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Ryan Boyles

USGS Deputy Director

Southeast Climate Adaptation Science Center

919-513-2816

http://www.usgs.gov/staff-profiles/ryan-boyles

Dr. Ryan Boyles is the Deputy USGS Director of the Southeast Climate Adaptation Science Center (SE CASC), one of nine centers in the United States at the core of the Department of the Interior’s adaptation and conservation goals. He focuses on using weather & climate science and data to support effective management of natural and cultural resources.

Ryan is a native of North Carolina and 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. 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.

Peer-Reviewed Publications

Downscaling Future Climate Change Projections over Puerto Rico using a Non-Hydrostatic Atmospheric Model. 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.

Characterizing sources of uncertainty from global climate models and downscaling techniques. Wootten, A., A. Terando, B.J. Reich, R. Boyles, and F. Semazzi (2017). Characterizing sources of uncertainty from global climate models and downscaling techniques. Journal of Applied Meteorology and Climatology, Vol 56, pp 3245-3262.

Mesonets: Meso-Scale Weather and Climate Observations for the U.S. Mahmood,R., R. Boyles, K. Brinson, C. Fiebrich, S. Foster, K. Hubbard, D. Robinson, J. Andresen, and D. Leathers (2016). Mesonets: Meso-Scale Weather and Climate Observations for the U.S. Bulletin of the American Meteorological Society, July 2017, pp. 1349-1361

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. Coopersmith, 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.

Evaluation of a High Resolution SPI for Monitoring Local Drought Severity. 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.

The Sensitivity of WRF downscaled precipitation in Puerto Rico to Cumulus Parameterization and Interior Grid Nudging. 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. 2263-2281

Accounting for weather probabilities in crop insurance rating. Rejesus, 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. 306-324

Downscaled climate projections for the southeast U.S.: Evaluation and use for ecological applications. Wootten, 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 p

Comparison of NCEP Multi-sensor Precipitation Estimates with Independent Gauge Data Over the Eastern U.S. Wootten, 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. 2848-2862

Regional Climate Variations and Change for Terrestrial Ecosystems Workshop Review. Wootten, 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 95:96–97

Estimating Structural Change in U.S. Crop Insurance Experience. Coble, 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, 74-87

Characterizing soil physical properties for soil moisture monitoring with the North Carolina Environment and Climate Observing Network. Pan, 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.

Reconciling the Spatial Distribution of the Surface Temperature Trends in the Southeastern United States. 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.

North Carolina extension agent awareness of and interest in climate information. 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.

Cucurbit downy mildew ipmPIPE: A next generation web-based interactive tool for disease management and extension outreach. 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.

Proposed standard for automatic calculation of rainfall erosivity. 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.

A regional-scale drought monitoring tools for the Carolinas. 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.

Sensitivity of mesoscale precipitation dynamics to surface soil and vegetation contrasts over the Carolina Sandhills. 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.

Calculating a daily normal temperature range that reflects daily temperature variability. 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.