Trends In Extreme Weather Events With Socio-Economic Damage Over The Period 1991-2019 In Russia And Its Regions

Increased number of extreme weather events is one of the most serious hazards of climate change over the territory of Russia. However, there is a lack of comprehensive analysis of the number of extreme weather events that caused social and economic damage in the country and its regions. This paper a...

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Main Author: A. A. Romanovskaya
Other Authors: The author thanks Ms. Zhemchugova T.R. (Roshydromet) for providing the necessary primary data on agrometeorological hazards, Mr. Shamin S.I. for valuable advice and clarifications (All-Russian Research Institute of Hydrometeorological Information - World Data Center), Ms. Polumieva P. for assistance in working with geographic information systems and presenting cartographic information.
Format: Article in Journal/Newspaper
Language:English
Published: Russian Geographical Society 2024
Subjects:
Online Access:https://ges.rgo.ru/jour/article/view/3191
https://doi.org/10.24057/2071-9388-2023-2703
id ftjges:oai:oai.gesj.elpub.ru:article/3191
record_format openpolar
institution Open Polar
collection Geography, Environment, Sustainability (E-Journal)
op_collection_id ftjges
language English
topic climate change
socio-economic damage
trends
regional distribution
spellingShingle climate change
socio-economic damage
trends
regional distribution
A. A. Romanovskaya
Trends In Extreme Weather Events With Socio-Economic Damage Over The Period 1991-2019 In Russia And Its Regions
topic_facet climate change
socio-economic damage
trends
regional distribution
description Increased number of extreme weather events is one of the most serious hazards of climate change over the territory of Russia. However, there is a lack of comprehensive analysis of the number of extreme weather events that caused social and economic damage in the country and its regions. This paper analyzes changes in the total number of events with damage (meteorological for the period 1991-2019 and agrometeorological – for 2004-2019), disaggregated by their types and by regions. The Mann-Kendall test is applied to detect statistical significance (0.05 level of significance, normal distribution). The results show an increase in the number of meteorological extreme events with damage for 1990-2019 in Russia from 130 to 257 events per year on average for the 1990s and 2010s, respectively, while the proportion of events with damage in relation to the total number of extreme events decreased over this period. We found statistically significant trends only for a few types of extreme events: hot and cold temperature, strong wind, heavy rain and droughts (increase by 0.9, 9.4, 11.4, 25.9 and 13.3 events/10 years, respectively). Number of heavy rain precipitation events is the only unidirectional stable growth trend. Unusual increasing trend in cold extreme events with damage in Russia can be attributed to the greater damage to the economy and population from cold extremes than hot ones. The regional distribution of trends across the territory of the Russian Federation is heterogeneous. However, significant changes in the number of extreme events of strong winds, heavy rains and soil drought by regions are statistically positive and observed mostly in some southern and central regions of European part and the Western Siberia. The development of adaptation plans to the negative effects of climate change is a first priority for these regions. A system for monitoring economic and non-economic damage from extreme events must be developed in Russia.
author2 The author thanks Ms. Zhemchugova T.R. (Roshydromet) for providing the necessary primary data on agrometeorological hazards
Mr. Shamin S.I. for valuable advice and clarifications (All-Russian Research Institute of Hydrometeorological Information - World Data Center), Ms. Polumieva P. for assistance in working with geographic information systems and presenting cartographic information.
format Article in Journal/Newspaper
author A. A. Romanovskaya
author_facet A. A. Romanovskaya
author_sort A. A. Romanovskaya
title Trends In Extreme Weather Events With Socio-Economic Damage Over The Period 1991-2019 In Russia And Its Regions
title_short Trends In Extreme Weather Events With Socio-Economic Damage Over The Period 1991-2019 In Russia And Its Regions
title_full Trends In Extreme Weather Events With Socio-Economic Damage Over The Period 1991-2019 In Russia And Its Regions
title_fullStr Trends In Extreme Weather Events With Socio-Economic Damage Over The Period 1991-2019 In Russia And Its Regions
title_full_unstemmed Trends In Extreme Weather Events With Socio-Economic Damage Over The Period 1991-2019 In Russia And Its Regions
title_sort trends in extreme weather events with socio-economic damage over the period 1991-2019 in russia and its regions
publisher Russian Geographical Society
publishDate 2024
url https://ges.rgo.ru/jour/article/view/3191
https://doi.org/10.24057/2071-9388-2023-2703
long_lat ENVELOPE(-59.828,-59.828,-63.497,-63.497)
geographic Kendall
geographic_facet Kendall
genre Arctic
Siberia
genre_facet Arctic
Siberia
op_source GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY; Vol 16, No 4 (2023); 82-90
2542-1565
2071-9388
op_relation https://ges.rgo.ru/jour/article/view/3191/743
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Knutson, T. R., and Zeng, F.: Model assessment of observed precipitation trends over land regions: detectable human influences and possible low bias in model trends, J. Clim., 31, 4617–4637, https://doi.org/10.1175/JCLI-D-17-0672.1, 2018.
