Dr. Ryan Boyles is the Deputy Director of the Southeast Climate Adaptation Science Center (SE CASC), one of the nine regional centers that form the National and Regional Climate Adaptation Science Center network. He is an applied climatologist focused on using weather and climate science and data to support effective management of natural resources.
Ryan is an applied climatologist with emphasis on developing and delivering climate information and climate services relevant to decision making on various time scales for a range of sectors. His work is focused on how climate science can improve the understanding of impacts and adaptation for management of fish, wildlife, and ecosystems in the Southeastern US.
Over the past decade, he has lead development of climate datasets, web tools, and climate services targeted for use by human health, agriculture, and natural resource management sectors. These activities focus on the use of historical climate observations to assess the sensitivity of these sectors, experimental forecasting to provide short-term and seasonal guidance, and climate model downscaling to explore the potential changes in longer-term risk. Ryan led the development of more than 40 online tools for climate data search, analysis, visualization and applied decision support. He has received more than $11M is external grant funding between 2007-2016, and has given more than 100 invited community and professional presentations since 2007.
PROFESSIONAL EXPERIENCE
- 2016-present Deputy Director, Southeast Climate Adaptation Science Center, US Geological Survey, DOI
- 2016-present Adjunct Associate Professor, Department of Marine, Earth, and Atmospheric Sciences, NC State University
- 2006-2016 State Climatologist and Director, State Climate Office of North Carolina, NC State University
- 2014-2016 Extension Associate Professor, Department of Marine, Earth, and Atmospheric Sciences, NC State University
- 2007-2013 Extension Assistant Professor, Department of Marine, Earth, and Atmospheric Sciences, NC State University
- 2001-2006 Associate State Climatologist, State Climate Office of North Carolina, NC State University
- 1998-2000 Meteorologist, State Climate Office of North Carolina, NC State University
Professional Affiliations:
- Member, American Meteorological Society (AMS), since 1995
- AMS Committee on Applied Climatology, 2008-2011
- Program Co-Chair, 2011 Conference on Applied Climatology, Asheville, NC
- Member, AMS Committee on Climate Services, 2009-2012
- AMS Committee on Applied Climatology, 2008-2011
- Member, Executive Council, NCSU Academy of Outstanding Faculty Engaged in Extension (AOFEE), 2009-2012
- Chair, AOFEE, 2010-2011
- Member, American Association of State Climatologists, since 1998
- Member, NC Drought Management Advisory Council (2001-2014)
- Member, NC Hazard Mitigation Advisory Group (2003-2015)
- State Coordinator, CoCoRaHS Network of volunteer precipitation observers (2008-2010)
- Member, NC Legislative Commission on Global Climate Change (2008-2010)
Education and Certifications
Ph.D. in Marine, Earth, and Atmospheric Sciences, North Carolina State University
M.S. in Marine, Earth, and Atmospheric Sciences, North Carolina State University
Science and Products
Characterizing Climate Change Impacts on Species Ecology to Support Species Status Assessments
Webinar: Visualizing the Impact of Future Climate on Pine Forests
Evaluating Downscaled Climate Models for Projecting Future Changes in the Southeast
User engagement testing with a pilot decision support tool aimed to support species managers
Potential effects of climate change on Emydoidea blandingii (Blanding’s turtle)
Potential effects of climate change on Ambystoma barbouri (streamside salamander)
Potential effects of climate change on Appalachian stoneflies (Remenus kirchneri, Acroneuria kosztarabi, and Tallaperla lobata)
Future changes in habitat availability for two specialist snake species in the imperiled rocklands of South Florida, U.S.A.
Potential effects of climate change on snail kites (Rostrhamus sociabilis plumbeus) in Florida
Improving species status assessments under the U.S. Endangered Species Act and implications for multispecies conservation challenges worldwide
Science needs of southeastern grassland species of conservation concern: A framework for species status assessments
Visually communicating future climate in a web environment
High‐resolution dynamically downscaled rainfall and temperature projections for ecological life zones within Puerto Rico and for the U.S. Virgin Islands
Website usability differences between males and females: An eye-tracking evaluation of a climate decision support system
Downscaling future climate change projections over Puerto Rico using a non-hydrostatic atmospheric model
Non-USGS Publications**
Vol 98, 2016, pp. 122–131.
