TY - JOUR
T1 - Ground validation of GPM DPR algorithms by hydrometeor measurements and polarimetric radar observations of winter snow clouds
T2 - A case study on 4 February 2018
AU - Kamamoto, Rimpei
AU - Suzuki, Kenji
AU - Kawano, Tetsuya
AU - Hanado, Hiroshi
AU - Nakagawa, Katsuhiro
AU - Kaneko, Yuki
N1 - Funding Information:
work of the Data Integration and Analysis System (DIAS). The analysis routine of the hydrometeor classification for X-MP radar was provided by Nagoya University. We are grateful to the anonymous reviewers for their valuable suggestions, which helped to improve the manuscript. The present study was supported by the JAXA Precipitation Measuring Mission (PMM) research program under Grant JX-PSPC-500455.
Funding Information:
The X-MP dataset is archived and provided under the framework of the Data Integration and Analysis System (DIAS). The analysis routine of the hydrometeor classification for X-MP radar was provided by Nagoya University. We are grateful to the anonymous reviewers for their valuable suggestions, which helped to improve the manuscript. The present study was supported by the JAXA Precipitation Measuring Mission (PMM) research program under Grant JX-PSPC-500455.
Publisher Copyright:
© The Author(s) 2020.
PY - 2020
Y1 - 2020
N2 - Two products from the Global Precipitation Measurement (GPM) Dual-frequency Precipitation Radar (DPR) algorithms, a flag of intense solid precipitation above the-10°C height ("flagHeavyIcePrecip") and a classification of precipitation type ("typePrecip") were validated by ground-based hydrometeor measurements and X-band multi-parameter (X-MP) radar observations of snow clouds on 4 February 2018. Contoured frequency by altitude diagrams of the X-MP radar reflectivity exhibited a significant difference between footprints flagged and unflagged by the "flagHeavyIcePrecip" algorithm, which indicated that the algorithm is reasonable. The hydrometeor classification (HC) by the X-MP radar, which was confirmed by microphysical evidence from ground-based hydrometeor measurements, suggested the existence of graupel in the footprints with "flagHeavyIcePrecip". In addition, according to the information of the GPM DPR, the "flagHeavyIcePrecip" footprints were characterized by not only graupel but also large snowflakes. According to the information of X-MP radar HC, the "typePrecip" algorithm by the detection of "flagHeavyIcePrecip" was effective in classifying precipitation types of snow clouds, whereas it seems that there is room for improvement in the "typePrecip" algorithms based on the extended-DPRm-method and H-method.
AB - Two products from the Global Precipitation Measurement (GPM) Dual-frequency Precipitation Radar (DPR) algorithms, a flag of intense solid precipitation above the-10°C height ("flagHeavyIcePrecip") and a classification of precipitation type ("typePrecip") were validated by ground-based hydrometeor measurements and X-band multi-parameter (X-MP) radar observations of snow clouds on 4 February 2018. Contoured frequency by altitude diagrams of the X-MP radar reflectivity exhibited a significant difference between footprints flagged and unflagged by the "flagHeavyIcePrecip" algorithm, which indicated that the algorithm is reasonable. The hydrometeor classification (HC) by the X-MP radar, which was confirmed by microphysical evidence from ground-based hydrometeor measurements, suggested the existence of graupel in the footprints with "flagHeavyIcePrecip". In addition, according to the information of the GPM DPR, the "flagHeavyIcePrecip" footprints were characterized by not only graupel but also large snowflakes. According to the information of X-MP radar HC, the "typePrecip" algorithm by the detection of "flagHeavyIcePrecip" was effective in classifying precipitation types of snow clouds, whereas it seems that there is room for improvement in the "typePrecip" algorithms based on the extended-DPRm-method and H-method.
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U2 - 10.2151/SOLA.2020-020
DO - 10.2151/SOLA.2020-020
M3 - Article
AN - SCOPUS:85089399740
SN - 1349-6476
VL - 16
SP - 115
EP - 119
JO - Scientific Online Letters on the Atmosphere
JF - Scientific Online Letters on the Atmosphere
ER -