Associate Professor, Hydrology Department (@hydrology_IITR), IIT Roorkee Large-sample hydrology; Data-driven modeling; Climate change; Floods; Dams
Roorkee, India
Joined July 2010
- Tweets1.3K
- Following653
- Followers1.7K
- Likes2.3K
Dr. Ashutosh Sharma retweeted
25 Years as an IIT | Beginning of 180th Year of Legacy
A heartfelt invitation from Prof. Praveen Kumar, Deputy Director, IIT Roorkee.
From a pioneering college in 1847 to one of India’s leading Indian Institutes of Technology, our journey has been one of legacy, innovation and nation-building. As we complete 25 years as an IIT, we invite you to be a part of this historic milestone.
📅 25 November 2026 | Foundation Day Celebrations
📍 On campus and online
Come, celebrate our legacy and the future we are building together.
#IITRoorkee #25YearsOfIITRoorkee #180YearsOfLegacy #FoundationDay2026 #IITRoorkeeAlumni #DORA
@iitroorkee @doraiitr
🌊 Hiring a JRF at @Hydrology_IITR, @IITRoorkee: AI for flood forecasting using LSTMs, Transformers & physics-informed models for Indian catchments.
Email your CV to [email protected].
CAMELS-IND is featured in @theAGU’s Impactful Datasets collection!
A big thank you to Prof. @marpita567 for nominating the dataset and supporting open data in Indian hydrology.
🔗 Listing: data.agu.org/impactful-datas…
🔗 Data details: ashutosh-hydro.github.io/Eco…
Dr. Ashutosh Sharma retweeted
A warm welcome to all our new M.Tech and Ph.D. scholars joining the Department of Hydrology! Wishing you a inspiring and successful journey ahead! 📚✨
Complexity matters! Models with intermediate parameter complexity (10–15 parameters) and max 3 storage structures (mostly soil moisture) hit the sweet spot for performance. Leaner models like GR4J also punch well above their weight.
1
97
Large-sample hydrological forecasting is tough due to model uncertainties and regional climate differences. We decided to put 47 rainfall–runoff models to the test across 159 watersheds in Peninsular India using MARRMoT.
1
130
New paper alert! 🚨
Pleased to share our latest work published in Water Resources Research: "Benchmarking and Selecting Optimal Hydrological Models for Large-Sample Applications Considering Complexity and Uncertainty"
agupubs.onlinelibrary.wiley.…
Our recent publication in Water Resources Research, led by former PhD student @nikk_mn , Ph.D., has been featured as one of the most widely read papers in the journal.
Check out the paper here: doi.org/10.1029/2024WR037331
@Hydrology_AGU
Representing IIT Roorkee at one of the world’s largest geoscience gatherings. It’s a privilege to be at #EGU26 with colleagues and students from @iitroorkee, showcasing the innovative work coming out of our institute.
@Hydrology_IITR
@Ank_iitR
With 500+ delegates from across the globe, the Roorkee Water Conclave (#RWC2026) has officially concluded! Deeply thankful to every delegate, researcher, and student who joined us at @iitroorkee to champion transboundary cooperation through nexus approach. @NIH_Hydrology
Dr. Ashutosh Sharma retweeted
IIT Roorkee inaugurated the 4th Roorkee Water Conclave (RWC 2026) from 23–25 February 2026 in collaboration with the National Institute of Hydrology, Roorkee, on the theme “Transboundary Water Cooperation Through Nexus Approach.”
The biennial conclave brings together global
IIT Roorkee and NIH Roorkee are ready to host the 4th Roorkee Water Conclave (RWC2026) from 23–25 February 2026, centered on “Transboundary Water Cooperation Through Nexus Approach.”
@iitroorkee
@NIH_Hydrology
IIT Roorkee is proud to host the 4th Roorkee Water Conclave (RWC2026) from 23–25 February 2026, centered on “Transboundary Water Cooperation Through Nexus Approach.”
The Conclave brings together eminent policymakers, Padma Shri awardees, sector leaders, and technical experts to
1
7
205
Prospective ANRF-NPDF candidates!
Join us to work on Large-Sample Hydrological Modeling using ML & Hybrid (PB+ML) approaches across Indian catchments. 🌊💻
📩 Interested? DM or email CV to: [email protected].
Honored to receive the Prof. R.J. Garde Young Researcher Award from the Indian Society for Hydraulics (ISH) at #HYDRO2025, NIT Rourkela.
@Hydrology_IITR @iitroorkee @cwprspune
2
8
346
We visted Biligundulu GDSQ Site on the Cauvery River in Tamil Nadu. This station plays a critical role in providing real-time data on river flow and Inter-State Water Management. Thanks to CWC staff their continuous, hard work! @SUMITSE14587600 @CWCOfficial_GoI @Hydrology_IITR
We visited the Pasighat GDSQ site on Siang River in Arunachal Pradesh. Accurately measuring river discharge is foundational for water management. Hats off to exceptional hard work of on-site team to gather this crucial data! @CWCOfficial_GoI
@SUMITSE14587600 @Hydrology_IITR
Does MC-LSTM model improve the reliability of streamflow prediction in human-influenced watersheds?
New paper by @g_sahu55951 and @nikk_mn
Ans: MC-LSTM shows greater performance improvement over LSTM in high-human-influenced watersheds.
@Hydrology_IITR
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/ar…
@AshutoshHydro @nikk_mn @Hydrology_IITR @iitroorkee