| 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 |
| 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 |
| Date | Title |
|---|---|
| 2012 | Best Student Presentation Award, University of Washington Water Symposium |
| 2016 | Ronald E. Nece Fellowship, University of Washington |
| Date | Title | Number |
|---|---|---|
| 2013 - present | Professional Engineer in the State of Washington | 50453 |
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 review (preprint).
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.
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.
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)
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.