Near-term Climate Prediction of Agricultural Thermal Conditions in East Asia
2025 · Advances in Atmospheric Sciences
저자
Jung Ho Choi, Sang‐Yoon Jun, 손석우 (Seok‐Woo Son), Yu‐Kyung Hyun, Jung‐Rim Lee, Johan Lee, Kyung‐On Boo, Bo‐Joung Park
연구주제
Climate variability and models · Remote Sensing in Agriculture
NTIS 과학기술표준분류
에너지/자원만에너지·환경·원자력 확장
지원 과제·AI 키워드로 잡을 근거가 없어 분류하지 않았다.
AI 연구 키워드·방법
agroclimatic index 10년 기후 예측 growing season
키워드 (OpenAlex)
agroclimatic indices growing season frost-free days heat intensity daily maximum temperature East Asia crop production interannual variability
초록
Abstract Climate change poses significant risks to agriculture, particularly in East Asia, a major crop-producing region. This study evaluates the effectiveness of near-term climate predictions in forecasting agricultural thermal conditions in East Asia for up to five years. We compare temperature-based agroclimatic indicators from atmospheric reanalysis data with the first-year prediction of the Decadal Prediction System version 4 (DePreSys4), initialized annually from November 1960 to 2024. Our analysis reveals that first-year predictions accurately represent observed spatial climatological patterns, although trends in agroclimatic indicators based on daily maximum temperature are overestimated. High skill scores are observed in predicting the beginning of the growing season, frost-free days, agricultural hot days, and heat intensity in major cropping regions. However, the end of the g…
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교수 1
연구주제 1
Climate variability and models