Jeremy Weiss

Interests

Research

Jeremy is engaged widely in weather and climate hazards, utilizing geospatial environmental modeling and data development, analysis, and visualization. His long-term research goal is to improve understanding and prediction of weather and climate hazards and their impacts, and translate this research into useful information and applications for stakeholders. This has taken him along several lines of quantitative work in recent years, including topics such as climate change adaptation planning, future global sea level rise, and historical and potential future variations of weather extremes and thresholds relevant to agriculture and wildland vegetation. Many of these research activities exemplify his interest to collaborate across departments, disciplines, colleges, and even beyond university boundaries.

Teaching

Jeremy likes to facilitate learning of weather, climate, and geospatial topics, as well as the acquiring of skills that enable classroom students, workshop participants, and presentation attendees to better navigate and utilize the ever-expanding collection of observational and model-derived weather, climate, and geospatial data. He also enjoys enriching his teaching through discussion of current research, which provides examples and context in which a student’s, participant’s, or attendee’s factual knowledge of a subject can be applied and transferred. Along with the organization of topical facts around important concepts, this will enable students, participants, and attendees to learn and develop a high level of competence in a subject. Jeremy additionally strives for student, participant, or attendee development of critical reading and thinking, clear and persuasive communication, as well as intellectual tools and learning strategies that are needed to navigate and work on complex issues that are part of modern society. Depending on the task and materials at hand, there are various teaching techniques from which to choose that can achieve these goals.

Courses

No activities entered.

Scholarly Contributions

Chapters

• Weiss, J. L., Crimmins, M. A., & Overpeck, J. (2015). Developing an Event Database for Cut-off Low Climatology over Southwestern North America. In Machine Learning and Data Mining Approaches to Climate Science(pp 195-204). Springer.
• Weiss, J. L., Crimmins, M. A., & Overpeck, J. T. (2015). Developing an Event Database for Cut-off Low Climatology over Southwestern North America. In Machine Learning and Data Mining Approaches to Climate Science. Springer.
  More info

  Cut-off lows (COLs) can impact southwestern North America with heavy rainfall that leads to flooding. Despite the societal challenges presented by this weather phenomenon, there has been no recent study of COLs focused on this region. This information need, in combination with the current availability of large, multivariate atmospheric datasets, offers a clear data mining and applied re-search opportunity. Here, we describe our method to produce an objective, physi-cally based algorithm that identifies COLs in reanalysis data, and apply this method to a known COL event. Results suggest that the initial algorithm is too selective for adequately identifying COLs, and needs additional adjustments in order to resolve the different spatial scales of COLs and reanalysis data. We further discuss the attributes of information extracted through this data mining approach that will be used to populate an event database for COL climatology over southwestern North America, as well as the verification of individual COL events. Integration of our COL event database with other data mining approaches has great potential to expand our currently limited knowledge on this important weather phenomenon.

Journals/Publications

• Garner, A. J., Weiss, J. L., Parris, A., Kopp, R., Horton, R. M., Overpeck, J. T., & Horton, B. (2018). Evolution of 21st century sea-level rise projections. Earth's Future.
• Crimmins, M. A., Ferguson, D. B., Masayesva, A., Meadow, A., Weiss, J. L., & Faulstich, H. (2017). Drought Monitoring to Support Planning for the Hopi Tribe: Final Report 2010-2016. Climate Assessment for the Southwest Technical Report.
• Crimmins, M. A., Ferguson, D. B., Meadow, A. M., & Weiss, J. L. (2016). Variability of daily precipitation extremes in the Four Corners region of the southwestern United States. Journal of Applied Meteorology and Climatology.
• Crimmins, M. A., Ferguson, D. B., Meadow, A. M., & Weiss, J. L. (2017). Variability of daily precipitation extremes in the Four Corners region of the southwestern United States. Journal of Applied Meteorology and Climatology.
• Colburn, L. L., Jepson, M., Wang, C., Seara, T., Weiss, J. L., & Hare, J. A. (2016). Indicators of climate change and social vulnerability in fishing-dependent communities along the Eastern and Gulf Coasts of the U.S.: An emerging methodology. Marine Policy.
• Weiss, J. L., & Crimmins, M. A. (2016). Better Coverage of Arizona’s Weather and Climate: Gridded Datasets of Daily Surface Meteorological Variables. Arizona Cooperative Extension.

