Global Satellite Mapping of Precipitation (GSMaP) Products in the GPM Era

Kubota, Takuji; Aonashi, Kazumasa; Ushio, Tomoo; Shige, Shoichi; Takayabu, Yukari N.; Kachi, Misako; Arai, Y.; Tashima, Tomoko; Masaki, Takeshi; Kawamoto, Nozomi; Mega, Tomoaki; Yamamoto, Munehisa K.; Hamada, Atsushi; Yamaji, Moeka; Liu, Guosheng; Oki, Riko

doi:10.1007/978-3-030-24568-9_20

Cited by 193 publications

(142 citation statements)

References 49 publications

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“…In this paper, we focus on the results of near-real-time GSMaP products used in the SEMDP, and the usefulness for extreme precipitation monitoring is investigated in the East Asia and Western Pacific region-one of the world's most disaster-prone regions. As shown in [5], an evident trade-off is found between latencies and accuracies. In shorter latencies, accuracies are decreased due to the significant limitations MO3.R7.1 regarding the collections of satellite data and rain gauge data, as well as computationally efficiencies.…”

Section: Introductionmentioning

confidence: 89%

“…The GSMaP data are hourly precipitation products blended with satellite-borne passive microwave radiometers and infrared radiometers, and the horizontal resolution is 0.1degree lat/lon grid. The data are mainly comprised of "standard product," "near-real-time product," "real-time product," and "reanalysis product," along with a classification of the latency [5]. In this study, the GSMaP Near-real-time Gauge-adjusted Rainfall Product version 6 (GNRT6) is used for extremes monitoring, because shorter latency and higher accuracy are required.…”

Section: A Gsmapmentioning

confidence: 99%

“…In this study, the GSMaP Near-real-time Gauge-adjusted Rainfall Product version 6 (GNRT6) is used for extremes monitoring, because shorter latency and higher accuracy are required. GNRT6 is the gauge-adjusted precipitation, provided within four hours after observation and updated at one-hour intervals, and its accuracy is clearly higher than that of the realtime product [5]. GNRT6 adjusts GSMaP Near-real-time Product version 6 (NRT6) using a system model with parameters calculated from data obtained during the past 30 days.…”

Section: A Gsmapmentioning

confidence: 99%

“…However, it is noted that a correlation coefficient in DJF is the lowest among all seasons. DJF is winter in the northern hemisphere and GSMaP is characterized by poor accuracy of precipitation estimates during winter as shown in [5] and [9]. This is related to the false rainfall caused by surface snow as shown in [9] and needs to be improved in the future.…”

Section: Evaluation Of Gsmap Productsmentioning

confidence: 99%

“…The GPM mission consists of the GPM Core Observatory jointly developed by the National Aeronautics and Space Administration (NASA) and the Japan Aerospace Exploration Agency (JAXA), and constellation satellites that carry microwave radiometers provided by the GPM partner agencies. In the GPM mission, JAXA has developed the Global Satellite Mapping of Precipitation (GSMaP), in order to distribute hourly and 0.1-degree horizontal resolution global precipitation maps [5]. JAXA participates in the SWCEM by providing the GSMaP product to the WMO, regional climate centres, and National Meteorological and Hydrological Services.…”

Section: Introductionmentioning

confidence: 99%

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Precipitation Extremes Monitoring Using the Near-Real-Time GSMaP Product

Tashima

Kubota

Mega

et al. 2020

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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A need to monitor precipitation extremes from space is widely recognized, especially for regions where ground-based observations are limited or unavailable. This paper examines the usefulness of precipitation extremes monitoring using the Global Satellite Mapping of Precipitation (GSMaP) near-real-time product in the East Asia and Western Pacific region-one of the world's most disaster-prone regions. With case studies and statistical analysis, heavy rainfall and drought detected using the GSMaP Near-real-time Gauge-adjusted Rainfall Product (GNRT6) were validated. Heavy rainfall for daily and weekly precipitation and short-term drought from one month up to three months were defined by a 90th percentile threshold or more and the Standardized Precipitation Index over periods from April 2000 to March 2019, respectively. The results of analyses suggested that the detectability varied depending on the region, such as good detection in dry areas and poor detection in rainy island nations. While the accuracy of GNRT6 is confirmed as being generally better than that of the satellite-only uncorrected product, low detectability can be caused by coarse resolutions of parameters used in the gauge-adjustment technique of the GNRT6 and is regarded as a future task.

