PrISM : Precipitation Inferred from Soil Moisture
The concept of the PrISM (Precipitation Inferred from Soil Moisture) product is to exploit remote sensing soil moisture measurements to correct for a satellite-based rainfall product. As soil moisture can be seen as the trace of the precipitation, some research teams in US, France and Italy started to develop various algorithms to retrieve rainfall from soil moisture measurements based on in-situ or satellite soil moisture measurements (Crow et al, 2007, 2009, Pellarin et al., 2009, 2013, Brocca et al. 2013; 2014, Wanders et al. 2015, Zhan et al. 2015). The present methodology (PrISM) makes used of a simple land-surface model associated to an assimilation scheme (Particle Filter). The land-surface model is used to generate a first-guess soil moisture time-series based on a given satellite precipitation product. Then, this soil moisture time-series is compared to a satellite soil moisture product. The concept of the PrISM methodology is to exploit the difference between the two time-series by increasing or decreasing the amount of water of the original satellite precipitation product. The methodology is able to provide an unbiased real-time precipitation product based on the correction of a raw satellite-based precipitation product.
This project was supported by CNES (TOSCA) and ESA (SMOS+Rainfall Project ESA/AO/1-7875/14/I-NC).
Contact : Thierry Pellarin, email@example.com
The PrISM research products is freely available on FTP :
user : ext-catds-cecsm
password : catds2010
chdir : Land_products/L4_PrISM