Quasi-global streamflow dataset from large sample datasets
| Authors: | |
|---|---|
| Owners: | Manuela Brunner |
| Type: | Resource |
| Storage: | The size of this resource is 657.0 MB |
| Created: | May 28, 2022 at 7:31 p.m. |
| Last updated: | Feb 09, 2023 at 1:35 p.m. (Metadata update) |
| Published date: | Feb 09, 2023 at 1:35 p.m. |
| DOI: | 10.4211/hs.31b56632213345db889a9eee981619f6 |
| Citation: | See how to cite this resource |
| Content types: | Geographic Feature Content |
| Sharing Status: | Published |
|---|---|
| Views: | 1187 |
| Downloads: | 73 |
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Abstract
Streamflow, precipitation, and potential evapotranspiration time series for 5015 catchments from different large-sample datasets: 720 gauges in Central Europe from the LamaH dataset (Klingler et al. 2021), 2683 gauges in the United States from the streamflow and basin characteristics dataset by Dudley et al. 2018 (Dudley18), 208 gauges in Australia from the CAMELS-AUS dataset (Fowler et al. 2021), 109 gauges in Chile from the CAMELS-CL dataset (Alvarez et al. 2018), 576 catchments in Great Britain from the CAMELS-GB dataset (Coxon et al. 2020), and 733 catchments in Brazil from the Catchments Attributes for Brazil (CABra) dataset (Almagro et al. 2021).
Subject Keywords
Coverage
Spatial
Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
global
North Latitude
58.4021°
East Longitude
153.4242°
South Latitude
-53.9799°
West Longitude
-124.1742°
Temporal
| Start Date: | 01/01/1981 |
|---|---|
| End Date: | 12/31/2018 |
Leaflet Map data © OpenStreetMap contributors
Content
This resource contains links to external content. Linked content is
NOT stored in HydroShare, and we can't guarantee its availability, quality, or
security.
Data Services
The following web services are available for data contained in this resource. Geospatial Feature and Raster
data are made available via Open Geospatial Consortium Web Services. The provided links can be copied and pasted
into GIS software to access these data. Multidimensional NetCDF data are made available via a THREDDS Data Server
using remote data access protocols such as OPeNDAP. Other data services may be made available in the future to
support additional data types.
Related Resources
| This resource has a related resource in another format | Dudley, R. W., Archfield, S. A., Hodgkins, G. A., Renard, B., & Ryberg, K. R. (2018). Peak-streamflow trends and change-points and basin characteristics for 2,683 U.S. Geological Survey streamgages in the conterminous U.S. Peak-streamflow trends and change-points and basin characteristics for 2,683 U.S. https://doi.org/10.5066/P9AEGXY0. |
| This resource has a related resource in another format | Coxon, G., Addor, N., Bloomfield, J. P., Freer, J., Fry, M., Hannaford, J., . . . Woods, R. (2020). CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain. Earth System Science Data, 12 (4), 2459–2483. doi: 10.5194/essd-12-2459-2020 |
| This resource has a related resource in another format | Klingler, C., Schulz, K., & Herrnegger, M. (2021). LamaH-CE: LArge-SaMple DAta for hydrology and environmental sciences for Central Europe. Earth System Science Data, 13 (9), 4529–4565. doi: 10.5194/essd-13-4529-2021 |
| This resource has a related resource in another format | Fowler, K. J., Acharya, S. C., Addor, N., Chou, C., & Peel, M. C. (2021). CAMELS-AUS: Hydrometeorological time series and landscape attributes for 222 catchments in Australia. Earth System Science Data, 13 (8), 3847–3867. doi: 10.5194/essd-13-3847-2021 |
| This resource has a related resource in another format | Alvarez-Garreton, C., Mendoza, P. A., Pablo Boisier, J., Addor, N., Galleguillos, M., Zambrano-Bigiarini, M., . . . Ayala, A. (2018). The CAMELS-CL dataset: Catchment attributes and meteorology for large sample studies-Chile dataset. Hydrology and Earth System Sciences, 22 (11), 5817–5846. doi: 10.5194/hess-22-5817-2018 |
| This resource has a related resource in another format | Almagro, A., Oliveira, P. T. S., Meira Neto, A. A., Roy, T., & Troch, P. (2021, 6). CABra: A novel large-sample dataset for Brazilian catchments. Hydrology and Earth System Sciences, 25 (6), 3105–3135. doi: 10.5194/hess-25-3105-2021347 |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| German Research Foundation | DFStaR | 2100371301 |
How to Cite
Brunner, M. (2023). Quasi-global streamflow dataset from large sample datasets, HydroShare, https://doi.org/10.4211/hs.31b56632213345db889a9eee981619f6
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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