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2020 | 2019 | 2018 | 2017 | 2016

 

2020


Anderson, G. B., Ferreria, J., Al-Hamdan, M., Crosson, W., Schumacher, A., Guikema, S., Quiring, S., Eddelbuette, D., Yana, M. and R. D. Peng (2020) Assessing United States county-level exposure for research on tropical cyclones and human health. Environmental Health Perspectives128 (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 Hydrometeorology21 (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 Research56: 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 Hydrology588: 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 Climatology59: 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 Systems117: 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 Reviews201: 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. Energy119: 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 Management25: 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 Systems34: 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. Anthropocene25: 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: 3365–3378https://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 Journal111: 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 Research77: 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 Meteorology264: 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 Access6: 62432-62449DOI: 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 Zone16(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 Journal81: 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 Climatology37: 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