1. Kothari, K., R. Battisti, K.J. Boote, S.V. Archontoulis, A. Confalone, J. Constantin, S.V. Cuadra, P. Debaeke, B. Faye, B. Grant, G. Hoogenboom, Q. Jing, M. van der Laan, F.A.M. da Silva, F.R. Marin, A. Nehbandani, C. Nendel, L.C. Purcell, B. Qian, A.C. Ruane, C. Schoving, E.H.F.M. da Silva, W. Smith, A. Soltani, A. Srivastava, N.A. Vieira Jr., and M. Salmerón. 2024. Evaluating differences among crop models in simulating soybean in-season growth. Field Crops Research, 309: 109306. https://doi.org/10.1016/j.fcr.2024.109306

2. Das, D. P., K. Kothari, and A. Pandey. 2024. Comprehensive analysis of spatiotemporal variability of rainfall-based extremes and their implications on agriculture in the Upper Ganga Command Area. Environmental Monitoring and Assessment, 196(2), https://doi.org/10.1007/s10661-023-12265-8

3.    Kothari, K., R. Battisti, K.J. Boote, S.V. Archontoulis, A. Confalone, J. Constantin, S.V. Cuadra, P. Debaeke, B. Faye, B. Grant, G. Hoogenboom, Q. Jing, M. van der Laan, F.A.M. da Silva, F.R. Marin, A. Nehbandani, C. Nendel, L.C. Purcell, B. Qian, A.C. Ruane, C. Schoving, E.H.F.M. da Silva, W. Smith, A. Soltani, A. Srivastava, N.A. Vieira Jr., S. Slone, and M. Salmerón, 2022. Are soybean models ready for climate change food impact assessments? European Journal of Agronomy, 135:126482. https://doi.org/10.1016/j.eja.2022.126482

4.   Kothari, K., S. Ale, G.W. Marek, C.L. Munster, V.P. Singh, Y. Chen, T.H. Marek, and Q. Xue. Simulating the climate change impacts and evaluating potential adaptation strategies for irrigated corn production in Northern High Plains of Texas, 2022. Climate Risk Management, 37:100446.  https://doi.org/10.1016/j.crm.2022.100446

5.   Kothari, K., S. Ale, J.P. Bordovsky, C.L. Munster, V.P. Singh, J. Nielsen-Gammon, and G. Hoogenboom, 2021. Potential genotype-based climate change adaptation strategies for sustaining cotton production in the Texas High Plains: A simulation study. Field Crops Research, 271:108261. https://doi.org/10.1016/j.fcr.2021.108261

6.   Kothari, K., S. Ale, J.P. Bordovsky, D.O. Porter, C.L. Munster, and G. Hoogenboom. 2020. Potential benefits of genotype-based adaptation strategies for grain sorghum production in the Texas High Plains under climate change. European Journal of Agronomy, 117:126037. https://doi.org/10.1016/j.eja.2020.126037

7.   Ayankojo, I., K.R. Thorp, K.T. Morgan, K. Kothari, and S. Ale, 2020. Assessing the impacts of future climate on cotton production in the Arizona Low Desert. Transactions of the ASABE.63(4):1087–98. https://doi.org/10.13031/trans.13731

8.   Mauget, S., K. Kothari, G. Leiker, Y. Emendack, Z. Xin, C. Hayes, S. Ale, and L. Baumhardt. 2020. Optimizing SHP dryland sorghum production optimizing dryland crop management to regional climate. Part II: U.S. Southern High Plains sorghum production. Frontiers in Sustainable Food Systems, section Water-Smart Food Production, 3:119. https://doi.org/10.3389/fsufs.2019.00119

9.     Kothari, K., S. Ale, J.P. Bordovsky, and C.L. Munster. 2019. Assessing the climate change impacts on grain sorghum yield and irrigation water use under full and deficit irrigation strategies. Transactions of the ASABE, 63(1):81-94. https://doi.org/10.13031/trans.13465

10. Garibay, V.M., K. Kothari, S. Ale, D.C. Gitz, G.D. Morgan, and C.L. Munster. 2019. Determining water-use-efficient irrigation strategies for cotton using the DSSAT CSM CROPGRO-Cotton model evaluated with in-season data. Submitted to Agricultural Water Management, 223:10569. https://doi.org/10.1016/j.agwat.2019.105695  

11. Kothari, K., S. Ale, A. Attia, N. Rajan, Q. Xue, and C.L. Munster. 2019. Potential climate change adaptation strategies for winter wheat production in the Texas High Plains. Agricultural Water Management, 225:105764. https://doi.org/10.1016/j.agwat.2019.105764  

