CV


Curriculum Vitae

RESEARCH INTERESTS

  • Open Source Software and Tools for Open Science
  • Climate and Hydrologic Modeling
  • Climate Impacts and Risk
  • Climate and Carbon Policy

EDUCATION

  • Ph.D., 2016: Civil and Environmental Engineering, University of Washington, Seattle, WA
    • Emphasis: Hydrologic modeling, coupled land-atmosphere interactions
    • Thesis: Understanding the Arctic Hydroclimate Using the Regional Arctic System Model
  • M.S., 2012: Civil and Environmental Engineering, University of Washington, Seattle, WA
    • Emphasis: Climate Change Impacts, Hydrology, and Water Resources.
    • Thesis: Effects of Projected Twenty-First Century Sea Level Rise, Storm Surge, and River Flooding on Water Levels in Puget Sound Floodplains and Estuaries
  • B.S., 2007: Civil Engineering, University of Arizona, Tucson, AZ
    • Emphasis: Water Resources and Geotechnical Engineering

POSITIONS HELD

Period Position Employer
2022 - current Co-founder and CTO Earthmover, New York, NY
2020 - 2022 Co-founder and Director of Technology CarbonPlan, San Francisco, CA
2018 - 2022 Project Scientist Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO
2016 - 2018 Post-Doctoral Fellow Research Applications Laboratory, Hydrometeorological Applications Program, National Center for Atmospheric Research, Boulder, CO
2010 - 2016 Research Assistant Department of Civil and Environmental Engineering, University of Washington, Seattle, WA
2010 - 2014 Water Resource Specialist Cardno TEC, Inc., Seattle, WA
2013 Adjunct Professor Department of Civil and Environmental Engineering, Seattle University, Seattle, WA
2007 - 2009 Civil Engineer Designer Roth-Hill Engineering Partners, Bellevue, WA
2007 Civil Engineering Intern Dowl Engineering, Tucson, AZ

TEACHING

Terms Position Course
Fall 2012, Fall 2013, Fall 2014 Teaching Assistant CEE 500: Environmental and Water Resource Seminar. University of Washington, Seattle, WA
Spring 2013 Adjunct Professor CEEGR 371: Water Resource Engineering I. Seattle University, Seattle, WA

AWARDS

Date Title
2012 Best Student Presentation Award, University of Washington Water Symposium
2016 Ronald E. Nece Fellowship, University of Washington

LICENSES

Date Title Number
2013 - present Professional Engineer in the State of Washington 50453

MEMBERSHIPS

PEER REVIEW DUTIES

SPONSORED PROJECTS

PUBLICATIONS

In review / in revision

Cheng, Y., A. Craig, K. Musselman, J. Hamman, A. Bennett, M. Seefeldt, and A. Newman, 2024: Coupled high-resolution land-atmosphere modeling for hydroclimate and terrestrial hydrology in Alaska and the Yukon River basin (1990-2021). In revision (preprint).

Published

Vano, J., T. Petach, J. Deems, M. Raleigh, J. Arnott, E. Osenga, J. Hamman, 2024: A Collaborative, In Situ Mountain Hydrology NASA Test Bed. Prepared for the NASA Terrestrial Hydrology Program.. Aspen Global Change Institute, doi:10.69925/VCBQ9771.

Currier, W., A. Wood, N. Mizukami, B. Nijssen, J. Hamman, and E. Gutmann, 2023: Vegetation Representation Influences Projected Streamflow Changes in the Colorado River Basin. Journal of Hydrometeorology, doi:10.1175/JHM-D-22-0143.1.

Cheng, Y., A. Newman, K.N. Musselman, S. Swenson, D. Lawrence, J. Hamman, K. Dagon, and D. Kennedy., 2023: Moving land models towards actionable science: A novel application of the Community Terrestrial Systems Model across Alaska and the Yukon River Basin. Water Resources Research, doi:10.1029/2022WR032204.

DeAngelo, J., B. Saenz , I. Arzeno-Soltero , C. Frieder , M. Long , J. Hamman , K. Davis , and S. Davis, 2022: Economic and biophysical limits to seaweed farming for climate change mitigation. Nat. Plants, doi:10.1038/s41477-022-01305-9.

Gutmann, E.D., J. Hamman, M.P. Clark, T. Eidhammer, A.W. Wood, and J.R. Arnold, 2022: En-GARD: A Statistical Downscaling Framework to Produce and Test Large Ensembles of Climate Projections. Journal of Hydrometeorology, doi:10.1175/JHM-D-21-0142.1.

Mizukami, N., A. Newman, J. Littell, T. Giambelluca, A. Wood, E. Gutmann, B. Nijssen, J. Hamman, D. Gergel, M. Clark, and J. Arnold, 2022: New projections of 21st Century Climate and Hydrology for Alaska and Hawaiʻi. Climate Services, doi:10.1016/j.cliser.2022.100312.

Badgley, G., F. Chay, O.S. Chegwidden, J. Hamman, J. Freeman, and D. Cullenward, 2022: California’s forest carbon offsets buffer pool is severely undercapitalized. Frontiers in Forests and Global Change, doi:10.3389/ffgc.2022.930426.

Anderegg, W.*, O. Chegwidden*, G. Badgley, A. Trugman, D. Cullenward, J. Abatzoglou, J. Hicke, J. Freeman, and J. Hamman, 2022: Climate risks to carbon sequestration in US forests. Ecology Letters, doi:10.1111/ele.14018.

Stern, C., R. Abernathey, J. Hamman, R. Wegener, C. Lepore, S. Harkins and A. Merose, 2022: Pangeo Forge: Crowdsourcing Analysis-Ready, Cloud Optimized Data Production. Frontiers in Climate, doi:10.3389/fclim.2021.782909.

