Results 101 to 110 of about 26,393 (255)
ABSTRACT Sørlige Nordsjø II (SNII) is a planned large‐scale offshore wind farm in the Southern Norwegian North Sea near the Danish border, with phased development targeting a total installed capacity of up to 3 GW. For projects of this scale, site assessments are typically performed using computationally efficient analytical models.
Mostafa Bakhoday Paskyabi, Xu Ning
wiley +1 more source
Taking severe typhoon Kalmaegi (2014) as an example, which is chosen due to its good availability of observations from mulitplatforms, the application ability of different wind field models and wave boundary layer model (WBLM) are investigated ...
Wenli Qiao +3 more
doaj +1 more source
WRF-CORDEX module version 1.3 for WRFV3.7.1
This is a Fortran module for the Weather Research and Forecasting atmospheric model (WRF; http://www.mmm.ucar.edu/wrf/users) to produce additional output variables for climate purposes.
Fita, Lluís, Fita, Lluís (5890874)
core +1 more source
Fast and Scalable Air Quality Neural Emulator for High‐Resolution Predictions on Very Large Domains
Abstract This research explores the development and implementation of SIRANet, an advanced deep learning‐based emulator designed for fine‐scale air quality modeling. Leveraging the computational efficiency of neural networks, SIRANet builds upon the established SIRANE atmospheric pollution modeling framework.
Maxime Beauchamp +6 more
wiley +1 more source
The impact of land-use type change on regional climate through alterations in surface-atmosphere interactions, understanding the effects of land use change on regional climate is essential for informing future land use planning and policy decisions ...
Luoting GAO +3 more
doaj +1 more source
To evaluate the dynamical downscaling prediction skill on the averaged precipitation in flood season over Chongqing, using WRF model based on Beijing Climate Center (BCC) second-generation seasonal prediction model system (BCCv2) product, we have ...
Haonan ZHU +5 more
doaj +1 more source
Rapid Joint Downscaling of Multiple Atmospheric Fields to Kilometer Scale With Deep Learning
Abstract Predicting weather and climate hazards typically relies on computationally expensive kilometer‐scale numerical models. This study introduces a U‐Net‐based deep learning framework, the Joint Atmospheric fields Downscaling Network (JADNet), for rapid, joint downscaling of multiple atmospheric variables to kilometer resolution.
Hongxing Cui +6 more
wiley +1 more source
WRF-Hydro-vJA source code and test case
This is the source code of a personal version of the coupled WRF-Hydro model, based on WRF Model Version 4.4 and WRF-Hydro Model Version 5.2.Two readme files are provided:readme_01_about_WRF-Hydro-vJAreadme_02_about_the_TestCaseas well as two directories:
Joel Arnault (10972983)
core +1 more source
WRF-CORDEX module version 1.3 for WRFV4.0
This is a Fortran module for the Weather Research and Forecasting atmospheric model (WRF; http://www.mmm.ucar.edu/wrf/users) to produce additional output variables for climate purposes.
Fita, Lluís, Fita, Lluís (5890874)
core +1 more source
tartanrunner25/WRF_SFIRE_Pole_Creek: WRF v3.4 WRF-SFIRE-CHEM Pole Creek
WRF v3.4 WRF-SFIRE-CHEM release for the Pole Creek fire case ...
herrv +8 more
core +1 more source

