Rain Type Classification Algorithm Module for GPM Dual-Frequency Precipitation Radar
نویسندگان
چکیده
منابع مشابه
Similarities and Improvements of GPM Dual-Frequency Precipitation Radar (DPR) upon TRMM Precipitation Radar (PR) in Global Precipitation Rate Estimation, Type Classification and Vertical Profiling
Spaceborne precipitation radars are powerful tools used to acquire adequate and highquality precipitation estimates with high spatial resolution for a variety of applications in hydrological research. The Global Precipitation Measurement (GPM) mission, which deployed the first spaceborne Kaand Ku-dual frequency radar (DPR), was launched in February 2014 as the upgraded successor of the Tropical...
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In space missions, the delay of a receiving signal to a transmission signal generally spans a few thousands microseconds due to long range observation. An efficient sampling can be achieved by transmitting pulses successively, as schematically shown in Fig. 1. For the later consideration, a catching integer n is to be introduced. In Fig. 1, the catching integer n is set at 11, for which a pulse...
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Global precipitation measurement is essential not only for the research of the global change but also for the water resources management. Currently, satellite precipitation measurement is not sufficient for the detailed study of the precipitation and is far from enough for the water resources management which requires very high spatial and temporal resolution. To fill the gap at least partly, t...
متن کاملObjectives and Characteristics of the Spaceborne Dual Frequency Precipitation Radar for GPM
The Dual-frequency Precipitation Radar (DPR) installed on the Global Precipitation Measurement (GPM) core satellite is being developed by JAXA and NICT. This paper describes the mission objectives, the precipitation measurement method and techniques, and the construction of the DPR. Keywords-GPM; DPR; precpitation measurement
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The purpose of this study is to demonstrate the use of polarimetric observations in a radar-based winter hydrometeor classification algorithm. This is accomplished by deriving bulk electromagnetic scattering properties of stratiform, cold-season rain, freezing rain, sleet, dry aggregated snowflakes, dendritic snow crystals, and platelike snow crystals at X-, C-, and S-band wavelengths based on ...
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ژورنال
عنوان ژورنال: Journal of Atmospheric and Oceanic Technology
سال: 2016
ISSN: 0739-0572,1520-0426
DOI: 10.1175/jtech-d-16-0016.1