Subhrendu Gangopadhyay, PhD 1431 Wildrose Drive, Longmont, CO Cell Home

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1 Subhrendu Gangopadhyay, PhD 1431 Wildrose Drive, Longmont, CO Cell Home ENGINEERING SCIENTIST - CIVIL/WATER RESOURCES ENGINEERING Computing in Hydrology, Environment, and Water Resources Engineering Water resources engineer with progressive experience in scientific computing including research, development, teaching and consulting. AREAS OF EXPERTISE AND RESEARCH INTERESTS Data Modeling Stochastic Hydrology Ground Water Hydrology Surface Water Hydrology Non-parametric Statistics Hydroclimatology Fluid Mechanics and Hydraulics Water Policy and Management PROFESSIONAL EXPERIENCE HYDROSPHERE RESOURCE CONSULTANTS, Boulder, Colorado As senior water resources engineer, contributed to the following projects individually and in a team. Paleohydrology Non-parametric Statistics, 2005-present Non parametric reconstruction of tree-ring based hydrology, hydrologic record extension based on tree-ring data and deriving inputs for water allocation modeling. Study impacts of multi-year droughts for water management districts, and on the Colorado River Basin. Record Extension for Water Allocation Modeling, Extend non-hydrologic model inputs (e.g., yields of water rights) based on streamflow data using non-parametric resampling techniques for complex water allocation models. Derived inputs for model applications for Front Range of Colorado water utilities. Integrated Modeling of Groundwater Contamination and Fate and Transport in a Water Distribution System, Analytical support for ground water modeling and water distribution modeling in pipe networks for exposure assessment in a toxic tort case. Analyze hydrogeologic data to estimate transport model parameters using stochastic subsurface hydrology techniques. Sensitivity analysis of hydrogeologic parameters and source terms. Water Quality Statistics, 2006 Statistical analysis of homogeneity of processes between sites at Milton Lake and Barr Reservoir, Colorado, and analyzing significance of flow and water quality constituent relationships in the Arkansas River system, Colorado. Parametric and non-parametric statistical analysis.

2 Subhrendu Gangopadhyay Page 2 Evaluation of the Calibration of the Hydrologic Institutional Model Used for Colorado Compliance of the Arkansas River Compact, Analytical support to Attorneys for compliance of inter State (Colorado-Kansas) compact on the Arkansas River. Develop and implement model calibration statistics for streamflow, diversion and storage. Eastern Snake River Plain Conjunctive Management, Idaho, 2004-present Analytical support to Attorneys for conjunctive water management in the Eastern Snake River Plain Aquifer, Idaho. Study impacts of groundwater pumping on selected reaches of the Eastern Snake River using MODFLOW, and develop mitigation plans. Analyze impacts of mitigation activities. For example, impacts of seasonal recharge and pumping curtailments. Study climate ground water connection by analyzing climate variability, trend and correlation analysis. UNIVERSITY OF COLORADO, Boulder, Colorado Research and teaching in hydrology/water resources. Initiated, managed and implemented the following research projects. Presently, an Assistant Professor (Adjunct) in the Environmental Studies Program. Development of Operational Hydrologic Forecasting Capabilities, Develop techniques to improve the National Weather Service (NWS) operational streamflow forecasting using climate information in the Upper Colorado River Basin. Developed statistical models to downscale numerical weather prediction model (NWP) outputs to local scale forecasts of precipitation and temperature in the Upper Colorado River Basin. Design a seamless suite of forecast products for precipitation and temperature ranging from days to seasons. Implement the Sacramento Soil Moisture Accounting Model (SAC-SMA) in the USGS Modular Modeling System (MMS). Changing Seasons? Detecting and Understanding Climate Change, Diagnose shifts in seasons, and investigate how the low frequency components of the climate system (such as ENSO, and PDO) modulate the interannual variations of precipitation, temperature, and streamflow in the western United States. Analyzed using the frequency domain statistical technique MTM-SVD (multi-taper singular value decomposition method) shifts in the annual cycle of precipitation, temperature, and streamflow across the western US over the periods , and Performed spectral analysis of NINO3.4 PC (principal-component) fields and MTM projections of reconstructed precipitation and temperature fields to analyze spectral coherence to investigate low frequency modulation on the annual cycles of precipitation and temperature.

