Impact of snowfall measurement deficiencies on quantification of precipitation and its trends over Northern Eurasia

Instead of «ground truth» precipitation, rain gauges at meteorological stations estimate a function of several variables. In addition to precipitation, these variables include temperature, wind, humidity, gauge type, state of the gauge exposure, and observational practices. Their impact and changes...

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Published in:Ice and Snow
Main Authors: P. Groisman Ya., E. Bogdanova G., V. Alexeev A., J. Cherry E., O. Bulygina N., П. Гройсман Я., Е. Богданова Г., В. Алексеев А., Ж. Черри Е., О. Булыгина Н.
Format: Article in Journal/Newspaper
Language:Russian
Published: IGRAS 2015
Subjects:
Вiases in precipitation measurements;homogeneity of precipitation time series;Northern Eurasia snowfall;trends
Однородность временных рядов осадков;Северная Евразия;смещение в измерениях осадков;твёрдые атмосферные осадки;тренды
Arctic
Online Access:https://ice-snow.igras.ru/jour/article/view/39
https://doi.org/10.15356/2076-6734-2014-2-29-43
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collection Ice and Snow (E-Journal)
op_collection_id ftjias
language Russian
topic Вiases in precipitation measurements;homogeneity of precipitation time series;Northern Eurasia snowfall;trends
Однородность временных рядов осадков;Северная Евразия;смещение в измерениях осадков;твёрдые атмосферные осадки;тренды
spellingShingle Вiases in precipitation measurements;homogeneity of precipitation time series;Northern Eurasia snowfall;trends
Однородность временных рядов осадков;Северная Евразия;смещение в измерениях осадков;твёрдые атмосферные осадки;тренды
P. Groisman Ya.
E. Bogdanova G.
V. Alexeev A.
J. Cherry E.
O. Bulygina N.
П. Гройсман Я.
Е. Богданова Г.
В. Алексеев А.
Ж. Черри Е.
О. Булыгина Н.
Impact of snowfall measurement deficiencies on quantification of precipitation and its trends over Northern Eurasia
topic_facet Вiases in precipitation measurements;homogeneity of precipitation time series;Northern Eurasia snowfall;trends
Однородность временных рядов осадков;Северная Евразия;смещение в измерениях осадков;твёрдые атмосферные осадки;тренды
description Instead of «ground truth» precipitation, rain gauges at meteorological stations estimate a function of several variables. In addition to precipitation, these variables include temperature, wind, humidity, gauge type, state of the gauge exposure, and observational practices. Their impact and changes hamper our efforts to estimate precipitation changes alone. For example, wind-induced negative biases for snowfall measurements are higher than for other precipitation types and a redistribution of these types during regional warming can cause an artificial increase in measured precipitation. In such conditions, the only way to properly estimate actual climatic changes of precipitation would be a use of precipitation time series that are corrected for all known systematic biases. Methodology of such corrections has been developed and recently implemented for Northern Eurasia for the past 50+ years (up to 2010). With the focus on Russia, we assess differences that emerge when officially reported precipitation in the cold season is compared to corrected precipitation time series at the same network. It is shown that conclusions about trend patterns over the country are quite different when all sources of inhomogeneity of precipitation time series are removed and impact of all factors unrelated to the precipitation process are accounted for. In particular, we do not see statistically significant increases of the cold season precipitation over most of the Russian Federation and in Arctic Asia it significantly decreases. В статье анализируются результаты применения методики полной корректировки срочных осадков относительно станционных данных по осадкам бывшего СССР с приоритетом на территорию России, для которой временные ряды дополнены по 2010 г. Эти результаты сравниваются с измеренными показаниями осадкомеров на тех же станциях, что позволяет оценить различия в средних значениях (климатологии) и систематических изменениях (трендах) осадков по территории бывшего СССР (Российской Федерации).Показано, что измеренные и ...
format Article in Journal/Newspaper
author P. Groisman Ya.
E. Bogdanova G.
V. Alexeev A.
J. Cherry E.
O. Bulygina N.
П. Гройсман Я.
