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

  • Datos identificativos

    Identificador: imarina:3673221
    Autores:
    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
    Resumen:
    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.
  • Otros:

    Autor según el artículo: 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
    Departamento: Geografia
    Autor/es de la URV: Brunet India, Manuela Catalina
    Palabras clave: Sea-level pressure Sea level pressure Mongolia Extreme Computation
    Resumen: 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.
    Grupo de investigación: Centre en Canvi Climàtic (C3)
    Áreas temáticas: 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
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 08998418
    Direcció de correo del autor: manola.brunet@urv.cat
    Identificador del autor: 0000-0002-9386-710X
    Fecha de alta del registro: 2024-09-07
    Versión del articulo depositado: info:eu-repo/semantics/acceptedVersion
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: International Journal Of Climatology. 35 (10): 2968-2977
    Referencia de l'ítem segons les normes 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
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2015
    Tipo de publicación: Journal Publications
  • Palabras clave:

    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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