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Section: Introductionmentioning

confidence: 89%

Section: A Gsmapmentioning

confidence: 99%

Section: A Gsmapmentioning

confidence: 99%

Section: Evaluation Of Gsmap Productsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Precipitation Extremes Monitoring Using the Near-Real-Time GSMaP Product

Tashima

Kubota

Mega

et al. 2020

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Potential impact of Aeroclipper observations targeting tropical cyclone in the Western Pacific

Hattori,

Bellenger,

Duvel

et al. 2024

Atmospheric Science Letters

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The Aeroclipper is a new balloon device that can be attracted and captured by tropical cyclones (TC) and perform continuous in situ measurements at the air–sea interfaces. To estimate the potential effect of Aeroclipper observations on the analysis of TCs, virtual Aeroclipper observations targeting TC Haima (October 2016) were synthesized using an idealized surface pressure distribution and best track data and were assimilated using an ensemble data assimilation system. Results show that the assimilation of Aeroclipper measurements may provide a more accurate representation of the TC pressure, wind, and temperature in analyses. This also leads to improved precipitation around the Philippines. The ensemble spread shows that the Aeroclipper measurement assimilation has an impact on the analyses that extends into the tropics from the early stages of TC development. These impact signals propagate westward with easterly waves and eastward with large‐scale convective disturbances. Although the underlying mechanisms need to be further examined and tested using real Aeroclipper measurements, the present study shows that these balloons could provide valuable observations to improve the precision of analyses in presence of a TC. This is a first step toward a study of the impact of the Aeroclipper measurement on TC forecast.

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Long-Term High-Resolution Gauge Adjusted Satellite Rainfall Product over India

Kumar

Varma

Kubota

et al. 2022

Preprint

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This study aims to create a 21-year, high spatiotemporal resolution Global Satellite Mapping of Precipitation (GSMaP) rainfall product adjusted by rain gauge measurements over the Indian mainland. The targeted resolutions of the GSMaP are hourly and 0.1°× 0.1°. The National Oceanic and Atmospheric Administration (NOAA) Climate Prediction Center (CPC) daily gauge analysis (0.5°× 0.5°) and Indian Meteorological Department (IMD) daily gridded rainfall product (0.25°× 0.25°) were utilized to generate two long-term rainfall products, GSMaP CPC and GSMaP IMD rainfall, respectively. After preliminary verification of the GSMaP CPC and GSMaP IMD rainfalls with IMD gauges, these rainfall products are evaluated for the Indian Summer Monsoon (ISM) periods of 2000-2020 with comparisons of other merged rainfall products such as the Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG). The results suggest GSMaP IMD has a smaller root-mean-square difference (RMSD) and higher correlation than GSMaP CPC, evaluated against independent rainfall products. In the threehour mean analysis with spaceborne precipitation radar data, it is found that the value of RMSD decreases in GSMaP IMD with respect to GSMaP CPC throughout the day. The statistics against the hourly dense rain gauge network in Karnataka suggests that the GSMaP IMD is more effective in capturing large spatiotemporal rainfall variation over India. Thus, validation results with the independent sources suggest that GSMaP IMD rainfall generally improved over GSMaP CPC rainfall. These improvements are significant in orographic regions with high rainfall amounts, mainly the western Ghats and northeastern parts of India.

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Global Satellite Mapping of Precipitation (GSMaP) Products in the GPM Era

Cited by 193 publications

References 49 publications

Precipitation Extremes Monitoring Using the Near-Real-Time GSMaP Product

Precipitation Extremes Monitoring Using the Near-Real-Time GSMaP Product

Potential impact of Aeroclipper observations targeting tropical cyclone in the Western Pacific

Long-Term High-Resolution Gauge Adjusted Satellite Rainfall Product over India

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