Mukesh Kumar
Associate Professor, Civil, Construction and Environmental Engineering, University of Alabama
Kumar's page
PhD, Civil Engineering, Pennsylvania State University, 2009
My research is geared towards understanding and prediction of hydrologic processes at multiple scales. Primarily, I seek to understand the impacts of heterogenity (of landcover and hydrogeology), seasonality (of vegetation and meteorologic forcings) and changes (in landuse/landcover and climate) on spatial and temporal distribution of water quantity and quality. I am also interested in understanding the feedbacks between different parts of hydrologic continua and the physical environment. To achieve these goals, I work on hypothesis testing through data analysis, and design, verification and application of numerical models. To facilitate the use of models over a range of scales and settings, I also work on design of model interfaces and algorithms that can take advantage of high performance computing infrastructure.
Phone/Address
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CZO Publications
Papers/Books
2020
Impact of gully incision on hillslope hydrology. Chen, Xing, Mukesh Kumar, Daniel deB. Richter, and Yair Mau (2020): Hydrological Processes 34(19): 3848-3866
2019
Gradient‐based inverse estimation for a rainfall‐runoff model. Krapu, Christopher, Mark Borsuk, Mukesh Kumar (2019): Water Resources Research 55: 6625-6639
2019
Reduced resilience as an early warning signal of forest mortality. Liu, Yanlan, Mukesh Kumar, Gabriel G. Katul, & Amilcare Porporato (2019): Nature Climate Change 9: 880-885
2019
On the role of spatial resolution on snow estimates using a process‐based snow model across a range of climatology and elevation. Sohrabi, Mohammad M., Daniele Tonina, Rohan Benjankar, Mukesh Kumar, Patrick Kormos, Danny Marks, Charlie Luce (2019): Hydrological Processes 33: 1260-1275
2019
Intercomparing varied erosion, deposition and transport process representations for simulating sediment yield. Zi, Tan, Mukesh Kumar, and John Albertson (2019): Scientific Reports 9, Article number: 12029
2018
Using nested discretization for a detailed yet computationally efficient simulation of local hydrology in a distributed hydrologic model. Wang, Dongdong, Yanlan Liu, and Mukesh Kumar (2018): Scientific Reports 8: Article number 5785
2017
Expanding the role of reactive transport models in critical zone processes. Li Li, Kate Maher, Alexis Navarre-Sitchler, Jenny Druhan, Christof Meile, Corey Lawrence, Joel Moore, Julia Perdrial, Pamela Sullivan, Aaron Thompson, Lixin Jin, Edward W. Bolton, Susan L. Brantley, William E. Dietrich, K. Ulrich Mayer, Carl I. Steefel, Albert Valocchi, John Zachara, Benjamin Kocar, Jennifer Mcintosh, Benjamin M. Tutolo, Mukesh Kumar, Eric Sonnenthal, Chen Bao, Joe Beisman (2017): Earth-Science Reviews, 165:280-301 Cross-CZO
2017
Increasing atmospheric humidity and CO2 concentration alleviate forest mortality risk. Liu, Yanlan, Anthony J. Parolari, Mukesh Kumar, Cheng-Wei Huang, Gabriel G. Katul, and Amilcare Porporato (2017): PNAS 114 (37): 9918-9923
2016
Assessment of the timing of daily peak streamflow in a snow dominated watershed. Chen, X., Kumar, M., Wang, R., Winstral, A., and D. Marks (2016): Journal of Hydrometeorology 17: 2225-2244 Cross-CZO
2016
Role of meteorological controls on interannual variations in wet‐period characteristics of wetlands. Liu, Y. and Kumar, M. (2016): Water Resources Research 52(7): 5056-5074
2016
Simulating the spatio-temporal dynamics of soil erosion, deposition, and yield using a coupled sediment dynamics and 3D distributed hydrologic model. Zi, T., Kumar, M., Kiely, G., Lewis, C., and Albertson, J. (2016): Environmental Modelling & Software 83: 310-325
2015
Variations in streamflow response to large hurricane-season storms in a southeastern US watershed. Chen, X., M. Kumar, and B.L. McGlynn (2015): Journal of Hydrometeorology 16: 55-69
2015
Exploring the role of domain partitioning on efficiency of parallel distributed hydrologic model simulations. Kumar, M., and Duffy, C. J. (2015): Journal of Hydrogeology & Hydrologic Engineering 4: 1-12 Cross-CZO
2014
Quantitative understating of daily streamflow peak timing and its seasonal variations in a snow dominated watershed. Chen, X., M. Kumar, R. Wang, A. Winstral and D. Marks (2014): Water Resources Research
2013
Anomalous trend in soil evaporation in semi-arid, snow-dominated watersheds. Wang, R., M. Kumar and D. Marks (2013): Advances in Water Resources, 57: 32-40
2010
An object-oriented shared data model for GIS and distributed hydrologic models. Kumar, M., Bhatt, G., and Duffy, C.J. (2010): International Journal of Geographical Information Science 24 (7):1061-1079
Papers and books that explicitly acknowledge a CZO grant are highlighted in PALE ORANGE.
