Land Surface Hydrology in the European High-resolution Regional - - PowerPoint PPT Presentation
Land Surface Hydrology in the European High-resolution Regional Reanalysis UERRA Patrick Le Moigne, A. Verrelle, S. Munier, E. Bazile R. Abida, C. Szczypta METEO-FRANCE - CNRM-UMR3589 International Symposium on Regional Reanalysis 2018, Bonn
Land Surface Hydrology in the European High-resolution Regional Reanalysis UERRA
Patrick Le Moigne, A. Verrelle, S. Munier, E. Bazile
METEO-FRANCE - CNRM-UMR3589 International Symposium on Regional Reanalysis 2018, Bonn
q Context and motivation q Modelling system q Water and Energy balance components q Hydrological evaluation
q UERRA
– Development and production of an ensemble system of regional reanalysis – Estimation of ECVs and their uncertainties
q Motivation of the study
– To use the 1961-2015 55-yr high-resolution reanalysis over Europe – To setup a coupled hydro-meteorological modelling system
– For the main European rivers
– An estimate of land surface water balance components » Applications: agriculture, droughts, irrigation, … – An evaluation of simulated discharges against measurements » To be compared to existing systems like EU-HYPE, EFAS for floods, …
DOWNSCALING @ 5.5km Land Surface Model SURFEX @5.5km
Surface ECVs soil moisture, snow, etc.
No feedback to atm.
ALADIN 3D-VAR 6h @ 11km 2m-Temperature 2m-Relative Humidity Total precipitation Solar radiation Infrared radiation Wind speed MESCAN @ 5.5km Surface Obs Hydrological Model CTRIP @ 0.5°
River discharge, Water table height, floodplain fraction
Bubnova et al., 1995
Soci et al., 2013
Masson et al., 2013
Decharme et al., 2011
ALADIN is a LAM build from the French global ARPEGE model 3D-Var DA: 6-hourly, conventional obs
Horizontal mesh: 11km MESCAN is a combination of MESAN (SMHI) and CANARI (MF) Surface analysis: obs T2M, RH2M,
guess Horizontal mesh: 5.5km
NET RADIATION GROUND FLUX SENSIBLE HEAT FLUX LATENT HEAT FLUX
W/m2 W/m2 W/m2 W/m2
PRECIPITATION EVAPORATION INFILTRATION RUNOFF
P – E INFILTRATION / ( P – E ) RUNOFF RUNOFF / ( P – E ) SWE
CTRIP Network @ 0.5
GRDC ARCTICNET French national database Spanish national database
Min drainage area: 5000 km2 Min 3yr with available data
Drainage Area Future Network @ 1/12
Under development @ CNRM
Distribution of discharge ratio
How to explain discharge underestimation? Physics of the system: Radiation overestimation, Underestimation of precipitation Human activity not accounted for in the model: Presence of dams
46% 0.5
Distribution of NSE NSE Qsim / Qobs
2015
Danube river @ Zimnicea (Roumania, 658400km2) – Nash=0.65 Qsim/Qobs=0.97 Discharge (mm/day) Danube river @ Regensburg (Germany, 35400km2) – Nash=0.28 Qsim/Qobs=0.78 Discharge (mm/day)
A complex catchment area in terms of climate, morphology, human practices, etc.
2015 2015
Typical of a mountainous area with a balance between rain and evaporation during summer, snow in winter, and increasing runoff and infiltration after melting Danube catchment area
q A hydro-meteorological modelling system was set up to assess the UERRA reanalysis performance over Europe using independent variables q Production of a climatology of the water balance components: surface runoff, soil deep infiltration, soil moisture, evaporation, etc. q Comparisons over Europe highlight discharge underestimation, that can be attributed to human activity and system errors q Studying the 55-yr reanalysis will help understanding inter-annual variability of river discharge q SURFEX-CTRIP has provided a valuable dataset for users to study droughts, floods, etc. q 1961-2015 data is available in ECMWF MARS archiving system
q A hydro-meteorological modelling system was set up to assess the UERRA reanalysis performance over Europe using independent variables q Production of a climatology of the water balance components: surface runoff, soil deep infiltration, soil moisture, evaporation, etc. q Comparisons over Europe highlight discharge underestimation, that can be attributed to human activity and system errors q Studying the 55-yr reanalysis will help understanding inter-annual variability of river discharge q SURFEX-CTRIP has provided a valuable dataset for users to study droughts, floods, etc. q 1961-2015 data is available in ECMWF MARS archiving system