Atmosphere and Surface Hydrothermal Factors

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Biosphere/Hydrosphere/Land–Atmosphere Interactions".

Deadline for manuscript submissions: closed (15 December 2022) | Viewed by 1682

Special Issue Editors

Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
Interests: soil moisture; evapotranspiration; vegetation phenology; land use/cover

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Guest Editor
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
Interests: agricultural remote sensing; validation of remote sensing products; temporal and spatial analysis
Special Issues, Collections and Topics in MDPI journals
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
Interests: aerosol remote sensing; atmospheric component; climate change
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The atmosphere is essential for Earth’s climate, which is a global concern and widely recognized in both the scientific community and among the lay public. Surface hydrothermal factors are sensitive to the climate, and play an important role in the physical and biochemical processes of soil, as well as the energy exchange system. They directly affect the roots of plants, and have an important impact on the germination of plant seeds and the growth of plants. In modern times, the sources and sinks of atmospheric components are under dynamic change, causing the previous spatio-temporal pattern of radiation balance and surface hydrothermal factors to be disrupted and possibly come to a new balance, which must be carefully studied.

The goal of this Special Issue is to discuss the spatio-temporal pattern of surface hydrothermal factors and atmospheric components in the context of climate change. Therefore, we cordially invite our colleagues in the scientific community to submit their exciting findings to our recently released Special Issue of Atmosphere which relates to “Atmosphere and Surface Hydrothermal Factors”. Potential topics include, but are not limited to, the following:

  • Surface hydrothermal factors (e.g., surface temperature, soil moisture, evapotranspiration) retrieval.
  • Atmospheric components retrieval.
  • Spatio-temporal characteristics of surface hydrothermal factors and atmospheric components.
  • Effects of land use/cover change on hydrothermal factors.
  • Influence of surface hydrothermal factors on agricultural production.
  • Response of ecosystems to surface hydrothermal factors.
  • The source and sink of atmospheric components.
  • Atmospheric components and climate change.
  • Climate change and surface hydrothermal factors.

Dr. Yulin Zhan
Dr. Chunmei Wang
Dr. Shuaiyi Shi
Guest Editors

Manuscript Submission Information

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Keywords

  • climate change
  • surface temperature
  • soil moisture
  • evapotranspiration
  • atmospheric components
  • land use/cover
  • source and sink
  • ecosystem
  • remote sensing

Published Papers (1 paper)

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Research

12 pages, 985 KiB  
Article
Study on Optimal Sampling Analysis of Soil Moisture at Field Scale for Remote Sensing Applications
by Chunmei Wang, Xingfa Gu, Chunnuan Wang, Jian Yang, Yang Lu and Zou Chen
Atmosphere 2023, 14(1), 149; https://doi.org/10.3390/atmos14010149 - 9 Jan 2023
Cited by 2 | Viewed by 1219
Abstract
With the rapid development of soil moisture estimation techniques involving remote sensing technology, the sampling designs used in soil moisture research are very important. To estimate the rational sample number for measuring near-surface soil moisture (0–20 cm), a random combination method was used [...] Read more.
With the rapid development of soil moisture estimation techniques involving remote sensing technology, the sampling designs used in soil moisture research are very important. To estimate the rational sample number for measuring near-surface soil moisture (0–20 cm), a random combination method was used to study the relationship between the average measured soil moisture contents and the true values at given scales. Compared to classic statistics and stratified sampling, the random combination method easily obtained precision estimates from a small number of samples. Moreover, the random combination method was upscaled to further discuss the influence of the coefficient of variation and study-region scale on the rational sample numbers at different scales (2, 10, 20, 40, 80, and 160 m). The results showed that the rational sample numbers for measuring near-surface soil moisture at the 2, 10, 20, 40, 80, and 160 m scales were 2, 5, 5, 8, 20, and 42, respectively, under the relative error of 10% at the 95% confidence level. The rational sample numbers at different scales were proportional to the coefficient of variation and the regional scale. Full article
(This article belongs to the Special Issue Atmosphere and Surface Hydrothermal Factors)
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