IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v115y2023i3d10.1007_s11069-022-05659-3.html
   My bibliography  Save this article

Region-dependent meteorological conditions for the winter cold hazards with and without precipitation in China

Author

Listed:
  • Yu Yueyue

    (Nanjing University of Information Science and Technology
    CAS
    Nanjing University of Information Science and Technology)

  • Yang Wenwen

    (Nanjing University of Information Science and Technology)

  • Zhang Lingli

    (Nanjing University of Information Science and Technology
    Jilin Changbaishan Meteorological Bureau)

  • Guan Zhaoyong

    (Nanjing University of Information Science and Technology)

  • Yang Qinlan

    (Nanjing University of Information Science and Technology)

  • Hu Muxin

    (Nanjing University of Information Science and Technology)

  • Qiu Wentian

    (Nanjing University of Information Science and Technology)

  • Wang Jingyi

    (Nanjing University of Information Science and Technology)

Abstract

Cold hazard is one of the major meteorological disasters in winter. However, the meteorological conditions for the cold hazard events vary significantly with both the feature of the event and the region of occurrence. This study divides winter cold hazard events in China into three categories based on the daily gridded dataset of cold hazards from November 1980 to March 2020: events without wintry precipitation (hazardous low temperature, abrupt temperature drop, and/or freezing), with wintry precipitation only (hazardous sleet and/or snowstorm), and with both. The region-dependent multivariate meteorological conditions for each category of cold hazards are investigated using ERA5 reanalysis data. Results show that the surface air temperature (T2m) and its anomaly (T2m_anom) are lower than climatology during cold hazards. But the difference in T2m among provinces exceeds 30 °C, and even for the same province, the difference among different categories of cold hazards exceeds 10 °C. The region- and category-dependent differences of T2m_anom and daily temperature drop (∆T24) are also large, about 5 °C and 2 °C d−1, respectively. The Multivariate Empirical Orthogonal Function analysis has further been applied to not only the abovementioned temperature-related variables but also the precipitation-related variables (i.e., daily accumulated total precipitation, daily accumulated snowfall, and daily mean snow depth) in the middle and lower Yangtze River region, which reveals the event-mean state and spatial–temporal coupling evolution during the progression of the event for the selected key meteorological variables. The meteorological conditions for cold hazards put forward by this study could provide region-dependent and category-dependent reference for the prediction and warning of cold hazards.

