|
Peer-Reviewed Journals
|
Conference Talks
|
Book Chapters and Reports
|
Peer-Reviewed Journal Articles
** indicates student(s) supervised. IF indicates the journal Impact Factor.
See the updated list in Google Scholar
[32] Human alterations of the global floodplains 1992-2019, Nature Scientific Data 2023. DOI: 10.1038/s41597-023-02382-x [IF = 11.2] **Co-authored with PhD student Qianjin Zheng and undergraduate student Itohaosa Isibor
[31] Mapping global non-floodplain wetlands, Earth System Science Data 2023. DOI: 10.5194/essd-15-2927-2023 [IF = 12.2]
[30] River basin simulations reveal wide-ranging wetland-mediated nitrate reductions, Environmental Science & Technology 2023. DOI: 10.1021/acs.est.3c02161 [IF = 11.4]
[29] Evaluating topography-based approaches for fast floodplain mapping in data-scarce complex-terrain regions: Findings from a Himalayan basin, Journal of Hydrology 2023. DOI: 10.1016/j.jhydrol.2023.129309 [IF = 6.4]
[28] Avert Bangladesh's looming water crisis through open science and better data, Nature 2022. DOI: 10.1038/d41586-022-03373-5 [IF = 69.5]
[27] Cyber-enabled autocalibration of hydrologic models to support Open Science,” Environmental Modelling & Software 2022. DOI: 10.1016/j.envsoft.2022.105561 [IF = 4.9]
[26] The rise of cyberinfrastructures for environmental applications, ASABE Resource: Special Issue on Digital Water 2022. https://elibrary.asabe.org/abstract.asp?aid=53524 [Author’s copy: https://doi.org/10.6084/m9.figshare.20212748 ]
[25] The changing face of floodplains in the Mississippi River Basin detected by a 60-year land use change dataset, Nature Scientific Data 2021. DOI: 10.1038/s41597-021-01048-w [IF = 11.2] **Co-authored with PhD student Qianjin Zheng
[24] Improving global flood and drought predictions: integrating non-floodplain wetlands into watershed hydrologic models, Environmental Research Letters 2021. DOI: 10.1088/1748-9326/ac1fbc [IF = 6.9]
[23] Wetland restoration yields dynamic nitrate responses across the Upper Mississippi River Basin, Environmental Research Communications 2021. DOI: 10.1088/2515-7620/ac2125 [IF = 2.9]
[22] Improving agricultural water management in data-scarce semi-arid watersheds: Value of integrating remotely sensed leaf area index in hydrological modeling, Science of the Total Environment 2021. DOI: 10.1016/j.scitotenv.2021.148177 [IF = 10.8]
[21] Direct integration of numerous dams and reservoirs outflow in continental scale hydrologic modeling, Water Resources Research 2021. DOI: 10.1029/2020WR029544 [IF = 5.4]
[20] Surface depression and wetland water storage improves major river basin hydrologic predictions, Water Resources Research 2020. DOI: 10.1029/2019WR026561 [IF = 5.4] Among the journal's top 10 most downloaded articles in 2020
[19] Towards a large-scale locally relevant flood inundation modeling framework using SWAT and LISFLOOD-FP, Journal of Hydrology 2020. DOI:10.1016/j.jhydrol.2019.124406 [IF = 6.4]
[18] Watershed modeling with remotely sensed Big Data: MODIS Leaf Area Index improves hydrology and water quality predictions, Remote Sensing 2020. DOI: 10.3390/rs12132148 [IF = 5.0]
[17] Non-floodplain wetlands affect watershed nutrient dynamics: A critical review, Environmental Science & Technology 2019. DOI:10.1021/acs.est.8b07270 [IF = 11.4]
[16] Hydrologic model predictability improves with spatially explicit calibration using remotely sensed evapotranspiration and biophysical parameters, Journal of Hydrology 2018. DOI:10.1016/j.jhydrol.2018.10.024 [IF = 6.4]
