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Dr. Nikunj Mangukiya

@nikk-m.bsky.social
22 followers 50 following 1 posts

PhD in Hydrology. Hydrological Modeling | Flood Risk | Deep Learning | AI & ML | Water Resources | Positive Thinker

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Dr. Nikunj Mangukiya @nikk-m.bsky.social · 16/07/2025
We developed a differentiable, physically interpretable model for regulated catchments, integrating reservoir dynamics and leveraging satellite-based indirect observations to overcome reservoir data limitations. @ashutoshhydro.bsky.social agupubs.onlinelibrary.wiley.com/doi/10.1029/...
agupubs.onlinelibrary.wiley.com
Integrating Reservoir Dynamics Into Differentiable Process‐Based Hydrological Model for Enhanced Streamflow Estimation
A differentiable process-based model integrated with reservoir dynamics improved streamflow prediction in regulated catchments The proposed model also estimated untrained variables such as evapot...
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Reposted by Dr. Nikunj Mangukiya
Dr. Ashutosh Sharma @ashutoshhydro.bsky.social · 05/02/2025
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/...
essd.copernicus.org
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...
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