Flow
CAMELS (US)
Catchment Attributes and Meteorology for Large-sample Studies. 671 minimally disturbed US catchments.
Daily streamflow, three sets of meteorological forcing (Daymet, Maurer, NLDAS) and a set of topographic, climatic, soil, vegetation and geological attributes. The benchmark for large-sample and machine-learning hydrology.
- Source
- NSF National Center for Atmospheric Research
- Resolution
- Catchment (lumped)
- Data type
- Catchment time series
- Time span
- 1980–2014
- Temporal
- Daily
- Access type
- Direct download (external)
- Formats
- Text, Shapefile
- Coverage
- Conterminous United States (-125, 24, -66, 50)
- Licence
- See provider terms
- Provider page
- gdex.ucar.edu/datasets/d629001/
Cite as. Addor, N., Newman, A. J., Mizukami, N., Clark, M. P. (2017). The CAMELS data set. Hydrology and Earth System Sciences, 21, 5293–5313. https://doi.org/10.5194/hess-21-5293-2017
Access
linkDataset page on the NCAR Geoscience Data Exchange
curl "https://hydrological.org/api/v1/datasets/camels-us/links?bbox=-96.5,36,-94.5,38" \
-H "Accept: application/json"import requests
r = requests.get("https://hydrological.org/api/v1/datasets/camels-us/links",
params={"bbox": "-96.5,36,-94.5,38"})
for group in r.json()["groups"]:
for link in group["links"]:
print(link["url"])const res = await fetch("https://hydrological.org/api/v1/datasets/camels-us/links?bbox=-96.5,36,-94.5,38");
const { groups } = await res.json();
for (const g of groups) g.links.forEach(l => console.log(l.url));Also available as JSON: links · manifest · dataset record