[15] Rationale and efficacy of assimilating remotely sensed potential evapotranspiration for reduced uncertainty of a hydrologic model, Water Resources Research 2018. DOI:10.1029/2017WR021147 [IF = 5.4]
[14] Spatio-temporal evaluation of simulated evapotranspiration and streamflow over Texas using the WRF-Hydro-RAPID modeling framework, Journal of the American Water Resources Association 2018. DOI:10.1111/1752-1688.12585 [IF = 2.4]
[13] Large scale spatially explicit modeling of blue and green water dynamics in a temperate mid-latitude basin, Journal of Hydrology 2018. DOI:10.1016/j.jhydrol.2018.02.071 [IF = 6.4]
[12] Comparison of new generation low-complexity flood inundation mapping tools with a hydrodynamic model, Journal of Hydrology 2018. DOI:10.1016/j.jhydrol.2017.11.036 [IF = 6.4]
[11] Hydrologic response to future land use change in the Upper Mississippi River Basin by the end of 21st century, Hydrological Processes 2017. DOI:10.1002/hyp.11282 [IF = 3.2]
[10] Spatial and temporal evaluation of hydrological response to climate and land use change in three South Dakota watersheds, Journal of the American Water Resources Association 2017. DOI:10.1111/1752-1688.12483 [IF = 2.4]
[9] Streamflow response to potential land use and climate changes in the James River watershed, Midwest United States, Journal of Hydrology: Regional Studies 2017. DOI:10.1016/j.ejrh.2017.11.004 [IF = 4.7]
[8] Design of a metadata framework for environmental models with an example hydrologic application in HydroShare, Environmental Modelling & Software 2017. DOI:/10.1016/j.envsoft.2017.02.028 [IF = 4.9]
[7] SWATShare – A web platform for collaborative research and education through online sharing, simulation and visualization of SWAT models, Environmental Modelling & Software 2016. DOI:10.1016/j.envsoft.2015.10.032 [IF = 4.9]
[6] Multi-objective calibration of a hydrologic model using spatially distributed remotely sensed/in-situ soil moisture, Journal of Hydrology 2016. DOI:10.1016/j.jhydrol.2016.02.037 [IF = 6.4]
[5] Improving soil moisture accounting and streamflow prediction in SWAT by incorporating a modified time‐dependent Curve Number method, Hydrological Processes 2016. DOI:10.1002/hyp.10639 [IF = 3.2]
[4] Modeling the effects of future land use change on water quality under multiple scenarios: a case study of low-input agriculture with hay/pasture production, Sustainability of Water Quality and Ecology 2016. DOI:10.1016/j.swaqe.2016.09.001 [IF = 1.6]
[3] Improved sustainability of water supply options in areas with arsenic-impacted groundwater, Water 2013. DOI:10.3390/w5041941 [IF = 3.4]
[2] A comprehensive modeling study on Regional Climate Model application- regional warming projections in monthly resolution under IPCC A1B scenario, Atmosphere 2012. DOI:10.3390/atmos3040557 [IF = 2.9]
[1] Evaluating technological resilience of small drinking water systems under the projected changes of climate, Journal of Water and Climate Change 2012. DOI:10.2166/wcc.2012.019 [IF = 2.8]
Conference Talks
** indicates student(s) supervised
[20] Rajib, A., Golden, H., Lane, C., Wu, Q. “Surface depression water storage improves continental scale modeling for watershed management”. AGU Fall Meeting, San Francisco, California, USA, 9-13 December, 2019. LINK
[19] Golden, H., Rajib, A., Mengistu, S., Lane, C., Christensen, J. et al., “Do wetlands mediate nutrients at watershed scales? Insights from big data and models”. Ecological Society of America Annual Meeting, Louisville, Kentucky, USA, 11–16 August, 2019. LINK
