Results 11 to 20 of about 971 (195)
Evaluation of GSMaP Data for Extreme Rain Events and Causing Floods in East Kotawaringin [PDF]
On 12 May 2021, 12 August 2021, 6 September 2021 and 27 June 2022, extreme rain occured with an intensity of 58.85 mm/day, 101.3 mm/day, 124.4 mm/day and 176.8 mm/day respectively in East Kotawaringin.
Nadine Ayasha, Leny Octaviana Bota
doaj +2 more sources
The global satellite mapping of precipitation (GSMaP) project [PDF]
Precipitation is one of the most important parameters on the earth system, and the global distribution of precipitation and its change are essential data for modeling the water cycle, maintaining the ecosystem environment, agricultural production, improvements of the weather forecast precision, flood warning and so on.
Ken'ichi Okamoto +4 more
core +4 more sources
The reliability of satellite precipitation products is important in climatic and hydro-meteorological studies, which is especially true in mountainous regions because of the lack of observations in these areas.
Bikash Nepal +5 more
doaj +2 more sources
Implementation of a Rainfall Normalization Module for GSMaP Microwave Imagers and Sounders
This paper introduces the Method of Microwave Rainfall Normalization (MMN) for the Global Satellite Mapping of Precipitation (GSMaP) algorithm in its latest version (V05, algorithm version 8), released in December 2021. The method aims to mitigate the discrepancy of GSMaP rainfall estimates among passive microwave (PMW) imagers/sounders (MWIs/MWSs) due
Munehisa K. Yamamoto, Takuji Kubota
openaire +4 more sources
Flood inundation simulations based on GSMaP satellite rainfall data in Jakarta, Indonesia [PDF]
Jakarta is the capital of Indonesia and is considered one of the most vulnerable cities to climate-related disasters, including flooding, sea-level rise, and storm surges.
Bambang Adhi Priyambodoho +3 more
doaj +2 more sources
Validation of Daily Rainfall Based on Global Satellite Mapping of Precipitation (GSMAP) Data of Bali and Nusa Tenggara Region [PDF]
Limitations of observation data cause analysis and prediction of precipitation is difficult. One way to overcome such limitations is the use of satellite data such as GSMaP, but satellite data needs to be validated before use. This study aims to validate
Sanjaya Natadiredja +2 more
doaj +2 more sources
Abstract Climate change has caused highly uncertain precipitation regimes and associated hydrometeorological hazards over global drylands. Accurate precipitation measurements are vital for monitoring dryland ecohydrology. Satellite precipitation products (SPPs), including the Integrated Multi‐satellitE Retrievals for GPM (Global Precipitation ...
Diya Das +3 more
wiley +2 more sources
Precipitation Extremes Monitoring Using the Near-Real-Time GSMaP Product [PDF]
A need to monitor precipitation extremes from space is widely recognized, especially for regions where ground-based observations are limited or unavailable. This article 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 ...
Tomoko Tashima +4 more
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The present study comprehensively analyzes error characteristics and performance of the two latest GPM-era satellite precipitation products over eastern China from April 2014 to March 2016.
Shaowei Ning +5 more
doaj +2 more sources
How GPM IMERG and GSMaP advance hydrological applications: A global perspective
As representative satellite precipitation products in the Global Precipitation Measurement (GPM) era, the latest versions of the Integrated Multi-satellitE Retrievals for GPM (IMERG V07) and Global Satellite Mapping of Precipitation (GSMaP V08) have ...
Zhijun Huang +5 more
openaire +2 more sources

