Качество характеристик снежного покрова, полученных на основе реанализа ERA 5-Land для территории Пермского края
- Авторы: Крючков А.Д.1, Калинин Н.А.1, Сидоров И.А.1
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Учреждения:
- Пермский государственный национальный исследовательский университет
- Выпуск: Том 63, № 3 (2023)
- Страницы: 383-396
- Раздел: Снежный покров и снежные лавины
- URL: https://journals.eco-vector.com/2076-6734/article/view/659354
- EDN: https://elibrary.ru/KLPXPM
- ID: 659354
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Аннотация
Рассмотрены вопросы соответствия информации о среднемесячной высоте снега, содержащейся в реанализе ERA 5-Land, данным наблюдательной сети Пермского края. Показано, что ERA 5-Land завышает фактические значения этого параметра. В сезонном выражении максимумы снегонакопления в реанализе сдвинуты в сторону более раннего наступления, в межгодовом – ERA 5-Land в целом соответствует фактической изменчивости высоты снега.
Об авторах
А. Д. Крючков
Пермский государственный национальный исследовательский университет
Автор, ответственный за переписку.
Email: Candy55man@ya.ru
Россия, Пермь
Н. А. Калинин
Пермский государственный национальный исследовательский университет
Email: Candy55man@ya.ru
Россия, Пермь
И. А. Сидоров
Пермский государственный национальный исследовательский университет
Email: Candy55man@ya.ru
Россия, Пермь
Список литературы
- Astafurov V.G., Evsyutkin T.V., Kuryanovich K.V., Skorokhodov A.V. Statistical models of image texture and physical parameters of cloudiness during snow cover periods on the Russian Federation territory from MODIS data. Optika atmosfery i okeana Optics of the atmosphere and ocean 2018, 31 (7): 537–541. https://doi.org/10.15372/AOO20180706 [In Russian].
- Bulygina O.N., Razuvaev V.N., Aleksandrova T.M. Description of the data array characteristics of snow cover at meteorological stations in Russia and the former USSR" Certificate of state registration of the database No. 2014621201. Retrieved from: http://meteo.ru/data/165-snow-cover#opisanie-massiva-dannykh (Last access: 26 January 2023) [In Russian].
- Grigorev V.YU., Frolova N.L., Kireeva M.B., Stepanenko V.M. Spatial and temporal variability of ERA5 precipitation accuracy over Russia. Izvestiya RAN. Ser. geogr. Proc. of the RAS. Geographical series. 2022, 86 (3): 435–446. https://doi.org/10.31857/S2587556622030062 [In Rus- sian].
- Evseeva N.S., Petrov A.I., Kashiro M.A., Kvasnikova Z.N., Batmanova A.S., Khon A.V. Influence of the relief and vegetation on the distribution of the snow cover in the pools of small rivers. Geosfernye issledovaniya. Geospheric Research. 2017, 4: 64–74. https://doi.org/10.17223/25421379/5/6 [In Russian].
- Kazakova E.V. Yezhednevnaya otsenka lokal’nykh znacheniy i ob”yektivnyy analiz kharakteristik snezhnogo pokrova v ramkakh sistemy chislennogo prognoza pogody COSMO-Ru. Daily assessment of local values and objective analysis of snow cover characteristics in the framework of the COSMO-Ru numerical weather forecast system. PhD. Moscow: Hydrometeorol. scientific-research center of Russia. 2015: 181 p. [In Russian].
- Kalinin V.G., Shaydulina A.A., Rusakov V.S., Fasakhov M.A. Mathematical and geoinformation modeling of snowmelt process in the river drainage basins of the Kama region. Led I Sneg. Ice and Snow. 2022, 62 (1): 63–74. https://doi.org/10.31857/S2076673422010116 [In Russian].
- Kitaev L.M., Zheltukhin A.S., Korobov E.D., Ableeva V.A. Snow Cover: Characteristics of Local Distribution in Forests as Possible Source of Satellite Data Errors. Izvestiya RAN. Ser. geogr. Proc. of the RAS. Geographical series. 2020, 84 (6): 855–863. https://doi.org/10.31857/S2587556620060072 [In Rus- sian].
