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基于贝叶斯理论的中国近海网格化气象要素概率预报研究

宋毅 宋晓姜 高志一 张志华 李敏

海洋预报2017,Vol.34Issue(3):1-9,9.
海洋预报2017,Vol.34Issue(3):1-9,9.DOI:10.11737/j.issn.1003-0239.2017.03.001

基于贝叶斯理论的中国近海网格化气象要素概率预报研究

Probabilistic forecast of gridding 10 meter wind over China sea based on Bayesian theory

宋毅 1宋晓姜 1高志一 1张志华 1李敏1

作者信息

  • 1. 国家海洋环境预报中心,北京100081
  • 折叠

摘要

Abstract

Based on Bayesian theory,a basic model of the probabilistic forecast was established out of the deterministic forecast of European Centre of Medium-Range Weather Forecast (ECMWF).The probability forecast from March to April 2016 was evaluated by using ERA-Interim.The results show that the probability forecasts of both all wind and strong wind have better forecast values over China sea.This study not only provides a guidance forecast for forecaster and user,but also lays the foundation for building gridding operational forecast system of 10 meter wind over China sea.

关键词

贝叶斯理论/概率预报/网格化/业务预报

Key words

Bayesian theory/probabilistic forecast/gridding/operational forecast

分类

海洋科学

引用本文复制引用

宋毅,宋晓姜,高志一,张志华,李敏..基于贝叶斯理论的中国近海网格化气象要素概率预报研究[J].海洋预报,2017,34(3):1-9,9.

基金项目

国家自然科学基金青年基金(41606033). (41606033)

海洋预报

OA北大核心CSTPCD

1003-0239

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