Presentations

• Garner, A., Weiss, J. L., Parris, A., Kopp, R., Horton, R., Overpeck, J., Tan, F., Tan, C., Sosa, S., & Horton, B. (2020, December). Evolution of Global Sea-level Rise Projections for the 21st Century and their Implementation in Policy at the Local Scale. AGU Fall Meeting 2020.
  More info

  Our Coastal Futures: Working Together to Understand Hazards and Mitigate Disasters" session
• Garner, A., Weiss, J. L., Parris, A., Kopp, R., Horton, R., Overpeck, J., Tan, F., Tan, C., Sosa, S., & Horton, B. (2020, October). Evolution of Global Sea-level Rise Projections for the 21st Century and their Implementation in Policy at the Local Scale. Geological Society of America.
  More info

  Our Coastal Futures: Working Together to Understand Hazards and Mitigate Disasters" session
• Meadow, A., Weiss, J. L., & Roudaut, M. (2019, December). Stakeholders of a Climate Science and Viticulture Project Affect Research Project Vintage. AGU Fall Meeting 2019.
  More info

  Science to Action: Transformative Partnerships to Advance Decision-Relevant Science” session
• Crimmins, M. A., & Weiss, J. L. (2018, July). SE AZ Drought Assessment. NAP Drought Assessment Meeting. Willcox, AZ: University of Arizona Cooperative Extension.
• Garner, A. J., Weiss, J. L., Parris, A., Kopp, R., Horton, R. M., Overpeck, J. T., & Horton, B. (2018, December). Evolution of 21st century sea-level rise projections. 2018 Fall Meeting of the American Geophysical Union, Washington DC.
• Crimmins, M. A., Crimmins, M. A., Weiss, J. L., Weiss, J. L., Garfin, G. M., & Garfin, G. M. (2015, December). Climate and Geospatial Extension. University of Arizona Extension Administration Retreat. Tucson, AZ.
• Rango, A., Crimmins, M. A., Elias, E., Steele, C., & Weiss, J. L. (2015, December). Connecting stakeholders and climate science: a summary of farmer, rancher and forester climate data needs and climate change attitudes. 2015 American Geophysical Union Fall Meeting. San Francisco: American Geophysical Union.
• Weiss, J. L., & Crimmins, M. A. (2015, March). Tailoring the Data Process to Regional Climate Information Needs: From Comparisons and Code to Transformations and Tools. Climate Prediction Applications Science Workshop. New Mexico State University.
  More info

  Advances in data collection and generation have resulted in a rapid increase in both the amount and types of weather and climate data over recent decades. These massive quantities of atmospheric and surface data, in combination with present-day information needs in agriculture and water resources, offer numerous applied research and climate service opportunities. Possibilities with current data include addressing emerging drought conditions and revisiting long-standing issues such as frosts and freezes in new analytical ways. With these opportunities, there may be several steps in the data process such as selection, procurement, analysis, and dissemination. We find that each of these steps can result in often simple data or data-related products that are immediately usable for part of the range of stakeholders. For instance, our experience suggests that these products might be brief comparisons of gridded surface-weather data, code for subsetting large, remote data to variables or geographical areas of interest, data transformed for use in a geographical information system, or Web map applications for data visualization. Through examples of weather hazards in the Southwest, we demonstrate how tailoring the data process in this manner meets regional climate information needs.

Poster Presentations

• Mennell, W. J., Crimmins, M. A., & Weiss, J. L. (2018, April). Changing Winter Precipitation and Temperature Regimes Likely to Impact Arizona’s Water Resources. SWESx 2018, School of Earth and Environmental Sciences EarthWeek 2018, University of Arizona.
• Wasley, E., Jacobs, K. L., & Weiss, J. L. (2018, December). Mapping Climate Exposure and Climate Information Needs to Utility Business Functions. 2018 Fall Meeting of the American Geophysical Union, Washington DC.
• Weiss, J. L., & Roudaut, M. B. (2018, August). Outcomes from the Climate-Viticulture Exchange in Yavapai County. University of Arizona Cooperative Extension Conference 2018.
• Hartfield, K. A., Van Leeuwen, W. J., Marsh, S. E., Crimmins, M. A., Weiss, J. L., Torrey, Y., Rahr, M. J., & K C, P. (2016, July). DroughtView: Satellite-based Drought Monitoring and Assessment – An update. ESRI. San Diego: ESRI.
  More info