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Science and Products
- Science
Characterizing Climate Change Impacts on Species Ecology to Support Species Status Assessments
Species Status Assessments provide vital information to US Fish and Wildlife for improving considerations for climate change impacts. In the constrained timeline of species listing decisions, it is not always feasible to conduct lengthy quantitative analyses so there is a need for better resources to provide input for rapid decision-making. In this project, the team will work with species status aWebinar: Visualizing the Impact of Future Climate on Pine Forests
View this webinar to learn how scientists are exploring the potential future impacts of climate change on pine forests.Evaluating Downscaled Climate Models for Projecting Future Changes in the Southeast
Climate change is likely to have many effects on natural ecosystems in the Southeast U.S. While there is information available to conservation managers and ecologists from the global climate models (GCMs), this information is at too coarse a resolution for use in vulnerability assessments and decision making. To better assess how climate change could affect multiple sectors, including ecosystems, - Publications
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User engagement testing with a pilot decision support tool aimed to support species managers
Species status assessments (SSAs) are required for endangered species by the U.S. Fish and Wildlife Service and focus on the resiliency, redundancy, and representation of endangered species. SSAs must include climate information, because climate is a factor that will impact species in the future. To aid in the inclusion of climate information, a decision support system (DSS) entitled Climate AnalyAuthorsHaven J. Cashwell, Karen S. McNeal, Kathie Dello, Ryan Boyles, Corey DavisPotential effects of climate change on Emydoidea blandingii (Blanding’s turtle)
Emydoidea blandingii (Holbrook, 1838; Blanding’s turtles) are a species of medium-sized, long-lived, semiaquatic, freshwater turtles with a wide distribution across the northern and eastern United States and southern Canada. They have an annual activity cycle consisting of late autumn and winter overwintering and spring emergence, spring movement and foraging, spring and summer nesting, and summerAuthorsMarta P. Lyons, Catherine A. Nikiel, Olivia E. LeDee, Ryan BoylesPotential effects of climate change on Ambystoma barbouri (streamside salamander)
Ambystoma barbouri (streamside salamanders) are stream-breeding mole salamanders that rely on seasonally intermittent, fishless streams for egg and larval development but are primarily fossorial as adults. Climate-driven changes are likely to alter streamflow duration, peak, and seasonality within the range of A. barbouri, reducing reproductive habitat and larval survival. Although future changesAuthorsMarta P. Lyons, Olivia E. LeDee, Ryan BoylesPotential effects of climate change on Appalachian stoneflies (Remenus kirchneri, Acroneuria kosztarabi, and Tallaperla lobata)
Plecoptera (stoneflies) are an order of insects where most species rely on clean, fast-moving freshwater for an aquatic larval stage followed by a short terrestrial adult stage. Most species of Plecoptera seem to be restricted to specific stream types and thermal regimes. Climate-driven changes are likely to alter stream temperatures and flow, resulting in physiological stress, reduced reproductivAuthorsMarta P. Lyons, Catherine A. Nikiel, Olivia E. LeDee, Ryan BoylesFuture changes in habitat availability for two specialist snake species in the imperiled rocklands of South Florida, U.S.A.
Rockland habitat in South Florida, USA, is a threatened ecosystem that has been lost, fragmented, or degraded because of urbanization or other anthropogenic disturbance. Furthermore, low-lying islands and coastal areas are experiencing sea level rise (SLR) and an increased frequency and intensity of tidal flooding, putting rockland habitats there at increasing risk of ecological change. We evaluatAuthorsSuresh C. Subedi, Susan C. Walls, William Barichivich, Ryan Boyles, Michael S. Ross, J. Aaron Hogan, John A. TupyPotential effects of climate change on snail kites (Rostrhamus sociabilis plumbeus) in Florida
The snail kite (Rostrhamus sociabilis plumbeus), an endangered, wetland-dependent raptor, is highly sensitive to changes in hydrology. Climate-driven changes in water level will likely affect snail kite populations—altering reproductive success and survival rates. Identifying the mechanisms mediating the direct and indirect effects of climate on snail kite populations and the range of future climaAuthorsMarta P. Lyons, Olivia E. LeDee, Ryan BoylesImproving species status assessments under the U.S. Endangered Species Act and implications for multispecies conservation challenges worldwide
