Open AccessComparative assessment of evapotranspiration derived from NCEP and ECMWF global datasets through Weather Research and Forecasting model
Author(s) -
Srivastava Prashant K.,
Han Dawei,
Rico Ramirez Miguel A.,
Islam Tanvir
Publication year - 2013
Publication title -
atmospheric science letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.951
H-Index - 45
ISSN - 1530-261X
DOI - 10.1002/asl2.427
Subject(s) - weather research and forecasting model , environmental science , mean squared error , evapotranspiration , climatology , mesoscale meteorology , meteorology , global forecast system , numerical weather prediction , geography , mathematics , statistics , geology , ecology , biology
In many hydro‐meteorological applications, it is not always possible to get access to in situ weather measurements, especially for the ungauged catchments. This study explores the performances of downscaled weather data for Reference Evapotranspiration ( ET o ) retrieval using the global European Centre for Medium Range Weather Forecasts ( ECMWF ) ERA interim and National Centers for Environmental Prediction ( NCEP ) reanalysis data, simulated through Weather Research and Forecasting ( WRF ) mesoscale model. The range of the Nash‐Sutcliffe efficiency calculated for the ECMWF pooled datasets derived ET o varies from 0.31 to 0.87, while for NCEP it is found to be 0.11 to 0.38. Bias and Root Mean Square Error ( RMSE ) are also indicating a very high discrepancy in the NCEP ET o (Bias = −0.05; RMSE = 0.11) as compared to ECMWF (Bias = 0.00; RMSE = 0.06). The overall findings reveal that ECMWF downscaled products have a much better performance than the NCEP 's counterparts. Copyright © 2013 Royal Meteorological Society