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干旱区地理 ›› 2023, Vol. 46 ›› Issue (2): 243-252.doi: 10.12118/j.issn.1000-6060.2022.270

• 气候与环境变化 • 上一篇    下一篇

沙尘天气下黑河流域大气长波辐射遥感估算

王子超1(),王春磊2(),马俊俊1   

  1. 1.华北理工大学人工智能学院,河北 唐山 063210
    2.自然资源部咨询研究中心,北京 100100
  • 收稿日期:2022-06-07 修回日期:2022-09-14 出版日期:2023-02-25 发布日期:2023-03-14
  • 通讯作者: 王春磊(1985-),男,博士,副研究员,主要从事国土资源遥感、热红外遥感等方面研究. E-mail: ocean0315@163.com
  • 作者简介:王子超(1998-),男,硕士研究生,主要从事热红外遥感等方面研究. E-mail: 1171714338@qq.com
  • 基金资助:
    国家自然科学基金项目(41801264);河北自然科学基金项目(D202009074)

Estimation of downward surface longwave radiation in Heihe River Basin with remotely sensed data

WANG Zichao1(),WANG Chunlei2(),MA Junjun1   

  1. 1. School of Artificial Intelligence, North China University of Science and Technology, Tangshan 063210, Hebei, China
    2. Consulting & Research Center of Ministry of Natural Resources, Beijing 100100, China
  • Received:2022-06-07 Revised:2022-09-14 Online:2023-02-25 Published:2023-03-14

摘要:

由于沙尘气溶胶散射和吸收机制的复杂性,目前还没有成熟的可应用于沙尘天气的大气长波辐射反演算法。通过对比分析常见的沙尘、城市、乡村、海洋气溶胶对大气长波辐射强迫和MODIS通道辐亮度影响的基础上,提出利用气溶胶光学参数对线性模型进行修正,构建了适用于沙尘气溶胶条件下的大气长波辐射估算模型,并利用黑河流域4个观测站点(花寨子荒漠站、混合林站、黑河遥感站和张掖湿地站)实测数据对模型的应用能力进行检验。结果表明:4个站点遥感反演的大气长波辐射均方误差为17.1~20.4 W·m-2,偏差为-12.3~-1.8 W·m-2。由于考虑了沙尘气溶胶的光学厚度变化和辐射强迫效应,修正后的模型可显著提高沙尘气溶胶影响下大气下行辐射的反演精度,减少长波辐射应用中的不确定性,对干旱区地表能量收支研究提供了重要参考。

关键词: 大气长波辐射, 沙尘气溶胶, 辐射强迫, MODIS, 黑河流域

Abstract:

Downward surface longwave radiation (DSLR) is indispensable for research about surface radiation balance. DSLR is one of the components of the surface radiation budget. Most of the DSLR inversion methods with remotely sensed data are on the conditions of clear sky. This method has a limited application range and their performances can be severely degraded in complex weather conditions as the effects of different aerosol types and levels are rarely considered. However, the arid and semi-arid area in northwest China is a frequent area of sandstorms, especially in spring each year, millions of tons of dust can enter the atmosphere, which not only causes significant damage to human life and production activities but also affects climate and the environment due to the physical and chemical effects of dust aerosol. It is difficult to study the optical properties of dust aerosols at home and abroad. Due to the complex mechanism of aerosol scattering and absorption, there is no mature DSLR algorithm that can be applied to dust sky, and this research is a tentative exploration in this field. For this issue, DSLR and top of the atmosphere (TOA) channel radiances under seven main land cover types are simulated to establish a simulation database. Secondly, the model coefficients are grouped by view zenith angle (VZA), water vapor content (WVC), and aerosol optical depth (AOD) to form a coefficient lookup table. Finally, based on the analysis of the effects of various four aerosol types and levels on atmospheric longwave radiative forcing and MODIS channel radiances, an improvement of the linear model using aerosol optical parameters is proposed to establish a DSLR estimation model constructed to apply to dust aerosol conditions, and four sites in Heihe River Basin, Gansu Province, China were used to verify the application ability of the improved model. Overall, the root mean square error of DSLR between the retrieved value and the site value is from 17.1 W·m-2 to 20.4 W·m-2, and the bias is from -12.3 W·m-2 to -1.8 W·m-2 for the four stations. Due to considering the dust aerosol optical depth and radiative forcing of dust aerosol, the improved model is able to significantly increase the estimating accuracy of DSLR under dust aerosol conditions and can reduce the uncertainty of DSLR in the applications of radiation. From the results, the inversion accuracy of this model can meet the requirements of instantaneous DSLR research and serve as a reference for subsequent research. However, more case studies and comprehensive analysis are needed before the model is used to estimate DSLR in dust sky actually.

Key words: downward surface longwave radiation, dust aerosol, radiation forcing, MODIS, Heihe River Basin