[18] Rajib, A., Zhao, L., Merwade, V., Kim, I L., Shin, J., Song, X., Golden, H., Lane, C. “Bridging the gap between remotely sensed big data and watershed hydrologic models”. AGU Fall Meeting, Washington D.C., USA, 10 – 14 December, 2018. LINK
[17] Rajib, A., Golden, H., Lane, C., Wu, Q. “Landscape-river corridor storage affects watershed hydrologic dynamics: inferences from a large-scale model”. AGU Fall Meeting, Washington D.C., USA, 10–14 December, 2018. LINK
[16] Golden, H., Rajib, A., Mengistu, S., Lane, C., Christensen, J. et al., “How do natural infrastructure mediate water quality across large river basins? Insights from big data and modeling”. AGU Fall Meeting, Washington D.C., USA, 10 – 14 December, 2018. LINK
[15] Zhao, L., Kim, I L., Shin, J., Rajib, A., Merwade, V., Song, C. “Developing a collaborative hydrological modeling platform”. Practice and Experience in Advanced Research Computing (PEARC) Conference, Pittsburgh, Pennsylvania, USA, 24 –26 July, 2018 [60% acceptance rate]. LINK
[14] Merwade, V., Rajib, A., Liu, Z., Lane, C., Golden, H. et al. “Transforming SWAT for continental-scale high-resolution modeling of floodplain dynamics: opportunities and challenges”. AGU Fall Meeting, New Orleans, Louisiana, USA, 11– 15 December, 2017. LINK
[13] Rajib, A., Grey, E., Golden, H., Lane, C. “Spatially distributed assimilation of remotely sensed Leaf Area Index and Potential Evapotranspiration for hydrologic modeling in wetland landscapes”. AGU Fall Meeting, New Orleans, Louisiana, USA, 11– 15 December, 2017. LINK
[12] Rajib, A., Merwade, V., Zhao, L., Shin, J., Smith, J., Song, C. “HydroGlobe – A cyber-enabled platform for auto-extraction and processing of earth observations for hydrologic analysis”. 5th CUAHSI Conference on Hydroinformatics, Alabama, USA, 25 – 27 July, 2017. LINK
[11] Rajib, A., Grey, E., Golden, H., Lane, C. “Incorporating remotely sensed evapotranspiration in a hydrologic model improves representation of geographically isolated wetlands”. AWRA Spring Speciality Conference, Snow Bird, Utah, USA, 30 April – 3 May, 2017. LINK
[10] Rajib, A., Golden, H., Lane, C., Grey, E., D’Amico, E. “Quantifying hydrological effects of wetlands at large spatial scales: The Upper Mississippi River Basin”. EPA Office of Research and Development National Post-Doctoral Fellow Forum, Durham, North Carolina, USA, 11– 12 April, 2017. LINK
[9] Rajib, A., Merwade, V. “Ingestion of remotely sensed potential evapotranspiration for enhanced soil moisture accounting and streamflow simulation in hydrologic models”. AGU Fall Meeting, San Francisco, California, USA, 12-16 December, 2016. LINK
[8] Merwade, V., Rajib, A., Ruddell, B., Fox, S. “Using SERC for creating and publishing student generated hydrology instruction materials”. AGU Fall Meeting, San Francisco, California, USA, 12-16 December, 2016. [Invited] LINK
[7] Rajib, A., Kim, I L., Merwade, V., Zhao, L., Song, C. X. “SWATFlow: A platform providing high resolution river flow information for enhanced water resources management, education and research”. WaterSmart Innovations Conference, Las Vegas, Nevada USA, 4-6 October, 2016. [UCOWR Student Scholar Nomination]
[6] Rajib, A., Kim, I L., Merwade, V., Zhao, L., Song, C. X. “SWATFlow: A new platform for communicating high resolution river information to public domain for enhanced water resources management, research and education”. 10th Annual Ecological Sciences & Engineering Symposium, Purdue University, USA, 28 September, 2016. [Winner of Audience Choice Award] LINK
