CAMELS-BR: hydrometeorological time series and landscape attributes for 897 catchments in Brazil
<p>We introduce a new catchment dataset for large-sample hydrological studies in Brazil. This dataset encompasses daily time series of observed streamflow from 3679 gauges, as well as meteorological forcing (precipitation, evapotranspiration, and temperature) for 897 selected catchments. It al...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2020-09-01
|
| Series: | Earth System Science Data |
| Online Access: | https://essd.copernicus.org/articles/12/2075/2020/essd-12-2075-2020.pdf |
| _version_ | 1818250298658914304 |
|---|---|
| author | V. B. P. Chagas P. L. B. Chaffe N. Addor F. M. Fan A. S. Fleischmann R. C. D. Paiva V. A. Siqueira |
| author_facet | V. B. P. Chagas P. L. B. Chaffe N. Addor F. M. Fan A. S. Fleischmann R. C. D. Paiva V. A. Siqueira |
| author_sort | V. B. P. Chagas |
| collection | DOAJ |
| description | <p>We introduce a new catchment dataset for large-sample
hydrological studies in Brazil. This dataset encompasses daily time series
of observed streamflow from 3679 gauges, as well as meteorological forcing
(precipitation, evapotranspiration, and temperature) for 897 selected
catchments. It also includes 65 attributes covering a range of topographic,
climatic, hydrologic, land cover, geologic, soil, and human intervention
variables, as well as data quality indicators. This paper describes how the
hydrometeorological time series and attributes were produced, their primary
limitations, and their main spatial features. To facilitate comparisons with
catchments from other countries, the data follow the same standards as the
previous CAMELS (Catchment Attributes and MEteorology for Large-sample
Studies) datasets for the United States, Chile, and Great Britain. CAMELS-BR (Brazil)
complements the other CAMELS datasets by providing data for hundreds of
catchments in the tropics and the Amazon rainforest. Importantly,
precipitation and evapotranspiration uncertainties are assessed using
several gridded products, and quantitative estimates of water consumption are
provided to characterize human impacts on water resources. By extracting and
combining data from these different data products and making CAMELS-BR
publicly available, we aim to create new opportunities for hydrological
research in Brazil and facilitate the inclusion of Brazilian basins in
continental to global large-sample studies. We envision that this dataset
will enable the community to gain new insights into the drivers of
hydrological behavior, better characterize extreme hydroclimatic events, and
explore the impacts of climate change and human activities on water
resources in Brazil. The CAMELS-BR dataset is freely available at
<a href="https://doi.org/10.5281/zenodo.3709337">https://doi.org/10.5281/zenodo.3709337</a> (Chagas et al., 2020).</p> |
| first_indexed | 2024-12-12T15:50:10Z |
| format | Article |
| id | doaj.art-a614c6260bfb4cacb717022bccac2654 |
| institution | Directory Open Access Journal |
| issn | 1866-3508 1866-3516 |
| language | English |
| last_indexed | 2024-12-12T15:50:10Z |
| publishDate | 2020-09-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Earth System Science Data |
| spelling | doaj.art-a614c6260bfb4cacb717022bccac26542022-12-22T00:19:38ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162020-09-01122075209610.5194/essd-12-2075-2020CAMELS-BR: hydrometeorological time series and landscape attributes for 897 catchments in BrazilV. B. P. Chagas0P. L. B. Chaffe1N. Addor2F. M. Fan3A. S. Fleischmann4R. C. D. Paiva5V. A. Siqueira6Department of Sanitary and Environmental Engineering, Graduate Program of Environmental Engineering, Federal University of Santa Catarina–UFSC, Florianopolis, BrazilDepartment of Sanitary and Environmental Engineering, Federal University of Santa Catarina–UFSC, Florianopolis, BrazilDepartment of Geography, College of Life and Environmental Sciences, University of Exeter, Exeter, UKHydraulic Research Institute, Federal University of Rio Grande