🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Look out for our presentation at @ #EGU23 #Eco_Hydro_Climate European Geosciences Union

Curious about how Deep Learning can enhance streamflow predictions in India? Our latest paper explores DL-based streamflow predictions for 55 hydrologically-distinct watersheds across the country. Check it out! Chaopeng Shen Dr. Nikunj Mangukiya Hydrology Department, IIT Roorkee onlinelibrary.wiley.com/doi/full/10.10…

I'm glad to be a member of the #RWC2024 Volunteering Team. It was an incredible four days filled with insightful conversations with dignitaries and other academics, perhaps leading to long-term friendships and collaborations.

A week-long workshop on Methods, Applications, and Hands-on for Big Data in Hydro-Climatology Hydrology Department, IIT Roorkee

We are looking for your participation in the survey “AI/ML in the #Hydrology Community” – a joint initiative by #UNESCO #IHP & its EURO-FRIEND Project-3. Link to the survey: forms.office.com/e/5bkkBypXgP Please share widely! #hydrologyML #hydrologyAI #AIMLhydrology

It was exciting to talk about our recent work at #HydroML and finally meet some amazing people in-person... Chaopeng Shen Dapeng Feng. Your work has been a huge inspiration for me. Thanks Pacific Northwest National Laboratory for nicely organising the symposium. Dr. Ashutosh Sharma IIT Roorkee Hydrology Department, IIT Roorkee

We're hosting an #AGUFallMeeting session on #Freshwater ecosystems in Asia-Pacific! Submit your abstract on services, vulnerabilities, & conservation strategies by 31 July to join the discussion! More info: agu.confex.com/agu/agu24/prel… SUMIT SEN Pratik Singh Thakuri

Excited to share our published work on a ML-based multi-model ensemble framework that can extrapolate beyond the training range for fast flood inundation mapping! Check it out: authors.elsevier.com/c/1jTuq_V24KgJ… Thanks to my PhD supervisor Dr. Ashutosh Sharma Dept. of Hydrology IIT Roorkee

Excited to share my research published in WRR! We developed a DL approach for daily flow simulations from aggregated or intermittent observations. Read more: doi.org/10.1029/2024WR… A huge thanks to my supervisor, Dr. Ashutosh Sharma Hydrology Department, IIT Roorkee IIT Roorkee

Research Positions Available! Multiple RA & JRF (convertible to PhD) positions are open in my group at IIT Roorkee. Research areas: hydrological modeling, ML-based simulations, & water resources management. 📩 [email protected]

Happy to share that CAMELS-IND has surpassed 3,000 downloads in under 3 months! 🚀 We’re eager to learn about how you’re using the data. If you've used it, let us know, and we’ll proudly feature it on our Data page: sites.google.com/view/ecohydrol…

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/17/46…

Today, I completed my PhD in Hydrology from IIT Roorkee. My thesis focused on DL-based models for streamflow prediction in human-influenced watersheds and flood risk assessment in ungauged regions. Special thanks to my advisor Prof. Dr. Ashutosh Sharma 🎓Officially Dr. Nikunj!

We developed a physically interpretable differentiable model for regulated catchments by integrating reservoir dynamics and addressing reservoir-specific data limitations using satellite-based indirect observations. Dr. Ashutosh Sharma IIT Roorkee Dept. of Hydrology agupubs.onlinelibrary.wiley.com/doi/10.1029/20…