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Atmosphere
Special Issues
Assessing Hydrological and Environmental Impacts of Climate Change (2nd Volume)
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Assessing Hydrological and Environmental Impacts of Climate Change (2nd Volume)

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

Deadline for manuscript submissions: closed (5 March 2024) | Viewed by 1434

Special Issue Editors

Dr. Xiong Zhou

E-Mail Website
Guest Editor
1. China-Canada Center for Energy, Environment and Ecology Research, UofR-BNU, Beijing Normal University, Beijing 100875, China
2. Institute for Energy, Environment and Sustainable Communities, University of Regina, Regina, SK S4S 0A2, Canada
Interests: regional climate modeling; hydrological simulation; water resources management; climate-change impact assessment; environmental systems modeling
Special Issues, Collections and Topics in MDPI journals
Dr. Xander Wang

E-Mail Website
Guest Editor
School of Climate Change and Adaptation, University of Prince Edward Island, Charlottetown, PEI C1A 4P3, Canada
Interests: regional climate modeling; climate downscaling; hydrological modeling and flooding risk analysis; energy systems modeling under climate change; climate change impact assessment and adaptation studies; GIS; spatial modeling and analysis; big data analysis and visualization
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Global warming has significant impacts on atmospheric conditions and hydrological cycles, as evidenced by the increased frequency and intensity of extreme events and disasters. Such impacts pose tremendous risks to the agricultural, economic and environmental sectors. This necessitates comprehensive impact assessment of climate change to support the adaptation to, and mitigation of, severe consequences. Climate and hydrological modeling are required to explore the climate change’s effects on spatiotemporal patterns of climatological and hydrological regimes. This could scientifically advance our understanding of how the changing climate will affect the intertwined climate system and water cycle. Advances in research are expected to provide a scientific basis for initiatives, policies and strategies on adaptating to and mitigating climate change at global, regional, and local scales within multiple sectors.

For this Special Issue, we seek the state-of-the-art research advances in the development of climate and hydrological projections based on global climate models (GCMs), regional climate models (RCMs), statistical downscaling methods, and hydrological models; assessments of climate change’s impacts on atmospheric regimes and the water cycle, as well as their socioeconomic and environmental implications on multiple sectors; adaptation planning and mitigation strategies for addressing the tremendous risks posed by climate change.

The research topics of interest include, but are not limited to:

  • Climate change modeling;
  • Regional climate modeling;
  • Climate variability;
  • Climate-related risks and extreme events;
  • Climate change impact assessment;
  • Hydrological and flood simulation;
  • Hydrological extremes;
  • Water resources management.

We look forward to receiving manuscripts on the above topic.

Dr. Xiong Zhou
Dr. Xander Wang
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

  • climate change modeling
  • regional climate modeling
  • climate variability
  • climate-related risks and extreme events
  • climate change impact assessment
  • hydrological and flood simulation
  • hydrological extremes
  • water resources management

Published Papers (1 paper)

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Research

21 pages, 19023 KiB  
Article
Response Time of Vegetation to Drought in Weihe River Basin, China
by Jingjing Fan, Shibo Wei, Guanpeng Liu, Xiong Zhou, Yunyun Li, Chenyu Wu and Fanfan Xu
Atmosphere 2023, 14(6), 938; https://doi.org/10.3390/atmos14060938 - 26 May 2023
Cited by 1 | Viewed by 946
Abstract
Frequent droughts may have negative influences on the ecosystem (i.e., terrestrial vegetation) under a warming climate condition. In this study, the linear regression method was first used to analyze trends in vegetation change (normalized difference vegetation index (NDVI)) and drought indices (Standardized Precipitation [...] Read more.
Frequent droughts may have negative influences on the ecosystem (i.e., terrestrial vegetation) under a warming climate condition. In this study, the linear regression method was first used to analyze trends in vegetation change (normalized difference vegetation index (NDVI)) and drought indices (Standardized Precipitation Index (SPI) and Standardized Precipitation Evapotranspiration Index (SPEI)). The Pearson Correlation analysis was then used to quantify drought impacts on terrestrial vegetation in the Weihe River Basin (WRB); in particular, the response time of vegetation to multiple time scales of drought (RTVD) in the WRB was also investigated. The trend analysis results indicated that 89.77% of the area of the basin showed a significant increasing trend in NDVI from 2000 to 2019. There were also significant variations in NDVI during the year, with the highest rate in June (0.01) and the lowest rate in January (0.002). From 2000 to 2019, SPI and SPEI at different time scales in the WRB showed an overall increasing trend, which indicated that the drought was alleviated. The results of correlation analysis showed that the response time of vegetation to drought in the WRB from 2000 to 2019 was significantly spatially heterogeneous. For NDVI to SPEI, the response time of 12 months was widely distributed in the north; however, the response time of 24 months was mainly distributed in the middle basin. The response time of NDVI to SPI was short and was mainly concentrated at 3 and 6 months; in detail, the response time of 3 months was mainly distributed in the east, while a response time of 6 months was widely distributed in the west. In autumn and winter, the response time of NDVI to SPEI was longer (12 and 24 months), while the response time of NDVI to SPI was shorter (3 months). From the maximum correlation coefficient, the response of grassland to drought (SPEI and SPI) at different time scales (i.e., 6, 12, and 24 months) was higher than that of cultivated land, forestland, and artificial surface. The results may help improve our understanding of the impacts of climatic changes on vegetation cover. Full article
(This article belongs to the Special Issue Assessing Hydrological and Environmental Impacts of Climate Change (2nd Volume))
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