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Atmosphere
Special Issues
Recent Advance in Energy Budget and Earth-Atmosphere Coupling
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Recent Advance in Energy Budget and Earth-Atmosphere Coupling

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Atmospheric Techniques, Instruments, and Modeling".

Deadline for manuscript submissions: closed (15 January 2023) | Viewed by 7862

Special Issue Editors

Dr. Hongmin Zhou

E-Mail Website
Guest Editor
Faculty of Geographical Science, Beijing Normal University, Beijing, China
Interests: land surface albedo retrieval algorithm; data validation; time series analysis; scale issue.
Prof. Dr. Tao He

E-Mail Website
Guest Editor
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
Interests: atmospheric physics; precipitation; climate modeling; climate variability; fluorescence; nanomaterials; optics and lasers; material characterization; air quality; environment
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Xiaodan Wu

E-Mail Website
Guest Editor
College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, Beijing
Interests: surface albedo; validation; scale effects; uncertainty analysis
Prof. Dr. Ying Qu

E-Mail Website
Guest Editor
School of Geographical Sciences, Northeast Normal University, Changchun, China
Interests: land surface albedo; leaf area index; land cover change; quantitative remote sensing; global climate change
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Land surface albedo is an a key parameter that affects surface–air interactions and controls the surface radiation energy budget. It plays an important role in land surface processes and climate simulations. Accurate land surface albedo data was essential for global and regional monitoring, in which both high spatial and temporal albedo data was needed. Albedo products generated from satellite data, including MODIS, MERIS, VIIRS, POLDER, CERES, Meteosat, and MSG, are widely used in the scientific community. However, algorithms for generating high accuracy land surface albedo data from newly launched satellites are still an urgent requirement.

Land surface can be measured with an albedometer in field scale, and estimated with multiple sources of optical remote sensing data, including field observation, unmanned aerial vehicles (UAV), and satellite sensors. Albedo retrieval algorithm differs from sensor to sensor. Research related to land surface albedo includes, but is not limited to, data acquisition, land surface bidirectional reflectance distribution function (BRDF) modeling, validation, time series analysis, and data application in short/long term and on a global/regional scale.

The aim of this Special Issue is to present latest research of land surface albedo estimation algorithms, product validation strategies, and scale issue in data acquisition and assessment, applying land surface albedo in addressing urban, climate, environmental, and social challenges. The Special Issue also encourages related studies that contribute to the land surface energy budget.

Dr. Hongmin Zhou
Prof. Dr. Tao He
Prof. Dr. Xiaodan Wu
Dr. Ying Qu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Atmosphere is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • energy budget
  • earth-atmosphere coupling
  • land surface albedo
  • carbon cycle
  • bidirectional reflectance distribution function (BRDF)
  • remote sensing retrieval algorithm
  • field observation
  • ground truth generation
  • data acquisition technology
  • validation strategy
  • land use/land cover change
  • urbanization
  • climate change
  • high spatiotemporal resolution land surface parameter estimation
  • time series analysis
  • deep learning/machine learning
  • spatiotemporal variation patterns

Published Papers (5 papers)