Е. Богданова Г.
В. Алексеев А.
Ж. Черри Е.
О. Булыгина Н.
author_facet P. Groisman Ya.
E. Bogdanova G.
V. Alexeev A.
J. Cherry E.
O. Bulygina N.
П. Гройсман Я.
Е. Богданова Г.
В. Алексеев А.
Ж. Черри Е.
О. Булыгина Н.
author_sort P. Groisman Ya.
title Impact of snowfall measurement deficiencies on quantification of precipitation and its trends over Northern Eurasia
title_short Impact of snowfall measurement deficiencies on quantification of precipitation and its trends over Northern Eurasia
title_full Impact of snowfall measurement deficiencies on quantification of precipitation and its trends over Northern Eurasia
title_fullStr Impact of snowfall measurement deficiencies on quantification of precipitation and its trends over Northern Eurasia
title_full_unstemmed Impact of snowfall measurement deficiencies on quantification of precipitation and its trends over Northern Eurasia
title_sort impact of snowfall measurement deficiencies on quantification of precipitation and its trends over northern eurasia
publisher IGRAS
publishDate 2015
url https://ice-snow.igras.ru/jour/article/view/39
https://doi.org/10.15356/2076-6734-2014-2-29-43
geographic Arctic
geographic_facet Arctic
genre Arctic
Arctic
genre_facet Arctic
Arctic
op_source Ice and Snow; Том 54, № 2 (2014); 29-43
Лёд и Снег; Том 54, № 2 (2014); 29-43
2412-3765
2076-6734
10.15356/2076-6734-2014-2
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https://ice-snow.igras.ru/jour/article/view/39
doi:10.15356/2076-6734-2014-2-29-43
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spelling ftjias:oai:oai.ice.elpub.ru:article/39 2023-05-15T14:28:13+02:00 Impact of snowfall measurement deficiencies on quantification of precipitation and its trends over Northern Eurasia Влияние погрешности в измерениях снегопадов на суммы атмосферных осадков и их тренды по Северной Евразии P. Groisman Ya. E. Bogdanova G. V. Alexeev A. J. Cherry E. O. Bulygina N. П. Гройсман Я. Е. Богданова Г. В. Алексеев А. Ж. Черри Е. О. Булыгина Н. 2015-03-26 https://ice-snow.igras.ru/jour/article/view/39 https://doi.org/10.15356/2076-6734-2014-2-29-43 ru rus IGRAS Alisov B.P. Klimat SSSR. Climate of the USSR. Moscow: Moscow State University, 1956: 127 p. [In Russian]. Baranova A.A., Golod M.P., Meshcherskaya A.V. Changes of graduated wind velocities at the Russian territory during the second half of XX century. Trudy GGO. Proc. of the Main Geophysical Observatory. 2006, 556: 116–138. [In Russian]. Bogdanova E.G., Golubev V.S., Il’in B.M., Dragomilova I.V. New model for correction of measured precipitation and its application for Polar Regions of Russian Federation. Meteorologiya i gidrologiya. Meteorology and Hydrology. 2002, 10: 68–93. [In Russian]. Bogdanova E.G., Il’in B.M., Gavrilova S.Yu. Modern methods for correction of measured precipitation and results of its application in Polar Regions of Russia and North America. Meteorologiya i gidrologiya. Meteorology and Hydrology. 2007, 4: 21–34. [In Russian]. Bogdanova E.G., Gavrilova S.Yu. Removal of heterogeneity in the time series of precipitation induced by changes of rain gauge with Nifer protection for the Tret’yakov rain gauge. Meteorologiya i gidrologiya. Meteorology and Hydrology. 2008, 8: 87–102. [In Russian]. Bogdanova E.G., Gavrilova S.Yu., Il’in B.M. Temporal changing of atmospheric precipitation at the Russian territory according to the corrected data for the period 1936–2000. Meteorologiya i gidrologiya. Meteorology and Hydrology. 2010, 10: 78–89. [In Russian]. Bulygina O.N., Korshunova N.N., Razuvaev V.N. Changing of wind regime at the territory of Russia for the last decades. Trudy GGO. Proc. of the Main Geophysical Observatory. 