We introduce CAMELS-INDIA dataset, which provides daily hydrometeorological time series and static catchment attributes for 472 catchments in peninsular India. Data link: https://t.co/5NXhfjHBrF Thanks to my supervisor @AshutoshHydro @hydrology_IITR @iitroorkee

Excited to join @NUSingapore as a Postdoctoral Research Fellow in Prof. Simone Fatichi’s group! I'll be working on a CFI Singapore–funded project on AI & hydrological sciences, climate change impacts & flood hazard mapping. Grateful to my PhD supervisor Prof. @AshutoshHydro.

JRF/PhD Position Available! Seeking a JRF (can convert to a PhD!) to work on Data-Driven Hydrological Modeling and Machine Learning (ML). 📧 Send your CV to ashutosh.sharma@hy.iitr.ac.in for details.

Presented CAMELS-IND dataset and our work on addressing the challenges of sparse hydrological observations at IAHS 2025! Grateful for the engaging discussions and inspiring feedback from the global hydrology community. #IAHS2025 #CAMELSIND @AshutoshHydro @Hydrology_IITR

Talking data, rivers, and community — CAMELS-IND at #IAHS2025 🌊

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

Looking for a systematic hydrometeorological dataset for Indian catchments? Join us for CAMELS-IND workshop at #IAHS2025 at @iitroorkee. Details: https://t.co/2guaa3rWMM Register: https://t.co/vvJB5W3Q6s @pankaj_iisc @nikk_mn @IAHS_AISH @ShailzaSha41025

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. @AshutoshHydro @iitroorkee @doh_iitr https://t.co/8nemX2nUHM

Today, I completed my PhD in Hydrology from @iitroorkee. 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. @AshutoshHydro 🎓Officially Dr. Nikunj!

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 https://t.co/t2va3rlE5Q

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: https://t.co/8TVW2CMc9D

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. 📩 ashutosh.sharma@hy.iitr.ac.in

Excited to share my research published in WRR! We developed a DL approach for daily flow simulations from aggregated or intermittent observations. Read more: https://t.co/qwhUNR08Y6 A huge thanks to my supervisor, @AshutoshHydro @hydrology_IITR @iitroorkee

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: https://t.co/tHb3L86bOQ Thanks to my PhD supervisor @AshutoshHydro @doh_iitr @iitroorkee

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: https://t.co/FJAaMjXuCN @SUMITSE14587600 @ThakuriPratikS

It was exciting to talk about our recent work at #HydroML and finally meet some amazing people in-person... @ChaopengShen @DapengFeng1. Your work has been a huge inspiration for me. Thanks @PNNLab for nicely organising the symposium. @AshutoshHydro @iitroorkee @hydrology_IITR

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: https://t.co/FyrpCfuFz0 Please share widely! #hydrologyML #hydrologyAI #AIMLhydrology

A week-long workshop on Methods, Applications, and Hands-on for Big Data in Hydro-Climatology @hydrology_IITR

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.

Our approach overcomes the limitations of regression-based approaches by accurately representing hydrological dynamics in regional flood frequency analysis for the data-sparse region. We also show that regional assumptions can result in biased estimates, and should be avoided.