Despite its successes, the U.S. Endangered Species Act (ESA) has proven challenging to implement due to funding limitations, workload backlog, and other problems. As threats to species survival intensify and as more species come under threat, the need for the ESA and similar conservation laws and policies in other countries to function efficiently has grown. Attempts by the U.S. Fish and WildlifeAuthorsReed Noss, Jennifer M. Cartwright, Dwayne Estes, Theo Witsell, Gregg Elliott, Daniel S. Adams, Matthew A. Albrecht, Ryan Boyles, Patrick Comer, Chris Doffitt, JoVonn G. Hill, William C. Hunter, Wesley M. Knapp, Mike Marshall, Jason R. Singhurst, Christopher Tracey, Jeffrey L. Walck, Alan WeakleyScience needs of southeastern grassland species of conservation concern: A framework for species status assessments
The unglaciated southeastern United States is a biodiversity hotspot, with a disproportionate amount of this biodiversity concentrated in grasslands. Like most hotspots, the Southeast is also threatened by human activities, with the total reduction of southeastern grasslands estimated as 90 percent (upwards to 100 percent for some types) and with many threats escalating today. This report summarizAuthorsReed F. Noss, Jennifer M. Cartwright, Dwayne Estes, Theo Witsell, K. Gregg Elliott, Daniel S. Adams, Matthew A. Albrecht, Ryan Boyles, Patrick J. Comer, Chris Doffitt, Don Faber-Langendoen, JoVonn G. Hill, William C. Hunter, Wesley M. Knapp, Mike Marshall, Milo Pyne, Jason R. Singhurst, Christopher Tracey, Jeffrey L. Walck, Alan WeakleyVisually communicating future climate in a web environment
While there is growing demand for use of climate model projections to understand the potential impacts of future climate on resources, there is a lack of effective visuals that convey the range of possible climates across spatial scales and with uncertainties that potential users need to inform their impact assessments and studies. We use usability testing including eye tracking to explore how a gAuthorsCorey Davis, Heather D Aldridge, Ryan Boyles, Karen McNeal, Lindsay C. Mauldin, Rachel M. AtkinsHigh‐resolution dynamically downscaled rainfall and temperature projections for ecological life zones within Puerto Rico and for the U.S. Virgin Islands
The weather research and forecasting (WRF) model and a combination of the regional spectral model (RSM) and the Japanese Meteorological Agency Non‐Hydrostatic Model (NHM) were used to dynamically downscale selected CMIP5 global climate models to provide 2‐km projections with hourly model output for Puerto Rico and the U.S. Virgin Islands. Two 20‐year time slices were downscaled for historical (198AuthorsJared H. Bowden, Adam Terando, Vasu Misra, Adrienne Wootten, Amit Bhardwaj, Ryan Boyles, William A. Gould, Jaime A. Collazo, Tanya SperoWebsite usability differences between males and females: An eye-tracking evaluation of a climate decision support system
Decision support systems, which are collections of related information located in a central place, can be used as platforms from which climate information can be shared with decision-makers. In this study, a web-based climate decision support system (DSS) for foresters in the Southeast United States was evaluated using eye-tracking technology. The initial study design was exploratory and focused oAuthorsLindsay C. Mauldin, Karen McNeal, Heather D Aldridge, Corey Davis, Ryan Boyles, Rachel M. AtkinsDownscaling future climate change projections over Puerto Rico using a non-hydrostatic atmospheric model
We present results from 20-year “high-resolution” regional climate model simulations of precipitation change for the sub-tropical island of Puerto Rico. The Japanese Meteorological Agency Non-Hydrostatic Model (NHM) operating at a 2-km grid resolution is nested inside the Regional Spectral Model (RSM) at 10-km grid resolution, which in turn is forced at the lateral boundaries by the Community ClimAuthorsAmit Bhardwaj, Vasubandhu Misra, A. Mishra, Adrienne Wootten, Ryan Boyles, J.H. Bowden, Adam J. TerandoNon-USGS Publications**
Bhardwaj, A., V. Misra, A. Mishra, A. Wootten, R. Boyles, J. H. Bowden, and A. Terando, (2018). Downscaling Future Climate Change Projections over Puerto Rico using a Non-Hydrostatic Atmospheric Model. Climatic Change, in press
Mahmood,R., R. Boyles, K. Brinson, C. Fiebrich, S. Foster, K. Hubbard, D. Robinson, J. Andresen, and D. Leathers (2017). Mesonets: Meso-Scale Weather and Climate Observations for the U.S. Bulletin of the American Meteorological Society, July 2017, pp. 1349-1361Coopersmith, E., M. Cosh, J. Bell, R Boyles (2016). Extrapolating in situ soil moisture data records to the near surface with machine learning: A multi-depth analysis of USCRN profiles and an application for AMSR-E satellite validation with ECONet sensors. Advances in Water Resources.