[5] Rajib, A., Merwade, V., Tavakoly, A. “Multi-model comparison for flood predictability along the high resolution National Hydrography stream network over large scales”. AWRA Summer Specialty Conference, Sacramento, California, USA, 11-13 July, 2016. LINK
[4] Rajib, A., Merwade, V., Liu Z. “Large scale high resolution flood inundation mapping in near real-time”. 40th Anniversary of the Association of State Flood Plain Managers National Conference, Grand Rapids, Michigan, USA, 19-24 June, 2016. [Winner of Best Research Paper Award] LINK
[3] Paul, M., Ahiablame, L., Rajib, A. “Variation in hydrologic response to climate and land use change in South Dakota watersheds”. NSF Food-Energy-Water Nexus Workshop, South Dakota School of Mines & Technology, USA, 19-20 October, 2015. LINK
[2] Rajib, A., Merwade, V. “Multi-objective calibration approach for SWAT by using spatially distributed remotely sensed/in-situ soil moisture data”. International SWAT Conference, Purdue University, USA, 12-16 October, 2015. LINK
[1] Rajib, A., Merwade, V. “RWater: A cyber-enabled data-driven tool for enhancing hydrology education”, 8th Annual Ecological Sciences & Engineering Symposium, Purdue University, USA, 20 October, 2014. [Winner of Audience Choice Award] LINK
Book Chapters & Reports
[2] Merwade, V., Rajib, A., Liu, Z. 2018. “An integrated approach for flood inundation modeling on large scales”. In Jung and Wang (Eds.), Bridging Science and Policy Implication for Managing Climate Extremes, pp. 133-155. DOI: 10.1142/9789813235663_0009. Download Link
[1] Maidment, D., Rajib, A., Lin, P., Clark, E. (Eds.) 2016. National Water Center Innovators Program Summer Institute Report 2016, CUAHSI Technical Report 13, USA, 122p. DOI: 10.4211/technical.20161019.
** indicates student(s) supervised. IF indicates the journal Impact Factor.
See the updated list in Google Scholar
[32] Human alterations of the global floodplains 1992-2019, Nature Scientific Data 2023. DOI: 10.1038/s41597-023-02382-x [IF = 11.2] **Co-authored with PhD student Qianjin Zheng and undergraduate student Itohaosa Isibor
[31] Mapping global non-floodplain wetlands, Earth System Science Data 2023. DOI: 10.5194/essd-15-2927-2023 [IF = 12.2]
[30] River basin simulations reveal wide-ranging wetland-mediated nitrate reductions, Environmental Science & Technology 2023. DOI: 10.1021/acs.est.3c02161 [IF = 11.4]
[29] Evaluating topography-based approaches for fast floodplain mapping in data-scarce complex-terrain regions: Findings from a Himalayan basin, Journal of Hydrology 2023. DOI: 10.1016/j.jhydrol.2023.129309 [IF = 6.4]
[28] Avert Bangladesh's looming water crisis through open science and better data, Nature 2022. DOI: 10.1038/d41586-022-03373-5 [IF = 69.5]
[27] Cyber-enabled autocalibration of hydrologic models to support Open Science,” Environmental Modelling & Software 2022. DOI: 10.1016/j.envsoft.2022.105561 [IF = 4.9]
[26] The rise of cyberinfrastructures for environmental applications, ASABE Resource: Special Issue on Digital Water 2022. https://elibrary.asabe.org/abstract.asp?aid=53524 [Author’s copy: https://doi.org/10.6084/m9.figshare.20212748 ]
[25] The changing face of floodplains in the Mississippi River Basin detected by a 60-year land use change dataset, Nature Scientific Data 2021. DOI: 10.1038/s41597-021-01048-w [IF = 11.2] **Co-authored with PhD student Qianjin Zheng