2013, 568: 156–172 [available at: http://voeikovmgo.ru/images/stories/publications/568.pdf]. [In Russian]. Vannari P.I. The net of meteorological stations in Russia and other countries. Sankt-Petersburg, 1911, 47: 51–64. [In Russian]. Golubev V.S., Konovalov D.A., Simonenko A.Yu., Tovmach Yu.V. Correction of precipitation measuring and evaluation their quality according to the data of Valdai hydrological station. Meteorologiya i gidrologiya. Meteorology and Hydrology. 1999, 1: 103–113. [In Russian]. Golubev V.S., Konovalov D.A., Bogdanova E.G., Il’in B.M. Complete model of correction the rain gauge data; method and algorithm of evaluation the systematic composition of mistake. WMO. Report № 74. WMO/TD. 2000, 1028: 136–139. Doklad ob osobennostyakh klimata na territorii Rossiyskoy Federatsii. Report on climate peculiarities at the territory of Russian Federation in 2012 (chapter “Snow cover in the winter 2011/12”). Moscow: Roshydromet, 2013: 32–41. [In Russian]. Meshcherskaya A.V., Eremin V.V., Baranova A.A., Maistrova V.V. Changing of wind velocity at the Russian North in the second half of XX century according to surface and aerology data. Meteorologiya i gidrologiya. Meteorology and Hydrology. 2006, 9: 46–58. [In Russian]. Mirovoy vodnyi balans i vodnye resursy Zemli. World water balance and Earth water resources. Ed. V.I. Korzun. Leningrad: Hydrometeoizdat, 1974: 638 p. [In Russian]. Ostenochnyi doklad ob izmeneniyakh klimata i ikh posledstviyakh na territorii Rossiyskoy Federatsii. Evaluation report about climate changes and sequences at the territory of Russian Federation. V. 1. Climate changing. Moscow: Roshydromet, 2008: 227 p. [In Russian]. Shver Ts.A. Atmosfernye osadki na territirii SSSR. Precipitation at the USSR territory. Leningrad: Gidrometeoizdat. Leningrad: Hydrometeoizdat, 1976: 302 p. [In Russian]. Arctic Climate Impact Assessment (ACIA), Chapter 2 «Arctic Climate System and its Global Role». Arctic Climate Impact Assessment, «Impact of a Warming Arctic», Cambridge University Press, 2005: 144 p. Bogdanova E.G, Ilyin B.M., Dragomilova I.V. Application of a comprehensive bias correction model to precipitation measured at Russian North Pole drifting stations. Journ. of Hydrometeorol. 2002, 3: 700–713. Bulygina O.N., Groisman P.Ya., Razuvaev V.N., Korshunova N.N. Changes of snow cover characteristics over the Russian Federation since 1966. Environmental Research Letters. 2011, 6. 045204 (10 pp). doi:10.1088/1748-9326/6/4/045204. Bulygina O.N., Veselov V.M., Razuvaev V.N., Aleksandrova T.M. Dataset of hourly meteorological variables observed at the Russian meteorological network, 2012: http://meteo.ru/english/climate/descrip12.htm or http://meteo.ru/data/163-basic-parameters Callaghan T.V., Johansson М., Brown R.D., Groisman P.Ya., Labba N., Radionov V.V, Barry R., Bulygina O.N., Essery R.I.H., Frolov D., Golubev V.N., Grenfell T., Petrushina M., Razuvaev V.N., Robinson D.A., Romanov P., Shindell D., Shmakin A.B., Sokratov S., Warren S., Yang D. The changing face of Arctic snow cover: A synthesis of observed and projected changes. Ambio. 2011, 40. Suppl. 1: 17–31. Callaghan T.V., Johansson M., Brown R.D., Groisman P.Ya., Labba N, Radionov V.V., Bradley R.S., Blangy S., Bulygina O.N., Christensen T., Colman J.E., Essery R.L.H., Forbes B.C., Forchhammer M.C., Golubev V.N., Honrath R.E., Juday G.P., Meshcherskaya A.V., Phoenix G.K., Pomeroy J., Rautio A., Robinson D.A., Schmidt N.M., Serreze M.C., Shevchenko V.P., Shiklomanov A.I., Shmakin A.B., Skold P., Sturm M., Woo M., Wood E.F. Multiple effects of changes in Arctic snow cover. Ambio. 2011; 40. Suppl. 1: 32–45. Førland E.J., Hanssen-Bauer I. Increased precipitation in the Norwegian Arctic: True or false? Climate Change. 2000, 46: 485–509. Goodison B.E., Louie P.Y.T., Yang D. WMO solid precipitation intercomparison. Final Report. World Meteorol. Organ., Instruments and Observing Methods Rep. 67, WMO/TD 872, 1998. 