TY - JOUR
T1 - A global simulation of microwave emission: Error structures based on output from ECMWF’s operational Integrated Forecast System, IEEE Transactions on Geoscience and Remote Sensing
AU - Holmes, T.R.H.
AU - Drusch, M.
AU - Wigneron, J.P.
AU - de Jeu, R.A.M.
PY - 2008
Y1 - 2008
N2 - The European Centre for Medium-range Weather Forecasts (ECMWF) brightness will use temperatures from the Soil Moisture and Ocean Salinity mission to analyze root zone soil moisture through a variational data assimilation system. The first guess is obtained from numerical weather prediction (NWP) model fields, an auxiliary database, and a land surface microwave emission model. In this paper, we present the Community Microwave Emission Model and research the first-guess errors in L-band brightness temperatures. An error propagation study is performed on errors introduced through: 1) uncertainties in the parameterizations of the radiative transfer model; 2) auxiliary geophysical quantities for the radiative transfer computations; and 3) an imperfect NWP model. It is found that the vegetation and dielectric models introduce uncertainties with a difference of up to 25 K between models. However, the biggest error in brightness temperature is likely related to the use of an auxiliary vegetation database, which results in differences of −20 to +20 K in our simulations. These potential errors are in many regions higher than the variance in brightness temperatures related to an imperfect NWP model. © 2008, IEEE. All rights reserved.
AB - The European Centre for Medium-range Weather Forecasts (ECMWF) brightness will use temperatures from the Soil Moisture and Ocean Salinity mission to analyze root zone soil moisture through a variational data assimilation system. The first guess is obtained from numerical weather prediction (NWP) model fields, an auxiliary database, and a land surface microwave emission model. In this paper, we present the Community Microwave Emission Model and research the first-guess errors in L-band brightness temperatures. An error propagation study is performed on errors introduced through: 1) uncertainties in the parameterizations of the radiative transfer model; 2) auxiliary geophysical quantities for the radiative transfer computations; and 3) an imperfect NWP model. It is found that the vegetation and dielectric models introduce uncertainties with a difference of up to 25 K between models. However, the biggest error in brightness temperature is likely related to the use of an auxiliary vegetation database, which results in differences of −20 to +20 K in our simulations. These potential errors are in many regions higher than the variance in brightness temperatures related to an imperfect NWP model. © 2008, IEEE. All rights reserved.
UR - https://www.scopus.com/pages/publications/85008008408
UR - https://www.scopus.com/inward/citedby.url?scp=85008008408&partnerID=8YFLogxK
U2 - 10.1109/TGRS.2007.914798
DO - 10.1109/TGRS.2007.914798
M3 - Article
SN - 0196-2892
VL - 46
JO - IEEE Transactions on Geoscience and Remote Sensing
JF - IEEE Transactions on Geoscience and Remote Sensing
ER -