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Rabiei, J., Khademi, M.S., Bagherpour, S., Ebadi N., Karimi A., and Ostad-Ali-Askari K. Investigation of fire risk zones using heat–humidity time series data and vegetation. Appl Water Sci 12, 216 (2022). https://doi.org/10.1007/s13201-022-01742-z
Report on the Peculiarities of Climate on the Territory of the Russian Federation for 2021, Federal service for hydrometeorology and environmental monitoring (Roshydromet), 2022. Moscow, 110 pp.: http://downloads.igce.ru/reports/Doklad_o_klimate_RF_2021sZamechIspol_VSTUPITELNOE_slovo.pdf, last access: 3 December 2022 (in Russian).
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https://ges.rgo.ru/jour/article/view/3191
doi:10.24057/2071-9388-2023-2703
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spelling ftjges:oai:oai.gesj.elpub.ru:article/3191 2024-02-11T09:59:46+01:00 Trends In Extreme Weather Events With Socio-Economic Damage Over The Period 1991-2019 In Russia And Its Regions A. A. Romanovskaya The author thanks Ms. Zhemchugova T.R. (Roshydromet) for providing the necessary primary data on agrometeorological hazards Mr. Shamin S.I. for valuable advice and clarifications (All-Russian Research Institute of Hydrometeorological Information - World Data Center), Ms. Polumieva P. for assistance in working with geographic information systems and presenting cartographic information. 2024-01-12 application/pdf https://ges.rgo.ru/jour/article/view/3191 https://doi.org/10.24057/2071-9388-2023-2703 eng eng Russian Geographical Society https://ges.rgo.ru/jour/article/view/3191/743 Baburin, V.L., and Badina, S.V.: Evaluation of socio-economic potential of the territory exposed to adverse and dangerous natural phenomena, Bulletin of Moscow University. Series 5: Geography, 5, 9–16, 2015. Bardin, M.Y., and Platova, T.V.: Long-period variations in extreme temperature statistics in Russia as linked to the changes in large-scale atmospheric circulation and global warming, Russ. Meteorol. Hydrol., 44, 791–801, https://doi.org/10.3103/S106837391912001X, 2019. Cherenkova, E.A., and Semenov, V.A.: A new approach to the identifying of the extreme climate effect on the wheat yield reduction in the south of European Russia, Dokl. Earth Sc., 500, 781–786, https://doi.org/10.1134/S1028334X21090075, 2021. Cherenkova, E.A., Bardin, M.Y., Platova, T.V., and Semenov, V.A.: Influence of North Atlantic SST variability and changes in atmospheric circulation on the frequency of summer droughts in the east European Plain, Russ. Meteorol. Hydrol., 45, 819–829, https://doi.org/10.3103/S1068373920120018, 2020. Chernokulsky, A.V., Eliseev, A.V., Kozlov, F.A. et al.: Atmospheric severe convective events in Russia: changes observed from different data, Russ. Meteorol. Hydrol., 47, 343–354, https://doi.org/10.3103/S106837392205003X, 2022. Donat, M. G., Alexander, L. V., Herold, N., and Dittus, A. J.: Temperature and precipitation extremes in century-long gridded observations, reanalyses, and atmospheric model simulations, J. Geophys. Res. Atmos., 121, 11, 174-189, https://doi.org/10.1002/2016JD025480, 2016. Dunn, R. J. H., Alexander, L. V., Donat M. G. et al.: Development of an updated global land in situ-based dataset of temperature and precipitation extremes: HadEX3, J. of Geoph. Res.: Atmospheres, 125, e2019JD032263, https://doi.org/10.1029/2019JD032263, 2020. Edel’geriev, R. S. Kh., and Romanovskaya, A. A.: New approaches to the adaptation to climate change: the Arctic zone of Russia, Russ. Meteorol. Hydrol., 45, 5, 305–316, https://doi.org/10.3103/S1068373920050015, 2020. Gilbert, R.O.: Statistical methods for environmental pollution monitoring, Van Nostrand Reinhold, New York, USA, 336 pp. 1987. Helsel D.R., and Hirsch R.M. 1992. Statistical Methods in Water Resources. Elsevier, Amsterdam. 