...
首页> 外文期刊>International journal of remote sensing >Estimating clear-sky land surface longwave upwelling radiation from MODIS data using a hybrid method
【24h】

Estimating clear-sky land surface longwave upwelling radiation from MODIS data using a hybrid method

机译:使用混合方法从MODIS数据估算晴空地面长波上升流辐射

获取原文
获取原文并翻译 | 示例
           

摘要

Surface longwave upwelling radiation (LWUP) is one of the four components for calculating the earth's surface radiation budget. Under the general framework of the hybrid method, we developed linear models for estimating the global 1-km instantaneous clear-sky LWUP from the top-of-atmosphere (TOA) radiance of the Moderate Resolution Imaging Spectroradiometer (MODIS) thermal infrared channels 29, 31, and 32. Extensive radiative transfer simulations were conducted to produce a large number of representative samples, from which the linear model was derived. The derived hybrid model was first evaluated using ground measurements collected at 15 sites from two networks (SURFRAD and ASRCOP). According to the validation results, the average bias and root mean square error (RMSE) of -0.55 and 15.76 W m(-2), respectively, were obtained by averaging the mean bias and RMSE for the two networks. Compared to a hybrid method developed by a previous study and the temperature-emissivity method, our linear model had a superior performance.
机译:地表长波上升辐射(LWUP)是计算地球表面辐射预算的四个组成部分之一。在混合方法的一般框架下,我们开发了线性模型,用于从中分辨率成像光谱仪(MODIS)热红外通道的大气(TOA)辐射亮度估算全球1公里瞬时晴空LWUP,29分别参考图31和32。进行了广泛的辐射转移模拟,以产生大量代表性样品,并从中得出线性模型。首先使用从两个网络(SURFRAD和ASRCOP)的15个站点收集的地面测量值评估派生的混合模型。根据验证结果,平均偏差和均方根误差(RMSE)分别为-0.55和15.76 W m(-2),是通过对两个网络的平均偏差和RMSE进行平均得出的。与先前研究开发的混合方法和温度发射率方法相比,我们的线性模型具有优越的性能。

著录项

  • 来源
    《International journal of remote sensing》 |2016年第8期|1747-1761|共15页
  • 作者

    Nie Aixiu; Liu Qiang; Cheng Jie;

  • 作者单位

    Beijing Normal Univ, Coll Global Change & Earth Syst Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China;

    Beijing Normal Univ, Coll Global Change & Earth Syst Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China;

    Beijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
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