Annex I to the CDOP2 Project Plan - Work Package ... - H-SAF
Annex I to the CDOP2 Project Plan - Work Package ... - H-SAF
Annex I to the CDOP2 Project Plan - Work Package ... - H-SAF
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CDOP-2 <strong>Project</strong> <strong>Plan</strong><br />
(<strong>Annex</strong> I)<br />
Doc. No: <strong>SAF</strong>/H<strong>SAF</strong>/<strong>CDOP2</strong>/PP/1.0<br />
Issue: Version 1.0<br />
Date: 11/12/2012<br />
Page: 24/48<br />
Scenario 5<br />
OR-5 [2017 Q1]<br />
WP Number O-3220 Title Soil Moisture Product H14 Maintenance<br />
Responsible<br />
Country<br />
ECMWF<br />
Responsible<br />
Institute<br />
ECMWF<br />
Participants<br />
Start time T0 End time T0+60<br />
Objectives and tasks:<br />
In this workpackage ECMWF will investigate <strong>the</strong> use of a new snow analysis scheme based on an Extended<br />
Kalman Filter (EKF) approach in order <strong>to</strong> use satellite snow data in <strong>the</strong> SM-DAS-2 production chain. This<br />
constitutes a major development which is being performed in both <strong>the</strong> research branch of <strong>the</strong> ECMWF<br />
Integrated Forecasting System and in <strong>the</strong> H14 production chain based on <strong>the</strong> ECMWF Land Surface Analysis<br />
System. These developments started in CDOP and will be continued in CDOP-2. Improving <strong>the</strong> snow analysis<br />
scheme is of crucial importance <strong>to</strong> improve <strong>the</strong> accuracy of <strong>the</strong> retrieved root zone soil moisture product in<br />
regions covered by snow in winter time. This is expected <strong>to</strong> be highly valuable in during <strong>the</strong> melting period in<br />
particular. The system will be tested <strong>to</strong> use H-<strong>SAF</strong> snow data in <strong>the</strong> early stage of <strong>the</strong> CDOP-2 and it will be<br />
implemented in <strong>the</strong> H14 production chain in case it has a positive impact on both soil moisture and lower<br />
level atmospheric variables.<br />
In parallel, improvements in <strong>the</strong> land surface model H-TESSEL, used in <strong>the</strong> data assimilation scheme will be<br />
investigated. Improving <strong>the</strong> land surface model soil moisture vertical representation might have a great<br />
impact on <strong>the</strong> root zone soil moisture profile quality. This will be investigated through <strong>the</strong> visiting scientist<br />
programme (3 months in CDOP-2).<br />
Based on <strong>the</strong> Visiting Scientist programme (3 months) <strong>the</strong> quality of <strong>the</strong> precipitation used in <strong>the</strong> data<br />
assimilation suite will also be investigated. A simple Optimum Interpolation precipitation analysis will be<br />
developed for this purpose. This will permit <strong>to</strong> estimate <strong>the</strong> uncertainties in <strong>the</strong> root zone soil moisture profile<br />
as support <strong>to</strong> <strong>the</strong> validation SPs.<br />
Operational chains (products), Operational report, Internal report,<br />
WP output<br />
Documents.<br />
Miles<strong>to</strong>nes<br />
Scenario 5<br />
ORR1 Part3 [2012<br />
Q1]<br />
OR-1 [2013 Q1],<br />
OR-2 [2014 Q1],<br />
OR-3 [2015 Q1],<br />
OR-4 [2016 Q1],<br />
OR-5 [2017 Q1]<br />
Deliverables<br />
(1) Contribute <strong>to</strong> PVR (for ORRs);<br />
(2) Contribute <strong>to</strong> Operations Report (for ORs,<br />
updated twice a year)<br />
WP Number O-3230 Title Soil Moisture Product H16 Maintenance<br />
Responsible<br />
Country<br />
Austria<br />
Responsible<br />
Institute<br />
TU Wien<br />
Participants<br />
Start time T0 End time T0+60