Badgley, G., J. Freeman, J. Hamman, B. Haya, A. Trugman, W. Anderegg, and D. Cullenward, 2021: Systematic over-crediting in California's forest carbon offsets program. Global Change Biology, doi:10.1111/gcb.15943.

Abernathey, R.P., T. Augspurger, A. Banihirwe, C.C. Blackmon-Luca, T.J. Crone, C.L. Gentemann, J. Hamman, N. Henderson, C. Lepore, T.A. McCaie, N.H. Robinson, and R.P. Signell, 2021: Cloud-Native Repositories for Big Scientific Data. Computing in Science and Engineering, doi:10.1109/MCSE.2021.3059437.

Bennett, A., J. Hamman, and B. Nijssen, 2020: MetSim: A Python package for estimation and disaggregation of meteorological data. Journal of Open Source Software, doi:10.21105/joss.02042.

Chegwidden, O., B. Nijssen, D. Rupp, J. Arnold, M. Clark, J. Hamman, S.C. Kao, Y. Mao, P. Mote, M. Pan, E. Pytlak, and M. Xiao, 2019: How do modeling decisions affect the spread among hydrologic climate change projections?. Earth's Future, doi:10.1029/2018EF001047.

Brunke, M., J. Cassano, N. Dawson, A. DuVivier, W. Gutowski, J. Hamman, J., W. Maslowski, B. Nijssen, J. Renteria, A. Roberts, and X. Zeng, 2018: Evaluation of the atmosphere-land-ocean-sea ice interface processes in the Regional Arctic System Model Version 1 (RASM1) using local and globally gridded observations. Geoscientific Model Development, doi:10.5194/gmd-11-4817-2018.

Vano, J., M. Clark, J. Arnold, B. Nijssen, A. Wood, E. Gutmann, N. Addor, J. Hamman, F. Lehner, 2018: Dos and Don’ts for using climate change information for water resource planning and management, version 1.0: guidelines for study design. Climate Services, doi:10.1016/j.cliser.2018.07.002.

Hamman, J., B. Nijssen, T. J. Bohn, D. R. Gergel, and Y. Mao, 2018: The Variable Infiltration Capacity Model, Version 5 (VIC-5): Infrastructure improvements for new applications and reproducibility. Geoscientific Model Development, doi:10.5194/gmd-11-3481-2018.

Cassano, J., A. DuVivier, A. Roberts, M. Hughes, M. Seefeldt, M. Brunke, A. Craig, B. Fisel, W. Gutowski, J. Hamman, M. Higgins, W. Maslowski, B. Nijssen, R. Osinski, X. Zeng, 2017: Near surface atmospheric climate of the Regional Arctic System Model (RASM). Journal of Climate, doi:10.1175/JCLI-D-15-0775.1.

Hoyer, S., and J. Hamman, 2017: xarray: N-D labeled arrays and datasets in Python. Journal of Open Research Software, doi:10.5334/jors.148.

Hamman, J., B. Nijssen, A. Roberts, A. Craig, W. Maslowski, and R. Osinski, 2017: The Coastal Streamflow Flux in the Regional Arctic System Model. Journal of Geophysical Research: Oceans, doi:10.1002/2016JC012323.

Hamman, J., B. Nijssen, M. Brunke, J. Cassano, A. Craig, A. DuVivier, M. Hughes, D.P. Lettenmaier, W. Maslowski, R. Osinski, A. Roberts, and X. Zeng, 2016: Land surface climate in the Regional Arctic System Model. Journal of Climate, doi:10.1175/JCLI-D-15-0415.1.

Hamman, J., A. Hamlet, S. Lee, E. Grossman, and R. Fuller, 2016: Combined Effects of Projected Sea Level Rise, Storm Surge, and Peak River Flows on Water Levels in the Skagit Floodplain. Northwest Science, doi:10.3955/046.090.0106.

DuVivier, A.K., J. Cassano, A. Craig, J. Hamman, W. Maslowski, B. Nijssen, R. Osinski, and A. Roberts, 2016: Winter atmospheric buoyancy forcing and oceanic response during strong wind events around southeastern Greenland in the Regional Arctic System Model (RASM) for 1990-2010. Journal of Climate, doi:10.1175/JCLI-D-15-0592.1.

Conference Proceedings

Eynard-Bontemps, G., R Abernathey, J. Hamman, A. Ponte, W. Rath, 2019: The Pangeo Big Data Ecosystem and its use at CNES. In P. Soille, S. Loekken, and S. Albani, Proc. of the 2019 conference on Big Data from Space (BiDS’2019), 49-52. EUR 29660 EN, Publications Office of the European Union, Luxembourg. ISBN: 978-92-76-00034-1, doi:10.2760/848593.

Editorials

Hamman, J., N. Robinson, and R. Abernathey, 2020: Seven Principles for Effective Scientific Big-Data Systems. arXiv (Link)

Freitag, B., D. Carlton, and J. Hamman, 2012: Building better flood risk maps: Lessons learned from the electric car. Natural Hazards Observer, XXXVII (1) (Link)

Datasets

Badgley, G., J. Freeman, J. Hamman, B. Haya, A. Trugman, W. Anderegg, and D. Cullenward, 2021: Systematic over-crediting in California's forest carbon offsets program (Version 1.0) [Data set]. Zenodo, doi:10.5281/zenodo.4630711.

Hamman, J., B. Nijssen, A. Roberts, A. Craig, W. Maslowski, and R. Osinski., 2017: The Coastal Streamflow Flux in the Regional Arctic System Model [Data set]. Zenodo, doi:10.5281/zenodo.293037.