Bio 

Greg Carbone earned a B.A. from Clark University, an M.A. from the University of Kansas, and a Ph.D from the University of Wisconsin. His research includes climate variability and change and climate impacts. He is an investigator with the Carolinas Integrated Sciences and Assessments (CISA) program, a NOAA-sponsored center designed to work with decision makers to improve the use of climate information in resource management. His most recent work exams the spatial and temporal nature of drought and the use of climate change scenarios for decision making. Carbone has won university teaching awards for his instruction of weather and climate courses. 

Research 

Greg Carbone’s research interests center on climate variability and change and their impacts during the instrumental period. Two areas characterize his most recent work. These include investigation of the spatial and temporal nature of drought and measurement of its intensity and duration. Related to this work, he co-developed a web-based drought-monitoring tool for the Carolinas. A second focus has involved development and assessment of climate change scenarios and their application for regional decision making. This has included the use of general circulation model and regionally-downscaled output, and has centered on tailoring projections of climate change to decision making. 

Teaching 

• GEOG 202: Introduction to Weather and Climate
• GEOG 346: Climate and Society
• GEOG 573: Climate Change and Variability
• GEOG 746: Seminar in Climatology 
• SCHC 380: Broadcast Meteorology

Representative Publications 

Carbone, G.J., J. Fleming, K. Ellis, and G. Espinosa. 2023. Lessons learned from incorporating climate considerations in the Three Rivers Watershed-Based Plan. Journal of South Carolina Water Resources 9(1): 51-60.

Moraglia, G., E. Brattich, and G.J. Carbone. 2022. Precipitation trends in North and South Carolina, USA. Journal of Hydrology Regional Studies 44: 101201. https://doi.org/10.1016/j.ejrh.2022.101201.

Lu, J., G.J. Carbone, X. Huang, K. Lackstrom, and P. Gao. 2020. Mapping the sensitivity of agriculture to drought and estimating the effects of irrigation on the sensitivity in the United States, 1950-2016. Agricultural and Forest Meteorology, 292-293, 108124. DOI: 10.1016/j.agrformet.2020.108124.

Hung, C.-L. J., L. A. James, G. J. Carbone, and J. M. Williams. 2020. Impacts of Combined Land-use and Climate Change on Streamflow in Two Nested Catchments in the Southeastern United States. Ecological Engineering, 143, 105665. https://doi.org/10.1016/j.ecoleng.2019.105665.

Houser, C., G. Carbone, C. Lafon, Y. Li, and J. Mossa. 2020. Building on the legacy of Carol Harden. Physical Geography 41:1, 1-2, DOI: 10.1080/02723646.2020.1715623.

Lu, J., G.J. Carbone, and J. Grego. 2019. Uncertainty and hotspots in 21st century projections of agricultural drought from CMIP5 models. Scientific Reports 9, Article number: 4922.

Lu, J., G.J. Carbone, and P. Gao. 2019. Mapping the agricultural drought based on the long-term AVHRR NDVI and North American Regional Reanalysis (NARR) in the United States, 1981-2013. Applied Geography 104: 10–20.

Gao, P., G.J. Carbone, and J. Lu. 2018. Flood simulation in South Carolina watersheds using different precipitation inputs. Advances in Meteorology. Article ID 4085463.

Hung, C.-L., L.A. James, and G.J. Carbone. 2018. Impacts of urbanization on stormflow magnitudes in small catchments in the Sandhills of South Carolina, USA. Anthropocene 23: 17–28.

Carbone, G.J., J. Lu, M. Brunetti. 2018. Estimating uncertainty associated with the standard precipitation index. International Journal of Climatology. DOI: 10.1002/joc.5393

Gao, P., G.J. Carbone, J. Lu, and D. Guo. 2017. An Area-Based Approach for Estimating Extreme Precipitation Probability. Geographical Analysis. doi:10.1111/gean.12148

Lu, J., G. J. Carbone and P. Gao. 2017. Detrending crop yield data for spatial visualization of drought impacts in the United States, 1895–2014. Agricultural and Forest Meteorology, 237–238, 196-208. DOI: http://dx.doi.org/10.1016/j.agrformet.2017.02.001

Li, Z., Q. Huang, G.J. Carbone, F. Hu. 2016. A High Performance Query Analytical Framework for Supporting Data-intensive Climate Studies. Computers, Environment and Urban Systems 62:  210-221.  DOI:  10.1016/j.compenvurbsys.2016.12.003.

Lackstrom, K., G.J. Carbone, D.J. Tufford, A. Patel. 2016. Climate and water resources in the Carolinas:  Approaches to applying global climate change information to local decisions. Journal of South Carolina Water Resources 3(1):  49-61.  

Gao, P., G.J. Carbone, and D. Guo. 2015. Assessment of NARCCAP Model in Simulating Rainfall Extremes Using a Spatially Constrained Regionalization Method. International Journal of Climatology doi: 10.1002/joc.4500

Kabela, E.D. and Carbone, G.J. 2015. NARCCAP Model Skill and Bias for the Southeast United States. American Journal of Climate Change 4, 94-114.

Carbone, G.J. 2014. Managing climate change scenarios for societal impact studies. Physical Geography 35(1): 22-49.  https://doi.org/10.1080/02723646.2013.869714