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Reliability of gridded temperature datasets to monitor surface air temperature variability over Bolivia.

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Title: Reliability of gridded temperature datasets to monitor surface air temperature variability over Bolivia.
Authors: Satgé, F.1,2 (AUTHOR) frederic.satge@ird.fr, Pillco, R.2 (AUTHOR), Molina‐Carpio, J.2 (AUTHOR), Mollinedo, P. Pacheco1 (AUTHOR), Bonnet, M‐P.1 (AUTHOR)
Source: International Journal of Climatology. Nov2023, Vol. 43 Issue 13, p6191-6206. 16p.
Subject Terms: *Atmospheric temperature, *Temperature, Surface temperature, Meteorological stations, Precipitation gauges
Geographic Terms: Bolivia, Rio de la Plata (Argentina & Uruguay), Altiplano
Abstract: Six gridded temperature datasets (T‐datasets) were evaluated for the first time over the South American continent, through the case study of Bolivia, by comparing them with temperature records acquired from 82 meteorological stations spanning the 1995–2010 period. The comparisons were carried out at the daily time step considering different seasons (annual scale, austral summer and austral winter) and regions (Amazon, La Plata and Altiplano basins). Overall, the climate hazards group infrared temperature with stations (CHIRTS) and the climate prediction centre (CPC) T‐datasets provided the most reliable mean daily temperature (Tmean) and also described well the temporal variability of minimum and maximum daily temperature estimates (Tn and Tx). Tmean, Tn and Tx trends were analysed over the 1983–2016 period to observe temperature temporal evolution across the three regions. Despite some general agreements between the trends (Tmean, Tx and Tn), large discrepancies are also observed. It was found that CPC overestimates and CHIRTS underestimates mean temperature trends and that CPC (CHIRTS) was better than CHIRTS (CPC) to estimate Tx (Tn) trends, both in magnitude and space. Furthermore, opposing trends (i.e., warming and cooling) are described by CPC and CHIRTS for some specific regions, which call into question their reliability for such analyses. These findings highlight the need to validate gridded temperature products with reliable ground data for the regions under study, particularly if they have a wide elevation range. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Climatology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Label: Title
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  Data: Reliability of gridded temperature datasets to monitor surface air temperature variability over Bolivia.
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  Data: <searchLink fieldCode="AR" term="%22Satgé%2C+F%2E%22">Satgé, F.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> frederic.satge@ird.fr</i><br /><searchLink fieldCode="AR" term="%22Pillco%2C+R%2E%22">Pillco, R.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Molina‐Carpio%2C+J%2E%22">Molina‐Carpio, J.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mollinedo%2C+P%2E+Pacheco%22">Mollinedo, P. Pacheco</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bonnet%2C+M‐P%2E%22">Bonnet, M‐P.</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Climatology%22">International Journal of Climatology</searchLink>. Nov2023, Vol. 43 Issue 13, p6191-6206. 16p.
– Name: Subject
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  Data: *<searchLink fieldCode="DE" term="%22Atmospheric+temperature%22">Atmospheric temperature</searchLink><br />*<searchLink fieldCode="DE" term="%22Temperature%22">Temperature</searchLink><br /><searchLink fieldCode="DE" term="%22Surface+temperature%22">Surface temperature</searchLink><br /><searchLink fieldCode="DE" term="%22Meteorological+stations%22">Meteorological stations</searchLink><br /><searchLink fieldCode="DE" term="%22Precipitation+gauges%22">Precipitation gauges</searchLink>
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  Label: Geographic Terms
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  Data: <searchLink fieldCode="DE" term="%22Bolivia%22">Bolivia</searchLink><br /><searchLink fieldCode="DE" term="%22Rio+de+la+Plata+%28Argentina+%26+Uruguay%29%22">Rio de la Plata (Argentina & Uruguay)</searchLink><br /><searchLink fieldCode="DE" term="%22Altiplano%22">Altiplano</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Six gridded temperature datasets (T‐datasets) were evaluated for the first time over the South American continent, through the case study of Bolivia, by comparing them with temperature records acquired from 82 meteorological stations spanning the 1995–2010 period. The comparisons were carried out at the daily time step considering different seasons (annual scale, austral summer and austral winter) and regions (Amazon, La Plata and Altiplano basins). Overall, the climate hazards group infrared temperature with stations (CHIRTS) and the climate prediction centre (CPC) T‐datasets provided the most reliable mean daily temperature (Tmean) and also described well the temporal variability of minimum and maximum daily temperature estimates (Tn and Tx). Tmean, Tn and Tx trends were analysed over the 1983–2016 period to observe temperature temporal evolution across the three regions. Despite some general agreements between the trends (Tmean, Tx and Tn), large discrepancies are also observed. It was found that CPC overestimates and CHIRTS underestimates mean temperature trends and that CPC (CHIRTS) was better than CHIRTS (CPC) to estimate Tx (Tn) trends, both in magnitude and space. Furthermore, opposing trends (i.e., warming and cooling) are described by CPC and CHIRTS for some specific regions, which call into question their reliability for such analyses. These findings highlight the need to validate gridded temperature products with reliable ground data for the regions under study, particularly if they have a wide elevation range. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Climatology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/joc.8200
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 16
        StartPage: 6191
    Subjects:
      – SubjectFull: Atmospheric temperature
        Type: general
      – SubjectFull: Temperature
        Type: general
      – SubjectFull: Surface temperature
        Type: general
      – SubjectFull: Meteorological stations
        Type: general
      – SubjectFull: Precipitation gauges
        Type: general
      – SubjectFull: Bolivia
        Type: general
      – SubjectFull: Rio de la Plata (Argentina & Uruguay)
        Type: general
      – SubjectFull: Altiplano
        Type: general
    Titles:
      – TitleFull: Reliability of gridded temperature datasets to monitor surface air temperature variability over Bolivia.
        Type: main
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            NameFull: Satgé, F.
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            NameFull: Pillco, R.
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            NameFull: Molina‐Carpio, J.
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            NameFull: Mollinedo, P. Pacheco
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            – D: 01
              M: 11
              Text: Nov2023
              Type: published
              Y: 2023
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              Value: 43
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