
Discussion open for comments: CAMELS-INDIA: hydrometeorological time series and catchment attributes for 472 catchments in Peninsular India doi.org/10.5194/essd-2…
Dr. Nikunj Mangukiya
51 posts

@nikk_mn
Hydrological Modeling | Flood Risk | Deep Learning | AI & ML | Water Resources | Positive Thinker

Discussion open for comments: CAMELS-INDIA: hydrometeorological time series and catchment attributes for 472 catchments in Peninsular India doi.org/10.5194/essd-2…


Thrilled to Share My First PhD paper published in the Journal of Hydrology! Our Work shows that MC-LSTM improves streamflow prediction in human-influenced watersheds. Paper link: sciencedirect.com/science/articl… @AshutoshHydro @nikk_mn @Hydrology_IITR @iitroorkee








A highly engaging session at #IAHS2025! “Introducing CAMELS-IND: A Hydrometeorological and Catchment Attributes Dataset for Peninsular India,” organized by @AshutoshHydro and @pankaj_iisc, concluded successfully with insightful discussions and active participation👏 @iitroorkee

















We introduce CAMELS-INDIA (Catchment Attributes and MEteorology for Large-sample Studies), which provides daily hydrometeorological time series and static catchment attributes for 472 catchments in peninsular India. Data: zenodo.org/records/132212…