[24] Improving global flood and drought predictions: integrating non-floodplain wetlands into watershed hydrologic models, Environmental Research Letters 2021. DOI: 10.1088/1748-9326/ac1fbc [IF = 6.9]
[23] Wetland restoration yields dynamic nitrate responses across the Upper Mississippi River Basin, Environmental Research Communications 2021. DOI: 10.1088/2515-7620/ac2125 [IF = 2.9]
[22] Improving agricultural water management in data-scarce semi-arid watersheds: Value of integrating remotely sensed leaf area index in hydrological modeling, Science of the Total Environment 2021. DOI: 10.1016/j.scitotenv.2021.148177 [IF = 10.8]
[21] Direct integration of numerous dams and reservoirs outflow in continental scale hydrologic modeling, Water Resources Research 2021. DOI: 10.1029/2020WR029544 [IF = 5.4]
[20] Surface depression and wetland water storage improves major river basin hydrologic predictions, Water Resources Research 2020. DOI: 10.1029/2019WR026561 [IF = 5.4] Among the journal's top 10 most downloaded articles in 2020
[19] Towards a large-scale locally relevant flood inundation modeling framework using SWAT and LISFLOOD-FP, Journal of Hydrology 2020. DOI:10.1016/j.jhydrol.2019.124406 [IF = 6.4]
[18] Watershed modeling with remotely sensed Big Data: MODIS Leaf Area Index improves hydrology and water quality predictions, Remote Sensing 2020. DOI: 10.3390/rs12132148 [IF = 5.0]
[17] Non-floodplain wetlands affect watershed nutrient dynamics: A critical review, Environmental Science & Technology 2019. DOI:10.1021/acs.est.8b07270 [IF = 11.4]
[16] Hydrologic model predictability improves with spatially explicit calibration using remotely sensed evapotranspiration and biophysical parameters, Journal of Hydrology 2018. DOI:10.1016/j.jhydrol.2018.10.024 [IF = 6.4]
[15] Rationale and efficacy of assimilating remotely sensed potential evapotranspiration for reduced uncertainty of a hydrologic model, Water Resources Research 2018. DOI:10.1029/2017WR021147 [IF = 5.4]
[14] Spatio-temporal evaluation of simulated evapotranspiration and streamflow over Texas using the WRF-Hydro-RAPID modeling framework, Journal of the American Water Resources Association 2018. DOI:10.1111/1752-1688.12585 [IF = 2.4]
[13] Large scale spatially explicit modeling of blue and green water dynamics in a temperate mid-latitude basin, Journal of Hydrology 2018. DOI:10.1016/j.jhydrol.2018.02.071 [IF = 6.4]
[12] Comparison of new generation low-complexity flood inundation mapping tools with a hydrodynamic model, Journal of Hydrology 2018. DOI:10.1016/j.jhydrol.2017.11.036 [IF = 6.4]
[11] Hydrologic response to future land use change in the Upper Mississippi River Basin by the end of 21st century, Hydrological Processes 2017. DOI:10.1002/hyp.11282 [IF = 3.2]
[10] Spatial and temporal evaluation of hydrological response to climate and land use change in three South Dakota watersheds, Journal of the American Water Resources Association 2017. DOI:10.1111/1752-1688.12483 [IF = 2.4]
[9] Streamflow response to potential land use and climate changes in the James River watershed, Midwest United States, Journal of Hydrology: Regional Studies 2017. DOI:10.1016/j.ejrh.2017.11.004 [IF = 4.7]
[8] Design of a metadata framework for environmental models with an example hydrologic application in HydroShare, Environmental Modelling & Software 2017. DOI:/10.1016/j.envsoft.2017.02.028 [IF = 4.9]
[7] SWATShare – A web platform for collaborative research and education through online sharing, simulation and visualization of SWAT models, Environmental Modelling & Software 2016. DOI:10.1016/j.envsoft.2015.10.032 [IF = 4.9]