12.   Kothari, K., S. Ale, J.P. Bordovsky, K.R. Thorp, D.O. Porter, and C.L. Munster. 2019. Simulation of efficient irrigation management strategies for grain sorghum production over different climate variability classes. Agricultural Systems, 170:49–62. https://doi.org/10.1016/j.agsy.2018.12.011

1. ^§Singh, P., & Kothari, K.  (2023). Estimation of Evapotranspiration for Winter Wheat Crop through SEBAL using Satellite Products and Machine Learning: A Case Study of Haridwar District of Uttarakhand, India. AGU. December 11-15, 2023. San Francisco, CA, USA. [Oral]
2. ^§Vishwakarma, S.K., Kothari K., & Pandey, A. (2024). Evaluation of Different Irrigation Methods and Variable Rates of Irrigation Systems on Wheat Crop for Sustainable Water Management. International Conference on Future of Water Resources (ICFWR), January 18-20, 2024. IIT Roorkee, India. [Poster]
3. ^§Singh, P., & Kothari, K.  (2024). Regional Wheat Mapping and Yield Estimation using Machine Learning and Remote Sensing. International Conference on Future of Water Resources (ICFWR), January 18-20, 2024. IIT Roorkee, India. [Poster]
4. ^§Bhattarai, B., Vishwakarma, S.K., Kothari K., (2024). Estimating Biomass and Yield of Rice Across Diverse Irrigation and Fertilizer Rates Using UAV Remote Sensing. International Conference on Future of Water Resources (ICFWR), January 18-20, 2024. IIT Roorkee, India. [Poster]
5. ^§dos Santos, M., Kothari, K., Battisti, R., Boote, K. J., Archontoulis, S. V., Confalone, A., ... & Cortasa, M. S. (2023, November). Variability Among Multiple Soybean Models for Their Simulation of Crop N Dynamics Under Variable CO 2, Precipitation, and Nitrogen Fertilization. In ASA, CSSA, SSSA International Annual Meeting. ASA-CSSA-SSSA. Oct 29- Nov 1, 2023. St. Louis. MO, USA. [Oral]
6. ^§Cortasa, M.S., Kothari, K., Battisti, R., Boote, K.J., Archontoulis, S.V., Constantin, J., Cuadra, S.V., Debaeke, P., Babacar, F., Fleisher, D.H. and Grant, B. (2022), November. What Did We Learn from the Evaluation of Multiple Process-Based Soybean Models for Simulation of Evapotranspiration? ASA, CSSA, SSSA International Annual Meeting, Baltimore, Maryland, USA, Nov. 6-9, 2022. Paper No. 144078. [Oral]
7. Kothari, K., and ^§Ale, S. (2022). Assessing Climate Change Adaptation Strategies for Major Crops in the Texas High Plains. ASA, CSSA, SSSA International Annual Meeting, Baltimore, Maryland, USA, Nov. 6-9, 2022. Paper No. 142754. [Oral]
8. ^§Das, D.P., Kothari, K., Pandey, A. (2022). Assessment of Spatio-Temporal Variability of Green and Blue Water Evapotranspiration for Wheat Crop over Upper Ganga Command Area. AGU Fall Meeting 2022, Chicago, USA, H25O-1288. [Poster].
9. ^§Das, D.P., Kothari, K., Pandey, A. (2022). Analysis of long-term spatiotemporal rainfall variability and extreme characteristics using high-resolution atmospheric data over the Upper Ganga Command Area. In International Conference on Climate and Weather-related Extremes (ICCWE) 2022. Organized by Dept. of WRD&M, IIT Roorkee. Abstract No.: 2080. [Oral]
10. ^§Salmerón, M., K. Kothari, R. Battisti, K.J. Boote, S.V. Archontoulis, J. Constantin, S.V Cuadra, P. Debaeke, B. Faye, D.H. Fleisher, B. Grant, G. Hoogenboom, Q. Jing, B.A. Kimball, F. Leung, F R Marin, C. Nendel, E. Pattey, B. Qian, C. Schoving, V. Shelia, E.H.F.M. Silva, W. Smith, A. Srivastava, W. Sun, A. Suyker, K.R. Thorp, D. Timlin, N. Vieira Jr., and K. Williams. What Did We Learn from the Evaluation of Multiple Process-Based Soybean Models for Simulation of Evapotranspiration? ASA, CSSA, SSSA International Annual Meeting, Nov. 6–9, 2022.  Baltimore, MD. [Oral]
