Simulation of sampling error of average rainfall rates in space and time by five satellites using radar-AMeDAS composites

Details Simulation of sampling error of average rainfall rates in space and time by five satellites using radar-AMeDAS composites Simulation of sampling error of average rainfall rates in space and time by five satellites using radar-AMeDAS composites

Jan 2006

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006georl..3301816i&link_type=abstract

Geophysical Research Letters, Volume 33, Issue 1, CiteID L01816

Physics

Geophysics

1

Biogeosciences: Remote Sensing, Hydrology: Precipitation-Radar, History Of Geophysics: Hydrology, Hydrology: Hydroclimatology

Scientific paper

Sampling error has long been an important issue in satellite-based rainfall measuring mission planning such as for TRMM and GPM (Global Precipitation Measurement), and in evaluating global maps of space-time average rain rate from multi-satellite rainfall data. Sampling errors due to sparse space-time rainfall observations from five currently operated low-earth-orbiting satellites (Aqua, DMSP-F13, F14, F15, TRMM (Tropical Rainfall Measuring Mission)) were evaluated using 3-year radar-AMeDAS composite data around Japan. We simulate realistic observational patterns for the satellite-borne microwave radiometers. Root-mean-square sampling error is expressed as a fraction of true average rain rate. We formulate sampling error as a function of space scale ranging from 0.1° to 5.0°, time scale from 1 to 30 (day), and true average rain rate from 0.001 to 15 (mm/h) for five different combinations of these five satellites.

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