| Period | Position | Employer |
|---|---|---|
| 2020 - 2022 | Director of Technology | CarbonPlan, Seattle, Washington |
| 2018 - 2022 | Project Scientist | Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, Colorado |
| 2016 - 2018 | Post-Doctoral Fellow | Research Applications Laboratory, Hydrometeorological Applications Program, National Center for Atmospheric Research, Boulder, Colorado |
| 2010 - 2016 | Research Assistant | Department of Civil and Environmental Engineering, University of Washington, Seattle, Washington |
| 2010 - 2014 | Water Resource Specialist | Cardno TEC, Inc., Seattle, Washington |
| 2013 | Adjunct Professor | Deptartment of Civil and Environmental Engineering, Seattle University, Seattle, Washington |
| 2007 - 2009 | Civil Engineer Designer | Roth-Hill Engineering Partners, Bellevue, Washington |
| 2007 | Civil Engineering Intern | Dowl Engineering, Tucson, Arizona |
| Terms | Position | Course |
|---|---|---|
| Fall 2012, Fall 2013, Fall 2014 | Teaching Assistant | CEE 500: Environmental and Water Resource Seminar. University of Washington, Seattle, Washington |
| Spring 2013 | Adjunct Professor | CEEGR 371: Water Resource Engineering I. Seattle University, Seattle, Washington |
| 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. Newman, K.N. Musselman, S. Swenson, D. Lawrence, J. Hamman, K. Dagon, and D. Kennedy., 2022: Moving land models towards actionable science: A novel application of the Community Terrestrial Systems Model across Alaska and the Yukon River Basin. In revision (preprint).
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-based climate solutions. In revision (preprint).
Currier, W., A. Wood, N. Mizukami, B. Nijssen, J. Hamman, and E. Gutmann, 2021: An updated vegetation dataset increases projected runoff changes in the Colorado River Basin. In revision.
Hamman, J., N. Robinson, and R. Abernathey, 2020: Seven Principles for Effective Scientific Big-Data Systems. In revision (preprint).
Gutmann, E.D., J. Hamman, M.P. Clark, T. Eidhammer, A.W. Wood, and J.R. Arnold, 2021: A statistical downscaling framework for the production and testing of large ensembles of climate projections. Accepted.
Mizukami, N., A. Newman, J. Littell, T. Giambelluca, A. Wood, E. Gutmann, B. Nijssen, J. Hamman, D. Gergel, M. Clark, and J. Arnold, 2021: New projections of 21st Century Climate and Hydrology for Alaska and Hawaiʻi. Accepted.
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:https://doi.org/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:https://doi.org/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.
Freitag, B., D. Carlton, and J. Hamman, 2012: Building better flood risk maps: Lessons learned from the electric car. Natural Hazards Observer, XXXVII (1)
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.