高原气象

高原气象 >

2017 , Vol. 36 >Issue 6: 1608 - 1618

DOI: https://doi.org/10.7522/j.issn.1000-0534.2017.00011

论文

利用再分析与探空资料对0℃层高度和地面气温变化特征及其相关性的分析

  • 曹杨 ,
  • 陈洪滨 ,
  • 李军 ,
  • 苏德斌
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  • 中国科学院大气物理研究所中层大气和全球环境探测重点实验室, 北京 100029;中国科学院大学, 北京 100049;南京信息工程大学气象灾害预报预警与评估协同创新中心, 江苏 南京 210044;成都信息工程大学电子工程学院, 四川 成都 610225

收稿日期: 2016-04-12

  网络出版日期: 2017-12-28

基金资助

气象行业专项项目（GYHY201106046）；国家自然科学基金项目（41275039，41375039）；北京市自然科学基金项目（8141002）；国家高技术研究发展计划项目（2014AA06A512）

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Characteristic and Correlation Between Surface Temperature and 0℃ Isotherm Height Derived from ERA-Interim Reanalysis and Radiosonde Data

  • CAO Yang ,
  • CHEN Hongbin ,
  • LI Jun ,
  • SU Debin
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  • Key laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physic, Chinese Academy of Sciences, Beijing 100029, China;University of Chinese Academy of Sciences, Beijing 100049, China;Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, Jiangsu, China;College of Electronic Engineering, Chengdu University of Information Technology, Chengdu 610225, Sichuan, China

Received date: 2016-04-12

  Online published: 2017-12-28

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摘要

利用北京多年ERA-Interim再分析资料和探空观测资料分析地面气温及0℃层高度特征，对比再分析资料和探空资料的差异，并利用北京和寿县资料分析0℃层高度与地面气温的相关性，拟合0℃层高度与地面气温的线性关系，另外，利用未参与公式拟合的观测资料进行验证。结果表明：地面气温与0℃层高度存在明显季节变化；与探空观测值相比，无论是全年还是分季节，再分析资料的地面气温和0℃层高度值都偏低，地面气温平均偏低2℃，0℃层高度平均偏低200 m；再分析与探空资料的相关性较好，相关系数都大于0.89；地面气温与0℃层高度的变化趋势一致，再分析资料和观测资料地面气温与0℃层高度的相关系数均大于0.9，20：00大于08：00（北京时），都通过了0.01的显著水平统计检验，且观测资料获得的线性关系优于再分析资料；线性拟合得到的地面气温与0℃层高度的线性关系，可为天气雷达判别0℃层和预报降水等应用提供辅助信息。

关键词： ERA-Interim再分析资; 探空观测资料; 0℃层高度; 地面气温; 相关性分析

本文引用格式

曹杨 , 陈洪滨 , 李军 , 苏德斌 . 利用再分析与探空资料对0℃层高度和地面气温变化特征及其相关性的分析[J]. 高原气象, 2017 , 36(6) : 1608 -1618 . DOI: 10.7522/j.issn.1000-0534.2017.00011

Abstract

In this study, The correlation coefficient (R), bias (Bias), and mean absolute deviation (Mad) were calculated between the surface temperature and 0℃ isotherm height by using the ERA-Interim reanalysis data and station observation data of Beijing. The correlation of surface temperature and 0℃ isotherm height was analyzed. The fitting linear relationship of surface temperature and 0℃ isotherm height was obtained, and the usefulness of the relationship also was proved by using other set of observation data. The results indicate that there is a good correlation between ERA-Interim reanalysis data and site observation data for both surface temperature and 0℃ isotherm height in four seasons and 10 years studied with R larger than 0.89; R values for the surface temperature and 0℃ isotherm height from the reanalysis data are little lower than those from the site observation data and the bias are mostly less than 2℃ and 200 m. The surface temperature and 0℃ isotherm height exhibit the similar characteristics of seasonal variation with R larger than 0.8, both from the reanalysis data and observation data, and R at 20:00 (Beijing time) is slightly larger than that at 08:00, which all have passed the statistically significant level at 0.01. the correlation coefficient R between the calculated and observed 0℃ isotherm height is very high with the acceptably small Bias, and Mad. So, 0℃ isotherm height calculated with the relationship between the surface temperature and 0℃ isotherm height can be applied to other practical use.

Key words： ERA-Interim reanalys; observation data; surface temperature; 0℃ isotherm height; correlation analysis

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