Coupling a Mesoscale Numerical Weather Prediction Model with Large-Eddy Simulation for Realistic Wind Plant Aerodynamics Simulations (Poster) [electronic resource]
	Tác giả:
	Xuất bản: Golden Colo Oak Ridge Tenn: National Renewable Energy Laboratory US Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2014
	Bộ sưu tập: Metadata
	ddc:  621.5  Thêm vào giỏ

Advancements in Wind Integration Study Data Modeling [electronic resource] : The Wind Integration National Dataset (WIND...
	Tác giả:
	Xuất bản: Golden Colo Oak Ridge Tenn: National Renewable Energy Laboratory US Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2013
	Bộ sưu tập: Metadata
	ddc:  333.9  Thêm vào giỏ

Quantifying sensitivity in numerical weather prediction-modeled offshore wind speeds through an ensemble modeling approach [electronic resource]
	Tác giả:
	Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2021
	Bộ sưu tập: Metadata
	ddc:  621.5  Thêm vào giỏ

Simulated wind farm wake sensitivity to configuration choices in the Weather Research and Forecasting model version 3.8.1 [electronic resource]
	Tác giả:
	Xuất bản: Golden Colo Oak Ridge Tenn: National Renewable Energy Laboratory US Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2020
	Bộ sưu tập: Metadata
	ddc:  629.132  Thêm vào giỏ

Turbulent kinetic energy over large offshore wind farms observed and simulated by the mesoscale model WRF (3.8.1) [elect...
	Tác giả:
	Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2020
	Bộ sưu tập: Metadata
	ddc:  381.  Thêm vào giỏ

Investigation of boundary-layer wind predictions during nocturnal low-level jet events using the Weather Research and Forecasting model [electronic resource]
	Tác giả:
	Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2015
	Bộ sưu tập: Metadata
	ddc:  621.531  Thêm vào giỏ

A Statistical Evaluation of WRF-LES Trace Gas Dispersion Using Project Prairie Grass Measurements [electronic resource]
	Tác giả:
	Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2021
	Bộ sưu tập: Metadata
	ddc:  621.5  Thêm vào giỏ

Injury severity analysis of truck-involved crashes under different weather conditions [electronic resource]
	Tác giả:
	Xuất bản: Oak Ridge Tenn Oak Ridge Tenn: Oak Ridge National Laboratory Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2020
	Bộ sưu tập: Metadata
	ddc:  617.1  Thêm vào giỏ

Application of Climatic Data in Hydrologic Models
	Tác giả: Mohammad Valipour, Sayed M Bateni, Sayed M Bateni, Mohammad Valipour
	Xuất bản: Basel: , 2022
	Bộ sưu tập: Tài liệu truy cập mở
	ddc:   Thêm vào giỏ

Artificial Intelligence Techniques in Hydrology and Water Resources Management
	Tác giả: Fi-John Chang, Fi-John Chang, Li-Chiu Chang, Li-Chiu Chang, Jui-Fa Chen, Jui-Fa Chen
	Xuất bản: Basel: MDPI Multidisciplinary Digital Publishing Institute, 2023
	Bộ sưu tập: Tài liệu truy cập mở
	ddc:   Thêm vào giỏ