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Miyuru B. Gunathilake, M. N. M. Zamri, Tharaka P. Alagiyawanna, Jayanga T. Samarasinghe, Pavithra K. Baddewela, Mukand S. Babel, Manoj K. Jha and Upaka S. Rathnayake
Accurate rainfall estimates are important in many hydrologic activities. Rainfall data are retrieved from rain gauges (RGs), satellites, radars, and re-analysis products. The accuracy of gauge-based gridded precipitation products (GbGPPs) relies on the d...
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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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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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Helani Perera, Nipuna Senaratne, Miyuru B. Gunathilake, Nitin Mutill and Upaka Rathnayake
Satellite Rainfall Products (SRPs) are now in widespread use around the world as a better alternative for scarce observed rain gauge data. Upon proper analysis of the SRPs and observed rainfall data, SRP data can be used in many hydrological applications...
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Surabhi Upadhyay, Priya Silwal, Rajaram Prajapati, Rocky Talchabhadel, Sandesh Shrestha, Sudeep Duwal and Hanik Lakhe
High spatio-temporal resolution and accurate long-term rainfall estimates are critical in sustainable water resource planning and management, assessment of climate variability and extremes, and hydro-meteorology-related water system decisions. The recent...
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Shuai Xiao, Jun Xia and Lei Zou
Against the background of global climate change and anthropogenic stresses, extreme climate events (ECEs) are projected to increase in both frequency and intensity. Precipitation is one of the main climate parameters for ECE analysis. However, accurate p...
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Tze Huey Tam, Muhammad Zulkarnain Abd Rahman, Sobri Harun, Muhammad Nassir Hanapi and Ismaila Usman Kaoje
The advent of satellite rainfall products can provide a solution to the scarcity of observed rainfall data. The present study aims to evaluate the performance of high spatial-temporal resolution satellite rainfall products (SRPs) and rain gauge data in h...
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Qin Jiang, Weiyue Li, Jiahong Wen, Can Qiu, Weiwei Sun, Qilin Fang, Ming Xu and Jianguo Tan
Satellite-based rainfall products have extensive applications in global change studies, but they are known to contain deviations that require comprehensive verification at different scales. In this paper, we evaluated the accuracies of two high-resolutio...
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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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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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Saher Ayyad, Islam S. Al Zayed, Van Tran Thi Ha and Lars Ribbe
Monitoring of crop water consumption, also known as actual evapotranspiration (ETa), is crucial for the prudent use of limited freshwater resources. Remote-sensing-based algorithms have become a popular approach for providing spatio-temporal information ...
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Zhengdong Wang, Peng Guo, Hong Wan, Fuyou Tian and Linjiang Wang
Drought is among the most common natural disasters in North China. In order to monitor the drought of the typically arid areas in North China, this study proposes an innovative multi-source remote sensing drought index called the improved Temperature?Veg...
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Ram L. Ray, Ali Fares, Yiping He, Marouane Temimi
Pág. 1 - 22
The main goal of this study was to evaluate four major remote sensing soil moisture (SM) products over the state of Texas. These remote sensing products are: (i) the Advanced Microwave Scanning Radiometer?Earth Observing System (AMSR-E) (2002?September 2...
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Jae Young Seo and Sang-Il Lee
Estimation of total discharge is necessary to understand the hydrological cycle and to manage water resources efficiently. However, the task is problematic in an area where ground observations are limited. The North Korea region is one example. Here, the...
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Jae Young Seo, Sang-Il Lee
Pág. 1 - 18
Estimation of total discharge is necessary to understand the hydrological cycle and to manage water resources efficiently. However, the task is problematic in an area where ground observations are limited. The North Korea region is one example. Here, the...
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Ruifang Guo and Yuanbo Liu
Rain gauge and satellite-retrieved data have been widely used in basin-scale hydrological applications. While rain gauges provide accurate measurements that are generally unevenly distributed in space, satellites offer spatially regular observations and ...
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Ruifang Guo, Yuanbo Liu
Pág. 1 - 20
Rain gauge and satellite-retrieved data have been widely used in basin-scale hydrological applications. While rain gauges provide accurate measurements that are generally unevenly distributed in space, satellites offer spatially regular observations and ...
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Singaiah Chintalapudi, Hatim O. Sharif and Hongjie Xie
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Singaiah Chintalapudi, Hatim O. Sharif and Hongjie Xie
In this study, seven precipitation products (rain gauges, NEXRAD MPE, PERSIANN 0.25 degree, PERSIANN CCS-3hr, PERSIANN CCS-1hr, TRMM 3B42V7, and CMORPH) were used to force a physically-based distributed hydrologic model. The model was driven by these pro...
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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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