Interests: Climatology, Hydroclimatology, Synoptic Climatology, Climate Data Analytics

Current Research:
I am a climatologist with research interests in hydroclimatology, synoptic climatology and applying climate data to solve societally-relevant problems (climate data analytics). My current research projects are concentrated in two areas. The first is improving our understanding of the land-atmosphere interactions and applying this information to improve drought and seasonal climate predictability. The second is modeling the impact of weather events on power infrastructure. A lot of our past work has focused on the impacts of hurricanes on the power system and now we are expanding our focus to look at thunderstorms and winter storms. I utilize a variety of utilizing a variety of data mining and data analytics approaches in my research. I also employ a variety of models, including: weather/climate, hydrologic, land surface and crop yield.

Courses Taught:
GEOG 5900 Weather, climate, and global warming

Select Publications:
Quiring S. M., Ford T. W., Wang J. K., Khong A., Harris E., Lindgren T., Goldberg D. W., Li Z. (in press) North American Soil Moisture Database: Development and Applications. Bulletin of the American Meteorological Society. doi: 10.1175/BAMS-D-13-00263.1

Dirmeyer, P. A., Wu, J., Norton, H. E., Dorigo, W. A., Quiring, S. M., Ford, T. W.,  Santanello Jr., J. A., Bosilovich, M. G., Ek, M. B., Koster, R. D., Balsamo, G. and D. M. Lawrence (2016) Confronting weather and climate models with observational data from soil moisture networks over the United States. Journal of Hydrometeorology, 17, 1049-1067, doi: 10.1175/JHM-D-15-0196.1.

Ford, T. W., D. B. McRoberts, Quiring, S. M. and R. Hall (2015) On the utility of in situ soil moisture observations for flash drought early warning in Oklahoma, USA. Geophysical Research Letters, 42: 9790–9798. doi: 10.1002/2015GL066600

Ford, T. W. and S. M. Quiring (2014) In-situ soil moisture coupled with extreme temperatures: A study based on the Oklahoma Mesonet. Geophysical Research Letters, 41: 4727–4734. doi: 10.1002/2014GL060949

Quiring, S. M., Schumacher, A. B. and S. D. Guikema (2014) Incorporating hurricane forecast uncertainty information into decision support applications. Bulletin of the American Meteorological Society, 95: 47-58. doi: 10.1175/BAMS-D-12-00012.1