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Yuanmou Wang, Baicheng Xia, Yanan Chen, Huan Chen and Jing Xie
Typhoon Saola was the ninth typhoon that generated over the Western North Pacific (WNP) in 2023, and it caused severe storm impacts. However, its complex moving track and heavy intensity made it extremely difficult to forecast; therefore, detailed analys...
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F. Joseph Turk, Ramon Padullés, David D. Morabito, Todd Emmenegger and J. David Neelin
Convective transition statistics serve as diagnostics for the parameterization of convection in climate and weather forecast models by characterizing the dependence of convection on the humidity-temperature environment. The observed strong pickup of prec...
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Shanshan Li, Changbo Jiang, Yuan Ma, Yuannan Long, Ruixuan Wu, Qingxiong Zhu, Donglin Li, Chuannan Li and Zihao Ning
Precipitation data from ground-based observatories in the Dongting Lake basin are often missing, resulting in large errors in surface precipitation data obtained by interpolation, which affects the accuracy of hydro-meteorological studies. Integrated Mul...
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Chengxuan Lu, Jian Ye, Guohua Fang, Xianfeng Huang and Min Yan
Satellite precipitation estimation provides crucial information for those places lacking rainfall observations from ground?based sensors, especially in terrestrial or marine areas with complex climatic or topographic conditions. This is the case over muc...
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Salman Sakib, Dawit Ghebreyesus and Hatim O. Sharif
Tropical Storm Imelda struck the southeast coastal regions of Texas from 17?19 September, 2019, and delivered precipitation above 500 mm over about 6000 km2. The performance of the three IMERG (Early-, Late-, and Final-run) GPM satellite-based precipitat...
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Nazli Turini, Boris Thies, Rütger Rollenbeck, Andreas Fries, Franz Pucha-Cofrep, Johanna Orellana-Alvear, Natalia Horna and Jörg Bendix
Ground based rainfall information is hardly available in most high mountain areas of the world due to the remoteness and complex topography. Thus, proper understanding of spatio-temporal rainfall dynamics still remains a challenge in those areas. Satelli...
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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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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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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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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 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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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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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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Shaonan Zhu, Xiangyuan Wang, Donglai Jiao, Yiding Zhang and Jiaxin Liu
Obtaining precise and detailed precipitation data is crucial for analyzing watershed hydrology, ensuring sustainable water resource management, and monitoring events such as floods and droughts. Due to the complex relationship between precipitation and g...
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Patrick N. Gatlin, Walter A. Petersen, Jason L. Pippitt, Todd A. Berendes, David B. Wolff and Ali Tokay
A unique capability of the Global Precipitation Measurement (GPM) mission is its ability to better estimate the raindrop size distribution (DSD) on a global scale. To validate the GPM DSD retrievals, a network of more than 100 ground-based polarimetric r...
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Min Sun, Aili Liu, Lin Zhao, Chong Wang and Yating Yang
High-resolution precipitation products have been crucial for hydrology, meteorology, and environmental ecosystems over the Tibetan Plateau (TP). However, these products are usually subject to systematic errors, which may vary with time and topographic co...
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Md. Atiqul Islam, Bofu Yu and Nick Cartwright
Temporal variability of rainfall is extreme in the rangelands of northern Australia and occurs at annual, decadal, and even longer timescales. To maintain long-term productivity of the rangelands of northern Australia under highly variable rainfall condi...
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Mengye Chen, Yongjie Huang, Zhi Li, Albert Johan Mamani Larico, Ming Xue, Yang Hong, Xiao-Ming Hu, Hector Mayol Novoa, Elinor Martin, Renee McPherson, Jiaqi Zhang, Shang Gao, Yixin Wen, Andres Vitaliano Perez and Isaac Yanqui Morales
Precipitation estimate is important for earth science studies and applications, and it is one of the most difficult meteorological quantities to estimate accurately. For regions such as Peru, reliable gridded precipitation products are lacking due to com...
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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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