Results 1 to 10 of about 830 (198)

Towards Improved Satellite Data Utilization in China: Insights from an Integrated Evaluation of GSMaP-GNRT6 in Rainfall Patterns

open access: yesRemote Sensing
To improve the utilization of satellite-based data and promote their development, this analysis comprehensively evaluates the performance of GSMaP Near-real-time Gauge-adjusted Rainfall Product version 6 (GSMaP_GNRT6) data in depicting precipitation over
Zunya Wang, Qingquan Li, Li Qingquan
exaly   +4 more sources

Evaluation of GSMaP Data for Extreme Rain Events and Causing Floods in East Kotawaringin

open access: yesJurnal Geografi, 2023
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   +3 more sources

The global satellite mapping of precipitation (GSMaP) project [PDF]

open access: yesProceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05., 2005
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

Implementation of a Rainfall Normalization Module for GSMaP Microwave Imagers and Sounders

open access: yesRemote Sensing, 2022
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   +3 more sources

RAINFALL PREDICTION IN JEMBER REGENCY WITH ADAPTIVE NEURO FUZZY INFERENCE SYSTEM BASED ON GSMaP SATELLITE DATA

open access: yesBarekeng, 2023
Rainfall is very influential in daily life, including in agriculture. According to the Jember Regency Government, the majority of the economic activities of the Jember people come from the agricultural sector.
Abduh Riski   +2 more
doaj   +3 more sources

Verification of GSMaP Rainfall Estimates over the Central Himalayas

open access: yesJournal of Japan Society of Civil Engineers Ser B1 (Hydraulic Engineering), 2011
This paper verifies satellite-based rainfall data GSMaP_MVK+ with gauge observed rainfall over the Nepal Himalayas. Assessment of the accuracy is done at two levels, firstly for the whole country and secondly for physiographic regions. Verification of daily rainfall at a country level shows that the GSMaP_MVK+ captures the spatial distribution of ...
Takuji Kubota
exaly   +3 more sources

Geographical and seasonal characteristics of APHRODITE and GSMaP in Lao P.D.R [PDF]

open access: yesIOP Conference Series: Earth and Environmental Science, 2021
Abstract Water-related hazards account for 90 percent of all-natural hazards, and their frequency is generally rising, in association with climate change. To combat climate change, real-time and gridded precipitation data is important, especially where no ground observation is operated.
H Kawai, M K Zaki, K Noda
openaire   +1 more source

Comparative evaluation of GPM near-real-time precipitation products during the 20 July 2021 extreme rainfall event in Henan Province

open access: yesShui kexue jinzhan, 2022
Near-real-time satellite precipitation retrievals have the advantages of wide coverage, spatial continuity, short latency and open access, serving as an important precipitation data source that is globally available. For the 20 July 2021 extreme rainfall
Qingfang HU   +6 more
doaj   +1 more source

Evaluation of GPM-Era Satellite Precipitation Products on the Southern Slopes of the Central Himalayas Against Rain Gauge Data

open access: yesRemote Sensing, 2020
The Global Precipitation Measurement (GPM) mission provides high-resolution precipitation estimates globally. However, their accuracy needs to be accessed for algorithm enhancement and hydro-meteorological applications.
Shankar Sharma   +7 more
doaj   +1 more source

Evaluation of Gridded Precipitation Datasets in Malaysia

open access: yesRemote Sensing, 2020
This study compares five readily available gridded precipitation satellite products namely: Climate Hazards Group Infrared Precipitation with Station Data (CHIRPS) at 0.05° and 0.25° resolution, Tropical Rainfall Measuring Mission Multi ...
Afiqah Bahirah Ayoub   +4 more
doaj   +1 more source

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