Hydrological Modeling | Flood Risk | Deep Learning | AI & ML | Water Resources | Positive Thinker
India
Joined July 2015
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We introduce CAMELS-INDIA dataset, which provides daily hydrometeorological time series and static catchment attributes for 472 catchments in peninsular India.
Data link: zenodo.org/records/13221214
Thanks to my supervisor @AshutoshHydro
@hydrology_IITR @iitroorkee
Discussion open for comments: CAMELS-INDIA: hydrometeorological time series and catchment attributes for 472 catchments in Peninsular India doi.org/10.5194/essd-2024-37…
Dr. Nikunj Mangukiya retweeted
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. Nikunj Mangukiya retweeted
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.…
Dr. Nikunj Mangukiya retweeted
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
Dr. Nikunj Mangukiya retweeted
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
Dr. Nikunj Mangukiya retweeted
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
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.
Dr. Nikunj Mangukiya retweeted
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 [email protected] 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
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Dr. Nikunj Mangukiya retweeted
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
Dr. Nikunj Mangukiya retweeted
Looking for a systematic hydrometeorological dataset for Indian catchments?
Join us for CAMELS-IND workshop at #IAHS2025 at @iitroorkee.
Details: iahs2025.com/SECAMELS
Register: forms.gle/9yhiDVFPfWrZLnDs9
@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
agupubs.onlinelibrary.wiley.…
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!
Dr. Nikunj Mangukiya retweeted
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…
Dr. Nikunj Mangukiya retweeted
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/ecohyd…
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/13221214
Dr. Nikunj Mangukiya retweeted
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]
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/10.1029/2024WR037331
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: authors.elsevier.com/c/1jTuq…
Thanks to my PhD supervisor @AshutoshHydro
@doh_iitr @iitroorkee
Dr. Nikunj Mangukiya retweeted
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/pre…
@SUMITSE14587600 @ThakuriPratikS
