Transfer of satellite rainfall error from gaged to ungaged locations: How realistic will it be for the Global Precipitation Mission?

Details Transfer of satellite rainfall error from gaged to ungaged locations: How realistic will it be for the Global Precipitation Mission? Transfer of satellite rainfall error from gaged to ungaged locations: How realistic will it be for the Global Precipitation Mission?

May 2009

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009georl..3610405t&link_type=abstract

Geophysical Research Letters, Volume 36, Issue 10, CiteID L10405

Physics

Geophysics

2

Atmospheric Processes: Precipitation (1854), Atmospheric Processes: Remote Sensing, Mathematical Geophysics: Uncertainty Quantification (1873), Mathematical Geophysics: Spatial Analysis (0500), Hydrology: Hydrometeorology

Scientific paper

In this study, we investigate the fundamental open question facing the satellite rainfall data community today - If “error” is defined on the basis of independent ground validation (GV) rainfall data, how are these error metrics estimated for a satellite rainfall data product without the need for much extensive GV data? Using a six-year database of high resolution (0.25 degree and 3 hourly) satellite rainfall data over the United States and an optimal spatial interpolation method (ordinary kriging), we demonstrate that most error metrics (such as bias and probability of detection) are amenable for ‘transfer’ from gaged to ungaged locations than others. Our findings also indicate that a continuously-calibrated and regionalized error transfer scheme is technically feasible within the neighborhood of a gaged region if more research is carried out on the role played by different interpolation methods and the temporal structure of error.

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