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Research

17 pages, 27859 KiB  
Article
Simulation Study of the Lunar Spectral Irradiances and the Earth-Based Moon Observation Geometry
by Yi Lian, Qianqian Renyang, Tianqi Tang, Hu Zhang, Jinsong Ping, Zhiguo Meng, Wenxiao Li and Huichun Gao
Atmosphere 2023, 14(8), 1212; https://doi.org/10.3390/atmos14081212 - 27 Jul 2023
Viewed by 1251
Abstract
As a radiant light source within the dynamic range of most spacecraft payloads, the Moon provides an excellent reference for on-orbit radiometric calibration. This research hinges on the precise simulation of lunar spectral irradiances and Earth-based Moon observation geometry. The paper leverages the [...] Read more.
As a radiant light source within the dynamic range of most spacecraft payloads, the Moon provides an excellent reference for on-orbit radiometric calibration. This research hinges on the precise simulation of lunar spectral irradiances and Earth-based Moon observation geometry. The paper leverages the Hapke model to simulate the temporal changes in lunar spectral irradiances, utilizing datasets obtained from the Lunar Reconnaissance Orbiter Camera (LROC). The research also details the transformation process from the lunar geographic coordinate system to the instantaneous projection coordinate system, thereby delineating the necessary observational geometry. The insights offered by this study have the potential to enhance future in-orbit spacecraft calibration procedures, thereby boosting the fidelity of data gathered from satellite observations. Full article
(This article belongs to the Special Issue Recent Advance in Energy Budget and Earth-Atmosphere Coupling)
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23 pages, 7515 KiB  
Article
Investigation of Spatiotemporal Variation and Drivers of Aerosol Optical Depth in China from 2010 to 2020
by Yiting Wang, Lixiang Yang, Donghui Xie, Yuhao Hu, Di Cao, Haiyang Huang and Dan Zhao
Atmosphere 2023, 14(3), 477; https://doi.org/10.3390/atmos14030477 - 28 Feb 2023
Cited by 2 | Viewed by 1504
Abstract
China has experienced rapid economic growth and serious control of aerosol emissions in the past decade. Thus, the spatiotemporal variations and driving factors of aerosol optical depth (AOD) are urgently needed to evaluate the effectiveness of aerosol control activities. The innovation of this [...] Read more.
China has experienced rapid economic growth and serious control of aerosol emissions in the past decade. Thus, the spatiotemporal variations and driving factors of aerosol optical depth (AOD) are urgently needed to evaluate the effectiveness of aerosol control activities. The innovation of this study is a detailed spatial and temporal analysis of aerosol pollution in eight major regions of China from 2010 to 2020 using the MERRA-2 AOD reanalysis product and the driving mechanism based on the Granger causality test, sensitivity, and contribution analysis. The results show that the spatial distribution of AOD varied across the areas. Divided by the Hu Line, the AOD values of the Eastern areas were significantly higher than those of the Western areas. The temporal trend in the last eleven years was dominated by a continuous decline and moderate fluctuations at both annual and seasonal scales. The relationship between socioeconomic factors and AOD drivers was more significant in economically developed regions, suggesting that China pays more attention to haze control while developing its economy. The driving relationship between AOD and temperature was weak, while wind speed and relative humidity were more influential. For vegetation factors, Granger effects were mainly observed in the Northeast, Beijing-Tianjin-Hebei, Guangdong, Central China, and Southwest regions. In the Guangdong and Southwest regions, vegetation and economic factors were the more influential drivers. This study provides a scientific basis for the detection of aerosol changes, driving mechanisms and pollution management in China. Full article
(This article belongs to the Special Issue Recent Advance in Energy Budget and Earth-Atmosphere Coupling)
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16 pages, 4007 KiB  
Article
Spatial-Temporal Variation of AOD Based on MAIAC AOD in East Asia from 2011 to 2020
by Ping Wang, Qingxin Tang, Yuxin Zhu, Yaqian He, Quanzhou Yu, Tianquan Liang and Ke Zheng
Atmosphere 2022, 13(12), 1983; https://doi.org/10.3390/atmos13121983 - 27 Nov 2022
Cited by 2 | Viewed by 1477
Abstract
In recent years, atmospheric aerosol pollution has seriously affected the ecological environment and human health. Understanding the spatial and temporal variation of AOD is essential to revealing the impact of aerosols on the environment. Based on the MAIAC AOD 1 km product from [...] Read more.
