The influence of global atmospheric oscillation on formation of climate anomalies in the Russian Far East

Byshev, V. I.; Neiman, V. G.; Пономарев, В. И.; Romanov, Yu. A.; Serykh, I. V.; Tsurikova, T. V.

doi:10.1134/s1028334x14090025

Cited by 19 publications

(5 citation statements)

References 11 publications

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“…Obviously, this is de fined by the reg u lar i ties of global at mo spheric cir cu la tion and by lo cal weather con di tions, that is, long dry pe ri ods with high air tem per a ture and pre cip i ta tion lack. In gen eral, the in crease in the num ber of wildfires within the local ter ri tory [8] de pends on the typ i cal sta ble an ti cy clonic pro cesses [2,7] whose du ra tion af fects the seasonal dy nam ics of PV-1. This is typ i cal of both Siberia [3,12] and the other re gions of the world [19].…”

Section: Resultsmentioning

confidence: 99%

“…The in flu ence of weather con di tions on the for ma tion of ex treme fire re gimes is an ur gent prob lem. The for ma tion of ex treme fire pe ri ods in the dif fer ent re gions of the world is caused by the ef fect of block ing anti cy clones [1,22] and by the anom a lies of global at mo spheric cir cu la tion [2,7,14,19,21]. At the same time, the for ma tion of con di tions for gen er a tion and re cur rence of mass and/or ex treme fires in Si be ria has been in ves ti gated in suf fi ciently.…”

Section: Introductionmentioning

confidence: 99%

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Wildfire Occurrence in Siberia and Seasonal Variations in Heat and Moisture Supply

Пономарев

Skorobogatova

Ponomareva

2018

Russ. Meteorol. Hydrol.

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Subregional occurrence of fires in Siberian forests and seasonal variations in heat and moisture supply are analyzed. Instrumental data on wildfires registered through satellite monitoring data for the period of 1996-2016 are used. The dynamics of the weather fire danger index (PV-1) and intraseasonal anomalies of the Selyaninov's hydrothermal coefficient (HTC) defining fire occurrence variation are revealed using meteorological data series for the Siberian subregions. The statistical regularities of the dynamics of the weather fire danger index are summarized for subregions. The separated scenarios are formalized by model functions. The projections of the probability of the scenarios' implementation, the fire return period, and the respective relative burned area are determined.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Wildfire Occurrence in Siberia and Seasonal Variations in Heat and Moisture Supply

Пономарев

Skorobogatova

Ponomareva

2018

Russ. Meteorol. Hydrol.

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“…They showed that the relationship strengthened considerably after 1980 and that El Niño events in the Eastern Pacific were increasingly clearly associated with negative temperature anomalies, and La Niña with positive temperature anomalies in summer in the western Russian Federation. In the southern part of the Russian Federation Far East, El Niños under certain global atmosphere oscillation (GAO) conditions lead to reduced air temperatures and precipitation during winter months, and decreased precipitation but slightly increased air temperatures in summer (Byshev et al, 2014). There is little evidence that ENSO affects river discharge in the region (Lee, Ward and Block, 2018;Ward et al, 2010) beyond the extreme north of the Russian Federation Far East where maximum river discharge was positively correlated with the SOI, i.e.…”

Section: Eastern Europementioning

confidence: 99%

El Niño Southern Oscillation (ENSO) effects on fisheries and aquaculture

Bertrand

Lengaigne

Takahashi³

et al. 2020

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The designations employed and the presentation of material in this information product do not imply the expression of any opinion whatsoever on the part of the Food and Agriculture Organization of the United Nations (FAO) concerning the legal or development status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. Dashed lines on maps represent approximate border lines for which there may not yet be full agreement. The mention of specific companies or products of manufacturers, whether or not these have been patented, does not imply that these have been endorsed or recommended by FAO in preference to others of a similar nature that are not mentionedThe views expressed in this information product are those of the author(s) and do not necessarily reflect the views or policies of FAO.

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“…В работах (Byshev et al, 2014;Serykh and Sonechkin, 2020;Serykh and Sonechkin, 2021a) показано, что ЭНЮК является элементом глобальной атмосферной осцилляции (ГАО). На ГАО оказывают влияние следующие внешние квазипериодические силы: годовой ход поступления тепла от Солнца; чандлеровское колебание полюсов Земли, период действия которого составляет около 14 месяцев; 11-летнее изменение солнечной активности; лунно-солнечная нутация оси вращения Земли, имеющая период в 18.6 лет .…”

Section: Introductionunclassified

Link of ENSO and Southern Annular Mode as elements of Global Atmospheric Oscillation

Serykh¹,

Сонечкин²

2022

Vestnik SPbSU. Earth Sciences

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Based on the monthly average data of NCEP/NCAR Reanalysis, using a specially developed technique, the interannual variability of the sea level pressure (SLP) anomalies associated with the Global Atmospheric Oscillation (GAO) for the period 1950-2021 was studied. The field of mean deviations of the SLP anomalies during the El Niño – Southern Oscillation (ENSO) from the interannual GAO variability has been calculated. It is shown that the variability of the SLP anomalies during the GAO contains, in addition to the mode associated with the ENSO, also the mode of interannual climatic variability associated with the Antarctic Oscillation (AAO) – the Southern Annular Mode (SAM). It was found that the GAO does not include a part of the SLP anomaly variability associated with El Niño and La Niña events of the Central Pacific type. At all other grid nodes, the field of mean deviations of the SLP anomalies in the ENSO from the GAO has SLP differences slightly different from zero and formally statistically insignificant. This means that in the interannual climatic variability of the SLP associated with the GAO, there are only two modes: ENSO and SAM. With the help of cross-wavelet analysis, the relationships between the ENSO and SAM indices were studied. Negative relationships were found between these indices on fluctuation periods of about 11 years. An analysis of the time series of these indices and the time series of total solar irradiance (TSI) made it possible to put forward a hypothesis about the influence of synchronization and desynchronization of quasi-11-year changes in solar activity and ENSO on the weakening and strengthening of negative relationships between ENSO and SAM at periods of oscillations of about 11 years.

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The influence of global atmospheric oscillation on formation of climate anomalies in the Russian Far East

Cited by 19 publications

References 11 publications

Wildfire Occurrence in Siberia and Seasonal Variations in Heat and Moisture Supply

Wildfire Occurrence in Siberia and Seasonal Variations in Heat and Moisture Supply

El Niño Southern Oscillation (ENSO) effects on fisheries and aquaculture

Link of ENSO and Southern Annular Mode as elements of Global Atmospheric Oscillation

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