Ted Langhorst
@theod0re.bsky.social
Hydrology and fluvial geomorphology. Combining remote sensing, deep learning, and hydrologic modeling to better understand river processes. Postdoc at UMass Amherst.
https://tedlanghorst.github.io/
https://tedlanghorst.github.io/
Reposted by Ted Langhorst
Exciting news! Our paper on CAMELS-IND data is finally published!
Key features of the data:
✅ Standard CAMELS format
🌊 472 catchments covered
☁️ 19 hydrometeorological variables
📊 211 catchment attributes
📆 40+ years (1980-2020)
📥 3,000+ downloads
essd.copernicus.org/articles/17/...
Key features of the data:
✅ Standard CAMELS format
🌊 472 catchments covered
☁️ 19 hydrometeorological variables
📊 211 catchment attributes
📆 40+ years (1980-2020)
📥 3,000+ downloads
essd.copernicus.org/articles/17/...
CAMELS-IND: hydrometeorological time series and catchment attributes for 228 catchments in Peninsular India
Abstract. We introduce CAMELS-IND (Catchment Attributes and MEteorology for Large-sample Studies – India), a dataset containing hydrometeorological time series and catchment attributes for 472 catchme...
essd.copernicus.org
February 5, 2025 at 1:40 PM
Exciting news! Our paper on CAMELS-IND data is finally published!
Key features of the data:
✅ Standard CAMELS format
🌊 472 catchments covered
☁️ 19 hydrometeorological variables
📊 211 catchment attributes
📆 40+ years (1980-2020)
📥 3,000+ downloads
essd.copernicus.org/articles/17/...
Key features of the data:
✅ Standard CAMELS format
🌊 472 catchments covered
☁️ 19 hydrometeorological variables
📊 211 catchment attributes
📆 40+ years (1980-2020)
📥 3,000+ downloads
essd.copernicus.org/articles/17/...