3 Subhrendu Gangopadhyay Page 3 PROFESSIONAL EXPERIENCE (Continued) Developing Climate Scenarios for Impact Assessment Science, Develop techniques for generating regional climate change scenarios. Developed a spatial weather generator using the non-parametric K-nn algorithm to simulate spatially and temporally consistent weather fields. Tested the weather generator in climatologically diverse areas of the United States. Enhanced the spatial weather generator to a weather generator that can be conditioned up on large-scale climate fields. Applied the conditional weather generator to develop sets of climate scenarios for the continental US based upon prescribed conditioning criteria. World Water Assessment Program, To study and monitor the state of global freshwater resources using a suite of water related stress and response indicators. Collaborated with water sector experts nationally and internationally to develop a methodological framework to scientifically assess water related vulnerability at the regional and global scales. Developed indicators for the ground water sector. Collaborations Initiated collaborations and conducted research with several departments within the University of Colorado, federal and international agencies. CIRES (Co-operative Institute for Research in Environmental Sciences), Western Water Assessment Program. Applied Mathematics, Civil Engineering. NWS/NOAA (National Weather Service/National Oceanic and Atmospheric Administration), USGS (United States Geological Survey), UCAR (University Corporation for Atmospheric Research). UNESCO (United Nations Educational Scientific and Cultural Organization), IWMI (International Water Management Institute). Research Proposals Successfully obtained funds on a competitive basis in collaboration with researchers from departments and agencies listed above. Below is a partial list of research funding. NOAA, Development of Operational Hydrologic Forecasting Capabilities, $364,887, 5/1/02 4/30/05, 5 month/year. NOAA, Understanding the Spatio-temporal Variability of the North American Monsoon: Implications to Water Resources Management in the South Western US, $213,427, 1/1/03-12/31/05, 2 month/year. NOAA, Western Water Assessment, $725,000, 3/1/04-2/28/05, 3 month/year.

4 Subhrendu Gangopadhyay Page 4 PROFESSIONAL EXPERIENCE (Continued) UNESCO, DIVISION OF WATER SCIENCES, Paris, France Coordinate global water policy projects. World Water Vision, Develop a long-term vision for water, life, and the environment for the 21 st century. Actively involved in the development of global water resources scenarios for the year Involved in the quantification of the global scenarios using several hydrology and economic models. Developed an Internet tool - Vision Explorer, to involve stakeholders, and enhance participatory approach in integrated water resources management. Conceptualized, designed and maintained the World Water Vision website. Coordinated country water vision for Australia. ASIAN INSTITUTE OF TECHNOLOGY, Bangkok, Thailand Ground water research, and implement ground water development projects. Solute Transport Modeling Using SUTRA in a Multi-aquifer System, Study chloride transport in the Bangkok ground water system. Developed a quasi-3d version of the USGS 2D SUTRA model. Applied this model to simulate chloride transport and isolate sources in the Bangkok multi-aquifer ground water system. An Integrated Decision Support System for Groundwater Monitoring and Management for Bangkok, Thailand, Conceptualize, design and implement a decision support system to monitor and mitigate environmental impacts of deep groundwater pumping using numerical models and GIS. Analyzed hydrogeological data to develop a conceptual model of the Bangkok regional multi-aquifer system using artificial neural networks and GIS. Setup and calibrated numerical models for the simulation of groundwater flow (MODFLOW), solute transport (MT3D), and land subsidence (one-dimensional consolidation model). Developed computer programs to integrate groundwater flow, transport, and land subsidence models. Incorporated stochastic theories to address uncertainty and reliability of groundwater flow parameters, and developed a stochastic version of MODFLOW. Designed monitoring network systems using multiple criteria decision-making (MCDM) tools and multivariate statistical techniques. Used GIS GRASS to integrate project components. Doctoral dissertation Deterministic-Stochastic Modeling in a Complex Groundwater System. Effect of Sea Level Rise on Coastal Ground Water Flow Regime, Study how sea level rise will affect the groundwater flow regime in a coastal groundwater system. Developed a finite-element model to simulate this case and compare with analytical solution developed considering the sea level rise as a stochastic boundary condition.

