Results 11 to 20 of about 2,263,914 (354)
Deep Learning for Improving Numerical Weather Prediction of Heavy Rainfall
The accurate prediction of rainfall, and in particular of the heaviest rainfall events, remains challenging for numerical weather prediction (NWP) models.
P. Hess, N. Boers
semanticscholar +1 more source
Optimization of Probability Density Functions Applicable for Hourly Rainfall
In order to improve the calculation accuracy of the rainfall probability distribution in related applications, this study aimed to select a theoretical function from applicable functions for three classes of the class-conditional probability density ...
Tieyuan Shen, Yiheng Xiang
doaj +1 more source
Higher Probability of Occurrence of Hotter and Shorter Heat Waves Followed by Heavy Rainfall
The consecutive heat wave and heavy rainfall (CHWHR) events, defined as the occurrence of heat waves followed by heavy rainfall, can cause more damages than individual extremes.
Jiewen You, Shuo Wang
semanticscholar +1 more source
Gridded precipitation data with a high spatiotemporal resolution are of great importance for studies in hydrology, meteorology, and agronomy. Observational data from meteorological stations cannot accurately reflect the spatiotemporal distribution and ...
Junmin Zhang +5 more
semanticscholar +1 more source
Exploring the characteristics of uneven temporal and spatial distribution of precipitation in mountain watersheds can provide a reference for regional agricultural development and resource utilization, and contribute to the protection of the ecological ...
Junchao Wang +4 more
doaj +1 more source
Experimental Study on Failure Model of Tailing Dam Overtopping under Heavy Rainfall
Unusual rainfall is the primary cause of the failure of the tailing dams, and overtopping is the most representative model of the tailing dam failure.
Guangjin Wang +10 more
semanticscholar +1 more source
The Fourier–Merlin transform method, multi-scale optical flow method, and Weibull distribution are used to integrate the GRAPES_3 km model and Radar Extrapolation Forecast (REF) both developed independently by China.
Junchao Wang +5 more
doaj +1 more source
Around October 12, 2019, torrential rainfall from Typhoon Hagibis caused large-scale flooding in a large area around the metropole region of Tokyo leading to large-scale destruction including losses of lives, livelihoods, and economic losses of well over
Sihan Li, F. Otto
semanticscholar +1 more source
Droplet size distribution (DSD) is an important parameter reflecting microphysical characteristics of rainfalls, research on vertical structures of DSD is helpful to understand rainfall evolution processes and improve radar quantitative precipitation ...
Lingli ZHOU +4 more
doaj +1 more source
Because of the small disturbance energy of random parameter in the rainstorm convective-allowing ensemble forecast model, a convective-allowing ensemble forecasting test based on WRFv3.9 model was carried out for a heavy rainstorm case in the Yangtze ...
Jie XIONG, Jun LI, Minghuan WANG
doaj +1 more source

