Publications
2020 | 2019 | 2018 | 2017 | 2016
2020
Anderson, G. B., Ferreri, J., Al-Hamdan, M., Crosson, W., Schumacher, A., Guikema, S., Quiring, S., Eddelbuettel, D., Yana, M. and R. D. Peng (2020) Assessing United States county-level exposure for research on tropical cyclones and human health. Environmental Health Perspectives, 128 (10): CID: 107009. https://doi.org/10.1289/EHP6976
Ford, T. W., Quiring, S. M., Zhao, C., Leasor, Z. T., and C. Landry (2020) Statistical Evaluation of In Situ Soil Moisture Observations from 1,200+ Stations as part of the U.S. National Soil Moisture Network. Journal of Hydrometeorology, 21 (11): 2537–2549. https://doi.org/10.1175/JHM-D-20-0108.1
Yuan, S., Quiring, S. M. and C. Zhao (2020) Evaluation of Drought Indices as Soil Moisture Proxies in the Southern U.S. Great Plains. Journal of Hydrometeorology, 21 (9): 2157–2175. doi: https://doi.org/10.1175/JHM-D-20-0022.1.
Wongso, E., Nateghi, R., Zaitchik, B., Quiring, S. M. and R. Kumar (2020) Leveraging statistical learning theory to characterize the U.S. water consumption. Water Resources Research, 56: e2019WR024894. https://doi.org/10.1029/2019WR024894
Tian, L., Leasor, Z. and S. M. Quiring (2020) Developing a new drought index: Precipitation Evapotranspiration Difference Condition Index. Climate Risk Management. 29: 100238. https://doi.org/10.1016/j.crm.2020.100238
Yuan, S., Quiring, S. M., Kalcic, M. M., Postel, A. M., Evenson, G. R., and H. A. Kujawa (2020) Optimizing climate model selection for hydrological modeling: a case study in the Maumee River Basin using SWAT. Journal of Hydrology, 588: 125064. https://doi.org/10.1016/j.jhydrol.2020.125064
Leasor, Z. T., Quiring, S. M. and M. D. Svoboda (2020) Utilizing Objective Drought Severity Thresholds to Improve Drought Monitoring. Journal of Applied Meteorology and Climatology, 59: 455–475. https://doi.org/10.1175/JAMC-D-19-0217.1
Zhao, C., Quiring, S. M., Yuan, S., McRoberts, D. B., Zhang, N. and Z. Leasor (2020) Developing and Evaluating National Soil Moisture Percentile Maps. Soil Science Society of America Journal, 84: 443-460. https://doi.org/10.1002/saj2.20045
Yuan, S., Wang, Y., Quiring, S. M., Ford, T. W. and A. L. Houston (2020) A sensitivity study on the response of convective initiation to in situ soil moisture in the central United States. Climate Dynamics, 54: 2013–2028. https://doi.org/10.1007/s00382-019-05098-0
Yuan, S., Quiring, S. M., Zhu, L., Huang, Y. and J. Wang (2020) Development of a Typhoon Power Outage Model in Guangdong, China. International Journal of Electrical Power and Energy Systems: 117: 105711. https://doi.org/10.1016/j.ijepes.2019.105711
Vicente-Serrano, S., Quiring, S. M., Peña-Gallardo, M., Yuan, S. and F. Domínguez-Castro (2020) A review of environmental droughts: Increased risk under global warming? Earth-Science Reviews: 201: 102953. https://doi.org/10.1016/j.earscirev.2019.102953
2019
Zhang, N., Li, Z., Zou, X. and S. M. Quiring (2019) Comparison of three short-term load forecast models in Southern California. Energy: 119: 116358. https://doi.org/10.1016/j.energy.2019.116358
D’Amico, D. F., Quiring, S. M., Maderia, C. M. and D. B. McRoberts (2019) Improving the Hurricane Outage Prediction Model by Including Tree Species. Climate Risk Management: 25: 100193. https://doi.org/10.1016/j.crm.2019.100193
Tavakol, A., Rahmani, V., Quiring, S. M. and S. V. Kumar (2019) Validation analysis of NASA SMAP and SPoRT-LIS soil moisture data in the United States. Remote Sensing of Environment: 229: 234-246.