5 Subhrendu Gangopadhyay Page 5 PROFESSIONAL EXPERIENCE (Continued) DEVELOPMENT CONSULTANTS LIMITED, Calcutta, India Performed static and dynamic analysis of structures using FEM models. Nuclear Power Plant Projects, Design the turbo generator housing and supporting structures for two nuclear power plant constructions. Team member in developing the conceptual models of the power plants. Setup simulations for static and dynamic runs using a modified version of SAP. Analyzed simulation results to investigate structural performance. Iteratively completed the final design. ACADEMIC EXPERIENCE Teaching Taught and lectured in the following undergraduate and graduate courses in the Department of Civil, Environmental and Architectural Engineering at University of Colorado, Boulder. Groundwater Modeling CVEN 5383, Spring 2002; Spring Quantitative Methods - CVEN-5454, Spring Hydraulic Engineering CVEN 3323, Spring Groundwater Engineering/Hydrology CVEN 4353/5353, Fall Modeling of Hydrologic Systems CVEN 5833, Spring Student Supervision Supervised or actively participated in the following master s thesis. Modeling Cryptosporidium Movement in Heterogeneous Porous Media, University of Colorado, Boulder. The World Water Index A Methodological Approach, University of Twente, The Netherlands. Vision Explorer A Tool for Analyzing the World Water Vision, Technical University of Delft, The Netherlands. Parameterization Techniques in Inverse Groundwater Modeling, Wagenigen Agricultural University, The Netherlands. Committee member of the following doctoral dissertations at University of Colorado, Boulder. Inter-comparison of spatial estimation schemes for precipitation and temperature in hydrologic modeling. Stochastic non-parametric framework for basin wide streamflow and salinity modeling: Application for the Colorado River Basin. Honors HONORS AND AFFILIATIONS Best paper award from ASCE for paper published in the Journal of Computing in Civil Engineering, Awarded scholarship by Federal Republic of Germany to pursue Doctor of Engineering program at Asian Institute of Technology, Bangkok, Thailand.

6 Subhrendu Gangopadhyay Page 6 HONORS AND AFFILIATIONS (Continued) Affiliations Awarded fellowship by The Government of Netherlands to pursue Master of Engineering program at Asian Institute of Technology, Bangkok, Thailand. Ranked second (out of 86 students) in B.E. (Civil) examination 1990, University of Calcutta, India. Member of AGU and IAHS. Reviewer for ASCE and AGU hydrologic journals. Groundwater committee member of the International Hydrology Program. EDUCATION Post-doc: University of Colorado, Boulder, Doctor of Engineering: Civil Engineering (Water Resources Development), Asian Institute of Technology, Bangkok, Thailand, Master of Engineering: Civil Engineering (Hydraulics and Coastal Engineering), Asian Institute of Technology, Bangkok, Thailand, Bachelor of Engineering: Civil Engineering (Structural and Environmental Engineering), Bengal Engineering College, University of Calcutta, West Bengal, India, Publication list follows, referee list upon request. ADDITIONAL DATA

7 Subhrendu Gangopadhyay Page 7 Publications Refereed Journals 1. Stapleton, S., S. Gangopadhyay, and B. Rajagopalan, 2006: Improving streamflow forecasts for the Yakima River Basin by incorporating the Pacific North American teleconnection pattern. Journal of Hydrology, in review. 2. Gangopadhyay, S., S. Apipattanavis, B. Rajagopalan, U. Lall, and M. Clark, 2006: Trends in the annual cycle of streamflow in the western United States, and their relation to changed seasonality of temperature and precipitation. Journal of Climate, in preparation. 3. Gangopadhyay, S., M. Clark, and B. Rajagopalan, 2005: Statistical downscaling using K- nearest neighbors. Water Resources Research, 41(2), W02024, doi: /2004wr Werner, K., D. Brandon, M. P. Clark, and S. Gangopadhyay, 2005: Incorporating medium range numerical weather model output into the ensemble streamflow prediction system of the National Weather Service. Journal of Hydrometeorology, 6(2), Werner, K., D. Brandon, M. P. Clark, and S. Gangopadhyay, 2004: Climate index weighting schemes for NWS ESP based seasonal volume forecasts. Journal of Hydrometeorology, 5(6), Gangopadhyay, S., M. Clark, K.Werner, D. Brandon, and B. Rajagopalan, 2004: Effects of spatial and temporal aggregation on the accuracy of statistically downscaled precipitation estimates in the Upper Colorado River Basin. Journal of Hydrometeorology, 5(6), Clark, M.P., S. Gangopadhyay, D. Brandon, K.Werner, L. Hay, B. Rajagopalan, and D. Yates, 2004: A resampling procedure to generate conditioned daily weather sequences. Water Resources Research, 40 (4), W04304, doi: /2003WR Clark, M.P., S. Gangopadhyay, L. Hay, B. Rajagopalan, and R. Wilby, 2004: The Schaake Shuffle: A method for reconstructing space-time variability in forecasted precipitation and temperature fields. Journal of Hydrometeorology, 5(1), Yates, D., S. Gangopadhyay, B. Rajagopalan, and K. Strzepek, 2003: A technique for generating regional climate scenarios using a nearest neighbor algorithm. Water Resources Research, 39(7), 1199, doi: /2002wr Gangopadhyay, S., A. Das Gupta, and M.H. Nachabe, 2001: Evaluation of ground water monitoring network by principal component analysis. Ground Water, 39(2), Gangopadhyay, S., T.R. Gautam, and A. Das Gupta, 1999: Subsurface characterization using artificial neural network and GIS. ASCE, Journal of Computing in Civil Engineering (JCCE), v. 13, No. 3, ASCE Best Paper Award in JCCE. 12. Gangopadhyay, S. and A. Das Gupta, 1995: Simulation of salt-water encroachment in a multi-layer groundwater system: Bangkok, Thailand. Hydrogeology Journal, v. 3, No. 4, Conference Presentations and Proceedings 1. Gangopadhyay, S., M.P. Clark, B. Rajagopalan, K. Werner, and D. Brandon, 2004: Effects of spatial and temporal aggregation on the accuracy of downscaled precipitation estimates in the Upper Colorado River Basin, AMS, 18 th Conference on Hydrology, Seattle, Washington. 2. Hwang, Y., B. Rajagopalan, M.P. Clark, and S. Gangopadhyay, 2003: Inter-comparison of spatial estimation schemes for precipitation and temperature in hydrologic modeling, AGU Hydrology Days Conference, Colorado State University, Fort Collins, Colorado.