- Kitaev L.M., Titkova T.B., Turkov D.V. Accuracy of reproduction of interannual variability of snow storages of the East European Plain by satellite data illustrated by the example of the GLOBSNOW (SWE) product. Sovremennyie problemy distancionnogo zondirovaniya Zemli iz kosmosa. Current Problems in Remote Sensing of the Earth from Space, 2020, 17 (1): 164–175. https://doi.org/10.21046/2070-7401-2020-17-1-164-175 [In Russian].
- Korshunova N.N., Davletshin S.G., Arzhanova N.M. Variability of snow cover characteristics over the Russian territory. Fundamental’naya I Prikladnaya Klimatologiya. Fundamental and Аpplied Сlimatology. 2021, 7 (1): 80–100. https://doi.org/10.21513/2410-8758-2021-1-80-100 [In Russian].
- Kotova E.I. Assessment of factors influence on the composition of snow cover in the Russian Arctic. Uspehi Sovremennogo Estestvozmaniya. Advances in Current Natural Sciences. 2019, 10: 158–163. [In Russian].
- Kryuchkov A.D. Prostranstvenno-vremennoe raspredelenie harakteristik snezhnogo pokrova na territorii Permskogo kraya. Spatial and temporal distribution of snow cover characteristics on the territory of the Perm region. PhD. Perm: Perm State National Research University, 2021: 223 p. http://www.psu.ru/files/docs/science/dissertatsionnye-sovety/kryuchkov/disser.pdf [In Russian].
- Kryuchkov A.D., Istomina O.V. Snow cower dynamic on the territory of the Perm region in the 1988–2018. Vestnik Udmurtskogo Universiteta. Seriya Biologiya. Nauki o Zemle. Bulletin of Udmurt University. Series Biology. Earth Sciences. 2019, 29 (2): 243–251 [In Russian].
- Kryuchkov A.D., Kalinin N.А. Comparison of snow cover characteristics according to meteorological stations and ERA 5-Land reanalysis in the Perm Region. Gidrometeorologicheskiye Issledovaniya i Prognozy. Hydrometeorological Research and Forecasting. 2021, 2 (380): 95–110. https://doi.org/10.37162/2618-9631-2021-2-95-110 [In Russian].
- Kurakina N.I., Mikhaylova A.A. Cartographic modelling of snow cover in geographic information system technology. Izvestia SPbETU “LETI”. Proc. of Saint Petersburg Electrotechnical University. 2020, 1: 23–27 [In Russian].
- Martynova Yu.V., Matyukhina A.A., Voropay N.N., Krupchatnikov V.N. Features of the snow cover formation in Siberia and the relationship with the atmospherics dynamics anomalies in the Northern Hemisphere. Ekologiya. Ekonomika. Informatika. Seriya: Sistemnyj analiz i modelirovanie ekonomicheskih i ekologicheskih system. Ecology. Economy. Computer science. Series: System analysis and modeling of economic and ecological systems. 2021, 1 (6): 118–125. https://doi.org/10.23885/2500-395X-2021-1-6-118-125 [In Russian].
- Meteorological monthly guide. Ural’skoe UGMS. Ural UGMS. 1990–2020, 9 (2): 1–5, 10–13. [In Russian].
- Popova V.V., Morozova P.A., Titkova T.B., Semenov V.A., Cherenkova E.A., Shiryaeva A.V., Kitaev L.M. Regional features of present winter snow accumulation variability in the North Eurasia from data of observations, reanalysis and satellites. Led i Sneg. Ice and Snow. 2015, 55 (4): 73–86. https://doi.org/10.15356/2076-6734-2015-4-73-86 [In Russian].
