Articles producció científica> Geografia

Average monthly and annual climate maps for Bolivia

  • Identification data

    Identifier: imarina:5130434
    Authors:
    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
    Abstract:
    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.
  • Others:

    Author, as appears in the article.: 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
    Department: Geografia
    URV's Author/s: Aguilar Anfrons, Enrique Modesto
    Keywords: Water balance Temperature Regression-based interpolation Precipitation Bolivia Atmospheric water demand
    Abstract: 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.
    Research group: Centre en Canvi Climàtic (C3)
    Thematic Areas: Interdisciplinar Geography, planning and development Geography, physical Geography Geografia i urbanisme Geografía Geociências Earth and planetary sciences (miscellaneous) Ciencias sociales Antropologia / arqueologia
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 17445647
    Author's mail: enric.aguilar@urv.cat
    Author identifier: 0000-0002-8384-377X
    Record's date: 2024-09-07
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://www.tandfonline.com/doi/full/10.1080/17445647.2015.1014940
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Journal Of Maps. 12 (2): 295-310
    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
    Article's DOI: 10.1080/17445647.2015.1014940
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2016
    Publication Type: Journal Publications
  • Keywords:

    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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