In recent years, atmospheric aerosol pollution has seriously affected the ecological environment and human health. Understanding the spatial and temporal variation of AOD is essential to revealing the impact of aerosols on the environment. Based on the MAIAC AOD 1 km product from 2011 to 2020, we analyzed AOD’s distribution patterns and trends in different time series across East Asia. The results showed that: (1) The annual average AOD in East Asia varied between 0.203 and 0.246, with a decrease of 14.029%. The areas with high AOD values were mainly located in the North China Plain area, the Sichuan Basin area, and the Ganges Delta area, with 0.497, 0.514, and 0.527, respectively. Low AOD values were mainly found in the Tibetan Plateau and in mountainous areas north of 40° N, with 0.061 in the Tibetan Plateau area. (2) The distribution of AOD showed a logarithmic decreasing trend with increasing altitude. Meanwhile, the lower the altitude, the faster the rate of AOD changes with altitude. (3) The AOD of East Asia showed different variations in characteristics in different seasons. The maximum, minimum, and mean values of AOD in spring and summer were much higher than those in autumn and winter. The monthly average AOD reached a maximum of 0.326 in March and a minimum of 0.190 in November. The AOD showed a continuous downward trend from March to September. The highest quarterly AOD values in the North China Plain occurred in summer, while the highest quarterly AOD values in the Sichuan Basin, the Ganges Delta, and the Tibetan Plateau all occurred in spring, similar to the overall seasonal variation in East Asia. Full article
(This article belongs to the Special Issue Recent Advance in Energy Budget and Earth-Atmosphere Coupling)
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20 pages, 5421 KiB  
Article
Land Surface Albedo Estimation and Cross Validation Based on GF-1 WFV Data
by Zhe Wang, Hongmin Zhou, Wu Ma, Wenrui Fan and Jindi Wang
Atmosphere 2022, 13(10), 1651; https://doi.org/10.3390/atmos13101651 - 10 Oct 2022
Cited by 3 | Viewed by 1583
Abstract
The land surface albedo (LSA) represents the ability of the land surface to reflect solar radiation. It is one of the driving factors in the energy balance of land surface radiation and in land–air interactions. In this paper, we estimated the land surface [...] Read more.
The land surface albedo (LSA) represents the ability of the land surface to reflect solar radiation. It is one of the driving factors in the energy balance of land surface radiation and in land–air interactions. In this paper, we estimated the land surface albedo based on GF-1 WFV satellite data that have a high spatial and temporal resolution and cross-validated the albedo estimation results. The albedo estimations and validations were performed in the Ganzhou District, Zhangye City, China, and the Sindh Province, Pakistan. We used the direct estimation method which used a radiative transfer simulation to establish the relationship between the narrow band top of the atmosphere bidirectional reflectance and the land broadband albedo to estimate the albedo data. The results were validated with ground data, Landsat data, MODIS products, and GLASS products. The results show that the method can produce highly accurate albedo estimation results on different land cover types (RMSE: 0.026, R2: 0.835) and has a good consistency with the existing albedo products. This study makes a significant contribution to improving the utilization of GF data and contributes to the understanding of land–air interactions. Full article
(This article belongs to the Special Issue Recent Advance in Energy Budget and Earth-Atmosphere Coupling)
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19 pages, 108908 KiB  
Article
The Classification of Reflectance Anisotropy and Its Application in Albedo Retrieval
by Mengzhuo Zhao, Hu Zhang, Cancan Chen, Chenxia Wang, Yan Liu, Juan Li and Tiejun Cui
Atmosphere 2022, 13(8), 1182; https://doi.org/10.3390/atmos13081182 - 26 Jul 2022
Cited by 1 | Viewed by 1198
Abstract
The land surface albedo reflects the ability of the surface to reflect solar radiation and is a critical physical variable in the study of the Earth’s energy budget and global climate change. Algorithms for the retrieval of albedo usually require multi-angle measurements due [...] Read more.
The land surface albedo reflects the ability of the surface to reflect solar radiation and is a critical physical variable in the study of the Earth’s energy budget and global climate change. Algorithms for the retrieval of albedo usually require multi-angle measurements due to surface anisotropy. However, most of the satellites cannot currently provide sufficient and well-distributed observations; therefore, the accuracy of remotely sensed albedo is constrained. Based on the Moderate-Resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function (BRDF) and albedo product (MCD43A1), this study proposed a method to further subdivide reflectance anisotropy and build an updated database of BRDF archetype, using both the Anisotropic Flat Index (AFX) and Perpendicular Anisotropic Flat Index (PAFX). The BRDF archetypes were used to fit the corresponding MODIS BRDF, and the optimal number of BRDF archetype categories was determined according to the tendency of fitting error. The effect of surface anisotropy and observation noise on albedo retrieval were explored based on simulated MODIS reflectance. Finally, the BRDF archetype A2P2 was taken as prior knowledge to retrieve albedo from a different number of MODIS observations, and the result was validated by the high-quality MODIS albedo product. The results show that the fitting error between BRDF archetypes and MODIS BRDF shows a rapid decline when introducing the PAFX in the classification process. A 3-by-3 matrix of BRDF archetypes, which occupy 73.44% and 70.13% of the total decline in the red and NIR band, can be used to represent the characteristics of reflectance anisotropy. The archetype A2P2 may be used as prior knowledge to improve the albedo retrieval from insufficient observations. The validation results based on MODIS observations show that the archetype A2P2-based albedo can reach root-mean-square errors (RMSEs) of no more than 0.03. Full article
(This article belongs to the Special Issue Recent Advance in Energy Budget and Earth-Atmosphere Coupling)
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