Email: mkumar4_at_ua_dot_edu
Phone: +1-205-348-0180 Address: 1004D Tom Bevill Bldg. 7th Ave., University of Alabama Tuscaloosa, AL, 35401 |
News:
- New: PhD opportunities available!!! Please apply. - Aug., 2019: Tan's paper titled "Intercomparing varied erosion, deposition, and transport process representations for simulating sediment yields" published in Nature-Scientific Reports. Congratulations Tan! - July, 2019: Chris's paper titled "Gradient-based inverse estimation for a rainfall-runoff model " published in Water Resources Research. Congratulations Chris! - July, 2019: Project titled "Food-Energy-Water Nexus in the Deep South: A Latent System Primed for Transition from Rain-fed to Irrigation-fed Agriculture" funded by NSF. more... |
Mukesh Kumar is an Associate Professor of Hydrology and Water Resources at University of Alabama (UA). He did his B.Tech from IIT Kanpur and Ph.D. from Pennstate University. Before joining UA, Mukesh was a faculty at Duke University.
Mukesh's research goal is to improve understanding and prediction of hydrologic processes. Primarily, he seeks to:
(a) assess the physical controls on hydrologic responses (e.g., JHM16, EMS16, JHM15, AWR13);
(b) evaluate the eco-hydrological impacts of variations/changes in landcover (e.g., WRR18, JGR14, JGR13) and climate (e.g., CC19, HESS17, PNAS17, WRR16, GRL16, GRL12);
(c) quantify the role of approximations in data (e.g., HP19, JH19, HP18, AWR13) and processes (e.g., SREP19, JGR16, AWR12) on hydrologic estimates.
To achieve these goals, Mukesh has co-developed several open-source numerical models (e.g., PIHM, FIHM, GaRM, FoRM, GeoTopSed, SPAC) and data analytics methods (e.g., JH09). To facilitate the use of models over a range of scales and settings, he has also worked on the design of model interfaces (e.g., PIHMgis) and efficient modeling strategies (e.g., SREP18, GIS09, pPIHM). Mukesh's research recognitions include Mahatma Gandhi Honor, NSF CAREER Award, UCOWR PhD Dissertation Award (2nd Prize), CUAHSI-CMWR Fellowship and Outstanding Student Paper Award at AGU. Mukesh's students have also received several honors including Outstanding Student Paper Award at AGU to Yanlan Liu, CUAHSI Pathfinder Fellowship to Bijan Seyednasrollah, and NASA Earth Science Fellowship, IGERT WiseNet Fellowship, James B Duke Fellowship and DUWC Research Grant to Chris Krapu.
Focus Areas: Watershed Hydrology, Snow Hydrology, Ecohydrology, Numerical Modeling, Geographic Information Systems (GISs).
----------------------------------------------------------------------------------------------------------------------------------------------------------------
Selected Projects:
Mukesh's research goal is to improve understanding and prediction of hydrologic processes. Primarily, he seeks to:
(a) assess the physical controls on hydrologic responses (e.g., JHM16, EMS16, JHM15, AWR13);
(b) evaluate the eco-hydrological impacts of variations/changes in landcover (e.g., WRR18, JGR14, JGR13) and climate (e.g., CC19, HESS17, PNAS17, WRR16, GRL16, GRL12);
(c) quantify the role of approximations in data (e.g., HP19, JH19, HP18, AWR13) and processes (e.g., SREP19, JGR16, AWR12) on hydrologic estimates.
To achieve these goals, Mukesh has co-developed several open-source numerical models (e.g., PIHM, FIHM, GaRM, FoRM, GeoTopSed, SPAC) and data analytics methods (e.g., JH09). To facilitate the use of models over a range of scales and settings, he has also worked on the design of model interfaces (e.g., PIHMgis) and efficient modeling strategies (e.g., SREP18, GIS09, pPIHM). Mukesh's research recognitions include Mahatma Gandhi Honor, NSF CAREER Award, UCOWR PhD Dissertation Award (2nd Prize), CUAHSI-CMWR Fellowship and Outstanding Student Paper Award at AGU. Mukesh's students have also received several honors including Outstanding Student Paper Award at AGU to Yanlan Liu, CUAHSI Pathfinder Fellowship to Bijan Seyednasrollah, and NASA Earth Science Fellowship, IGERT WiseNet Fellowship, James B Duke Fellowship and DUWC Research Grant to Chris Krapu.
Focus Areas: Watershed Hydrology, Snow Hydrology, Ecohydrology, Numerical Modeling, Geographic Information Systems (GISs).
----------------------------------------------------------------------------------------------------------------------------------------------------------------
Selected Projects:
What triggered wetland consolidation in Prairie Pothole Region? (@WRR18)
How forest mortality risks will be affected by changes in precipitation, temperature, relative humidity and CO2? (@PNAS17)
|
Can nested discretization reduce the time needed for hydrologic model calibration and simulation, while ensuring similar accuracy? (@SREP18)
How well can rainfall erosivity and soil moisture explain the daily suspended sediment yield from watersheds? (@EMS16)
|