522 pp. Khlebnikova, E. I., Rudakova, Y. L., and Shkolnik, I. M.: Changes in precipitation regime over the territory of Russia: Data of regional climate modeling and observations, Russ. Meteorol. Hydrol., 44, 431–439, https://doi.org/10.3103/S106837391907001X, 2019. Knutson, T. R., and Zeng, F.: Model assessment of observed precipitation trends over land regions: detectable human influences and possible low bias in model trends, J. Clim., 31, 4617–4637, https://doi.org/10.1175/JCLI-D-17-0672.1, 2018. Korshunov, A.A., Shaimardanov, V.M., Shaimardanov, M.Z., and Shamin, S. I.: Frequency of hydrometeorological hazards which caused socioeconomic damage in 1998–2017, Meteorol. and Hydrol., 11, 13–19, https://doi.org/10.3103/S1068373920050015, 2019 (in Russian). Mass, C., Skalenakis, A., and Warner, M.: Extreme precipitation over West Coast of North America: is there a trend?, J. of Hydrometeorology, 12, 2, 310–318, https://doi.org/10.1175/2010JHM1341.1, 2011. Masson-Delmotte, V., Zhai, P., Pirani, A. et al. (Eds.): IPCC, 2021: Climate change 2021: the physical science basis. Contribution of Working Group I to the Sixth assessment report of the Intergovernmental Panel on Climate Change, Cambridge University Press, in press, https://www.ipcc.ch/report/ar6/wg1/, last access: 11 January 2022, 2021. Melnikov V.P., Osipov V.I., Brouchkov A.V. et al. Climate warming and permafrost thaw in the Russian Arctic: potential economic impacts on public infrastructure by 2050. Natural Hazards, 112 (7–9), 1-21, https://doi.org/10.1007/s11069-021-05179-6, 2022. National action plan for the first phase of adaptation to climate change for the period up to 2022, approved by the Order of the Government of the Russian Federation dated December 25, 2019 № 3183-r: http://static.government.ru/media/files/OTrFMr1Z1sORh5NIx4gLUsdgGHyWIAqy.pdf, last access: 11 January 2022, 2019 (in Russian). Nita, I.-A., Sfîcă, L., Voiculescu, M., Birsan, M.-V., Micheu, M.-M.: Changes in the global mean air temperature over land since 1980, Atmospheric Research, Volume 279, 106392, https://doi.org/10.1016/j.atmosres.2022.106392, 2022. Panfutova, Y. A.: Hazardous meteorological phenomena in the plain territory of the Russian Federation and the risks posed by them: author’s abstract of the thesis for the degree of Candidate of Geographical Sciences, Main Geophysics Observatory, St. Petersburg, 22 pp., 2008 (in Russian). Pavlova, V.N., Bogdanovich, A. Yu., and Semenov, S. M.: On the assessment of climate favorability for cereal cultivation based on the frequency of severe droughts, Russ. Meteorol. Hydrol., 45, 12, 864 - 869, https://doi.org/10.3103/S1068373920120079, 2020. Rabiei, J., Khademi, M.S., Bagherpour, S., Ebadi N., Karimi A., and Ostad-Ali-Askari K. Investigation of fire risk zones using heat–humidity time series data and vegetation. Appl Water Sci 12, 216 (2022). https://doi.org/10.1007/s13201-022-01742-z Report on the Peculiarities of Climate on the Territory of the Russian Federation for 2021, Federal service for hydrometeorology and environmental monitoring (Roshydromet), 2022. Moscow, 110 pp.: http://downloads.igce.ru/reports/Doklad_o_klimate_RF_2021sZamechIspol_VSTUPITELNOE_slovo.pdf, last access: 3 December 2022 (in Russian). Salmi, T., Määttä, A., Anttila, P., Ruoho-Airola, T., and Amnell, T.: Detecting trends of annual values of atmospheric pollutants by the Mann-Kendall test and Sen’s slope estimates – the Excel template application MAKESENS, Finnish meteorological institute, Publications on Air Quality, 31, report code FMI-AQ-31, 35 pp., 2002. Third assessment report of Roshydromet on climate change and its consequences on the territory of the Russian Federation, 2022, Moscow, Roshydromet, 678 pp.: http://downloads.igce.ru/publications/OD_3_2022/v2022/pdf/od3.pdf, last access: 3 December 2022 (in Russian). Seneviratne, S. I., Zhang, X., Adnan, M. et al.: Weather and climate extreme events in a changing climate, in: Climate change 2021: the physical science basis, contribution of Working group I to the Sixth assessment report of the Intergovernmental Panel on Climate Change, edited by: Masson-Delmotte, V., Zhai, P., Pirani, A. et al. 