海洋要素智能预报

ESTIMATION OF DAILY IRRADIATION EXPOSURE OF GLOBAL RADIATION USING ELMAN NEURAL NETWORK featured image

ESTIMATION OF DAILY IRRADIATION EXPOSURE OF GLOBAL RADIATION USING ELMAN NEURAL NETWORK

Using the data of three M eteorological Stations at Fushan, Jiʼnan and Juxian, 2000-2003, the Elman neural network model was established to estimate the daily solar irradiance. The …

Liping Zou
Assessing the Impact of Surface and Wind Profiler Data on Fog Forecasting Using WRF 3DVAR: An OSSE Study on a Dense Fog Event over North China featured image

Assessing the Impact of Surface and Wind Profiler Data on Fog Forecasting Using WRF 3DVAR: An OSSE Study on a Dense Fog Event over North China

Because fog is a high-impact weather phenomenon, there has been increased demand for its accurate prediction. Both surface data and wind profiler data possess great potential for …

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胡慧琴

The Prediction on the 2015/16 El Niño Event from the Perspective of FIO-ESM

Recently atmospheric and oceanic observations indicate the tropical Pacific is at the El Niño condition. However, it’s not clear whether this El Niño event of this year is …

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宋振亚
波致混合对CCSM3气候模式预测能力的改进 (improvement of CCSM3 climate model prediction capability by wave-induced mixing) featured image

波致混合对CCSM3气候模式预测能力的改进 (improvement of CCSM3 climate model prediction capability by wave-induced mixing)

在海气耦合模式CCSM3基础上引入波致混合作用后建立了改进的海气耦合模式, 设计了SST 同化方案, 并进行了2005, 2006和2007年ENSO 的集合后报和2008年气候预测数值试验.结果表明, 改进的海气耦合模式的同化效果优于原来的海气耦合模式CCSM3的同化效果.集合后报与观测资料对比表明:改进的海气耦合模式能够较好地预测当年ENSO事件的发生情 …

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宋振亚