An evaluation and regional error modeling methodology for near-real-time satellite rainfall data over Australia

In providing uniform spatial coverage, satellite‐based rainfall estimates can potentially benefit hydrological modeling, particularly for flood prediction. Maximizing the value of information from such data requires knowledge of its error. The most recent Tropical Rainfall Measuring Mission (TRMM) 3...

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Veröffentlicht in:	Journal of geophysical research. Atmospheres 2015-10, Vol.120 (20), p.10,767-10,783
Hauptverfasser:	Pipunic, Robert C., Ryu, Dongryeol, Costelloe, Justin F., Su, Chun-Hsu
Format:	Artikel
Sprache:	eng
Schlagworte:	Alarm systems Approximation Atmospheric precipitations Benchmarks Bias Bins Clusters Construction Data Detection Distribution Error analysis Error correction Error detection Errors Estimates Estimation Evaluation Extreme value distribution Extreme values False alarms Floods Forecasting Gages Gauges Geophysics Global precipitation Hydrologic data Hydrology Mathematical models Measurement Meteorological satellites Methodology Modelling Pixels Precipitation Prediction models Probability theory Procedures Products Rain Rainfall Rainfall data rainfall estimate error model rainfall estimate evaluation real-time satellite rainfall estimate Reliability Removal Satellites TRMM 3B42RT version 7 Tropical climate Tropical rainfall Tropical Rainfall Measuring Mission (TRMM) Uncertainty Variance
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