Other CZO Publications
2019
Forgotten Interactions: Missing Link in the Ecohydrologic Prediction Puzzle. Kumar, Mukesh, Christopher Krapu, Yanlan Liu, Anthony Parolari, Gabriel George Katul, Amilcare M Porporato, Mark E Borsuk (2019): American Geophysical Union Fall Meeting, San Francisco, CA, December 9-13, 2019
2019
Detecting Climate-Stress Induced Forest Mortality Before the Canonical Symptoms Appear. Kumar, Mukesh, Yanlan Liu, Gabriel George Katul, Amilcare M Porporato (2019): American Geophysical Union Fall Meeting, San Francisco, CA, December 9-13, 2019
2019
Calhoun CZO Annual Report 2019. Richter, D., Kumar, M., McGlynn, B.L., Palmorth, S., Porporato, A. (2019): NSF Award #1331846
2018
Potential impacts of climate change on tree mortality risk: Do plant hydraulic traits matter?. Kumar, M., Y. Liu, A. Parolari, C.-W. Huang, G.G. Katul, A.M. Porporato (2018): American Geophysical Union 2018 Fall Meeting, Washington, DC, 10-14 Dec 2018
2018
Synergistic data analytics and physical modeling for improved understanding of vegetation dynamics under climatological stress: a key uncertainty in ecosystem management. Liu, Y., M. Kumar, G.G. Katul, A. Parolari, A.M. Porporato, C.-W. Huang, A. Konings (2018): American Geophysical Union 2018 Fall Meeting, Washington, DC, 10-14 Dec 2018
2018
Reduced resilience as a potential early warning signal of forest mortality. Liu, Y., M. Kumar, G.G. Katul, and A. Porporato (2018): Ecological Society of America Annual Meeting, August 5-10, 2018, New Orleans, Louisiana
2018
Calhoun CZO Annual Report 2018. Richter, D., Kumar, M., McGlynn, B.L., Palmorth, S., Porporato, A. (2018): NSF Award #1331846
2017
Impact of gullying on hillslope hydrology at the Calhoun Critical Zone Observatory. Chen, Xing, Mukesh Kumar, Daniel deB. Richter, Yair Mau (2017): Calhoun CZO 2017 Summer Science Meeting, Union, SC, 17-18 May 2017
2017
On the effectiveness of recession analysis methods for capturing the characteristic storage-discharge relation: An intercomparison study. Chen, Xing, Mukesh Kumar, Stefano Basso, Marco Marani (2017): American Geophysical Union 2017 Fall Meeting, New Orleans, Louisiana, 11-15 December 2017
2017
Intercomparing model configurations with varied erosion, deposition and transport representations for simulating sediment yield. Kumar, Mukesh, Tan Zi, John D Albertson (2017): American Geophysical Union 2017 Fall Meeting, New Orleans, Louisiana, 11-15 December 2017
2017
Increasing atmospheric humidity and CO2 concentrations alleviate forest mortality risk. Liu, Yanlan, Anthony Parolari, Mukesh Kumar, Cheng-Wei Huang, Gabriel Katul, Amilcare Porporato (2017): Calhoun CZO 2017 Summer Science Meeting, Union, SC, 17-18 May 2017
2017
Detection of early warning signals of forest mortality in California. Liu, Yanlan, Mukesh Kumar, Gabriel George Katul, Amilcare M Porporato (2017): American Geophysical Union 2017 Fall Meeting, New Orleans, Louisiana, 11-15 December 2017
2017
Annual Report 2017: Human and Natural Forcings of Critical Zone Dynamics and Evolution at the Calhoun Critical Zone Observatory. Richter, D. (2017): NSF Award #1331846
2016
Impact of gullying on hillslope hydrology at the Calhoun Critical Zone Observatory. Chen, Xing, and Mukesh Kumar (2016): American Geophysical Union 2016 Fall Meeting, San Francisco, CA
2016
Impact of deforestation and recovery on streamflow recession statistics. Krapu, Christopher, and Mukesh Kumar (2016): American Geophysical Union 2016 Fall Meeting, San Francisco, CA