Suggested Citation

  • Yu Yueyue & Yang Wenwen & Zhang Lingli & Guan Zhaoyong & Yang Qinlan & Hu Muxin & Qiu Wentian & Wang Jingyi, 2023. "Region-dependent meteorological conditions for the winter cold hazards with and without precipitation in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 115(3), pages 2673-2698, February.
    • Handle: RePEc:spr:nathaz:v:115:y:2023:i:3:d:10.1007_s11069-022-05659-3
    DOI: 10.1007/s11069-022-05659-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-022-05659-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11069-022-05659-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. James A. Screen & Ian Simmonds, 2014. "Amplified mid-latitude planetary waves favour particular regional weather extremes," Nature Climate Change, Nature, vol. 4(8), pages 704-709, August.
    2. Judah Cohen & Karl Pfeiffer & Jennifer A. Francis, 2018. "Warm Arctic episodes linked with increased frequency of extreme winter weather in the United States," Nature Communications, Nature, vol. 9(1), pages 1-12, December.
    3. Shao Sun & Qiang Zhang & Yuanxin Xu & Ruyue Yuan, 2021. "Integrated Assessments of Meteorological Hazards across the Qinghai-Tibet Plateau of China," Sustainability, MDPI, vol. 13(18), pages 1-14, September.
    4. Nathaniel C. Johnson & Shang-Ping Xie & Yu Kosaka & Xichen Li, 2018. "Increasing occurrence of cold and warm extremes during the recent global warming slowdown," Nature Communications, Nature, vol. 9(1), pages 1-12, December.
    5. Wei Xu & Li Zhuo & Jing Zheng & Yi Ge & Zhihui Gu & Yugang Tian, 2016. "Assessment of the Casualty Risk of Multiple Meteorological Hazards in China," IJERPH, MDPI, vol. 13(2), pages 1-12, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Indrė Gečaitė & Egidijus Rimkus, 2023. "Wintertime cold and warm spells in the eastern part of the Baltic Sea region," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 115(3), pages 2435-2456, February.
    2. Lisa Reyes Mason & Bonita B. Sharma & Jayme E. Walters & Christine C. Ekenga, 2020. "Mental Health and Weather Extremes in a Southeastern U.S. City: Exploring Group Differences by Race," IJERPH, MDPI, vol. 17(10), pages 1-18, May.
    3. Brock, W. & Xepapadeas, A., 2017. "Climate change policy under polar amplification," European Economic Review, Elsevier, vol. 99(C), pages 93-112.
    4. Vinícius B. P. Chagas & Pedro L. B. Chaffe & Günter Blöschl, 2022. "Climate and land management accelerate the Brazilian water cycle," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    5. Isabel Dorado-Liñán & Blanca Ayarzagüena & Flurin Babst & Guobao Xu & Luis Gil & Giovanna Battipaglia & Allan Buras & Vojtěch Čada & J. Julio Camarero & Liam Cavin & Hugues Claessens & Igor Drobyshev , 2022. "Jet stream position explains regional anomalies in European beech forest productivity and tree growth," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    6. Mohammad Abdul Quader & Amanat Ullah Khan & Matthieu Kervyn, 2017. "Assessing Risks from Cyclones for Human Lives and Livelihoods in the Coastal Region of Bangladesh," IJERPH, MDPI, vol. 14(8), pages 1-26, July.
    7. Yuqing Zhang & Changchun Chen & Yun Niu & Liucheng Shen & Wenyuan Wang, 2023. "The severity of heat and cold waves amplified by high relative humidity in humid subtropical basins: a case study in the Gan River Basin, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 115(1), pages 865-898, January.
    8. H. Pallubinsky & R. P. Kramer & W. D. Marken Lichtenbelt, 2023. "Establishing resilience in times of climate change—a perspective on humans and buildings," Climatic Change, Springer, vol. 176(10), pages 1-19, October.
    9. Jill F. Lundell & Brennan Bean & Jürgen Symanzik, 2023. "Let’s talk about the weather: a cluster-based approach to weather forecast accuracy," Computational Statistics, Springer, vol. 38(3), pages 1135-1155, September.
    10. Martin T. Dokulil & Elvira Eyto & Stephen C. Maberly & Linda May & Gesa A. Weyhenmeyer & R. Iestyn Woolway, 2021. "Increasing maximum lake surface temperature under climate change," Climatic Change, Springer, vol. 165(3), pages 1-17, April.
    11. Xiaofei Yang & Haopeng Yu & Susan Duncan & Yueying Zhang & Jitender Cheema & Haifeng Liu & J. Benjamin Miller & Jie Zhang & Chun Kit Kwok & Huakun Zhang & Yiliang Ding, 2022. "RNA G-quadruplex structure contributes to cold adaptation in plants," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    12. Lauren Dundes & Madeline Streiff & Zachary Streiff, 2018. "Storm Power, an Icy Tower and Elsa’s Bower: The Winds of Change in Disney’s Frozen," Social Sciences, MDPI, vol. 7(6), pages 1-29, May.
    13. Weixiao Han & Chen Liang & Baofa Jiang & Wei Ma & Ying Zhang, 2016. "Major Natural Disasters in China, 1985–2014: Occurrence and Damages," IJERPH, MDPI, vol. 13(11), pages 1-14, November.
    14. Hua Liao & Chen Zhang & Paul J. Burke & Ru Li & Yi‐Ming Wei, 2023. "Extreme temperatures, mortality, and adaptation: Evidence from the county level in China," Health Economics, John Wiley & Sons, Ltd., vol. 32(4), pages 953-969, April.
    15. Xiaoting Sun & Qinghua Ding & Shih-Yu Simon Wang & Dániel Topál & Qingquan Li & Christopher Castro & Haiyan Teng & Rui Luo & Yihui Ding, 2022. "Enhanced jet stream waviness induced by suppressed tropical Pacific convection during boreal summer," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    16. Botao Zhou & Ziyi Song & Zhicong Yin & Xinping Xu & Bo Sun & Pangchi Hsu & Haishan Chen, 2024. "Recent autumn sea ice loss in the eastern Arctic enhanced by summer Asian-Pacific Oscillation," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    17. Mi-Kyung Sung & Soon-Il An & Jongsoo Shin & Jae-Heung Park & Young-Min Yang & Hyo-Jeong Kim & Minhee Chang, 2023. "Ocean fronts as decadal thermostats modulating continental warming hiatus," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    18. Colin D. Butler, 2018. "Climate Change, Health and Existential Risks to Civilization: A Comprehensive Review (1989–2013)," IJERPH, MDPI, vol. 15(10), pages 1-21, October.
    19. Lihong Wang & Zaiwu Gong, 2017. "Priority of a Hesitant Fuzzy Linguistic Preference Relation with a Normal Distribution in Meteorological Disaster Risk Assessment," IJERPH, MDPI, vol. 14(10), pages 1-16, October.
    20. Zhen Li & Erik Spangenberg & Judith M. Schicks & Thomas Kempka, 2022. "Numerical Simulation of Coastal Sub-Permafrost Gas Hydrate Formation in the Mackenzie Delta, Canadian Arctic," Energies, MDPI, vol. 15(14), pages 1-25, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:115:y:2023:i:3:d:10.1007_s11069-022-05659-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.