The Status and Prospect of Seasonal Climate Prediction of Climate Over Korea and East Asia: A Review

• Published in: Asia-Pacific Journal of Atmospheric Sciences
• Main Authors: Jeong, Jee-Hoon, Lee, Hyunsoo, Yoo, Jin Ho, Kwon, Minho, Yeh, Sang-Wook, Kug, Jong-Seong, Lee, Jun-Yi, Kim, Baek-Min, Son, SW, Min, Seung-Ki, Lee, Hansu, Lee, Woo-Seop, Yoon, Jin-Ho, Kim, Hyun-Kyung
• Format: Article in Journal/Newspaper
• Language: English
• Published: KOREAN METEOROLOGICAL SOC 2017
• Subjects: ARCTIC SEA-ICE; TO-INTERANNUAL PREDICTION; SUMMER MONSOON; MULTIMODEL ENSEMBLE; SOIL-MOISTURE; NORTHERN-HEMISPHERE; EL-NINO; LAND-SURFACE; HEAT WAVES; WINTER MONSOON; Seasonal climate prediction; climate variability; global climate model; Korea and East Asia; Arctic; Sea ice
• Online Access: https://oasis.postech.ac.kr/handle/2014.oak/50115; https://doi.org/10.1007/s13143-017-0008-5

Over the last few decades, there have been startling advances in our understanding of climate system and in modelling techniques. However, the skill of seasonal climate prediction is still not enough to meet the various needs from industrial and public sectors. Therefore, there are tremendous on-going efforts to improve the skill of climate prediction in the seasonal to interannual time scales. Since seasonal to interannual climate variabilities in Korea and East Asia are influenced by many internal and external factors including East Asian monsoon, tropical ocean variability, and other atmospheric low-frequency variabilities, comprehensive understanding of these factors are essential for skillful seasonal climate prediction for Korea and East Asia. Also, there are newly suggested external factors providing additional prediction skill like soil moisture, snow, Arctic sea ice, and stratospheric variability, and techniques to realize skills from underlying potential predictability. In this review paper, we describe current status of seasonal climate prediction and future prospect for improving climate prediction over Korea and East Asia. 1 1 6 scie scopus kci