Mostrar registro simples

dc.contributor.authorChagas, Vinícius Bogo Portalpt_BR
dc.contributor.authorChaffe, Pedro Luiz Borgespt_BR
dc.contributor.authorAddor, Nanspt_BR
dc.contributor.authorFan, Fernando Mainardipt_BR
dc.contributor.authorFleischmann, Ayan Santospt_BR
dc.contributor.authorPaiva, Rodrigo Cauduro Dias dept_BR
dc.contributor.authorSiqueira, Vinícius Alencarpt_BR
dc.date.accessioned2020-12-03T04:09:09Zpt_BR
dc.date.issued2020pt_BR
dc.identifier.issn1866-3516pt_BR
dc.identifier.urihttp://hdl.handle.net/10183/216051pt_BR
dc.description.abstractWe 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 https://doi.org/10.5281/zenodo.3709337 (Chagas et al., 2020).en
dc.format.mimetypeapplication/pdfpt_BR
dc.language.isoengpt_BR
dc.relation.ispartofEarth System Science Data. Göttingen. Vol. 12, no. 3 (Jul./Sept. 2020), p. 2075-2096pt_BR
dc.rightsOpen Accessen
dc.subjectDados hidrológicospt_BR
dc.subjectDados meteorologicospt_BR
dc.subjectBacias hidrográficas brasileiraspt_BR
dc.subjectBrasilpt_BR
dc.titleCAMELS-BR : hydrometeorological time series and landscape attributes for 897 catchments in Brazilpt_BR
dc.typeArtigo de periódicopt_BR
dc.identifier.nrb001118799pt_BR
dc.type.originEstrangeiropt_BR


Thumbnail
   

Este item está licenciado na Creative Commons License

Mostrar registro simples