Kanak Kanti Kar
@kanakkantikar.bsky.social
PhD Candidate @unlincoln.bsky.social | Bangladeshi | 1st Gen. University Student | Interested in Large Scale Hydrology | Machine Learning | Statistical Analysis
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...
Paper link: doi.org/10.1016/j.jh...
July 25, 2025 at 11:05 PM
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...
Paper link: doi.org/10.1016/j.jh...
Reposted by Kanak Kanti Kar
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
@kanakkantikar.bsky.social
onlinelibrary.wiley.com/doi/full/10....
#MachineLearning
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....
onlinelibrary.wiley.com
March 21, 2025 at 3:42 AM
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
@kanakkantikar.bsky.social
onlinelibrary.wiley.com/doi/full/10....
#MachineLearning
Reposted by Kanak Kanti Kar
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.
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
#hydrologicalprocesses
March 21, 2025 at 2:21 AM
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.
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
#hydrologicalprocesses
March 20, 2025 at 3:10 PM
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
#hydrologicalprocesses