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http://dx.doi.org/10.5532/KJAFM.2020.22.4.312

Temperature and Solar Radiation Prediction Performance of High-resolution KMAPP Model in Agricultural Areas: Clear Sky Case Studies in Cheorwon and Jeonbuk Province  

Shin, Seoleun (National Center for AgroMeteorology)
Lee, Seung-Jae (National Center for AgroMeteorology)
Noh, Ilseok (National Center for AgroMeteorology)
Kim, Soo-Hyun (National Center for AgroMeteorology)
So, Yun-Young (National Center for AgroMeteorology)
Lee, Seoyeon (National Center for AgroMeteorology)
Min, Byung Hoon (National Institute of Meteorological Sciences)
Kim, Kyu Rang (National Institute of Meteorological Sciences)
Publication Information
Korean Journal of Agricultural and Forest Meteorology / v.22, no.4, 2020 , pp. 312-326 More about this Journal
Abstract
Generation of weather forecasts at 100 m resolution through a statistical downscaling process was implemented by Korea Meteorological Administration Post- Processing (KMAPP) system. The KMAPP data started to be used in various industries such as hydrologic, agricultural, and renewable energy, sports, etc. Cheorwon area and Jeonbuk area have horizontal planes in a relatively wide range in Korea, where there are many complex mountainous areas. Cheorwon, which has a large number of in-situ and remotely sensed phenological data over large-scale rice paddy cultivation areas, is considered as an appropriate area for verifying KMAPP prediction performance in agricultural areas. In this study, the performance of predicting KMAPP temperature changes according to ecological changes in agricultural areas in Cheorwon was compared and verified using KMA and National Center for AgroMeteorology (NCAM) observations. Also, during the heat wave in Jeonbuk Province, solar radiation forecast was verified using Automated Synoptic Observing System (ASOS) data to review the usefulness of KMAPP forecast data as input data for application models such as livestock heat stress models. Although there is a limit to the need for more cases to be collected and selected, the improvement in post-harvest temperature forecasting performance in agricultural areas over ordinary residential areas has led to indirect guesses of the biophysical and phenological effects on forecasting accuracy. In the case of solar radiation prediction, it is expected that KMAPP data will be used in the application model as detailed regional forecast data, as it tends to be consistent with observed values, although errors are inevitable due to human activity in agricultural land and data unit conversion.
Keywords
KMAPP; Rice paddy; LAI; Heat wave;
Citations & Related Records
Times Cited By KSCI : 8  (Citation Analysis)
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