Estimating precipitation errors using spaceborne surface soil moisture retrievals

Details Estimating precipitation errors using spaceborne surface soil moisture retrievals Estimating precipitation errors using spaceborne surface soil moisture retrievals

Apr 2007

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007georl..3408403c&link_type=abstract

Geophysical Research Letters, Volume 34, Issue 8, CiteID L08403

Physics

9

Hydrology: Precipitation (3354), Hydrology: Remote Sensing (1640), Hydrology: Soil Moisture, Atmospheric Processes: Data Assimilation

Scientific paper

Limitations in the availability of ground-based rain gauge data currently hamper our ability to quantify errors in global precipitation products over data-poor areas of the world. Over land, these limitations may be eased by approaches based on interpreting the degree of dynamic consistency existing between precipitation estimates and remotely-sensed surface soil moisture retrievals. This paper demonstrates how such an approach can be implemented using a Kalman filter tuning procedure to reliably estimate daily rainfall errors in global precipitation products without reliance on ground-based rainfall observations.

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