[6] Multi-objective calibration of a hydrologic model using spatially distributed remotely sensed/in-situ soil moisture, Journal of Hydrology 2016. DOI:10.1016/j.jhydrol.2016.02.037 [IF = 6.4]
[5] Improving soil moisture accounting and streamflow prediction in SWAT by incorporating a modified time‐dependent Curve Number method, Hydrological Processes 2016. DOI:10.1002/hyp.10639 [IF = 3.2]
[4] Modeling the effects of future land use change on water quality under multiple scenarios: a case study of low-input agriculture with hay/pasture production, Sustainability of Water Quality and Ecology 2016. DOI:10.1016/j.swaqe.2016.09.001 [IF = 1.6]
[3] Improved sustainability of water supply options in areas with arsenic-impacted groundwater, Water 2013. DOI:10.3390/w5041941 [IF = 3.4]
[2] A comprehensive modeling study on Regional Climate Model application- regional warming projections in monthly resolution under IPCC A1B scenario, Atmosphere 2012. DOI:10.3390/atmos3040557 [IF = 2.9]
[1] Evaluating technological resilience of small drinking water systems under the projected changes of climate, Journal of Water and Climate Change 2012. DOI:10.2166/wcc.2012.019 [IF = 2.8]
Conference Talks
** indicates student(s) supervised
[20] Rajib, A., Golden, H., Lane, C., Wu, Q. “Surface depression water storage improves continental scale modeling for watershed management”. AGU Fall Meeting, San Francisco, California, USA, 9-13 December, 2019. LINK
[19] Golden, H., Rajib, A., Mengistu, S., Lane, C., Christensen, J. et al., “Do wetlands mediate nutrients at watershed scales? Insights from big data and models”. Ecological Society of America Annual Meeting, Louisville, Kentucky, USA, 11–16 August, 2019. LINK
[18] Rajib, A., Zhao, L., Merwade, V., Kim, I L., Shin, J., Song, X., Golden, H., Lane, C. “Bridging the gap between remotely sensed big data and watershed hydrologic models”. AGU Fall Meeting, Washington D.C., USA, 10 – 14 December, 2018. LINK
[17] Rajib, A., Golden, H., Lane, C., Wu, Q. “Landscape-river corridor storage affects watershed hydrologic dynamics: inferences from a large-scale model”. AGU Fall Meeting, Washington D.C., USA, 10–14 December, 2018. LINK
[16] Golden, H., Rajib, A., Mengistu, S., Lane, C., Christensen, J. et al., “How do natural infrastructure mediate water quality across large river basins? Insights from big data and modeling”. AGU Fall Meeting, Washington D.C., USA, 10 – 14 December, 2018. LINK
[15] Zhao, L., Kim, I L., Shin, J., Rajib, A., Merwade, V., Song, C. “Developing a collaborative hydrological modeling platform”. Practice and Experience in Advanced Research Computing (PEARC) Conference, Pittsburgh, Pennsylvania, USA, 24 –26 July, 2018 [60% acceptance rate]. LINK
[14] Merwade, V., Rajib, A., Liu, Z., Lane, C., Golden, H. et al. “Transforming SWAT for continental-scale high-resolution modeling of floodplain dynamics: opportunities and challenges”. AGU Fall Meeting, New Orleans, Louisiana, USA, 11– 15 December, 2017. LINK
[13] Rajib, A., Grey, E., Golden, H., Lane, C. “Spatially distributed assimilation of remotely sensed Leaf Area Index and Potential Evapotranspiration for hydrologic modeling in wetland landscapes”. AGU Fall Meeting, New Orleans, Louisiana, USA, 11– 15 December, 2017. LINK
[12] Rajib, A., Merwade, V., Zhao, L., Shin, J., Smith, J., Song, C. “HydroGlobe – A cyber-enabled platform for auto-extraction and processing of earth observations for hydrologic analysis”. 5th CUAHSI Conference on Hydroinformatics, Alabama, USA, 25 – 27 July, 2017. LINK
