 

• WP S-1124 – Hydrovalidation Cluster Coordination 

• WP S-1125 – Product Validation Cluster Coordination 

The activites of the Hydrovalidation Cluster Coordination and Product Validation Cluster Coordination Work 

Packages, in particular, include the integration of the hydrovalidation and product validation activities 

performed by each participant, and the integration of each contribution to the Reports foreseen as Project 

Deliverables (PVR, HVR) into the final version of the documents to be delivered. 

WP output 

Decisions, Reports, Documents 

Milestones All milestones Deliverables 

(1) All project deliverables (for supervision and 

approval)





Date: 11/12/2012 

Page: 47/48 


(2) WP S-1120: PVR, HVR (for ORRs) 

WP Number S-1200 Title Project Planning, Coordination and Control 

Responsible 

Country 

Italy 

Responsible 

Institute 

Telespazio 

Participants 



This project function will have to coordinate and share scope and responsibilities such as define scheduling, 

revision of milestones and deadlines, revision of costs estimating and budgeting under the coordination of the 

Project Manager and jointly with the Project Team. 

During the CDOP-2 timeframe, the Project Planning, Coordination and Control will accomplish to the updating 

of planning elements by maintaining the Project Plan, and to the reporting function towards EUMETSAT by 

mean of dedicated documents, (Project Status Report, Financial Asset and Costs Report). 

WP output Reports, Documents. 

Milestones All milestones Deliverables Project Plan, PRD, PSR, Financial Report 


190 

WP Number S-1300 Title Engineering Management 

Responsible 

Country 

Italy 

Responsible 

Institute 

Telespazio 

Participants 



Engineering Management provides general coordination of the engineering activities that take place at the 

various product generation centres. 

It provides guidance aiming at harmonising the engineering procedures applied by the product generation 

centres, with special emphasis on the implementation of user-friendly standard codes and formats. 

It includes, moreover, the activities of verification and regression testing necessary to ensure correct 

integration of new or improved algorithms into the operational chains. 

Configuration management activities are also coordinated by the Engineering Management 

This task provides the engineering documentation needed for the Review meetings. 

WP output Internal reports, Engineering Documents. 

SRD, SDD, CRD, ACDD, SVVP, SIVVP, CMP, PP, PRD, 


CDD, ICD





Date: 11/12/2012 

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WP Number S-1400 Title Science Management 

Responsible 

Country 

Italy 

Responsible 

Institute 

ITAF USAM 

Participants 



Science Management is responsible for the coordination of scientific aspects of H-SAF during CDOP-2, among 

which the supervision of scientific tasks related to continuous development, hydrovalidation and product 

validation. 

It takes care of the revision of all scientific documents delivered and/or maintained during CDOP-2 and is 

responsible of the contacts with all participants as far as scientific matters are concerned. 

This task controls the product requirements verifying the compliance with the user requirements. 

Visiting Scientist activities coordination and management is also a prerogative task of the Science 

Management. 

The Scientific Coordination is in charge of the Science Manager, who attends to relevant meetings when the 

case, at SAF Network level 

The Science Manager will also accomplish to the settlement and running of the H-SAF Algorithm Group and H- 

SAF Soil Moisture & Snow Scientific Advisory Group. 

WP output Scientific Documents. 


Contribute to PRD 

all Scientific documents (for supervision and 

approval) 

Contribute to PP (for the Science Plan) and PSR (for 

VS and FA) 

Scenario N. A.

Annex I to the CDOP2 Project Plan - Work Package ... - H-SAF

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