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Mariame Rachdane, El Mahdi El Khalki, Mohamed Elmehdi Saidi, Mohamed Nehmadou, Abdellatif Ahbari and Yves Tramblay
Precipitation is a crucial source of data in hydrological applications for water resources management. However, several regions suffer from limited data from a ground measurement network. Remotely sensed data may provide a viable alternative for these re...
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Kaiyang Wang, Lingrong Kong, Zixin Yang, Prateek Singh, Fangyu Guo, Yunqing Xu, Xiaonan Tang and Jianli Hao
This study explores the quality of data produced by Global Precipitation Measurement (GPM) and the potential of GPM for real-time short-term nowcasting using MATLAB and the Short-Term Ensemble Prediction System (STEPS). Precipitation data obtained by rai...
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Zuhang Wu, Yun Zhang, Lifeng Zhang, Xiaolong Hao, Hengchi Lei and Hepeng Zheng
In this study, we evaluated the performance of rain-retrieval algorithms for the Version 6 Global Precipitation Measurement Dual-frequency Precipitation Radar (GPM DPR) products, against disdrometer observations and improved their retrieval algorithms by...
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Ehtesham Ahmed, Firas Al Janabi, Jin Zhang, Wenyu Yang, Naeem Saddique and Peter Krebs
Water resources planning and management depend on the quality of climatic data, particularly rainfall data, for reliable hydrological modeling. This can be very problematic in transboundary rivers with limited disclosing of data among the riparian countr...
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R. M. Gairola,M. T. Bushair,Raj Kumar
Pág. 33 - 49
The Indian National Satellite System (INSAT) based Multispectral Rainfall Algorithm (IMSRA) operationally provides precipitation estimates using measurements provided by the Kalpana satellite from 2008 onwards and the INSAT-3D from 2014 onwards over Indi...
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Md Abul Ehsan Bhuiyan, Feifei Yang, Nishan Kumar Biswas, Saiful Haque Rahat and Tahneen Jahan Neelam
The Integrated Multisatellite Retrievals for Global Precipitation Measurement (GPM) (IMERG) Level 3 estimates rainfall from passive microwave sensors onboard satellites that are associated with several uncertainty sources such as sensor calibration, retr...
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Zhigang Chu, Yingzhao Ma, Guifu Zhang, Zhenhui Wang, Jing Han, Leilei Kou and Nan Li
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Zhigang Chu, Yingzhao Ma, Guifu Zhang, Zhenhui Wang, Jing Han, Leilei Kou and Nan Li
Reflectivity factor bias caused by radar calibration errors would influence the accuracy of Quantitative Precipitation Estimations (QPE), and further result in spatial discontinuity in Multiple Ground Radars QPE (MGR-QPE) products. Due to sampling differ...
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Shaowei Ning, Jie Wang, Juliang Jin and Hiroshi Ishidaira
The Global Precipitation Mission (GPM) Core Observatory that was launched on 27 February 2014 ushered in a new era for estimating precipitation from satellites. Based on their high spatial?temporal resolution and near global coverage, satellite-based pre...
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Shaowei Ning, Jie Wang, Juliang Jin, Hiroshi Ishidaira
Pág. 1 - 17
The Global Precipitation Mission (GPM) Core Observatory that was launched on 27 February 2014 ushered in a new era for estimating precipitation from satellites. Based on their high spatial?temporal resolution and near global coverage, satellite-based pre...
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Bagus Setiabudi Wiwoho, Ike Sari Astuti, Imam Abdul Gani Alfarizi and Hetty Rahmawati Sucahyo
A total of three different satellite products, CHIRPS, GPM, and PERSIANN, with different spatial resolutions, were examined for their ability to estimate rainfall data at a pixel level, using 30-year-long observations from six locations. Quantitative and...
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Jiaying Zhang, Liao-Fan Lin and Rafael L. Bras
Precipitation estimates from numerical weather prediction (NWP) models are uncertain. The uncertainties can be reduced by integrating precipitation observations into NWP models. This study assimilates Version 04 Integrated Multi-satellite Retrievals for ...
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Pawel Gilewski and Marek Nawalany
Precipitation is one of the essential variables in rainfall-runoff modeling. For hydrological purposes, the most commonly used data sources of precipitation are rain gauges and weather radars. Recently, multi-satellite precipitation estimates have gained...
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Hatim O. Sharif, Muhammad Al-Zahrani, Almoutaz El Hassan
Pág. 1 - 19
A physically-based, distributed-parameter hydrologic model was used to simulate a recent flood event in the city of Hafr Al Batin, Saudi Arabia to gain a better understanding of the runoff generation and spatial distribution of flooding. The city is loca...
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Ahmet Emre Tekeli
Pág. 1 - 16
Estimating flash floods in arid regions is a challenge arising from the limited time preventing mitigation measures from being taken, which results in fatalities and property losses. Here, Tropical Rainfall Measuring Mission (TRMM) Multi Satellite Precip...
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Hatim O. Sharif, Muhammad Al-Zahrani and Almoutaz El Hassan
A physically-based, distributed-parameter hydrologic model was used to simulate a recent flood event in the city of Hafr Al Batin, Saudi Arabia to gain a better understanding of the runoff generation and spatial distribution of flooding. The city is loca...
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Ahmet Emre Tekeli
Estimating flash floods in arid regions is a challenge arising from the limited time preventing mitigation measures from being taken, which results in fatalities and property losses. Here, Tropical Rainfall Measuring Mission (TRMM) Multi Satellite Precip...
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Edivaldo Afonso de Oliveira Serrão,Romero Thiago Sobrinho Wanzeler,Cleber Assis Santos,Layrson de Jesus Menezes Gonçalves,Alines Maria Meiguins de Lima,Edson José Paulino da Rocha
O objetivo deste estudo é analisar estatisticamente o as estimativas de precipitação fornecidas pelo algoritmo IMERG da constelação do Global Precipitation Measurement (GPM) e comparar como as estimativas do algoritmo 3B43 doTropical Rainfall Measuring M...
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Tribeni C. Sharma and Umed S. Panu
Among the various methods for estimating reservoir volumes, the Gould probability matrix (GPM) method has been touted as a powerful method for estimating reservoir volumes. The other methods in vogue are the Behavior analysis (BA) with the latest inducti...
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Grazyna Puto, Iwona Repka and Marta Muszalik
Introduction: Chronic pain in older people is a global health problem not only in terms of a negative subjective feeling, but also as a social and economic factor. Deterioration of functional capacity is one of the main symptoms of chronic pain; therefor...
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