2016
Increasing atmospheric humidity and CO2 concentration alleviate forest hydraulic failure risk. Liu, Y.; Parolari, A.; Kumar, M.; Porporato, A. M.; Katul, G. G. (2016): American Geophysical Union 2016 Fall Meeting, San Francisco, CA
2016
Annual Report 2016: Human and Natural Forcings of Critical Zone Dynamics and Evolution at the Calhoun Critical Zone Observatory. Richter, D. (2016): NSF Award #1331846
2015
Inter-comparison of methods for deriving storage-discharge relation based on streamflow records. Chen, X., Kumar, M. (2015): American Geophysical Union Fall Meeting, December 2015, San Francisco, CA
2015
Optimal groundwater and soil moisture sensor placement for estimation of event streamflow. Krapu, C.; Kumar, M. (2015): American Geophysical Union Fall Meeting, December 2015, San Francisco, CA
2015
Role of meteorological controls on the inter-annual groundwater dynamics of wetlands in a southeastern US watershed. Liu, Y; Kumar, M. (2015): American Geophysical Union Fall Meeting, December 2015, San Francisco, CA
2015
Annual Report 2015: Human and Natural Forcings of Critical Zone Dynamics and Evolution at the Calhoun Critical Zone Observatory. Richter, D. (2015): NSF Award #1331846
2014
Understanding the Variations in Flood Responses to Tropical-Storms and Hurricanes. Kumar, M., Chen, X., and McGlynn, B. (2014): American Geophysical Union annual meeting, San Francisco, California, December, 2014
2011
'Age' of water: a physics based, fully coupled, distributed model for watershed assessment. Bhatt, G., Yu, X., Duffy, C., Kemanian, A., Kumar, M., Leonard, L.N. (2011): AGU Annual Fall Conference Proceedings
2011
Hyporheic Zone Study at Susquehanna/Shale Hills Critical Zone Observatory. Yu, X., Duffy, C., Bhatt, G., Kumar, M. (2011): AGU Annual Fall Conference Proceedings
2011
Wetlands Response to Climate Change across Susquehanna River Basin. Yu, X., Duffy, C., Bhatt, G., Kumar, M. (2011): AGU Annual Fall Conference Proceedings
2010
Identification and Classification of Wetlands using Physics based Distributed Hydrologic Model. Bhatt, G., Kumar, M., Duffy, C., Dressler, K.A., Wardrop, D.H. (2010): AGU Annual Fall Conference Proceedings
2010
Watershed reanalysis: data assimilation from strip charts to embedded sensor networks (Invited). Duffy, C., Kumar, M., Bhatt, G., Leonard, L.N., Yu, X., Shi, Y., Davis, K.J., Holmes, G. (2010): AGU Annual Fall Conference Proceedings
2010
Understanding and Prediction: An Evolving Paradigm for Modeling Hydrologic Process Feedbacks at Multiple Scales. Kumar, M., Duffy, C., Bhatt, G. (2010): AGU Annual Fall Conference Proceedings
2010
Real-Time Implementation of the Penn State Integrated Hydrologic Modeling System: The Shale Hills Critical Zone Observatory. Yu, X., Duffy, C., Bhatt, G., Shi, Y., Leonard, L.N., Kumar, M. (2010): AGU Annual Fall Conference Proceedings
2009
Toward a Hydrologic Modeling System, . Kumar, M., (2009): Doctor of Philosophy, Civil Engineering, The Pennsylvania State University, p. 251.
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More Info
Kumar has collaborated with Shale Hills and Southern Sierra CZOs. His PhD Advisor was Chris Duffy at Penn State.
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Models
PIHM_DOC
Penn State Integrated Hydrological Model for Dissolved Organic Carbon
PIHM is a physically based, fully distributed hydrological model
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