Steven Quiring

Professor
Faculty
Current CV: PDF icon PDF icon Steven_Quiring_CV.pdf

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 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
GEOG 5921 Microclimatology: Boundary Layer Climatology
GEOG 8901 Problems in Climatology
GEOG 8902 Applied Climatology

Select Publications:

Ford, T. W. and S. M. Quiring (2019) Comparison of contemporary in situ, model, and satellite remote sensing soil moisture with a focus on drought monitoring. Water Resources Research, 55: 1565-1582. DOI: 10.1029/2018WR024039

Li, Z., Li, X., Wang, Y. and S. M. Quiring (2019) Impact of climate change on precipitation patterns in Houston, Texas USA. Anthropocene: 25: 100193. https://doi.org/10.1016/j.ancene.2019.100193

Ford, T. W., Quiring, S. M., Thakur, B., Jogineedi, R., Houston, A., Yuan, S., Kalra, A. and N. Lock (2018) Evaluating Soil Moisture-Precipitation Interactions Using Remote Sensing: A Sensitivity Analysis. Journal of Hydrometeorology. 19: 1237–1253. https://doi.org/10.1175/JHM-D-17-0243.1

Shashanni, S., Guikema, S. D., Zhai, C., Pino, J. V. and S. M. Quiring (2018) Multi-stage prediction for zero-inflated hurricane induced power outages. IEEE Access, 6: 62432-62449. DOI: 10.1109/ACCESS.2018.2877078

Quiring S. M., Ford T. W., Wang J. K., Khong A., Harris E., Lindgren T., Goldberg D. W., Li Z. (2016) North American Soil Moisture Database: Development and Applications. Bulletin of the American Meteorological Society, 97: 1441–1459, doi: 10.1175/BAMS-D-13-00263.1

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

 

 

Areas of Expertise
  • Climatology
  • Climate Change
  • Quantitative Methods
Education
  • 2005. Ph.D. (Climatology), University of Delaware, Newark, Delaware.
  • 2001. M.A. (Geography), University of Manitoba, Winnipeg, Manitoba, Canada.
  • 1999. B.A. (Geography), University of Winnipeg, Winnipeg, Manitoba, Canada.

Picture for quiring.10

Phone:
614-247-8222
Fax:
614-292-6213
1124 Derby Hall