11. ^§Ale, S., Kothari, K. Assessing Climate Change Adaptation Strategies for Major Crops in the Texas High Plains. ASA, CSSA, SSSA International Annual Meeting, Nov. 6–9, 2022.  Baltimore, MD. [Oral, Invited presentation]
12. ^§Kothari, K., M. Salmerón, R. Battisti, K.J. Boote, S.V. Archontoulis, J. Constantin, S.V Cuadra, P. Debaeke, B. Faye, D.H. Fleisher, B. Grant, G. Hoogenboom, Q. Jing, B.A. Kimball, F. Leung, F R Marin, C. Nendel, E. Pattey, B. Qian, C. Schoving, V. Shelia, E.H.F.M. da Silva, W. Smith, A. Srivastava, W. Sun, A. Suyker, K.R. Thorp, D. Timlin, N. Vieira Jr., and K. Williams. How well can soybean models simulate daily evapotranspiration? ASA-CSSA-SSSA International Annual Meeting. Nov. 7–10, 2021. Salt Lake City, Utah. [Oral, Invited presentation]
13. ^§Salmerón, M., K. Kothari, R. Battisti, K.J. Boote, S.V. Archontoulis, J. Constantin, S.V Cuadra, P. Debaeke, B. Faye, D.H. Fleisher, B. Grant, G. Hoogenboom, Q. Jing, B.A. Kimball, F. Leung, F R Marin, C. Nendel, E. Pattey, B. Qian, C. Schoving, V. Shelia, E.H.F.M. Silva, W. Smith, A. Srivastava, W. Sun, A. Suyker, K.R. Thorp, D. Timlin, N. Vieira Jr., and K. Williams. Opportunities for improving simulation of evapotranspiration based on sensitivity analysis of multiple soybean models. ASA-CSSA-SSSA International Annual Meeting. Nov. 7–10, 2021. Salt Lake City, Utah. [Oral, Invited presentation]
14. ^§Ale, S., S. K. Himanshu, R.F. Simbi Mvuyekure, J. M. Bell, Y. Fan, K. Kothari, J.P. Bordovsky, D.C. Gitz, and D.K. Brauer. Evaluating crop-growth-stage-based variable deficit irrigation strategies for grain sorghum production in the Texas High Plains. ASA-CSSA-SSSA International Annual Meeting. Nov. 7–10, 2021. Salt Lake City, Utah. [Oral]
15. ^§Kothari, K., M. Salmerón, R. Battisti, K.J. Boote, S.V. Archontoulis, A. Confalone, J. Constantin, S.V. Cuadra, P. Debaeke, B. Faye, B. Grant, G. Hoogenboom, Q. Jing, M. van der Laan, F.A.M. da Silva,  F. R. Marin,, A. Nehbandani, C. Nendel, L.C. Purcell, B. Qian, A.C. Ruane, C. Schoving, E.H.F.M. da Silva, W. Smith, A. Soltani, A. Srivastava, and N. Vieira Jr. Multi‐model sensitivity analysis for prediction of soybean yield and N₂ fixation. ASA-CSSA-SSSA International Annual Meeting. November, 9–13 2020. VIRTUAL
16. ^§Salmerón, M., K. Kothari, R. Battisti, K.J. Boote, S.V. Archontoulis, J. Constantin, S.V. Cuadra, P. Debaeke, B. Faye, D.H. Fleisher, B. Grant, G. Hoogenboom, Q. Jing, B.A. Kimball, I. Kisekka, F. Leung, F.R. Marin, H. Meng, C. Nendel, B. Qian, C. Schoving, V. Shelia, E.H.F.M. da Silva, W. Smith, A. Srivastava, W. Sun, A.E. Suyker, K.R. Thorp, D. Timlin, N. Vieira Jr., K. Williams, and X. Xu. Evapotranspiration and water stress response in soybean: Multi-model sensitivity analysis. ASA-CSSA-SSSA International Annual Meeting. November, 9–13 2020. VIRTUAL
17. ^§Kothari, K., M. Salmerón, R.  Battisti, R., K.J. Boote, S.V. Archontoulis, A. Confalone, S.V. Cuadra, J. Constantin, P. Debaeke, B. Faye, B. Grant, G. Hoogenboom, Q. Jing, M. Van der Laan, F. Macena, F.R. Marin, A. Nehbandani, C. Nendel, L.C. Purcell, B. Qian, A. Ruane, E. da Silva, W. Smith, A. Soltani, A. Srivastava, N.A. Vieira Jr. 2020. First soybean multi-model sensitivity analysis to CO₂, temperature, water, and nitrogen. Second International Crop Modelling Symposium (iCROPM2020). Feb 3–5, 2020. Montpellier, France. [Poster]