  Kyle Hartfield, Willem J.D. van Leeuwen, Michael Crimmins, Stuart Marsh, Yuta Torrey, Matt Rahr, Jeremy Weiss, and Pratima K C, DroughtView: Satellite-based Drought Monitoring and Assessment – An update. ESRI conference June 27 - July 1,2016. San Diego.
• Weiss, J. L., Hartfield, K. A., Van Leeuwen, W. J., Crimmins, M. A., Marsh, S. E., Torrey, Y., Rahr, M. J., & K C, P. (2016, April). DroughtView: Satellite-based Drought Monitoring and Assessment. University of Arizona – International Arid Lands Consortium : Cross-disciplinary Symposium on Arid Environments Research.
• Weiss, J. L., Crimmins, M. A., & Overpeck, J. T. (2015, March). Developing an Event Database for Cut-off Low Climatology over Southwestern North America. Climate Prediction Applications Science Workshop. New Mexico State University.
  More info

  Cut-off lows (COLs) can impact southwestern North America with heavy rainfall that leads to flooding. Despite the societal challenges presented by this weather phenomenon, there has been no recent study of COLs focused on this region. This information need, in combination with the current availability of large, multivariate atmospheric datasets, offers a clear data mining and applied research opportunity. Here, we describe our method to produce an objective, physically based algorithm that identifies COLs in reanalysis data, and apply this method to a known COL event. Results suggest that the initial algorithm is too selective for adequately identifying COLs, and needs additional adjustments in order to resolve the different spatial scales of COLs and reanalysis data. We further discuss the attributes of information extracted through this data mining approach that will be used to populate an event database for COL climatology over southwestern North America, as well as the verification of individual COL events. A Southwest COL database like the one described here has great potential to support development of an analog system that improves confidence in forecasted conditions and impacts of this important weather phenomenon.
• Weiss, J. L., Crimmins, M. A., & Overpeck, J. T. (2015, fall). Developing an Event Database for Cut-off Low Climatology over Southwestern North America. 2015 University of Arizona College of Agriculture and Life Sciences Poster Forum.
• Weiss, J. L., Crimmins, M. A., & Overpeck, J. T. (2015, summer). Developing an Event Database for Cut-off Low Climatology over Southwestern North America. University of Arizona Cooperative Extension Conference 2015.

Others

• Garfin, G. M., Crimmins, M. A., & Weiss, J. L. (2020, October). La Niña 2020-2021: An Overview of What It Might Mean for Arizona. University of Arizona Cooperative Extension.
• Wasley, E., Jacobs, K. L., & Weiss, J. L. (2020, April). Climate Data and Information Spectrum for Case Studies. The Water Research Foundation. http://www.waterrf.org/resource/climate-data-and-information-spectrum-case-studies
• Wasley, E., Jacobs, K. L., & Weiss, J. L. (2020, April). Mapping Climate Exposure and Climate Information Needs to Water Utility Business Functions Appendix E: Water Utility Business Risk and Opportunity Profiles. The Water Research Foundation.
  More info

  53pp
• Wasley, E., Jacobs, K. L., Weiss, J. L., & Morgan, R. (2020, April). Water Utility Business Risk and Opportunity Framework: A Guidebook for Water Utility Business Function Leaders in a Changing Climate. The Water Research Foundation. http://www.waterrf.org/resource/climate-data-and-information-spectrum-case-studies
  More info

  24pp
• Wasley, E., Jacobs, K. L., Weiss, J. L., & Nina, P. (2020, April). Executive Summary, Mapping Climate Exposure and Climate Information Needs to Water Utility Business Functions [project 4729]. The Water Research Foundation. http://www.waterrf.org/resource/climate-data-and-information-spectrum-case-studies
  More info

