Assessment of NDVI Composites Using Merged NOAA-14 and NOAA-15 AVHRR Data. - Pei-yu Chen; Raghavan Srinivasan 001; Gunar Fedosejevs; Alma Delia Báez-González; Peng Gong (Ann. GIS, 2002)

A GIS-Coupled Hydrological Model System for the Watershed Assessment of Agricultural Nonpoint and Point Sources of Pollution. - Mauro Di Luzio; Raghavan Srinivasan 001; Jeffrey G. Arnold (Trans. GIS, 2004)

A modeling approach to evaluate the impacts of water quality management plans implemented in a watershed in Texas. - C. Santhi; Raghavan Srinivasan 001; Jeffrey G. Arnold; Jimmy R. Williams (Environ. Model. Softw., 2006)

GIS-based spatial precipitation estimation using next generation radar and raingauge data. - Xuesong Zhang; Raghavan Srinivasan 001 (Environ. Model. Softw., 2010)

A parallelization framework for calibration of hydrological models. - Elham Rouholahnejad; Karim C. Abbaspour; M. Vejdani; Raghavan Srinivasan 001; R. Schulin; Anthony Lehmann (Environ. Model. Softw., 2012)

Field_SWAT: A tool for mapping SWAT output to field boundaries. - Naresh Pai; Dharmendra Saraswat; Raghavan Srinivasan 001 (Comput. Geosci., 2012)

Efficient multi-objective calibration of a computationally intensive hydrologic model with parallel computing software in Python. - Xuesong Zhang; Peter Beeson; Robert Link; David H. Manowitz; Roberto César Izaurralde; Ali Sadeghi; Allison M. Thomson; Ritvik Sahajpal; Raghavan Srinivasan 001; Jeffrey G. Arnold (Environ. Model. Softw., 2013)

Setting up a hydrological model of Alberta: Data discrimination analyses prior to calibration. - Monireh Faramarzi; Raghavan Srinivasan 001; Majid Iravani; Kevin D. Bladon; Karim C. Abbaspour; Alexander J. B. Zehnder; Greg G. Goss (Environ. Model. Softw., 2015)

A model integration framework for linking SWAT and MODFLOW. - Jorge A. Guzman; Daniel N. Moriasi; Prasanna H. Gowda; Jean L. Steiner; Patrick J. Starks; Jeffrey G. Arnold; Raghavan Srinivasan 001 (Environ. Model. Softw., 2015)

Introducing a new open source GIS user interface for the SWAT model. - Yihun T. Dile; Prasad Daggupati; Chris George; Raghavan Srinivasan 001; Jeffrey G. Arnold (Environ. Model. Softw., 2016)

Improving SWAT auto-irrigation functions for simulating agricultural irrigation management using long-term lysimeter field data. - Yong Chen; Gary W. Marek; Thomas H. Marek; David K. Brauer; Raghavan Srinivasan 001 (Environ. Model. Softw., 2018)

Improved Hydrological Decision Support System for the Lower Mekong River Basin Using Satellite-Based Earth Observations. - Ibrahim Nourein Mohammed; John D. Bolten; Raghavan Srinivasan 001; Venkat Lakshmi (Remote. Sens., 2018)

Developing Land Use Land Cover Maps for the Lower Mekong Basin to Aid Hydrologic Modeling and Basin Planning. - Joseph Spruce; John D. Bolten; Raghavan Srinivasan 001; Venkat Lakshmi (Remote. Sens., 2018)

Effect of climate change on land suitability for surface irrigation and irrigation potential of the shallow groundwater in Ghana. - Abeyou W. Worqlul; Yihun T. Dile; Jaehak Jeong; Zenebe Adimassu; Nicole Lefore; Thomas Gerik; Raghavan Srinivasan 001; Neville Clarke (Comput. Electron. Agric., 2019)

Multisite evaluation of an improved SWAT irrigation scheduling algorithm for corn (Zea mays L.) production in the U.S. Southern Great Plains. - Yong Chen; Gary W. Marek; Thomas H. Marek; Prasanna H. Gowda; Qingwu Xue; Jerry E. Moorhead; David K. Brauer; Raghavan Srinivasan 001; Kevin R. Heflin (Environ. Model. Softw., 2019)

Development and improvement of the simulation of woody bioenergy crops in the Soil and Water Assessment Tool (SWAT). - Tian Guo 007; Bernard A. Engel; Gang Shao; Jeffrey G. Arnold; Raghavan Srinivasan 001; James R. Kiniry (Environ. Model. Softw., 2019)

Web-based decision support system tools: The Soil and Water Assessment Tool Online visualization and analyses (SWATOnline) and NASA earth observation data downloading and reformatting tool (NASAaccess). - Spencer McDonald; Ibrahim Nourein Mohammed; John D. Bolten; Sarva T. Pulla; Chinaporn Meechaiya; Amanda M. Markert; E. James Nelson; Raghavan Srinivasan 001; Venkat Lakshmi (Environ. Model. Softw., 2019)

Evaluation of Satellite-Based Rainfall Estimates in the Lower Mekong River Basin (Southeast Asia). - Chelsea Dandridge; Venkat Lakshmi; John D. Bolten; Raghavan Srinivasan 001 (Remote. Sens., 2019)

Realistic and simplified models of plant and leaf area indices for a seasonally dry tropical forest. - Rodrigo de Queiroga Miranda; Rodolfo Luiz Bezerra Nóbrega; Magna Soelma Beserra de Moura; Srinivasan Raghavan 001; Josiclêda Domiciano Galvíncio (Int. J. Appl. Earth Obs. Geoinformation, 2020)

User-friendly workflows for catchment modelling: Towards reproducible SWAT+ model studies. - Celray James Chawanda; Chris George; Wim Thiery; Ann van Griensven; Jaclyn Tech; Jeffrey Arnold; Raghavan Srinivasan 001 (Environ. Model. Softw., 2020)

Watershed scale evaluation of an improved SWAT auto-irrigation function. - Yong Chen; Gary W. Marek; Thomas H. Marek; Dana Porter; Jerry E. Moorhead; Kevin R. Heflin; David K. Brauer; Raghavan Srinivasan 001 (Environ. Model. Softw., 2020)

A Comparative Evaluation of the Performance of CHIRPS and CFSR Data for Different Climate Zones Using the SWAT Model. - Yeganantham Dhanesh; Vijayalekshmi Muraleedharan Bindhu; Javier Senent-Aparicio; Tássia Mattos Brighenti; Essayas Ayana; P. S. Smitha; Chengcheng Fei; Raghavan Srinivasan 001 (Remote. Sens., 2020)

Evaluation of Grid-Based Rainfall Products and Water Balances over the Mekong River Basin. - Kha Dang Dinh; Tran Ngoc Anh; Nhu Y. Nguyen; Du Duong Bui; Raghavan Srinivasan 001 (Remote. Sens., 2020)

Introducing a new post-processing tool for the SWAT+ model to evaluate environmental flows. - Javier Senent-Aparicio; Chris George; Raghavan Srinivasan 001 (Environ. Model. Softw., 2021)

An interactive graphical interface tool for parameter calibration, sensitivity analysis, uncertainty analysis, and visualization for the Soil and Water Assessment Tool. - Tam V. Nguyen 003; Jörg Dietrich; Thanh Duc Dang; Dang An Tran; Doan Van Binh; Fanny Sarrazin; Karim C. Abbaspour; Raghavan Srinivasan 001 (Environ. Model. Softw., 2022)