Kabir, E., Guikema, S. D. and S. M. Quiring (2019) Probabilistic Mixture Models for Predicting Thunderstorm-Induced Power Outages. IEEE Transactions on Power Systems: 34: 4370 – 4381. DOI: 10.1109/TPWRS.2019.2914214
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
Tian, L., and S. M. Quiring (2019) Spatial and temporal patterns of drought in Oklahoma (1901 to 2014). International Journal of Climatology: 39: 3365–3378. https://doi.org/10.1002/joc.6026
Krueger, E. S., Ochsner, T. E., and S. M. Quiring (2019) Development and evaluation of soil moisture-based indices for agricultural drought monitoring. Agronomy Journal: 111: 1-15. https://doi:10.2134/agronj2018.09.0558
Leasor, Z., Quiring, S. M., T. W. Ford and D. B. McRoberts (2019) Spatiotemporal variations of temperature persistence in the South-Central U.S. Climate Research, 77: 181-192. https://doi.org/10.3354/cr01550
Peña-Gallardo, M., Vicente-Serrano, S., Quiring, S. M., Svoboda, M., Hannaford, J., Tomas-Burguera, M., Martin-Hernandez, N., Domínguez-Castro, F., El Kenawy, A. (2019) Response of crop yield to different time-scales of drought in the United States: spatio-temporal patterns and climatic and environmental drivers. Agricultural and Forest Meteorology, 264: 40-55. https://doi.org/10.1016/j.agrformet.2018.09.019
2018
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
Berke P., Olivera F., Quiring, S. M. and J. A. Horney (2018) Addressing Challenges to Building Resilience through Interdisciplinary Research and Engagement Risk Analysis. DOI: 10.1111/risa.13202
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
Peña-Gallardo, M., Vicente-Serrano, S., Domínguez-Castro, F., Quiring, S. M., Svoboda, M., Hannaford, J., Tomas-Burguera, M., Martin-Hernandez, N., and A. El (2018) Analysis of the performance of drought indices to identify drought impacts in different crops over United States. Climate Research. 75: 221-240. https://doi.org/10.3354/cr01519.
Tian, L., Yuan, S. and S. M. Quiring (2018) Evaluation of six indices for monitoring agricultural drought in the south-central United States. Agricultural and Forest Meteorology, 249: 107-119. https://doi.org/10.1016/j.agrformet.2017.11.024
McRoberts, D. B., Guikema, S. D. and S. M. Quiring (2018) Improving hurricane power outage risk models through the inclusion of environmental factors. Risk Analysis, 38: 2722-2737. DOI:10.1111/risa.12728
2017
Zhang, N., Zhao, C., Quiring, S. M. and J. Lin (2017) Winter wheat yield prediction based on NDVI and agro-climate parameters in Oklahoma. Agronomy Journal, 109: 2700–2713. doi:10.2134/agronj2017.03.0133
Zhang, N., Quiring, S. M., Ochsner, T. and T. W. Ford (2017) Comparison of Three Methods for Vertical Extrapolation of Soil Moisture in Oklahoma. Vadose Zone, 16(10): doi:10.2136/vzj2017.04.0085
Zhu, L. and S. M. Quiring (2017) Developing a new extraction method for long-term tropical cyclone precipitation from daily rain gauges. Journal of Hydrometeorology, 18: 2559–2576. https://doi.org/10.1175/JHM-D-16-0291.1
Krueger, E. S., Ochsner, T. E., Quiring, S. M., Engle, D. M., Carlson, J.D., Twidwell, D. and S. D. Fuhlendorf (2017) Measured soil moisture is a better predictor of large growing-season wildfires than Keetch-Byram Drought Index. Soil Science Society of America Journal, 81: 490–502. doi:10.2136/sssaj2017.01.0003
Yuan, S. and S. M. Quiring (2017) Evaluation of soil moisture in CMIP5 simulations over contiguous United States using in situ and satellite observations. Hydrology and Earth System Science, 21: 2203–2218. doi:10.5194/hess-21-2203-2017
Tian, L., Leasor, Z. and S. M. Quiring (2017) Potential to improve precipitation forecasts in Texas through incorporation of multiple teleconnections. International Journal of Climatology, 37: 3863–3872. doi:10.1002/joc.4960
Yuan, S. and S. M. Quiring (2017) Comparison of three methods of interpolating soil moisture in Oklahoma. International Journal of Climatology, 37: 987–997. DOI: 10.1002/joc.4754
Teale, N. G., Quiring, S. M. and T. W. Ford (2017) Association of synoptic-scale atmospheric patterns with flash flooding in watersheds of the New York City water supply system. International Journal of Climatology, 37: 358–370. DOI: 10.1002/joc.4709
Ford, T. W., Quiring, S. M. and O. Frauenfeld (2017) Multi-decadal variability of soil moisture-temperature coupling over the contiguous United States modulated by Pacific and Atlantic sea surface temperatures. International Journal of Climatology, 37: 1400–1415. DOI: 10.1002/joc.4785
2016
Ford, T. W., Wang, Q. and S. M. Quiring (2016) The observation record length necessary to generate robust soil moisture percentiles. Journal of Applied Meteorology and Climatology, 55: 2131-2149. DOI:10.1175/JAMC-D-16-0143.1
Yuan, S., Quiring, S. M., and S. Patil (2016) Spatial and temporal variations in the accuracy of meteorological drought indices. Cuadernos de Investigación Geográfica, 42: 167-183. DOI: 10.18172/cig.2916
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
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
Tonn, G., Guikema, S., Ferreira, C. and S. M. Quiring (2016) A longitudinal analysis of the drivers of power outages during hurricanes: A case study with Hurricane Isaac. Risk Analysis, 36: 1936-1947. DOI: 10.1111/risa.12552