Improved Algorithm to Estimate All-Sky Shortwave Net Radiation Based on Top-of-Atmosphere Albedo

IF 4.7 2区地球科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Pub Date : 2025-04-14 DOI:10.1109/JSTARS.2025.3560834

Gaofeng Wang;Tianxing Wang;Wanchun Leng;Pei Yu;Xuewei Yan

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引用次数: 0

Abstract

Shortwave net radiation (SWNR) serves as the vital variable of radiative energy balance and plays a key parameter in global climate, hydrological, and land surface process models. Solar zenith angle (SZA), PWC, DEM, aerosol optical depth (AOD), TOA albedo, and aerosol type are the key factors for estimating SWNR, and it is necessary to fully consider them. In the study, TOA albedo is estimated using MODIS data. An improved scheme is proposed for estimating SWNR by establishing a relationship between TOA albedo and SWNR based on SZA, PWC, DEM, and AOD parameters under different atmospheric conditions. The improved model is assessed using MODTRAN simulation data, ground measurements, and comparative analysis with Wang-2024, Tang-2006, and CERES single scanner footprint (SSF) product. The results demonstrate that the superior theoretical precision of the improved scheme, based on MODTRAN simulation data, significantly outperforms the existing methods, achieving bias and RMSE of less than 1 and 21 W/m², respectively. For rural aerosol, ground-based verification further revealed that the improved algorithm and Wang-2024 deliver superior accuracy for all-sky (bias<4.6 W/m² and RMSE<82 W/m²). Notably, the improved algorithm performed the highest accuracy for urban aerosol type (bias = 1.8 W/m² and RMSE = 69.8 W/m²), effectively resolving the underestimation issue of Wang-2024 and overestimation by Tang-2006 and CERES SSF. In addition, the improved algorithm demonstrates enhanced performance across varying AOD ranges. When AOD exceeds 0.7, the improved algorithm resolves the significant overestimation (25–85 W/m²) of the existing algorithms and CERES SSF. For AOD values below 0.7, the improved algorithm maintains its superior accuracy. Furthermore, the improved algorithm enables more detailed and precise mapping of SWNR with higher spatial resolution. With advancements in theoretical accuracy and broader applicability, the improved algorithm is expected to serve a pivotal role in diverse application scenarios as remote sensing technologies continue to evolve.

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基于大气顶反照率估计全天短波净辐射的改进算法

短波净辐射（SWNR）是辐射能量平衡的重要变量，是全球气候、水文和地表过程模型的关键参数。太阳天顶角（SZA）、PWC、DEM、气溶胶光学深度（AOD）、TOA反照率和气溶胶类型是估算SWNR的关键因素，需要充分考虑。本研究利用MODIS数据估算TOA反照率。基于不同大气条件下SZA、PWC、DEM和AOD参数建立TOA反照率与SWNR的关系，提出了一种估算SWNR的改进方案。利用MODTRAN模拟数据、地面测量数据以及与Wang-2024、Tang-2006和CERES单扫描仪足迹（SSF）产品的对比分析，对改进的模型进行了评估。结果表明，基于MODTRAN仿真数据的改进方案的理论精度显著优于现有方法，偏差和RMSE分别小于1和21 W/m²。对于农村气溶胶，地面验证进一步表明，改进的算法和Wang-2024在全天（偏差<4.6 W/m²，RMSE<82 W/m²）具有优越的精度。值得注意的是，改进后的算法对城市气溶胶类型具有最高的精度（偏差= 1.8 W/m²，RMSE = 69.8 W/m²），有效地解决了Wang-2024的低估问题和Tang-2006和CERES SSF的高估问题。此外，改进后的算法在不同的AOD范围内表现出增强的性能。当AOD大于0.7时，改进算法解决了现有算法和CERES SSF的显著高估（25 ~ 85 W/m²）问题。在AOD小于0.7的情况下，改进算法保持了较高的精度。此外，改进后的算法能够以更高的空间分辨率更详细、更精确地映射SWNR。随着理论精度的提高和适用性的扩大，随着遥感技术的不断发展，改进的算法有望在各种应用场景中发挥关键作用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 地学-成像科学与照相技术

CiteScore

9.30

自引率

10.90%

发文量

563

审稿时长

4.7 months

期刊介绍： The IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing addresses the growing field of applications in Earth observations and remote sensing, and also provides a venue for the rapidly expanding special issues that are being sponsored by the IEEE Geosciences and Remote Sensing Society. The journal draws upon the experience of the highly successful “IEEE Transactions on Geoscience and Remote Sensing” and provide a complementary medium for the wide range of topics in applied earth observations. The ‘Applications’ areas encompasses the societal benefit areas of the Global Earth Observations Systems of Systems (GEOSS) program. Through deliberations over two years, ministers from 50 countries agreed to identify nine areas where Earth observation could positively impact the quality of life and health of their respective countries. Some of these are areas not traditionally addressed in the IEEE context. These include biodiversity, health and climate. Yet it is the skill sets of IEEE members, in areas such as observations, communications, computers, signal processing, standards and ocean engineering, that form the technical underpinnings of GEOSS. Thus, the Journal attracts a broad range of interests that serves both present members in new ways and expands the IEEE visibility into new areas.