Development of Radar-Based Multi-Sensor Quantitative Precipitation Estimation Technique
نویسندگان
چکیده
منابع مشابه
Incorporating Satellite Precipitation Estimates into a Radar-Gauge Multi-Sensor Precipitation Estimation Algorithm
Yuxiang He 1,2,* ID , Yu Zhang 3, Robert Kuligowski 4, Robert Cifelli 5 and David Kitzmiller 1 1 Office of Water Prediction (OWP), National Weather Service (NWS), NOAA, Silver Spring, MD 20910, USA; [email protected] 2 University Corporation for Atmospheric Research (UCAR), Boulder, CO 80307, USA 3 University of Texas at Arlington, Arlington, Texas 76019, USA; [email protected] 4 NOAA/NE...
متن کاملIncorporating Satellite Precipitation Estimates into a Radar-Gage Multi-Sensor Precipitation Estimation Algorithm
This paper presents a new and enhanced fusion module for the Multi-Sensor Precipitation Estimator (MPE) that would objectively blend real-time satellite quantitative precipitation estimates (SQPE) with radar and gauge estimates. This module consists of a preprocessor that mitigates systematic bias in SQPE, and a two-way blending routine that statistically fuses adjusted SQPE with radar estimate...
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1 Introduction Accurate quantitative precipitation estimation (QPE) is one of the most important elements in meteorological and hydrologic analyses. It has been long recognized, however, that rain gauge networks are usually inadequate because of their limited distribution. During the last decades intense scientific efforts have been devoted to utilize remote sensing information for the estimati...
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A procedure to accurately resample spaceborne and ground-based radar data is described, and then applied to the measurements taken from the Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR) and the ground-based Weather Surveillance Radar-1988 Doppler (WSR-88D or WSR) for the validation of the PR measurements and estimates. Through comparisons with the well-calibrated, non-atte...
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ژورنال
عنوان ژورنال: Atmosphere
سال: 2014
ISSN: 1598-3560
DOI: 10.14191/atmos.2014.24.3.433