Vol 98, 2016, pp. 122–131.Ward. R. and R. Boyles (2016). Evaluation of a High Resolution SPI for Monitoring Local Drought Severity. J. Applied Meteorology and Climatology, Vol 55, pp. 2247-2262.Wootten, A., J. Bowden, A. Terando, and R. Boyles (2016). The Sensitivity of WRF downscaled precipitation in Puerto Rico to Cumulus Parameterization and Interior Grid Nudging. J. Applied Meteorology and Climatology, Vol 55, pp. 2263-2281Rejesus, R., K. Coble, M. Miller, R. Boyles, B. Goodwin, T. Knight (2015). Accounting for weather probabilities in crop insurance rating. Journal of Agriculture and Resource Economics, Vol 40, No 2, pp. 306-324Wootten, A., K. Smith, R. Boyles, A. Terando, L. Stefanova, V. Misra, T. Smith, D. Blodgett, and F. Semazzi (2014). Downscaled climate projections for the southeast U.S.: Evaluation and use for ecological applications. USGS Open Open-File Report 2014–1190, 54 pWootten, A. and R. Boyles (2014). Comparison of NCEP Multi-sensor Precipitation Estimates with Independent Gauge Data Over the Eastern U.S. Journal of Applied Meteorology and Climatology, Vol 53, pp. 2848-2862Wootten, A., K. Smith, J. Bowden, T. Otte, and R. Boyles (2014). Regional Climate Variations and Change for Terrestrial Ecosystems Workshop Review. Bulletin of the Ecological Society of America 95:96–97Coble, K.H., T.O. Knight, M.F. Miller, B.J. Goodwin, R. Rejesus, and R. Boyles (2013). Estimating Structural Change in U.S. Crop Insurance Experience. Agriculture Finance Review, Vol 73, Issue 1, 74-87Pan, W., R. Boyles; J. G. White; J. L. Heitman (2012). Characterizing soil physical properties for soil moisture monitoring with the North Carolina Environment and Climate Observing Network. Journal of Atmospheric and Oceanic Technology, Vol 29, pp. 933-943.Misra, V., J.-P. Michael, R. Boyles, E. P. Chassignet, M. Griffin, J. J. O’Brien (2012). Reconciling the Spatial Distribution of the Surface Temperature Trends in the Southeastern United States. J. Climate, 25, 3610–3618.Breuer, N., H. Dinon, R. Boyles, and G. Wilkerson (2011). North Carolina extension agent awareness of and interest in climate information. Online. Journal of Service Climatology, No. 4.Ojiambo, P. S., Holmes, G. J., Britton, W., Keever, T., Adams, M. L., Babadoost, M., Bost, S. C., Boyles, R., Brooks, M., Damicone, J., Draper, M. A., Egel, D. S., Everts, K. L., Ferrin, D. M., Gevens, A. J., Gugino, B. K., Hausbeck, M. K., Ingram, D. M., Isakeit, T., Keinath, A. P., Koike, S. T., Langston, D., McGrath, M. T., Miller, S. A., Mulrooney, R., Rideout, S., Roddy, E., Seebold, K. W., Sikora, E. J., Thornton, A., Wick, R. L., Wyenandt, C. A., and Zhang, S. (2011). Cucurbit downy mildew ipmPIPE: A next generation web-based interactive tool for disease management and extension outreach. Online. Plant Health Progress.
Raman, S., J. Kehoe, and R. Boyles (2010). Characteristics of land falling tropical cyclones in North Carolina. Journal of Marine Geodesy, Vol. 33, No. 4.
Reyes, M., H. Suda, M. Brooks, and R. Boyles (2010). Proposed standard for automatic calculation of rainfall erosivity. Applied Engineering for Agriculture, Vol 26(3), pp. 401-403.Carbone, G., J. Rhee, H. Mizzell, and R. Boyles (2008). A regional-scale drought monitoring tools for the Carolinas. Bulletin of the American Meteorological, Vol 89, pp 20-28.Boyles, R., S. Raman, and A. Sims (2007). Sensitivity of mesoscale precipitation dynamics to surface soil and vegetation contrasts over the Carolina Sandhills. Pure and Applied Geophysics, Vol 164, pp 1547-1576.Childs, Peter, Jr., S. Raman, and R. Boyles (2007): High resolution numerical simulations of Hurricane Isabel (2003) over North Carolina, Natural Hazards, Vol 41, pp 401-411.
Holder, C., R. Boyles, P. Robinson, S. Raman, and G. Fishel (2006). Calculating a daily normal temperature range that reflects daily temperature variability. Bulletin of the American Meteorological Society, Vol 87, pp 769-774.Holder, C., R. Boyles, A. Syed, D. Niyogi, and S. Raman (2006). Comparison of collocated automated (NCECONet) and manual (COOP) climate observations in North Carolina. Journal of Atmospheric and Oceanic Technology, Vol. 23, pp 671-682.Childs, P., A.L.Qureshi, S.Raman, K.Alapaty, R.Ellis, R.Boyles, and D.Niyogi (2006). Simulation of convective initiation during IHOP_2002 using the flux-adjusting surface data assimilation system (FASDAS), Monthly Weather Review, 134, 134-148.
Raman, S., A. Sims, R. Ellis, and R. Boyles (2005). Numerical simulation of mesoscale circulations in a region of contrasting soil types. Pure and Applied Geophysics, Vol. 162, pp 1698-1714.Boyles, R. P. and S. Raman (2003). Analysis of climate trends in North Carolina (1949-1998), Environment International, Vol 29, pp 263 – 275.**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
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