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Global SMOS soil moisture retrievals using the land parameter retrieval model

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HAL Id: hal-02738687

https://hal.inrae.fr/hal-02738687

Submitted on 2 Jun 2020

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Global SMOS soil moisture retrievals using the land parameter retrieval model

Robin van der Schalie, Richard de Jeu, Yann H. Kerr, Jean-Pierre Wigneron, Nemesio Rodriguez-fernandez, Amen Al-Yaari, Matthias Drusch, Susanne

Mecklenburg, Han Dolman

To cite this version:

Robin van der Schalie, Richard de Jeu, Yann H. Kerr, Jean-Pierre Wigneron, Nemesio Rodriguez- fernandez, et al.. Global SMOS soil moisture retrievals using the land parameter retrieval model.

EGU 2015, European Geosciences Union General Assembly, European Geosciences Union (EGU).

DEU., Apr 2015, Vienne, Austria. �hal-02738687�

(2)

Geophysical Research Abstracts Vol. 17, EGU2015-9242, 2015 EGU General Assembly 2015

© Author(s) 2015. CC Attribution 3.0 License.

Global SMOS Soil Moisture Retrievals using the Land Parameter Retrieval Model

Robin van der Schalie (1), Richard de Jeu (1), Yann Kerr (2), Jean-Pierre Wigneron (3), Nemesio

Rodriguez-Fernandez (2), Amen Alyaari (3), Matthias Drusch (4), Susanne Mecklenburg (5), and Han Dolman (1) (1) VU University Amsterdam, Netherlands, (2) Centre d’Etudes Spatiales de la Biosphere (CESBIO), Toulouse, France, (3) Institut National de Recherche Agronomique (INRA), Avignon, France, (4) European Space Research and Technology Centre (ESTEC), ESA, Noordwijk, Netherlands, (5) European Space Research Institute (ESRIN), ESA, Frascati, Italy

The Land Parameter Retrieval Model (LPRM) is a methodology that retrieves soil moisture from low frequency

dual polarized microwave measurements and has been extensively tested on C-, X- and Ku-band frequencies. Its

performance on L-band is tested here by using observations from the Soil Moisture and Ocean Salinity (SMOS)

satellite. These observations have potential advantages compared to higher frequencies: a low sensitivity to cloud

and vegetation contamination, an increased thermal sampling depth and a greater sensitivity to soil moisture

fluctuations. These features make it desirable to add SMOS-derived soil moisture retrievals to the existing

European Space Agency (ESA) long-term climatological soil moisture data record, to be harmonized with other

passive microwave soil moisture estimates from the LPRM. SMOS measures brightness temperature at a range

of incidence angles, different incidence angles bins (42.5

◦

, 47.5

◦

, 52.5

◦

and 57.5

◦

) were combined and tested for

both ascending and descending swaths. Two SMOS LPRM algorithm parameters, the single scattering albedo and

roughness, were optimized against soil moisture from MERRA-Land, ERA-Interim/Land and AMSR-E LPRM

over the period of July 2010 to December 2010. The SMOS LPRM soil moisture retrievals, using the optimized

parameters, were then evaluated against the latest SMOS Level 3 (L3) soil moisture product and a set of in situ

networks over the period of July 2010 to December 2013. The evaluation against SMOS L3 result in very high

correlations over many parts of the world (>0.85), which is in line with earlier findings when SMOS LPRM was

compared to SMOS L3 over the OzNet sites in southeast Australia. This study is part of an ESA project (de Jeu et

al., this conference, session CL 5.7).

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