Modeling and Monitoring Climate Extremes and Impacts on Natural-Human Systems

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

Deadline for manuscript submissions: closed (31 December 2019) | Viewed by 7249

Special Issue Editors


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Guest Editor
The University of Tokyo, Japan
Interests: climate forcing and land feedback; coupled natural–human systems and sustainable development; remote sensing hydrology; big data–model integration
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Guest Editor
Jet Propulsion Laboratory/NASA, USA
Interests: application of satellite gravimetry for terrestrial hydrology; influence of subsurface water storage on hydrologic extremes; global water cycle variability and sea level rise
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Guest Editor
Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI 48824, USA
Interests: hydrological modeling; human impacts on the water cycle; water resource sustainability; food–energy–water nexus
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Special Issue Information

Dear Colleagues,

During recent years, the book-keeping records of extreme events and disasters have been replaced year to year. Because of significant advances over the past decade in modeling and remote sensing capacity for climate-hydrology-human interactions, our understanding of causes and impacts of such extreme events and disasters has been improved considerably.

This special issue jointly organized by “Atmosphere”-“Remote Sening”-“Water” aims to solicit original scientific contributions from the broader communities related to climate and atmospheric sciences, hydrology, and remote sensing, on the following topics: 1) Variability of climate forcing and hydrological feedback, 2) Detection/attribution of extreme events, and impact assessment, 3) Modeling of interactions between nature and human society, and 4) Remote sensing hydrology, and data-model integration.

Studies that focus on modeling and/or monitoring behaviors as coupled natural-human systems against extreme climatic perturbation from multi-scale perspectives are particularly encouraged, but studies related to the general areas of climate and hydrological extremes, climate change and impact assessments, sustainability science, numerical model development, and development of remote sensing algorithms are equally welcome.

According to the Aims & Scope of the hosting journals and the topic of the study, a manuscript can be submitted to the most appropriate journal among Atmosphere”, “Remote Sening”, and “Water”.

You may choose our Joint Special Issue in Water.

Prof. Dr. Hyungjun Kim
Prof. Dr. Jin-Ho Yoon
Dr. John T. Reager
Prof. Dr. Yadu Pokhrel
Guest Editors

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Keywords

  • Extreme events
  • Natural and human systems
  • Hydrological modeling
  • Remote sensing hydrology

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Published Papers (2 papers)

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Research

13 pages, 2358 KiB  
Article
Effect of Human-Induced Land Disturbance on Subseasonal Predictability of Near-Surface Variables Using an Atmospheric General Circulation Model
by Tomohito J. Yamada and Yadu Pokhrel
Atmosphere 2019, 10(11), 725; https://doi.org/10.3390/atmos10110725 - 19 Nov 2019
Cited by 7 | Viewed by 3379
Abstract
Irrigation can affect climate and weather patterns from regional to global scales through the alteration of surface water and energy balances. Here, we couple a land-surface model (LSM) that includes various human land-water management activities including irrigation with an atmospheric general circulation model [...] Read more.
Irrigation can affect climate and weather patterns from regional to global scales through the alteration of surface water and energy balances. Here, we couple a land-surface model (LSM) that includes various human land-water management activities including irrigation with an atmospheric general circulation model (AGCM) to examine the impacts of irrigation-induced land disturbance on the subseasonal predictability of near-surface variables. Results indicate that the simulated global irrigation and groundwater withdrawals (circa 2000) are ~3600 and ~370 km3/year, respectively, which are in good agreement with previous estimates from country statistics and offline–LSMs. Subseasonal predictions for boreal summers during the 1986–1995 period suggest that the spread among ensemble simulations of air temperature can be substantially reduced by using realistic land initializations considering irrigation-induced changes in soil moisture. Additionally, it is found that the subseasonal forecast skill for near-surface temperature and sea level pressure significantly improves when human-induced land disturbance is accounted for in the AGCM. These results underscore the need to incorporate irrigation into weather forecast models, such as the global forecast system. Full article
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14 pages, 4120 KiB  
Article
Assessment of the Environmental and Societal Impacts of the Category-3 Typhoon Hato
by Eric C. H. Chow, Min Wen, Lei Li, Marco Y. T. Leung, Paxson K. Y. Cheung and Wen Zhou
Atmosphere 2019, 10(6), 296; https://doi.org/10.3390/atmos10060296 - 1 Jun 2019
Cited by 7 | Viewed by 3508
Abstract
The destructiveness and potential hazards brought to the Pearl River Delta (PRD) by the category-3 typhoon Hato in 2017 have been studied. The results show that wind flow is one of the key parameters influenced by tropical cyclones. The observed wind at Shenzhen [...] Read more.
The destructiveness and potential hazards brought to the Pearl River Delta (PRD) by the category-3 typhoon Hato in 2017 have been studied. The results show that wind flow is one of the key parameters influenced by tropical cyclones. The observed wind at Shenzhen station changed from median southwesterly and calm northerly to strong easterly during the evolution of Hato as it approached the PRD and during landfall, respectively. The peak wind intensity at the surface level and a height of 300 m reached over 17 m s−1 and 30 m s−1, respectively. In Zhuhai, the area closest to the landfall location, the situ observation shows that the maximum wind and the maximum gust on 23 August 2017 reached 29.9 m s−1 and over 50 m s−1, respectively, which is a record-breaking intensity compared with the highest recorded intensity during tropical cyclone (TC) activity in Vicente in 2012. The maximum sea level during 23 August 2017, with an added influence from the storm surge and the astronomical tide, was found to be over 3.9 m to the west of Hong Kong. Extreme high temperature was also recorded on 22 August 2017 before the landfall, with 38.4, 38, and 36.9 °C of daily maximum temperature in Shenzhen, Macao, and Hong Kong, respectively. Based on the heat index calculated with the temperature record at Shenzhen’s station, the hot temperature hazard reached “danger” levels. On the other hand, a prominent air quality deterioration was observed on 21 August 2017. The concentrations rapidly increased to 1 time greater than those on the previous day in Hong Kong. The TC-induced sinking motion, continental advection, and less amount of cloud cover were observed before the landfall, and would be the possible factors causing the extreme high temperature and the poor air quality. This case study illustrates that the influences of Hato to the PRD were not only limited to their destructiveness during landfall, but also brought the extreme high temperature and poor air quality. Full article
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