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Validation (WP 4). Eddy Moors, Herbert ter Maat, Cor Jacobs. Validation experiments. WP 4100 GSWP Validation. Validate ELDAS products, in particular: soil moisture and flux data in Europe river runoff. Validation GSWP. Quality of input data Local scale measurements
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Validation (WP 4) Eddy Moors, Herbert ter Maat, Cor Jacobs
WP 4100 GSWP Validation Validate ELDAS products, in particular: • soil moisture and flux data in Europe • river runoff
Validation GSWP • Quality of input data • Local scale measurements • Regional scale measurements
Variables to be analyzed (GSWP validation) • Temporal scale: • total soil moisture content • total evaporation (E) • Evaporative fraction (LE : (LE+H)) • Bowen ratio (H : LE) • Evaporation energy ratio (LE : Rnet) • Evaporation precipitation ratio (E : P) • Relative soil storage capacity ( ). • Spatial scale (auto-correlation,Vinnikov et al., 1996): • soil moisture, • precipitation and • evaporation
GSWP - Data: 1 Oct. 1999 – 31 Dec. 2000 • CarboEurope sites • Scintillometer experiments by Department of Meteorology and Air Quality, Wageningen University • Danish Pesticide Leaching Assessment Programma (PLAP) • BALTEX (BALTic sea EXperiment) • Dr. Claudia Notarnicola, Dip. Interateneo di Fisica, Via Amendola 173, I- 70126 Bari, ITALY • Maurice Borgeaud et al., 2002, ESA
CarboEurope Autonomous experiments PLAP Scintillometer Experiments, WU BALTEX
Area dependent parameters (Model data) • Vegetation type (PELCOM classification) • LAI and/or coverage • Soil type (FAO soil map) • Rooting depth • Volumetric soil moisture content at wilting point for each layer (m3/m3) • Volumetric soil moisture content at field capacity for each layer (m3/m3) • Vertical discretisation (m)
Temporal data (Model data) For all tiles within the pixel: • mean, • std deviation (over the requested time interval), • analysis error, • absolute error
Temporal data (Model data) Meteorological output fields near the surface (i.e. the lowest modelling height, please indicate this height) in ASCII-format Every 3 hours: • Net radiation (W m-2) • Global radiation (W m-2) • Shortwave outgoing radiation (W m-2) • Longwave incoming radiation (W m-2) • Longwave outgoing radiation (W m-2) • Latent heat flux (W m-2) • Sensible heat flux (W m-2) • Soil heat flux (W m-2) • Air temperature (K) • Air humidity (g kg-1) • Windspeed (m s-1) • Surface resistance (s m-1)
Temporal data (Model data) Hydrological output fields in ASCII-format Every 6 hours: • Evaporation (mm) • Potential evapotranspiration (mm) • Precipitation (mm) • Net precipitation (mm) • Runoff (mm) • Drainage (mm) • Water table depths (m) • Total soil moisture (mm) • Soil moisture in rooting zone (mm) • Volumetric soil moisture content at different depths (m3/ m3, max. 5 layers) • Soil temperature at different depths (K, max. 5 layers)
Temporal data (Model data) Hydrological output fields in ASCII-format Every day: • Evaporation (mm) • Potential evapotranspiration (mm) • Precipitation (mm) • Net precipitation (mm) • Runoff (mm) • Drainage (mm) • Water table depths (m) • Total soil moisture (mm) • Soil moisture in rooting zone (mm)
Spatial data (Model data) Spatial data covering the complete model domain (15 W, 38 E, 35 N, 72 N, output for each pixel and NOT for each tile in GRIB -format): Every month: • Precipitation (mm) • Evaporation (mm) • Total soil moisture (mm) • Soil moisture in rooting zone (mm) • Soil moisture for the first 2 layers (mm)
Questions related to the validation • Time schedule? • Accuracy? • Validation: • daily/3hourly precipitation - radiation - heating rates - observations • radiation - “simple” equation • Discharge (Runoff) data? • (How) can we use the background error? • Zero hypothesis: • When do we accept/reject the results? • < 4% soil moisture volume?