Rainfall estimation by inverting SMOS soil moisture estimates: A comparison of different methods over Australia-Reference-Cited by-同舟云学术

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Rainfall estimation by inverting SMOS soil moisture estimates: A comparison of different methods over Australia

Published:2016-10-25 Issue:20 Volume:121 Page:12,062-12,079
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:J. Geophys. Res. Atmos.

Author:

Brocca Luca¹^ORCID,Pellarin Thierry²,Crow Wade T.³,Ciabatta Luca¹,Massari Christian¹,Ryu Dongryeol⁴,Su Chun-Hsu⁴,Rüdiger Christoph⁵,Kerr Yann⁶

Affiliation:

1. Research Institute for Geo-hydrological Protection; National Research Council; Perugia Italy

2. LTHE; University Grenoble Alpes, CNRS; Grenoble France

3. Hydrology and Remote Sensing Laboratory; USDA-ARS; Beltsville Maryland USA

4. Department of Infrastructure Engineering; University of Melbourne; Melbourne Victoria Australia

5. Department of Civil Engineering; Monash University; Clayton Victoria Australia

6. Centre d'Etudes Spatiales de la Biosphère; CNES CNRS IRD UPS; Toulouse France

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/2016JD025382/fullpdf

Reference56 articles.

1. Global-scale evaluation of two satellite-based passive microwave soil moisture datasets (SMOS and AMSR-E) with respect to Land Data Assimilation System estimates;Al-Yaari;Remote Sens. Environ.,2014a

2. Global-scale comparison of passive (SMOS) and active (ASCAT) satellite based microwave soil moisture retrievals with soil moisture simulations (MERRA-Land);Al-Yaari;Remote Sens. Environ.,2014b

3. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking;Arulampalam;IEEE Trans. Signal Process.,2002

4. Assimilation of surface and root-zone ASCAT soil moisture products into rainfall-runoff modelling;Brocca;IEEE Trans. Geosci. Remote Sens.,2012

5. A new method for rainfall estimation through soil moisture observations;Brocca;Geophys. Res. Lett.,2013

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