87 p. + Annexes. Groisman P.Ya., Rankova E.Ya. Precipitation trends over the Russian permafrost-free zone: removing the artifacts of pre-processing. Internat. 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Archive is available from the Voeikov Main Geophysical Observatory, 7 Karbysheva Street, St. Petersburg, 194021, Russia. 2013. https://ice-snow.igras.ru/jour/article/view/39 doi:10.15356/2076-6734-2014-2-29-43 Authors who publish with this journal agree to the following terms:Authors retain copyright and grant the journal 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 are able to 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 acknowledgement 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). 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CC-BY Ice and Snow; Том 54, № 2 (2014); 29-43 Лёд и Снег; Том 54, № 2 (2014); 29-43 2412-3765 2076-6734 10.15356/2076-6734-2014-2 Вiases in precipitation measurements;homogeneity of precipitation time series;Northern Eurasia snowfall;trends Однородность временных рядов осадков;Северная Евразия;смещение в измерениях осадков;твёрдые атмосферные осадки;тренды info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2015 ftjias https://doi.org/10.15356/2076-6734-2014-2-29-43 https://doi.org/10.15356/2076-6734-2014-2 https://doi.org/10.1088/1748-9326/6/4/045204 https://doi.org/10.1088/1748-9326/4/4/045002 https://doi.org/10.1175/JCLI-D-12-00777.1 https://doi.org/10.3354 2022-12-20T13:29:52Z Instead of «ground truth» precipitation, rain gauges at meteorological stations estimate a function of several variables. In addition to precipitation, these variables include temperature, wind, humidity, gauge type, state of the gauge exposure, and observational practices. Their impact and changes hamper our efforts to estimate precipitation changes alone. For example, wind-induced negative biases for snowfall measurements are higher than for other precipitation types and a redistribution of these types during regional warming can cause an artificial increase in measured precipitation. In such conditions, the only way to properly estimate actual climatic changes of precipitation would be a use of precipitation time series that are corrected for all known systematic biases. Methodology of such corrections has been developed and recently implemented for Northern Eurasia for the past 50+ years (up to 2010). With the focus on Russia, we assess differences that emerge when officially reported precipitation in the cold season is compared to corrected precipitation time series at the same network. It is shown that conclusions about trend patterns over the country are quite different when all sources of inhomogeneity of precipitation time series are removed and impact of all factors unrelated to the precipitation process are accounted for. In particular, we do not see statistically significant increases of the cold season precipitation over most of the Russian Federation and in Arctic Asia it significantly decreases. В статье анализируются результаты применения методики полной корректировки срочных осадков относительно станционных данных по осадкам бывшего СССР с приоритетом на территорию России, для которой временные ряды дополнены по 2010 г. Эти результаты сравниваются с измеренными показаниями осадкомеров на тех же станциях, что позволяет оценить различия в средних значениях (климатологии) и систематических изменениях (трендах) осадков по территории бывшего СССР (Российской Федерации).Показано, что измеренные и ... Article in Journal/Newspaper Arctic Arctic Ice and Snow (E-Journal) Arctic Ice and Snow 126 2 29

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