Graphical Abstract

Previous Issue

JMSJ, 2021, Vol. 99, No. 1 (February)

Articles: Special Edition on Global Precipitation Measurement (GPM): 5th Anniversary

Aoki and Shige (2021)

Aoki, S., and S. Shige, 2021: Large precipitation gradients along the south coast of Alaska revealed by spaceborne radars. J. Meteor. Soc. Japan, 99,
https://doi.org/10.2151/jmsj.2021-001Graphical Abstract

Plain Language Summary: At high latitudes, discriminating the phase of precipitation, as well as amount, is crucial in grasping the hydrological cycle. This study investigates the horizontal and vertical distribution of precipitation along the south coast of Alaska, using two spaceborne radars: the Dual-frequency Precipitation Radar (DPR) KuPR onboard the Global Precipitation Measurement (GPM) Core Observatory and the Cloud Profiling Radar (CPR) onboard CloudSat. It reveals that the precipitation phase and amount considerably change with the distance from the coastline.

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Suzuki et al. (2021)

Suzuki, K., T. Iwasaki, and T. Yamazaki, 2021: Analysis of systematic error in numerical weather prediction of coastal fronts in Japan’s Kanto Plain. J. Meteor. Soc. Japan, 99,
https://doi.org/10.2151/jmsj.2021-002Graphical Abstract

Plain Language Summary: Coastal fronts tend to be forecast on the inland side of their actual positions by the operational Numerical Weather Prediction (NWP with a horizontal grid spacing of 5 km) model at the Japan Meteorological Agency. This study confirms a systematic NWP error through statistical validations of coastal fronts, and the numerical experiments reveal that the systematic error may be caused primarily by an underestimation of the mountain barrier surrounding the Kanto Plain in the model.

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Articles: Special Edition on Global Precipitation Measurement (GPM): 5th Anniversary

Le and Chandrasekar (2021)

Le, M. and V. Chandrasekar, 2021: Graupel and hail identification algorithm for the Dual-Frequency Precipitation Radar (DPR) on the GPM core satellite. J. Meteor. Soc. Japan, 99,
https://doi.org/10.2151/jmsj.2021-003Graphical Abstract

Plain Language Summary: This paper aims to develop a graupel and hail identification algorithm for GPM DPR. This algorithm is constructed using a precipitation type index (PTI) defined for DPR. The PTI is effective in separating hydrometeor types and is calculated using measurements of reflectivity, dual-frequency ratio, and storm top height data. The output of the algorithm is a Boolean product representing the existence of graupel or hail along with the vertical profile for each Ku- and Ka-band matched footprint. Cross validation is performed with the Weather Service Radar (WSR-88D) network over continental United States as well as during the Remote sensing of Electrification, Lightning, and Mesoscale/Microscale Processes with Adaptive Ground Observations (RELAMPAGO) experiment. Evaluation of this identification algorithm is performed on a global basis, which illustrates promising comparisons with the global lightning and hail precipitation maps generated using radar and radiometer.

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Kusunoki and Mizuta (2021)

Kusunoki, S. and R. Mizuta, 2021: Future changes in rainy season over East Asia projected by massive ensemble simulations with a high-resolution global atmospheric model. J. Meteor. Soc. Japan, 99.
https://doi.org/10.2151/jmsj.2021-005Graphical Abstract

Plain Language Summary: Future changes in the rainy season in East Asia are projected based on massive ensemble simulations of about 100 members with a 60-km mesh global atmospheric model called the “Database for Policy Decision-Making for Future Climate Change (d4PDF)”. Summer precipitation will generally increase in most regions of East Asia, but will decrease over western Japan, where the onset of rainy season will delay and the retreat will occur earlier, resulting in a shorter rainy season.

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Ohigashi et al. (2021)

Ohigashi, T., T. Maesaka, S. Suzuki, Y. Shusse, N. Sakurai, and K. Iwanami, 2021: Clear-air echoes observed by Ka-band polarimetric cloud radar: A case study on insect echoes in the Tokyo metropolitan area, Japan. J. Meteor. Soc. Japan, 99,
https://doi.org/10.2151/jmsj.2021-006Graphical Abstract

Plain Language Summary: The clear-air echoes (CAEs), that appeared on May 21, 2016 in the Tokyo metropolitan area, Japan, were investigated to establish the potential for distinguishing CAEs and hydrometeor echoes in the initial stage of cloud formation using Ka-band polarimetric cloud radar. The polarimetric variables obtained by Ka-band polarimetric cloud radar are useful in distinguishing between clear-air echoes and hydrometeor echoes.

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Articles: Special Edition on Global Precipitation Measurement (GPM): 5th Anniversary

Meneghini et al. (2021)

Meneghini, R., H. Kim, L. Liao, J. Kwiatkowski, and T. Iguchi, 2021: Path attenuation estimates for the GPM Dual-Frequency Precipitation Radar (DPR). J. Meteor. Soc. Japan, 99,
https://doi.org/10.2151/jmsj.2021-010Graphical Abstract

Plain Language Summary: Estimation of the path-integrated attenuation (PIA) is a critical part of retrieving precipitation parameters using measurements from the Dual-Frequency Precipitation Radar (DPR) on board the Global Precipitation Measurement Mission (GPM) satellite. In this paper, we describe and evaluate different techniques used to estimate the PIA using both single- and dual-frequency DPR radar data. The resulting algorithm forms part of the present operational system used to process the DPR data.

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