  10pp
• Baglee, A., Haworth, A., O'Connor, C., Overpeck, J., Weiss, J. L., Jacobs, K. L., Falk, D. A., Haverland, A. C., & Garfin, G. M. (2017, August). SERDP Project RC2232 User Guide. April 2017. Best Practices for Assessing Climate Related Risk and Mainstreaming Climate Change Adaptation: Lessons Learned from DoD Installations in the Southwestern United States.. Strategic Environment and Research Development Program, SERDP.
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  This user guide summarizes findings from SERDP project RC-2232: Climate Change Impacts and Adaptation on Southwestern DoD Facilities and is offered as a collection of resources that DoD managers can use to plan and implement ongoing adaptation activities. Our research focused on assessment of climate related risk and the need for iterative climate change adaptation strategies that are aligned with DoD facilities management. Our overall guidance for climate decision-making is consistent with our original hypothesis—that best practices require direct engagement of installation personnel with researchers to identify current climate-related issues of concern, and connect them through cause-and-effect impact chains to amplified or attenuated future climate-related risks. We have identified an array of promising approaches for incorporating climate time-scale thinking and climate change considerations into DoD operational practices and provide an overview of techniques used to assess risk, a series of best practices, and a compilation of resources to support DoD climate-sensitive decision-making in this guidance document.
• Garfin, G. M., Falk, D. A., Jacobs, K. L., Weiss, J. L., Haverland, A. C., Baglee, A., Christopher, O., Brian, S., & Forrest, T. (2016, June). Selection of Climate Data, Global Climate Models, and Climate Projections. Prepared by the SERDP Project RC-2232 Team for the Strategic Environment Research and Development Program (SERDP).
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  This paper, requested by Dr. John Hall, describes the choice of climate data, climate models, and vegetation, fire and hydrology process models used in SERDP Project RC-2232. The data and models were used (a) to inform the project team’s initial assessments of climate variability and change affecting the region, (b) to communicate historic and projected climate changes to personnel at installations in the southwestern United States, during climate adaptation planning workshops, and (c) as the basis for climate impact modeling studies focused on addressing specific concerns identified during the workshops. Data sources were selected, based on the following criteria: (a) authoritativeness, (b) ease of access, (c) fit with impact applications. Global climate models (GCMs) were selected on the basis of fidelity to the statistical characteristics of historical climatology, (b) availability and accessibility of climate projection data.
• LeRoy, S. R., Meadow, A., & Weiss, J. L. (2018, December). Climate-related Hazards in the Highlands at Dove Mountain. Climate Assessment for the Southwest (CLIMAS).
• Wasley, E., Jacobs, K. L., & Weiss, J. L. (2019, January). Mapping Climate Exposure and Climate Information Needs to Utility Business Functions. The Water Research Foundation.
• Weiss, J. L., Jacobs, K. L., & Wasley, E. (2018, December). Mapping Climate Exposure and Climate Information Needs to Utility Business Functions, WRF Project #4729 Final Report. Water Research Foundation.
• LeRoy, S. R., Meadow, A., & Weiss, J. L. (2018, December). Climate-related Hazards in the Town of Oro Valley. Climate Assessment for the Southwest (CLIMAS).
• Meadow, A., LeRoy, S. R., Weiss, J. L., & Keith, L. (2018, April). Climate Profile for the City of Flagstaff, Arizona. Climate Assessment for the Southwest (CLIMAS).
• Weiss, J. L., & Roudaut, M. B. (2018, March). An Introduction to “Improved Understanding of Climate Variability and Change Relevant to Orchards and Vineyards in Arizona and New Mexico” – Bonita, Arizona. Climate Assessment for the Southwest (CLIMAS).
• Weiss, J. L., & Roudaut, M. B. (2018, March). An Introduction to “Improved Understanding of Climate Variability and Change Relevant to Orchards and Vineyards in Arizona and New Mexico” – Farmington Agricultural Science Center, New Mexico. Climate Assessment for the Southwest (CLIMAS).