- Sidorov I.A. Verification of snow cover characteristics according to the ERA 5-LAND reanalysis and observation points of Perm region for 1990-2020. Geograficheskoe izuchenie territorial’nyh sistem: Sbornik materialov HVI Vserossijskoj nauchno-prakticheskoj konferencii studentov, aspirantov i molodyh uchyonyh, Perm’, 13 maya 2022 goda. Geographical Research of Territorial Systems: Collection of materials of the XVI All-Russian Scientific and Practical Conference students, graduate students and young scientists (May 13, 2022). Perm: Perm State University. 2022: 160–164 [In Russian].
- Sidorov I.A. Comparative analysis of snow cover characteristics according to hydrometeorological stations and posts on the territory of the perm region Geographical Research of Territorial Systems: Collection of materials of the XV All-Russian Scientific and Practical Conference students, graduate students and young scientists (May 11–12, 2021). Perm: Perm State University. 2021: 181–185 [In Russian].
- Turkov D.V., Sokratov V.S. Calculating of snow cover characteristics on a plain territory using the model SPONSOR and data of reanalyses (by the example of Moscow region). Led i Sneg. Ice and Snow. 2016, 56 (3): 369–380. https://doi.org/10.15356/2076-6734-2016-3-369-380 [In Russian].
- Turkov D.V., Sokratov V.S., Titkova T.B. Snow cover of Western Siberia according to calculations based on the SPONSOR model of local heat and moisture exchange and reanalysis data. Atmospheric and oceanic optics. Atmospheric physics: Proc. of the XXIII International Symposium. Irkutsk: V.E. Zuev Institute of Atmospheric Optics of Siberian Branch of the Russian Academy of Science. 2017: 391–395 [In Russian].
- Khan V.M., Rubinshtein K.G., Shmakin A.B. Comparison of seasonal and interannual variability of snow cover in Russian watersheds according to observations and reanalyses. Izvestiya RAN. Fizika atmosfery i okeana. Proc. of the RAS. Physics of the atmosphere and ocean. 2007, 43 (1): 59–69 [In Russian].
- Churiulin E.V., Kopeykin V.V., Rozinkina I.A., Frolova N.L., Churiulina A.G. Analysis of snow cover characteristics by satellite and model data for different catchment areas are located on the territory of the Russian Federation. Gidrometeorologicheskiye Issledovaniya i Prognozy. Hydrometeorological Research and Forecasting. 2018, 2 (368): 120–143 [In Russian].
- Shikhov A.N., Chernykh V.N., Ayurzhanaev A.A., P’yankov S.V. Calculation of snow accumulation in the Selenga river basin based on data from global numerical models of the atmosphere with verification by satellite data. Materialy 20 Mezhdunarodnoi konferencii “Sovremennyie problemy distancionnogo zondirovaniya Zemli iz kosmosa”. Moskow: Space Research Institute RAS. 2022: 124 p. https://doi.org/10.21046/20DZZconf-2022a [In Russian].
- Era 5-Land. Climate Data Store. Copernicus Climate Change Service. Retrieved from: https://cds.climate.copernicus.eu/cdsapp#!/home (Last access: 23 January 2023).
- Kunkel K.E., Robinson D.A., Champion S., Yin X., Estilow T., Frankson R.M. Trends and extremes in Northern Hemisphere snow characteristics. Current Climate Change Report. 2016, 2: 65–73.
- Kouki K., Luojus K., Riihelä A. Evaluation of snow cover properties in ERA5 and ERA5-Land with several satellite-based datasets in the Northern Hemisphere in spring 1982–2018. The Cryosphere Discuss. [preprint]. 2023. https://doi.org/10.5194/tc-2023-53
- Pelosi A., Terribile F., D’Urso G., and Chirico, G.B. Comparison of ERA5-Land and UERRA MESCAN-SURFEX reanalysis data with spatially interpolated weather observations for the regional assessment of reference evapotranspiration. Water. 2020, 12 (6): 1669.
- Sheffield J., Goteti G., Wood E.F. Development of a 50-year high-resolution global dataset of meteorological forcings for land surface modeling. Journ. of Climatology. 2006, 19: 3088–3111.
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