Results 81 to 90 of about 41,404 (254)
Short‐term extreme rainfall can be produced by the variation of low‐level warm moist airflow during mesoscale convective systems (MCSs) approaching another. The cold outflow of the rapidly moving MCS intensifies the warm moist airflow in front, enhancing the convergence and ascending motion in the quasi‐stationary MCS.
Xiaoyu Gao +3 more
wiley +1 more source
The dual graph neural network (dualGNN), trained with a composite loss combining the energy score (ES) and variogram score (VS), consistently outperformed models optimized solely for ES or the continuous ranked probability score in the multivariate setting, as well as empirical copula approaches.
Mária Lakatos
wiley +1 more source
Numerical prediction of solar radiation in South Korea: assessment of WRF-Solar and WRF
This study aims to comparatively evaluate the performance of the Weather Research and Forecasting (WRF) model and the WRF-Solar model for forecasting global horizontal irradiance (GHI), a key factor in photovoltaic (PV) power generation, over South Korea
Ji Won Yoon +3 more
doaj +1 more source
Since ancient times, knowledge of weather conditions has been essential for human survival and for planning activities. In this context, atmospheric forecast models play a key role in weather studies, contributing significantly to understand and predict short- and long-term weather changes. In the field of atmospheric modelling, weather forecast models
Caccamo, Maria Teresa +4 more
openaire +2 more sources
Using hectometric Weather Research and Forecasting simulations, we examine how urban blue spaces mitigate extreme summer heat in northwestern European cities through neighbourhood‐scale cooling mechanisms. Results show horizontal advection dominates cooling by mixing cooler air from waterbodies with warmer urban air, providing ∼50W·m−2$$ \sim 50\kern0 ...
Xuan Chen +5 more
wiley +1 more source
The paper intends to present the development of the extended weather research forecasting data assimilation (WRFDA) system in the framework of the non-hydrostatic mesoscale model core of weather research forecasting system (WRF-NMM), as an imperative aspect of numerical modeling studies.
Sujata Pattanayak, U C Mohanty
openaire +2 more sources
As part of the ongoing efforts to develop next‐generation forecasting systems at the Meteorological Service Singapore, this study presents the setup and evaluation of the SINGV_NG(MPAS) system. Overall, the SINGV_NG(MPAS) system outperforms European Centre for Medium‐Range Weather Forecasts (ECMWF) deterministic forecasts in capturing heavy rainfall ...
I‐Han Chen +7 more
wiley +1 more source
(a) Organized convection: clouds are clustered at the southern edge of the domain, aligning with the warmest SST. Northeasterly winds prevail, facilitating convection confinement to the southern part of the domain. (b) ITCZ breakdown: the clouds are spread throughout the domain.
Alejandro Casallas +2 more
wiley +1 more source
Application of WRF Model for Vehicular Pollution Modelling Using AERMOD
Vehicular pollution is becoming significant in urban areas because of increasing population. This is at ground level, so it gives high population exposure. In this study, Chembur, which is the most polluted area in Mumbai city due to industrial and vehicular sources, is selected for vehicular pollution modeling using AMS/EPA Regulatory Model ...
Awkash Kumar +3 more
openaire +2 more sources
State‐of‐the‐art, convection‐permitting NWP models reproduced the main features of the October 22–23, 2019 heavy precipitation event in Catalonia. However, slight configuration changes yielded varying streamflow responses and statistical performance, highlighting the challenge of simulating these events in Mediterranean medium‐sized basins ...
D. Ramonell +3 more
wiley +1 more source

