首页> 外文期刊>大气科学进展(英文版) >A New Weighting Function for Estimating Microwave Sounding Unit Channel 4 Temperature Trends Simulated by CMIP5 Climate Models
【24h】

A New Weighting Function for Estimating Microwave Sounding Unit Channel 4 Temperature Trends Simulated by CMIP5 Climate Models

机译:估计CMIP5气候模式模拟的微波探测单元通道4温度趋势的新加权函数

获取原文
获取原文并翻译 | 示例
       

摘要

A new static microwave sounding unit (MSU) channel 4 weighting function is obtained from using Coupled Model Inter-comparison Project,Phase 5 (CMIP5) historical multimodel simulations as inputs into the fast Radiative Transfer Model for TOVS (RTTOV vl0).For the same CMIP5 model simulations,it is demonstrated that the computed MSU channel 4 brightness temperature (T4) trends in the lower stratosphere over both the globe and the tropics using the proposed weighting function are equivalent to those calculated by RTTOV,but show more cooling than those computed using the traditional UAH (University of Alabama at Huntsville) or RSS (Remote Sensing Systems in Santa Rosa,California) static weighting functions.The new static weighting function not only reduces the computational cost,but also reveals reasons why trends using a radiative transfer model are different from those using a traditional static weighting function.This study also shows that CMIP5 model simulated T4 trends using the traditional UAH or RSS static weighting functions show less cooling than satellite observations over the globe and the tropics.Although not completely removed,this difference can be reduced using the proposed weighting function to some extent,especially over the tropics.This work aims to explore the reasons for the trend differences and to see to what extent they are related to the inaccurate weighting functions.This would also help distinguish other sources for trend errors and thus better understand the climate change in the lower stratosphere.
机译:通过使用耦合模型相互比较项目第5阶段(CMIP5)的历史多模型仿真作为TOVS的快速辐射传输模型(RTTOV vl0)的输入,获得了新的静态微波探测单元(MSU)通道4加权函数。 CMIP5模型仿真表明,使用建议的加权函数,计算得出的全球和热带平流层下部平流层中MSU通道4的亮度温度(T4)趋势与RTTOV计算的结果相当,但显示的冷却程度要高于计算的结果使用传统的UAH(阿拉巴马大学亨茨维尔分校)或RSS(加利福尼亚州圣罗莎的遥感系统)静态加权函数。新的静态加权函数不仅降低了计算成本,而且揭示了使用辐射传输模型的趋势与传统的静态加权函数不同。这项研究还表明CMIP5模型使用传统方法模拟了T4趋势与全球和热带地区的卫星观测值相比,部分UAH或RSS静态权重函数显示的冷却要少。尽管没有完全消除,但可以使用提议的权重函数在某种程度上减小这种差异,尤其是在热带地区。这项工作旨在探索找出趋势差异的原因,并了解它们与权重函数不准确的程度有关。这也将有助于区分趋势误差的其他来源,从而更好地了解平流层下部的气候变化。

著录项

  • 来源
    《大气科学进展(英文版)》 |2013年第3期|779-789|共11页
  • 作者单位

    College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875;

  • 收录信息 中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-19 03:55:51
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号