An Evaluation of Temperature-Based Agricultural Indices Over Korea From the High-Resolution WRF Simulation

An Evaluation of Temperature-Based Agricultural Indices Over Korea From the High-Resolution WRF Simulation

This study evaluates the performance of dynamical downscaling of global prediction generated from the NOAA Climate Forecast System (CFSv2) at subseasonal time-scale against dense in-situ observational data in Korea. The Weather Research and Forecasting (WRF) double-nested modeling system customized...

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Bibliographic Details
Main Authors: Eun-Soon Im, Subin Ha, Liying Qiu, Jina Hur, Sera Jo, Kyo-Moon Shim
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Earth Science
Subjects:
dynamical downscaling
NCEP Climate Forecast System
subseasonal prediction
agro-meteorological indices
WRF double-nested modeling system
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2021.656787/full

Internet

https://www.frontiersin.org/articles/10.3389/feart.2021.656787/full

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