8 Subhrendu Gangopadhyay Page 8 3. Clark, M.P., S. Gangopadhyay, and L.E. Hay, 2002: Advances in streamflow forecasting capabilities on intra-seasonal timescales, Eos. Trans. AGU, 83(47), Fall Meet. Suppl., Abstract H12G-01, Gangopadhyay, S., 2001: Climate change implications for groundwater systems, Stanford University Energy Modeling Forum, Snowmass, Colorado. - Invited talk 5. Gangopadhyay, S., M.P. Clark, and B. Rajagopalan, 2002: Statistical downscaling: A comparison of multiple linear regression and k-nearest neighbor approaches, Eos. Trans. AGU, 83(47), Fall Meet. Suppl., Abstract H12G-02, Gangopadhyay, S., W.Cosgrove, F. Rijsberman, and K. Strzepek, 2001: The World Water Vision: From Developing a Vision to Action, Eos. Trans. AGU, 82(20), Spring Meet. Suppl., Abstract H22E-04, Van der Helm, R., F. Rijsberman, and S. Gangopadhyay, 1999: World Water Vision Explorer: Prototype. European Geophysical Society (EGS)-99 Conference, The Hague, The Netherlands. 8. Gangopadhyay, S. and A. Das Gupta, 1999: Stochastic considerations in regional groundwater modeling: application to Bangkok groundwater system. Second International Conference on Water Resources and Environment Research, Brisbane, Australia, proceedings-v. 1, Gangopadhyay, S., M.H. Nachabe, and A. Das Gupta, 1997: Evaluation of ground water monitoring networks by principal component analysis, Proceedings of the Seventeenth Annual American Geophysical Union Hydrology Days, Colorado State University, Fort Collins, CO, Das Gupta, A., S. Gangopadhyay, T.R. Gautam, and P.R. Onta, 1996: Aquifer characterization using an integrated GIS-neural network approach. IAHS publication No. 235, Application of Geographic Information Systems in Hydrology and Water Resources Management, HydroGIS 96, Vienna, Austria, Gangopadhyay, S. and A. Das Gupta, 1996: A regional groundwater modeling approach considering model uncertainty, International Conference on Water Resources and Environment Research: Towards the 21 st Century, Water Resources Research Center, Kyoto University, Japan, v. 1, Reports (Partial List) 1. Gangopadhyay, S., 2002: Outline, report and bibliography for a methodology for a water vulnerability index, report submitted to UNESCO for the first World Water Development Report. 2. Gangopadhyay, S., 2001: Indices and indicators for measuring ground water condition and vulnerability: ground water quantity, report submitted to UNESCO for the first World Water Development Report. 3. Gangopadhyay, S., S. Weesakul and A. Das Gupta, 1998: Effect of sea-level rise on coastal ground water flow regime, report submitted to the JICA/AIT-REDP program. 4. Other reports submitted to NSF (National Science Foundation) and NOAA on funded research projects.

Chih Ted Yang. Education. Professional Experiences

Chih Ted Yang. Education. Professional Experiences Chih Ted Yang Engineering Research Center, A207 Department of Civil and Environmental Engineering Colorado State University Fort Collins, Colorado 80523-1372 Office Phone (970) 491-8160, Fax (970) 491-8032