TY - JOUR
T1 - Comparing surface-soil moisture from the SMOS mission and the ORCHIDEE land-surface model over the Iberian Peninsula
AU - Polcher, Jan
AU - Piles, Maria
AU - Gelati, Emiliano
AU - Barella-Ortiz, Anaïs
AU - Tello, Marivi
N1 - Funding Information:
This work has been supported by the Spanish Ministry of Science and Education under the projects AYA2010-11062-C05-04 and AYA2010-11062-C05-05 . The first author is grateful to the Institut national des sciences de l'Univers-CNRS, and in particular Jean-Marie Flaud, for allowing his secondment to IC3. This work contributes to the FP7 Earth2Observe project under grant agreement No 603608. We would like to thank N. Sánchez and J. Martínez-Fernández for making the REMEDHUS data available and G. Balsamo for providing the ERA-I forcing.
Publisher Copyright:
© 2015 The Authors.
PY - 2016/3/1
Y1 - 2016/3/1
N2 - The aim of this study is to compare the surface soil moisture (SSM) retrieved from ESA's Soil Moisture and Ocean Salinity mission (SMOS) with the output of the ORCHIDEE (ORganising Carbon and Hydrology In Dynamic EcosystEm) land surface model forced with two distinct atmospheric data sets for the period 2010 to 2012. The comparison methodology is first established over the REMEDHUS (Red de Estaciones de MEDición de la Humedad def Suelo) soil moisture measurement network, a 30 by 40. km catchment located in the central part of the Duero basin, then extended to the whole Iberian Peninsula (IP). The temporal correlation between the in-situ, remotely sensed and modelled SSM are satisfactory (r. >. 0.8). The correlation between remotely sensed and modelled SSM also holds when computed over the IP. Still, by using spectral analysis techniques, important disagreements in the effective inertia of the corresponding moisture reservoir are found. This is reflected in the spatial correlation over the IP between SMOS and ORCHIDEE SSM estimates, which is poor (ρ. ~. 0.3). A single value decomposition (SVD) analysis of rainfall and SSM shows that the co-varying patterns of these variables are in reasonable agreement between both products. Moreover the first three SVD soil moisture patterns explain over 80% of the SSM variance simulated by the model while the explained fraction is only 52% of the remotely sensed values. These results suggest that the rainfall-driven soil moisture variability may not account for the poor spatial correlation between SMOS and ORCHIDEE products.
AB - The aim of this study is to compare the surface soil moisture (SSM) retrieved from ESA's Soil Moisture and Ocean Salinity mission (SMOS) with the output of the ORCHIDEE (ORganising Carbon and Hydrology In Dynamic EcosystEm) land surface model forced with two distinct atmospheric data sets for the period 2010 to 2012. The comparison methodology is first established over the REMEDHUS (Red de Estaciones de MEDición de la Humedad def Suelo) soil moisture measurement network, a 30 by 40. km catchment located in the central part of the Duero basin, then extended to the whole Iberian Peninsula (IP). The temporal correlation between the in-situ, remotely sensed and modelled SSM are satisfactory (r. >. 0.8). The correlation between remotely sensed and modelled SSM also holds when computed over the IP. Still, by using spectral analysis techniques, important disagreements in the effective inertia of the corresponding moisture reservoir are found. This is reflected in the spatial correlation over the IP between SMOS and ORCHIDEE SSM estimates, which is poor (ρ. ~. 0.3). A single value decomposition (SVD) analysis of rainfall and SSM shows that the co-varying patterns of these variables are in reasonable agreement between both products. Moreover the first three SVD soil moisture patterns explain over 80% of the SSM variance simulated by the model while the explained fraction is only 52% of the remotely sensed values. These results suggest that the rainfall-driven soil moisture variability may not account for the poor spatial correlation between SMOS and ORCHIDEE products.
KW - Land-surface modelling
KW - ORCHIDEE
KW - Remote sensing
KW - SMOS
KW - Soil moisture
UR - http://www.scopus.com/inward/record.url?scp=84954091052&partnerID=8YFLogxK
U2 - 10.1016/j.rse.2015.12.004
DO - 10.1016/j.rse.2015.12.004
M3 - Article
AN - SCOPUS:84954091052
SN - 0034-4257
VL - 174
SP - 69
EP - 81
JO - Remote Sensing of Environment
JF - Remote Sensing of Environment
ER -