18. ^§Salmerón, M., K. Kothari, R.  Battisti, R., K.J. Boote, S.V. Archontoulis, A. Confalone, S.V. Cuadra, J. Constantin, P. Debaeke, B. Faye, B. Grant, G. Hoogenboom, Q. Jing, M. Van der Laan, F. Macena, F.R. Marin, A. Nehbandani, C. Nendel, L.C. Purcell, B. Qian, A. Ruane, E. da Silva, W. Smith, A. Soltani, A. Srivastava, N.A. Vieira Jr. 2020. Soybean multi-model sensitivity analysis for prediction of biological N fixation and seed N concentration. Second International Crop Modelling Symposium (iCROPM2020). Feb 3–5, 2020. Montpellier, France. [Oral]
19. ^§Kothari, K., S. Ale, A. Attia, N. Rajan, Q. Xue, and C.L. Munster. 2019. Winter Wheat Production in the Texas High Plains Under Changing Climate: Potential Impacts and Adaptations. ASA-CSSA-SSSA International Annual Meeting. Nov. 10–11, 2019. San Antonio, Texas. [Oral]
20. ^§Kothari, K., M. Salmerón, R.  Battisti, R., K.J. Boote, S.V. Archontoulis, A. Confalone, S.V. Cuadra, J. Constantin, P. Debaeke, B. Faye, B. Grant, G. Hoogenboom, Q. Jing, M. Van der Laan, F. Macena, F.R. Marin, A. Nehbandani, C. Nendel, L.C. Purcell, B. Qian, A. Ruane, E. da Silva, W. Smith, A. Soltani, A. Srivastava, N.A. Vieira Jr. 2019. AgMIP Soybean Phase 1: Multi-Model Sensitivity Analysis to CO₂, Temperature, Water, and Nitrogen. ASA-CSSA-SSSA International Annual Meeting. Nov. 10–11, 2019. San Antonio, Texas. [Oral]
21. Kothari K., ^§S. Ale, J.P. Bordovsky, G. Hoogenboom, and C.L. Munster, 2019. Potential climate change adaptation strategies for cotton production in the Texas High Plains. ASABE Annual Meeting, Paper No. 1900648. July 7–10, 2019. Boston, MA. [Oral]
22. ^§Kothari K., S. Ale, J.P. Bordovsky, K.R. Thorp, D.O. Porter, G. Hoogenboom, and C.L. Munster, 2018. Simulation of water use efficient irrigation strategies and climate change adaptation scenarios for grain sorghum production in the Texas High Plains. Global Water Security Conference. October 3–6, 2018. Hyderabad, India. [Poster]
23. ^§Kothari K., S. Ale, J.P. Bordovsky, and C.L. Munster, 2018. Assessing the impacts of climate change on seasonal irrigation and water use efficiency of grain sorghum and cotton in the Texas High Plains. ASABE Annual Meeting, Paper No. 1800681. July 29–August 1, 2018. Detroit, MI. [Oral]
24. ^§Kothari K., S. Ale, J.P. Bordovsky, D.O. Porter, and C.L. Munster, 2018. Evaluation of water use efficient irrigation management strategies for grain sorghum production in the Texas High Plains using the CERES-Sorghum model. Water Daze. April 3, 2018. College Station, TX. [Poster]
25. ^§Kothari, K., S. Ale, J.P. Bordovsky, G. Hoogenboom, and C.L. Munster. 2017. Assessment of climate change impacts and evaluation of adaptation strategies for grain sorghum and cotton production in the Texas High Plains. AGU Fall Meeting, Dec. 11–15, 2017. New Orleans, LA. [Poster]
26. ^§Kothari, K., S. Ale, J.P. Bordovsky, K.R. Thorp, D.O. Porter, and C.L. Munster. 2017.  Assessing the Impacts of Historic and Future Climate Variability on Grain Sorghum Production in the Texas High Plains. ASABE Annual Meeting, Paper No. 1701403. July 16–19, 2017. Spokane, WA. [Oral]

Our lab is looking for enthusiastic candiadtes for JRF and PhD positions, in the field of regional crop modeling, satellite and UAV remote sensing, climate change adaptation, and irrigation water use efficiency. We use a combination of field experiments and simulation models. 

Qualifications and Skills: Masters in Agricultural/Civil Engineering, Agrometeorology, Remote Sensing and GIS, or related field. GATE/NET qualification is desirable. Programming skills R, Python, or Matlab. Experience with image processing software (Pix4d, AgiSoft, OpenDroneMap), hydrologic models (e.g., SWAT and VIC), and crop models (such as Aquacrop, DSSAT, APSIM, InforCrop) is desirable but not necessary.    

Interested candidates should send their CV at kritika.kothari@wr.iitr.ac.in