New Insights in Surface Process under Climate Change

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Climatology".

Deadline for manuscript submissions: closed (3 June 2024) | Viewed by 3075

Special Issue Editors


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Guest Editor
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences (CAS), Beijing 100101, China
Interests: remote sensing; hydrology; soil moisture; climate change; machine learning
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences (CAS), Beijing 100101, China
Interests: remote sensing; vegetation recovery; surface solar radiation; cloud motion; land cover changes; climate impacts
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences (CAS), Beijing 100101, China
Interests: snow hydrology; climate change; energy budget; remote sensing

Special Issue Information

Dear Colleagues,

Numerous Earth surface processes, such as the circulations of hydrology, energy, carbon and atmosphere, are remarkably changed under the background of climate change. Great efforts are made to promote the understanding of the past, present and future surface environment. On one hand, new hybrid algorithms are designed to achieve superior accuracy, as well as mechanism interpretability within Earth surface data simulation. On the other hand, comprehensive investigations are carried out to illustrate the spatial and temporal evolution pattern of surface components on the basis of objective evaluations. Increasingly available Earth observation datasets, including in situ measurements, remotely sensed data and assimilation product, provide unprecedented opportunities for coping with climate change and achieving sustainable development.

This Special Issue aims to seek insights related to Earth surface process from an innovative perspective. Any advances or applications of the use of Earth observation datasets to address environmental issues are encouraged. Topics may include (but are not limited to) the following:

  • Advanced algorithms in Earth surface data simulation;
  • Multi-perspective evaluations of Earth surface variables;
  • Spatial and temporal evolution pattern of key surface components under the background of climate change;
  • Numerous inter-reactions elements within Earth surface circulation systems.

We look forward to receiving your contributions.

Dr. Yangxiaoyue Liu
Dr. Hou Jiang
Dr. Xiaona Chen
Guest Editors

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Keywords

  • climate change
  • surface processes
  • hydrologic cycle
  • energy cycle
  • atmospheric cycle
  • carbon cycle
  • new insights and applications

Published Papers (2 papers)

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Research

16 pages, 3137 KiB  
Article
Analysis of Hotspots and Trends in Soil Moisture Research since the 21st Century
by Yuanxiang Cai, Yaping Yang, Xiafang Yue and Yang Xu
Atmosphere 2023, 14(10), 1494; https://doi.org/10.3390/atmos14101494 - 27 Sep 2023
Viewed by 1387
Abstract
Soil moisture is a key factor in ecosystems that profoundly affects carbon, nitrogen, and water cycles on land surfaces, vegetation growth, and climate change. Consequently, numerous scholars have researched and authored scientific literature on soil moisture and related topics. Using the Web of [...] Read more.
Soil moisture is a key factor in ecosystems that profoundly affects carbon, nitrogen, and water cycles on land surfaces, vegetation growth, and climate change. Consequently, numerous scholars have researched and authored scientific literature on soil moisture and related topics. Using the Web of Science database, we conducted a bibliometric analysis of 60,581 papers published in the field of soil moisture between 2000 and 2022. The findings revealed the following trends. (1) The number of publications on soil moisture has consistently increased in the 21st century at an increasing rate. For instance, although the annual increase was only 94 publications in 2005, it surged to 321 publications in 2020. (2) The United States (US), China, and developed European countries emerged as primary research institutions and authors. The US occupies a leading position in soil moisture research, boasting the highest number of publications and total citations in the field, whereas China ranks second in both publications and total citations. (3) Regarding international collaboration, the US has established close partnerships with numerous international research institutions. However, China’s international cooperation in this field requires improvement. (4) The Journal of Hydrology holds the top position in terms of both the total number of published articles and citations. Research on water resources ranked first in terms of its H-index. (5) Keyword analysis highlighted several current research hotspots, including the coupled covariance effect of soil moisture and land surface environmental factors in the context of climate change, soil moisture utilization rate, crop yield, influence mechanism of soil moisture on soil ecosystem structure, and development of high-precision soil moisture data products. In conclusion, this study provides a systematic review of the research hotspots and trends in soil moisture studies in the 21st century. The objective is to offer a comprehensive reference to aid in understanding the evolutionary patterns of soil moisture research in multiple dimensions. Full article
(This article belongs to the Special Issue New Insights in Surface Process under Climate Change)
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23 pages, 30105 KiB  
Article
Evaluation of Long Time-Series Soil Moisture Products Using Extended Triple Collocation and In Situ Measurements in China
by Liumeng Zhang, Yaping Yang, Yangxiaoyue Liu and Xiafang Yue
Atmosphere 2023, 14(9), 1351; https://doi.org/10.3390/atmos14091351 - 28 Aug 2023
Viewed by 1139
Abstract
Currently, satellite-based soil moisture (SM) products and land surface model assimilation techniques are widely utilized. However, the presence of systematic errors in the observation process, algorithmic discrepancies between products, and variations in spatial and temporal scales result in diverse accuracy characteristics and applicability. [...] Read more.
Currently, satellite-based soil moisture (SM) products and land surface model assimilation techniques are widely utilized. However, the presence of systematic errors in the observation process, algorithmic discrepancies between products, and variations in spatial and temporal scales result in diverse accuracy characteristics and applicability. This study evaluates three prominent SM products in China, namely, the Essential Climate Variable Soil Moisture (ECV), the European Centre for Medium-Range Weather Forecasts’ Fifth-Generation Land Surface Reanalysis Data (ERA5-Land), and the Global Land Surface Data Assimilation System (GLDAS). The evaluation was conducted using extended triple collocation (ETC) analysis and in situ validation methods at a monthly scale from 2000 to 2020. The ETC analysis results show that among the three products, GLDAS exhibits the highest correlation coefficient (CC) and the lowest standard deviation of error (ESD), indicating its superior performance in China. ECV and ERA5-Land follow, with slightly lower performance. In the in situ validation results, ERA5-Land displays the highest correlation, capturing the temporal trend of the ground SM well. Comparatively, in terms of overall accuracy, ECV performs the best, with a slightly smaller mean error (ME) and root mean square error (RMSE) than GLDAS, and ERA5-Land has the lowest accuracy. The discrepancy between the in situ validation results and ETC analysis can be attributed to the limited number of sites and their representativeness errors. Notably, ERA5-Land exhibits a highly consistent trend of interannual fluctuations between ESD and precipitation. Furthermore, a strong association is observed between the ME and RMSE of ECV and GLDAS and precipitation. These findings serve as valuable references for future SM studies in China. Full article
(This article belongs to the Special Issue New Insights in Surface Process under Climate Change)
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