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Average monthly and annual climate maps for Bolivia

  • Datos identificativos

    Identificador: imarina:5130434
    Autores:
    Vicente-Serrano S, El Kenawy A, Azorin-Molina C, Chura O, Trujillo F, Aguilar E, Martín-Hernández N, López-Moreno J, Sanchez-Lorenzo A, Moran-Tejeda E, Revuelto J, Ycaza P, Friend F
    Resumen:
    This study presents monthly and annual climate maps for relevant hydroclimatic variables in Bolivia. We used the most complete network of precipitation and temperature stations available in Bolivia, which passed a careful quality control and temporal homogenization procedure. Monthly average maps at the spatial resolution of 1 km were modeled by means of a regression-based approach using topographic and geographic variables as predictors. The monthly average maximum and minimum temperatures, precipitation and potential exoatmospheric solar radiation under clear sky conditions are used to estimate the monthly average atmospheric evaporative demand by means of the Hargreaves model. Finally, the average water balance is estimated on a monthly and annual scale for each 1 km cell by means of the difference between precipitation and atmospheric evaporative demand. The digital layers used to create the maps are available in the digital repository of the Spanish National Research Council.
  • Otros:

    Autor según el artículo: Vicente-Serrano S, El Kenawy A, Azorin-Molina C, Chura O, Trujillo F, Aguilar E, Martín-Hernández N, López-Moreno J, Sanchez-Lorenzo A, Moran-Tejeda E, Revuelto J, Ycaza P, Friend F
    Departamento: Geografia
    Autor/es de la URV: Aguilar Anfrons, Enrique Modesto
    Palabras clave: Water balance Temperature Regression-based interpolation Precipitation Bolivia Atmospheric water demand
    Resumen: This study presents monthly and annual climate maps for relevant hydroclimatic variables in Bolivia. We used the most complete network of precipitation and temperature stations available in Bolivia, which passed a careful quality control and temporal homogenization procedure. Monthly average maps at the spatial resolution of 1 km were modeled by means of a regression-based approach using topographic and geographic variables as predictors. The monthly average maximum and minimum temperatures, precipitation and potential exoatmospheric solar radiation under clear sky conditions are used to estimate the monthly average atmospheric evaporative demand by means of the Hargreaves model. Finally, the average water balance is estimated on a monthly and annual scale for each 1 km cell by means of the difference between precipitation and atmospheric evaporative demand. The digital layers used to create the maps are available in the digital repository of the Spanish National Research Council.
    Grupo de investigación: Centre en Canvi Climàtic (C3)
    Áreas temáticas: Interdisciplinar Geography, planning and development Geography, physical Geography Geografia i urbanisme Geografía Geociências Earth and planetary sciences (miscellaneous) Ciencias sociales Antropologia / arqueologia
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 17445647
    Direcció de correo del autor: enric.aguilar@urv.cat
    Identificador del autor: 0000-0002-8384-377X
    Fecha de alta del registro: 2024-09-07
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Enlace a la fuente original: https://www.tandfonline.com/doi/full/10.1080/17445647.2015.1014940
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Journal Of Maps. 12 (2): 295-310
    Referencia de l'ítem segons les normes APA: Vicente-Serrano S, El Kenawy A, Azorin-Molina C, Chura O, Trujillo F, Aguilar E, Martín-Hernández N, López-Moreno J, Sanchez-Lorenzo A, Moran-Tejeda E (2016). Average monthly and annual climate maps for Bolivia. Journal Of Maps, 12(2), 295-310. DOI: 10.1080/17445647.2015.1014940
    DOI del artículo: 10.1080/17445647.2015.1014940
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2016
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Earth and Planetary Sciences (Miscellaneous),Geography,Geography, Physical,Geography, Planning and Development
    Water balance
    Temperature
    Regression-based interpolation
    Precipitation
    Bolivia
    Atmospheric water demand
    Interdisciplinar
    Geography, planning and development
    Geography, physical
    Geography
    Geografia i urbanisme
    Geografía
    Geociências
    Earth and planetary sciences (miscellaneous)
    Ciencias sociales
    Antropologia / arqueologia
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