CV

RESEARCH INTERESTS

• Hydrologic Modeling
• Climate Modeling
• Land-Atmosphere Interactions
• Climate Change Impacts
• Big-data Informatics
• Climate and Carbon Policy

CURRENT RESEARCH

• Pangeo - An Open Source Big Data Climate Science Platform [at NCAR]
• Community Terrestrial System Model [at NCAR]
• Regional Arctic System Model (RASM) [at NCAR]

EDUCATION

• Ph.D., 2016: Civil and Environmental Engineering, University of Washington, Seattle, Washington
• 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, Washington
• 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, Arizona
• Emphasis: Water Resources and Geotechnical Engineering

POSITIONS HELD

Period	Position	Employer
2020 - present	Director of Technology	CarbonPlan, Seattle, Washington
2018 - present	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

TEACHING

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

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

• Pangeo Steering Council
• NOAA Data Archive and Access Requirements Working Group (DAARWG)
• American Geophysical Union (AGU)
• European Geophysical Union (AGU)
• American Meteorology Association (AMS)
• American Society for Civil Engineers (ASCE)

PEER REVIEW DUTIES

• Environmental Modelling and Software (ENVSOFT)
• Journal of Hydrometeorology (JHM)
• Water Resources Research (WRR)
• Geophysical Model Development (GMD)
• Hydrology and Earth System Sciences (HESS)

SPONSORED PROJECTS

• Collaborative Proposal: EarthCube Integration: Pangeo: An Open Source Big Data Climate Science Platform
  NSF-OCE 1740633, co-PI, $1.2M ($466,882 to NCAR), 2017-09-01 - 2020-08-31
  
• Community tools for analysis of NASA Earth Observing System Data in the Cloud
  NASA-ACCESS 80NSSC18M0156, Institutional PI, $1.5M ($300,000 to NCAR), 2018-09-15 – 2020-09-14
  
• EarthCube Data Capabilities: Collaborative Proposal: Jupyter meets the Earth: Enabling discovery in geoscience through interactive computing at scale
  NSF-GEO-AGS 1928374, Institutional PI, $1.5M ($244,271 to NCAR), 2019-09-01 – 2022-08-31
  
• Convergence Accelerator Phase I (RAISE): Knowledge Open Network Queries for Research (KONQUER)
  NSF-OIA 1937136, co-PI, $1M ($166,459 to NCAR), 2019-09-01 – 2020-05-31
  
• NNA Track 1: Collaborative Research: The climate impacts on Alaskan and Yukon rivers, fish, and communities as told through co-produced scenarios
  NSF-ICER (1928078), co-PI, $3M ($798,952 to NCAR), 2020-01-01 – 2024-12-31
  
• Xarray: Multidimensional Labeled Arrays and Datasets in Python
  CZI EOSS (Funding Cycle 2), PI, $150,000 (to NumFOCUS), 2020-07-01 – 2021-06-30
  
• Pangeo ML: Open Source Tools and Pipelines for Scalable Machine Learning Using NASA Earth Observation Data
  19-ACCESS19-0049, PI, $1.5M ($561,670 to CarbonPlan), 2020-12-01 – 2023-11-30
  

PUBLICATIONS

In review / in revision

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. In review.

Stern, C., R. Abernathey, J. Hamman, R. Wegener, C. Lepore, and S. Harkins, 2021: Pangeo Forge: Crowdsourcing Analysis-Ready, Cloud Optimized Data Production. 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 review.

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. In review.

Anderegg, W.*, O. Chegwidden*, G. Badgley, A. Trugman, D. Cullenward, J. Abatzoglou, J. Hicke, J. Freeman, and J. Hamman, 2021: Climate risks to carbon sequestration in US forests. In review (preprint).

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

Published

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:https://doi.org/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

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

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.