|
|
|
Jiayue Gu, Shuguang Liu, Zhengzheng Zhou, Sergey R. Chalov and Qi Zhuang
The prediction of monthly rainfall is greatly beneficial for water resources management and flood control projects. Machine learning (ML) techniques, as an increasingly popular approach, have been applied in diverse climatic regions, showing their respec...
ver más
|
|
|
|
|
|
|
Young-Min Yang, Bin Wang and Juan Li
It has been an outstanding challenge for global climate models to simulate and predict East Asia summer monsoon (EASM) rainfall. This study evaluated the dynamical hindcast skills with the newly developed Nanjing University of Information Science and Tec...
ver más
|
|
|
|
|
|
|
M. Amirul Islam, Andy Chan, Matthew J. Ashfold, Chel Gee Ooi and Majid Azari
The Maritime Continent (MC) is positioned between the Asian and Australian summer monsoons zone. The complex topography and shallow seas around it are major challenges for the climate researchers to model and understand it. It is also the centre of the t...
ver más
|
|
|
|
|
|
|
Huating Xu, Zhiyong Wu, Lifeng Luo and Hai He
Accurate and timely precipitation forecasts are a key factor for improving hydrological forecasts. Therefore, it is fundamental to evaluate the skill of Numerical Weather Prediction (NWP) for precipitation forecasting. In this study, the Global Environme...
ver más
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
Zhiwei Zhu, Shengjie Chen, Kai Yuan, Yini Chen, Song Gao and Zhenfei Hua
The middle and lower reaches of the Yangtze River basin (MLRYB) are prone to flooding because their orientation is parallel to the East Asian summer monsoon rain belt. Since the East Asian summer monsoon presents pronounced intraseasonal variability, the...
ver más
|
|
|
|
|
|
|
Suman Maity, Manabottam Mandal, Sridhara Nayak, Rajeev Bhatla
Pág. 287 - 309
The Indian Summer Monsoon (ISM) is driven by organized large-scale convection; hence, its simulation is expected to depend on an appropriate representation of cumulus convection in the model. In the present study, the performance of different cumulus par...
ver más
|
|
|
|
|
|
|
Panos Panagos, Pasquale Borrelli, Jonathan Spinoni, Cristiano Ballabio, Katrin Meusburger, Santiago Beguería, Andreas Klik, Silas Michaelides, Sa?o Petan, Michaela Hrabalíková, Preben Olsen, Juha Aalto, Mónika Lakatos, Anna Rymszewicz, Alexandru Dumitrescu, Melita Percec Tadic, Nazzareno Diodato, Julia Kostalova, Svetla Rousseva, Kazimierz Banasik, Christine Alewell
Pág. 1 - 18
As a follow up and an advancement of the recently published Rainfall Erosivity Database at European Scale (REDES) and the respective mean annual R-factor map, the monthly aspect of rainfall erosivity has been added to REDES. Rainfall erosivity is crucial...
ver más
|
|
|
|
|
|
|
M. H. GONZÁLEZ,M. L. CARIAGA
This paper analyzes some summer rainfall characteristics in Buenos Aires and developes a seasonal prediction scheme. Buenos Aires is located along the coast of the Río de la Plata in Argentina. The outstanding rainfall feature is the presence of an an...
ver más
|
|
|
|
|
|
|
S. K. ROY BHOWMIK,V. R. DURAY
In the present study, a method is proposed for the ensemble forecasting of rainfall over the Indian monsoon region based on daily outputs of four operational numerical weather prediction (NWP) models in the short-range time scale (up to 48 hours). Th...
ver más
|
|
|
|