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Development of Physical-Empirical Models for Seasonal Predictions of Wintertime Climate Variables over East Asia

저자
Dr. Vladimir Kryjov
 
작성일
2016.02.29
조회
133
  • 요약
  • 목차

Results from a study focusing on the development of physical-empirical models for prediction of East Asia wintertime temperature appropriate to APEC Climate Center (APCC) operational practices are presented in this report. The developed statistical tool, which is based on a multiple regression scheme with flexible construction of the predictors, has been proven efficient in the tests simulating real-time forecasts for 30 winters (1983/84–2012/13). The tests have shown the ability of the developed method to construct physically plausible predictors based on the fields of atmospheric and surface variables. Predictions of the wintertime Arctic Oscillation Index with the use of Z500 fields as a basis for predictor construction yield the skill in terms of temporal unadjusted correlation coefficient (TCC) > 0.60 and mean square skill score (MSSS) > 0.35. Prediction for East Asia comprising forecast of the leading principal components of the wintertime temperature anomalies with further composition of the predicted anomaly fields yields prevailing skill for South Korea characterized by TCC = 0.40–0.60 and MSSS = 0.20-0.30. Since the predictability underlying prediction for East Asia with the developed method mainly originates from extratropical processes, it is concluded that improvement can be achieved by combination of forecasts from the developed physical-empirical model with seasonal forecasts from dynamic models that are mainly governed by tropical sea surface temperature anomalies.