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Kanak Kanti Kar

@kanakkantikar.bsky.social

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Kanak Kanti Kar @kanakkantikar.bsky.social · 26/07/2025

A new co-authored research paper on "Rain-on-snow (ROS) based flooding" got published recently. We showed how ROS events contribute to actual flooding and identified the causal structure leading to ROS floods in different regions of the globe. Paper link: doi.org/10.1016/j.jh...

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Reposted by Kanak Kanti Kar

ML Earth Sciences @mlearthsciences.bsky.social · 21/03/2025

This study used machine learning to identify key drivers of evapotranspiration, highlighting the importance of hydrometeorological and biomass variables for better predictions. @kanakkantikar.bsky.social onlinelibrary.wiley.com/doi/full/10.... #MachineLearning

onlinelibrary.wiley.com

Evapotranspiration Partitioning Using Flux Tower Data in a Semi‐Arid Ecosystem

The inclusion of biomass productivity variables alongside hydrometeorological variables improved the predictions of ET and its components. Soil water content, soil temperature and friction velocity p....

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Reposted by Kanak Kanti Kar

KinarNicholas.bsky.social @kinarnicholas.bsky.social · 21/03/2025

Hydrology Paper of the Day @kanakkantikar.bsky.social on partitioning ET using machine learning to determine the importance of drivers: hydroecological variables and datasets; application to the Reynolds Creek Critical Zone Observatory; random forests and explainable AI; and a novel framework.

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Kanak Kanti Kar @kanakkantikar.bsky.social · 20/03/2025

Happy to share our garden-fresh paper on "ET partitioning using flux tower data in a semi-arid ecosystem" (t.ly/7z9s8). It introduces that combining hydromet and biomass productivity variables improved the predictions of ET and its components. #hydrologicalprocesses

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