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The Tosontsengel Mongolia world record sea-level pressure extreme: spatial analysis of elevation bias in adjustment-to-sea-level pressures

  • Identification data

    Identifier: imarina:3673221
    Authors:
    Purevjav, GomboluudevBalling, Robert C., Jr.Cerveny, Randall S.Allan, RobCompo, Gilbert P.Jones, PhilipPeterson, Thomas C.Brunet, ManolaDriouech, FatimaStella, Jose LuisSvoma, Bohumil M.Krahenbuhl, DanielVose, Russell S.Yin, Xungang
    Abstract:
    A World Meteorological Organization (WMO) committee evaluated the record sea-level pressure (SLP) measurement of 1089.4hPa on 30 December 2004 in Tosontsengel, Mongolia (1724.6m). Although instrumentation and data collection procedures were properly followed according to the assessment of the committee, concern was raised regarding the reliability of SLP adjustment from such a high-elevation station. This paper addresses this concern with a number of analyses that look at relationships between SLP extremes and corresponding station elevation and temperature. First, we selected data from stations extracted from the Integrated Surface Database (ISD-Lite) of NOAA's National Climate Data Center. A spatial analysis indicates that elevation shows little to no association (R2 values essentially zero) to extreme SLP. However, a second analysis between extreme SLP and air temperature indicates that high regionalism exists in spatial correlations (local R2) between those two variables. This relationship to temperature is likely the result of differences in SLP adjustment formulae used around the world. Based on this analysis, on the need to differentiate the SLP values adjusted using extremely cold temperatures (and generally high elevation), and following past WMO SLP guidelines, the WMO Rapporteurs for Climate and Weather Extremes therefore have created two distinct SLP records: (a) highest adjusted SLP (below 750m), currently 1083.3hPa recorded on 31 December 1968 at Agata, Evenhiyskiy, Russia; and (b) highest adjusted SLP (above 750m), currently 1089.4hPa (by Russian method; 1089.1hPa by WMO formula) on 30 December 2004 in Tosontsengel, Mongolia. Future WMO guidance regarding SLP adjustment may lead to re-evaluation of this and other SLP records.
  • Others:

    Author, as appears in the article.: Purevjav, Gomboluudev; Balling, Robert C., Jr.; Cerveny, Randall S.; Allan, Rob; Compo, Gilbert P.; Jones, Philip; Peterson, Thomas C.; Brunet, Manola; Driouech, Fatima; Stella, Jose Luis; Svoma, Bohumil M.; Krahenbuhl, Daniel; Vose, Russell S.; Yin, Xungang
    Department: Geografia
    URV's Author/s: Brunet India, Manuela Catalina
    Keywords: Sea-level pressure Sea level pressure Mongolia Extreme Computation
    Abstract: A World Meteorological Organization (WMO) committee evaluated the record sea-level pressure (SLP) measurement of 1089.4hPa on 30 December 2004 in Tosontsengel, Mongolia (1724.6m). Although instrumentation and data collection procedures were properly followed according to the assessment of the committee, concern was raised regarding the reliability of SLP adjustment from such a high-elevation station. This paper addresses this concern with a number of analyses that look at relationships between SLP extremes and corresponding station elevation and temperature. First, we selected data from stations extracted from the Integrated Surface Database (ISD-Lite) of NOAA's National Climate Data Center. A spatial analysis indicates that elevation shows little to no association (R2 values essentially zero) to extreme SLP. However, a second analysis between extreme SLP and air temperature indicates that high regionalism exists in spatial correlations (local R2) between those two variables. This relationship to temperature is likely the result of differences in SLP adjustment formulae used around the world. Based on this analysis, on the need to differentiate the SLP values adjusted using extremely cold temperatures (and generally high elevation), and following past WMO SLP guidelines, the WMO Rapporteurs for Climate and Weather Extremes therefore have created two distinct SLP records: (a) highest adjusted SLP (below 750m), currently 1083.3hPa recorded on 31 December 1968 at Agata, Evenhiyskiy, Russia; and (b) highest adjusted SLP (above 750m), currently 1089.4hPa (by Russian method; 1089.1hPa by WMO formula) on 30 December 2004 in Tosontsengel, Mongolia. Future WMO guidance regarding SLP adjustment may lead to re-evaluation of this and other SLP records.
    Research group: Centre en Canvi Climàtic (C3)
    Thematic Areas: Planejamento urbano e regional / demografia Meteorology & atmospheric sciences Interdisciplinar Geociências Engenharias iii Engenharias i Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência da computação Biodiversidade Atmospheric science
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 08998418
    Author's mail: manola.brunet@urv.cat
    Author identifier: 0000-0002-9386-710X
    Record's date: 2024-09-07
    Papper version: info:eu-repo/semantics/acceptedVersion
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: International Journal Of Climatology. 35 (10): 2968-2977
    APA: Purevjav, Gomboluudev; Balling, Robert C., Jr.; Cerveny, Randall S.; Allan, Rob; Compo, Gilbert P.; Jones, Philip; Peterson, Thomas C.; Brunet, Manola (2015). The Tosontsengel Mongolia world record sea-level pressure extreme: spatial analysis of elevation bias in adjustment-to-sea-level pressures. International Journal Of Climatology, 35(10), 2968-2977. DOI: 10.1002/joc.4186
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2015
    Publication Type: Journal Publications
  • Keywords:

    Atmospheric Science,Meteorology & Atmospheric Sciences
    Sea-level pressure
    Sea level pressure
    Mongolia
    Extreme
    Computation
    Planejamento urbano e regional / demografia
    Meteorology & atmospheric sciences
    Interdisciplinar
    Geociências
    Engenharias iii
    Engenharias i
    Ciências biológicas i
    Ciências ambientais
    Ciências agrárias i
    Ciência da computação
    Biodiversidade
    Atmospheric science
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