• Weiss, J. L., & Roudaut, M. B. (2018, March). An Introduction to “Improved Understanding of Climate Variability and Change Relevant to Orchards and Vineyards in Arizona and New Mexico” – Los Lunas 3 SSW, New Mexico. Climate Assessment for the Southwest (CLIMAS).
• Weiss, J. L., & Roudaut, M. B. (2018, March). An Introduction to “Improved Understanding of Climate Variability and Change Relevant to Orchards and Vineyards in Arizona and New Mexico” – State University, New Mexico. Climate Assessment for the Southwest (CLIMAS).
• Weiss, J. L., & Roudaut, M. B. (2018, March). An Introduction to “Improved Understanding of Climate Variability and Change Relevant to Orchards and Vineyards in Arizona and New Mexico” – Yavapai College Verde Valley Campus, Arizona. Climate Assessment for the Southwest (CLIMAS).
• Weiss, J. L., & Roudaut, M. B. (2018, September). Initial Assessment of Daily Minimum Temperature from Data Loggers in Routson Orchards. Climate Assessment for the Southwest (CLIMAS).
• Weiss, J. L., Crimmins, M. A., DuBois, D., & Garfin, G. M. (2018, December). El Niño 2018-2019? An Overview of What It Might Mean for New Mexico. CLIMAS Climate Fact Sheet.
• Weiss, J. L., Crimmins, M. A., Garfin, G. M., & Brown, P. W. (2018, December). El Niño 2018-2019? An Overview of What It Might Mean for Arizona. University of Arizona Cooperative Extension Climate Fact Sheet.
• Weiss, J. L., LeRoy, S. R., Meadow, A., & Castro, C. L. (2018, June). Climate Change Impacts on the North American Monsoon: Summary for Tohono O’odham Nation. Climate Assessment for the Southwest (CLIMAS).
• Weiss, J. L. (2017, March). Climate, Arizona, and Horticulture: What Mattered in 2016 for Maricopa County Master Gardeners, and What Could Matter in Coming Decades. University of Arizona Cooperative Extension document.
• Meadow, A., Black, M., Crimmins, M. A., Ferguson, D. B., & Weiss, J. L. (2016, July). Climate Profile of Gila River Indian Community. Center for Climate Adaptation Science and Solutions - Native Nations Climate Adaptation Program.
• Meadow, A., Black, M., Crimmins, M. A., Ferguson, D. B., & Weiss, J. L. (2016, October). Climate Profile of the Pueblo of Sandia. Center for Climate Adaptation Science and Solutions - Native Nations Climate Adaptation Program.
• Weiss, J. L., Crimmins, M. A., Garfin, G. M., & Brown, P. A. (2016, March). El Niño 2015-2016 : Will It Affect Snowfall in Arizona’s Highcountry?. University of Arizona Cooperative Extension Climate Fact Sheet.
• Weiss, J. L., Crimmins, M. A., Garfin, G. M., & Brown, P. A. (2016, May). El Niño 2015-2016 : Will It Affect the Wildland Fire Season in Arizona?. University of Arizona Cooperative Extension Climate Fact Sheet.
• Weiss, J. L., Crimmins, M. A., Garfin, G. M., & Brown, P. W. (2016, March). El Nino 2015-2016: Will It Affect Snow in Arizona's Highcountry.
• Brown, P. W., Garfin, G. M., Crimmins, M. A., & Weiss, J. L. (2015, October). El Nino 2015-2016: Will It Influence Tropical Cyclones that Affect Arizona.
• Brown, P. W., Garfin, G. M., Crimmins, M. A., & Weiss, J. L. (2015, September). El Nino 2015-2016: An Overview of What It Might Mean for Arizona.
• Brown, P. W., Weiss, J. L., Garfin, G. M., Crimmins, M. A., Crimmins, M. A., Garfin, G. M., Weiss, J. L., & Brown, P. W. (2015, December). El Nino 2015-2016: Will It Affect Minimum Temperatures Across Arizona.
• Crimmins, M. A., Crimmins, M. A., Weiss, J. L., Weiss, J. L., Ferguson, D. B., Ferguson, D. B., Faulstich, H., & Faulstich, H. (2015, May). Hopi Climate: An Overview to Support Drought Monitoring and Management. Climate Assessment for the Southwest. http://www.climas.arizona.edu/sites/default/files/pdfclimas-report-finalprint.pdf
• Weiss, J. L., Crimmins, M. A., Garfin, G. M., & Brown, P. A. (2015, December). El Niño 2015-2016 : Will It Affect Minimum Temperatures across Arizona?. University of Arizona Cooperative Extension Climate Fact Sheet.
• Weiss, J. L., Crimmins, M. A., Garfin, G. M., & Brown, P. A. (2015, October). El Niño 2015-2016 : Will It Influence Tropical Cyclones that Affect Arizona?. University of Arizona Cooperative Extension Climate Fact Sheet.
• Weiss, J. L., Crimmins, M. A., Garfin, G. M., & Brown, P. A. (2015, September). El Niño 2015-2016 : An Overview of What It Might Mean for Arizona. University of Arizona Cooperative Extension Climate Fact Sheet.