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

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CDOP-2 Project Plan (Annex I) Doc. No: SAF/HSAF/CDOP2/PP/1.0 Issue: Version 1.0 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 To study possible improvements using new approaches, to calibrate, characterise snow products (and their 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 characterise the error structures resulting from the merging. WP output Operational chains (products), Operational report, Internal report, Documents. Milestones 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 (1) Contribute to PVR (for ORRs); (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 Objectives and tasks: 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
CDOP-2 Project Plan (Annex I) Doc. No: SAF/HSAF/CDOP2/PP/1.0 Issue: Version 1.0 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.
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Annex I to the CDOP2 Project Plan - Work Package ... - H-SAF

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