[11] Rajib, A., Grey, E., Golden, H., Lane, C. “Incorporating remotely sensed evapotranspiration in a hydrologic model improves representation of geographically isolated wetlands”. AWRA Spring Speciality Conference, Snow Bird, Utah, USA, 30 April – 3 May, 2017. LINK
[10] Rajib, A., Golden, H., Lane, C., Grey, E., D’Amico, E. “Quantifying hydrological effects of wetlands at large spatial scales: The Upper Mississippi River Basin”. EPA Office of Research and Development National Post-Doctoral Fellow Forum, Durham, North Carolina, USA, 11– 12 April, 2017. LINK
[9] Rajib, A., Merwade, V. “Ingestion of remotely sensed potential evapotranspiration for enhanced soil moisture accounting and streamflow simulation in hydrologic models”. AGU Fall Meeting, San Francisco, California, USA, 12-16 December, 2016. LINK
[8] Merwade, V., Rajib, A., Ruddell, B., Fox, S. “Using SERC for creating and publishing student generated hydrology instruction materials”. AGU Fall Meeting, San Francisco, California, USA, 12-16 December, 2016. [Invited] LINK
[7] Rajib, A., Kim, I L., Merwade, V., Zhao, L., Song, C. X. “SWATFlow: A platform providing high resolution river flow information for enhanced water resources management, education and research”. WaterSmart Innovations Conference, Las Vegas, Nevada USA, 4-6 October, 2016. [UCOWR Student Scholar Nomination]
[6] Rajib, A., Kim, I L., Merwade, V., Zhao, L., Song, C. X. “SWATFlow: A new platform for communicating high resolution river information to public domain for enhanced water resources management, research and education”. 10th Annual Ecological Sciences & Engineering Symposium, Purdue University, USA, 28 September, 2016. [Winner of Audience Choice Award] LINK
[5] Rajib, A., Merwade, V., Tavakoly, A. “Multi-model comparison for flood predictability along the high resolution National Hydrography stream network over large scales”. AWRA Summer Specialty Conference, Sacramento, California, USA, 11-13 July, 2016. LINK
[4] Rajib, A., Merwade, V., Liu Z. “Large scale high resolution flood inundation mapping in near real-time”. 40th Anniversary of the Association of State Flood Plain Managers National Conference, Grand Rapids, Michigan, USA, 19-24 June, 2016. [Winner of Best Research Paper Award] LINK
[3] Paul, M., Ahiablame, L., Rajib, A. “Variation in hydrologic response to climate and land use change in South Dakota watersheds”. NSF Food-Energy-Water Nexus Workshop, South Dakota School of Mines & Technology, USA, 19-20 October, 2015. LINK
[2] Rajib, A., Merwade, V. “Multi-objective calibration approach for SWAT by using spatially distributed remotely sensed/in-situ soil moisture data”. International SWAT Conference, Purdue University, USA, 12-16 October, 2015. LINK
[1] Rajib, A., Merwade, V. “RWater: A cyber-enabled data-driven tool for enhancing hydrology education”, 8th Annual Ecological Sciences & Engineering Symposium, Purdue University, USA, 20 October, 2014. [Winner of Audience Choice Award] LINK
Book Chapters & Reports
[2] Merwade, V., Rajib, A., Liu, Z. 2018. “An integrated approach for flood inundation modeling on large scales”. In Jung and Wang (Eds.), Bridging Science and Policy Implication for Managing Climate Extremes, pp. 133-155. DOI: 10.1142/9789813235663_0009. Download Link
[1] Maidment, D., Rajib, A., Lin, P., Clark, E. (Eds.) 2016. National Water Center Innovators Program Summer Institute Report 2016, CUAHSI Technical Report 13, USA, 122p. DOI: 10.4211/technical.20161019.