Preliminary Study of Surface Temperature Cold Bias in COAMPS.

Chin, H. N. S. ; Leach, M. J. ; Suigiyama, G. A. ; Aluzzi, F. J.

Technical Information Center Oak Ridge Tennessee

关键词: Cold bias;    Prediction biases;    Forecast performance;    Physics changes;    Large-scale data;   

RP-ID  :  DE200515013287

学科分类：工程和技术（综合）

美国|英语

来源: National Technical Reports Library

【 摘 要 】

It is well recognized that the model predictability is more or less hampered by the imperfect representations of atmospheric state and model physics. Therefore, it is a common problem for any numerical models to exhibit some sorts of biases in the prediction. In this study, the emphasis is focused on the cold bias of surface temperature forecast in Naval Research Laboratory's three-dimensional mesoscale model, COAMPS (Coupled Ocean/Atmosphere Mesoscale Prediction System). The main objective of this study is to explore the causes of such cold bias, and to further the improvement of the forecast performance in COAMPS. A series of experiments are performed to gauge the sensitivity of the model forecast due to the physics changes and large scale data with various horizontal and vertical resolutions.