do Sul-UFRGS, Porto Alegre, BrazilHydraulic Research Institute, Federal University of Rio Grande do Sul-UFRGS, Porto Alegre, BrazilHydraulic Research Institute, Federal University of Rio Grande do Sul-UFRGS, Porto Alegre, BrazilHydraulic Research Institute, Federal University of Rio Grande do Sul-UFRGS, Porto Alegre, Brazil<p>We introduce a new catchment dataset for large-sample hydrological studies in Brazil. This dataset encompasses daily time series of observed streamflow from 3679 gauges, as well as meteorological forcing (precipitation, evapotranspiration, and temperature) for 897 selected catchments. It also includes 65 attributes covering a range of topographic, climatic, hydrologic, land cover, geologic, soil, and human intervention variables, as well as data quality indicators. This paper describes how the hydrometeorological time series and attributes were produced, their primary limitations, and their main spatial features. To facilitate comparisons with catchments from other countries, the data follow the same standards as the previous CAMELS (Catchment Attributes and MEteorology for Large-sample Studies) datasets for the United States, Chile, and Great Britain. CAMELS-BR (Brazil) complements the other CAMELS datasets by providing data for hundreds of catchments in the tropics and the Amazon rainforest. Importantly, precipitation and evapotranspiration uncertainties are assessed using several gridded products, and quantitative estimates of water consumption are provided to characterize human impacts on water resources. By extracting and combining data from these different data products and making CAMELS-BR publicly available, we aim to create new opportunities for hydrological research in Brazil and facilitate the inclusion of Brazilian basins in continental to global large-sample studies. We envision that this dataset will enable the community to gain new insights into the drivers of hydrological behavior, better characterize extreme hydroclimatic events, and explore the impacts of climate change and human activities on water resources in Brazil. The CAMELS-BR dataset is freely available at <a href="https://doi.org/10.5281/zenodo.3709337">https://doi.org/10.5281/zenodo.3709337</a> (Chagas et al., 2020).</p>https://essd.copernicus.org/articles/12/2075/2020/essd-12-2075-2020.pdf |
| spellingShingle | V. B. P. Chagas P. L. B. Chaffe N. Addor F. M. Fan A. S. Fleischmann R. C. D. Paiva V. A. Siqueira CAMELS-BR: hydrometeorological time series and landscape attributes for 897 catchments in Brazil Earth System Science Data |
| title | CAMELS-BR: hydrometeorological time series and landscape attributes for 897 catchments in Brazil |
| title_full | CAMELS-BR: hydrometeorological time series and landscape attributes for 897 catchments in Brazil |
| title_fullStr | CAMELS-BR: hydrometeorological time series and landscape attributes for 897 catchments in Brazil |
| title_full_unstemmed | CAMELS-BR: hydrometeorological time series and landscape attributes for 897 catchments in Brazil |
| title_short | CAMELS-BR: hydrometeorological time series and landscape attributes for 897 catchments in Brazil |
| title_sort | camels br hydrometeorological time series and landscape attributes for 897 catchments in brazil |
| url | https://essd.copernicus.org/articles/12/2075/2020/essd-12-2075-2020.pdf |
| work_keys_str_mv | AT vbpchagas camelsbrhydrometeorologicaltimeseriesandlandscapeattributesfor897catchmentsinbrazil AT plbchaffe camelsbrhydrometeorologicaltimeseriesandlandscapeattributesfor897catchmentsinbrazil AT naddor camelsbrhydrometeorologicaltimeseriesandlandscapeattributesfor897catchmentsinbrazil AT fmfan camelsbrhydrometeorologicaltimeseriesandlandscapeattributesfor897catchmentsinbrazil AT asfleischmann camelsbrhydrometeorologicaltimeseriesandlandscapeattributesfor897catchmentsinbrazil AT rcdpaiva camelsbrhydrometeorologicaltimeseriesandlandscapeattributesfor897catchmentsinbrazil AT vasiqueira camelsbrhydrometeorologicaltimeseriesandlandscapeattributesfor897catchmentsinbrazil |