Modeling Applications under Changing Climatic Conditions on Water Resource Security

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

Deadline for manuscript submissions: closed (28 February 2022) | Viewed by 2888

Special Issue Editors

College of Resources and Environmental Science, China Agricultural University (CAU), Beijing 100094, China
Interests: atmospheric data assimilation; hydrological modeling; land surface model assimilation
Special Issues, Collections and Topics in MDPI journals
Department of Civil Engineering, The University of Hong Kong (HKU), Hong Kong, China
Interests: water resources; climate change; multi-scale terrestrial hydrologic processes; urbanization; remote sensing application to hydrology; natural hazards
Special Issues, Collections and Topics in MDPI journals
Department of Geology, University of Cincinnati, Cincinnati, OH 45221-0013, USA
Interests: numerical modeling; unsaturated soil behavior; ground water flow
Special Issues, Collections and Topics in MDPI journals
Edwards Aquifer Authority, 900 E. Quincy, San Antonio, TX 78215, USA
Interests: water quality monitoring and evaluation; eochemical and reactive transport modeling; numerical assessment of impacts climate change on water resources
School of Human Settlements & Civil Engineering, Xi'an Jiaotong University, Xi'an 710000, China
Interests: watershed hydrology; nonpoint source pollution; climate change; model development and integration
College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
Interests: ecohydrological processes; climate change; ecohydrological modelling; water resource management; water cycle; drought
Special Issues, Collections and Topics in MDPI journals
Indian Institute of Technology Bombay, Powai, Mumbai 400076, India
Interests: rainfall and streamflow modeling; ecosystem modeling; human-water Interactions

Special Issue Information

Dear Colleagues, 

Investigating high-resolution atmosphere–hydrology coupled modeling systems under the influence of intensive climate change/variability and human activities can lay a scientific foundation for water resources security in areas of extensive human activities and it can enhance the basic support capacity to ensure water safety in water-scarce areas. This Special Issue “Modeling applications under changing climatic conditions on water resource security” solicits papers on recent advances and applications in the areas of "natural–social" dualistic water cycle theory and high-resolution atmosphere (e.g., China Meteorological Assimilation Driving Datasets for the SWAT model (CMADS) [] )-hydrology coupled modeling.

These may include, but are not limited to, water disasters, water environment modeling, non-point source pollution modeling, eco-hydrological modeling, climate change research, uncertainty analysis of hydrological modeling, response of water resources under climate change, the impact of agriculture on climate change and anthropogenic activities, meteorological analysis, meteorological verification, model intercomparison, atmosphere–hydrology coupled modeling, watershed surface water–groundwater interactions, virtual water, and reservoir regulation. We especially encourage research manuscripts on theoretical, computational, and field studies on the topics above.

Dr. Xianyong Meng
Dr. Ji Chen
Dr. Reza Soltanian
Dr. Changbing Yang
Dr. Yiping Wu
Dr. Lianqing Xue
Dr. Bellie Sivakumar
Guest Editors

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  • Dualistic water cycle
  • Climate change
  • Hydrology
  • Meteorology
  • Water security
  • Natural hazards
  • SWAT

Published Papers (1 paper)

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31 pages, 9791 KiB  
Evaluation and Application of Reanalyzed Combined Data under Extreme Climate Conditions: A Case Study of a Typical Flood Event in the Jinsha River
Atmosphere 2022, 13(2), 263; - 04 Feb 2022
Cited by 1 | Viewed by 1628
From 15 to 20 September 2016, precipitation extremes occurred in the middle and lower reaches of the Jinsha River, causing immense direct economic losses due to floods. The current research on extreme climate characteristics and the relationship between climate extremes and runoff extremes [...] Read more.
From 15 to 20 September 2016, precipitation extremes occurred in the middle and lower reaches of the Jinsha River, causing immense direct economic losses due to floods. The current research on extreme climate characteristics and the relationship between climate extremes and runoff extremes are based on a single data source. This is due to the uneven distribution of precipitation and temperature stations, which make it difficult to fully capture extreme climate events. In this paper, various internationally popular reanalysis datasets were introduced. Extreme climate indexes were computed using the merged datasets versus the meteorological station observations. The results showed that: (1) Comparative analysis of the extreme climate indexes of the reanalysis dataset and the data of traditional meteorological observation stations showed that most of the extreme precipitation indexes calculated by the various reanalysis of combined data exhibited good performances. Among the reanalyzed combined products, CMPA-H, CMADS, and GPM (IMERG) exhibited good performance while the performance of TRMM (TMPA) was slightly worse. The extreme temperature indexes, TXx and TNn, calculated based on the reanalysis of combined data showed a better consistency than the indexes calculated based on the observational data of meteorological stations. The CMADS temperature dataset exhibited a higher consistency with the data obtained from meteorological stations as well as the best accuracy (84% of the stations with the error value of TXx calculated from the CMADS dataset and observed data less than 3 °C). (2) The response of typical flood events to precipitation extremes were analyzed and evaluated; the spatial distribution of the precipitation in the combined dataset was used to quantitatively analyze the response of occurrence of typical flood events to precipitation extremes, and the typical flood events were found to be mainly caused by certain factors, such as lagging flood propagation in the upstream of the basin outlet. This study indicates that it is feasible to use the reanalyzed combined data products to calculate the extreme climate indexes of the Jinsha River Basin, especially in the upper reaches of the Yangtze River where there is a lack of meteorological observation stations. Full article
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