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N.: Modern climatic variability characteristics of extreme precipitation in Russia, Fundamental and applied climatology, 1, 84-103, https://doi.org/10.21513/2410-8758-2016-1-84-103, 2016 (in Russian). https://ges.rgo.ru/jour/article/view/3191 doi:10.24057/2071-9388-2023-2703 Authors who publish with this journal agree to the following terms:Authors retain copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.Authors can enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).The information and opinions presented in the Journal reflect the views of the authors and not of the Journal or its Editorial Board or the Publisher. 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Авторы, публикующие в данном журнале, соглашаются со следующим:Авторы сохраняют за собой авторские права на работу и предоставляют журналу право первой публикации работы на условиях лицензии Creative Commons Attribution License, которая позволяет другим распространять данную работу с обязательным сохранением ссылок на авторов оригинальной работы и оригинальную публикацию в этом журнале.Авторы сохраняют право заключать отдельные контрактные договорённости, касающиеся не-эксклюзивного распространения версии работы в опубликованном здесь виде (например, размещение ее в институтском хранилище, публикацию в книге), со ссылкой на ее оригинальную публикацию в этом журнале.Авторы имеют право размещать их работу GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY; Vol 16, No 4 (2023); 82-90 2542-1565 2071-9388 climate change socio-economic damage trends regional distribution info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2024 ftjges https://doi.org/10.24057/2071-9388-2023-270310.3103/S106837391912001X10.1134/S1028334X2109007510.3103/S106837392012001810.3103/S106837392205003X10.1002/2016JD02548010.1029/2019JD03226310.3103/S106837392005001510.3103/S106837391907001X10.1175/JCLI-D-17-067 2024-01-16T18:00:09Z Increased number of extreme weather events is one of the most serious hazards of climate change over the territory of Russia. However, there is a lack of comprehensive analysis of the number of extreme weather events that caused social and economic damage in the country and its regions. This paper analyzes changes in the total number of events with damage (meteorological for the period 1991-2019 and agrometeorological – for 2004-2019), disaggregated by their types and by regions. The Mann-Kendall test is applied to detect statistical significance (0.05 level of significance, normal distribution). The results show an increase in the number of meteorological extreme events with damage for 1990-2019 in Russia from 130 to 257 events per year on average for the 1990s and 2010s, respectively, while the proportion of events with damage in relation to the total number of extreme events decreased over this period. We found statistically significant trends only for a few types of extreme events: hot and cold temperature, strong wind, heavy rain and droughts (increase by 0.9, 9.4, 11.4, 25.9 and 13.3 events/10 years, respectively). Number of heavy rain precipitation events is the only unidirectional stable growth trend. Unusual increasing trend in cold extreme events with damage in Russia can be attributed to the greater damage to the economy and population from cold extremes than hot ones. The regional distribution of trends across the territory of the Russian Federation is heterogeneous. However, significant changes in the number of extreme events of strong winds, heavy rains and soil drought by regions are statistically positive and observed mostly in some southern and central regions of European part and the Western Siberia. The development of adaptation plans to the negative effects of climate change is a first priority for these regions. A system for monitoring economic and non-economic damage from extreme events must be developed in Russia. Article in Journal/Newspaper Arctic Siberia Geography, Environment, Sustainability (E-Journal) Kendall ENVELOPE(-59.828,-59.828,-63.497,-63.497)