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Balaguru, K., Chang, C., Leung, L. R., Foltz, G. R., Hagos, S. M., Wehner, M. F., Kossin, J. P., Ting, M., & Xu, W. (2024). A Global Increase in Nearshore Tropical Cyclone Intensification. Earth’s Future, 12(5). Portico. https://doi.org/10.1029/2023ef004230
Bercos‐Hickey, E., & Patricola, C. M. (2024). African Easterly Wave Strength and Observed Atlantic Tropical Cyclone Genesis and Characteristics. Journal of Geophysical Research: Atmospheres, 129(10). Portico. https://doi.org/10.1029/2024jd040858
Bercos‐Hickey, E., & Patricola, C. M. (2024). Characteristics and trends of Atlantic tropical cyclones that do and do not develop from African easterly waves. Quarterly Journal of the Royal Meteorological Society. Portico. https://doi.org/10.1002/qj.4850
Duan, S., Ullrich, P., Risser, M., & Rhoades, A. (2024). Using Temporal Deep Learning Models to Estimate Daily Snow Water Equivalent Over the Rocky Mountains. Water Resources Research, 60(4). Portico. https://doi.org/10.1029/2023wr035009
Easterling, D. R., Kunkel, K. E., Crimmins, A. R., & Wehner, M. F. (2024). Long-term planning requires climate projections beyond 2100. Nature Climate Change. https://doi.org/10.1038/s41558-024-02085-0
Li, X., Mann, M. E., Wehner, M. F., Rahmstorf, S., Petri, S., Christiansen, S., & Carrillo, J. (2024). Role of atmospheric resonance and land–atmosphere feedbacks as a precursor to the June 2021 Pacific Northwest Heat Dome event. Proceedings of the National Academy of Sciences, 121(4). https://doi.org/10.1073/pnas.2315330121
Mahesh, A., O’Brien, T. A., Loring, B., Elbashandy, A., Boos, W., & Collins, W. D. (2024). Identifying atmospheric rivers and their poleward latent heat transport with generalizable neural networks: ARCNNv1. Geoscientific Model Development, 17(8), 3533–3557. https://doi.org/10.5194/gmd-17-3533-2024
Mueller, T. J., Patricola, C. M., & Bercos-Hickey, E. (2024). The Influence of ENSO Diversity on Future Atlantic Tropical Cyclone Activity. Journal of Climate. https://doi.org/10.1175/jcli-d-23-0286.1
National Academies of Sciences, Engineering, and Medicine. (2024). Modernizing Probable Maximum Precipitation Estimation. Washington, DC: The National Academies Press. https://doi.org/10.17226/27460.
Negron-Juarez, R., Wehner, M., Silva Dias, M. A. F., Ullrich, P., Chambers, J. Q., & Riley, W. J. (2024). Coupled model intercomparison project phase 6 (CMIP6) high resolution model intercomparison project (HighResMIP) bias in extreme rainfall drives underestimation of amazonian precipitation. Environmental Research Communications, 6(9), 091001. https://doi.org/10.1088/2515-7620/ad6ff9
Nellikkattil, A. B., Lemmon, D., O’Brien, T. A., Lee, J.-Y., & Chu, J.-E. (2024). Scalable Feature Extraction and Tracking (SCAFET): a general framework for feature extraction from large climate data sets. Geoscientific Model Development, 17(1), 301–320. https://doi.org/10.5194/gmd-17-301-2024
Noack, M. M., Luo, H., & Risser, M. D. (2024). A unifying perspective on non-stationary kernels for deeper Gaussian processes. APL Machine Learning, 2(1). https://doi.org/10.1063/5.0176963
O’Brien, T. A., Loring, B., Dufek, A. S., Islam, M. R., Kamnani, D., Quagraine, K. T., & Kirkpatrick, C. (2024). Atmospheric Rivers in the Eastern and Midwestern United States Associated With Baroclinic Waves. Geophysical Research Letters, 51(8). Portico. https://doi.org/10.1029/2023gl107236
Paciorek, C. J., & Wehner, M. F. (2024). Comment on “Five Decades of Observed Daily Precipitation Reveal Longer and More Variable Drought Events Across Much of the Western United States.” Geophysical Research Letters, 51(1). Portico. https://doi.org/10.1029/2023gl104550
Patricola, C. M., Hansen, G. E., & Sena, A. C. T. (2024). The Influence of Climate Variability and Future Climate Change on Atlantic Hurricane Season Length. Geophysical Research Letters, 51(8). Portico. https://doi.org/10.1029/2023gl107881
Rhoades, A. M., Zarzycki, C. M., Hatchett, B. J., Inda-Diaz, H., Rudisill, W., Bass, B., Dennis, E., Heggli, A., McCrary, R., McGinnis, S., Ombadi, M., Rahimi-Esfarjani, S., Slinskey, E., Srivastava, A., Szinai, J., Ullrich, P. A., Wehner, M., Yates, D., & Jones, A. D. (2024). Anticipating how rain-on-snow events will change through the 21st century: lessons from the 1997 new year’s flood event. Climate Dynamics. https://doi.org/10.1007/s00382-024-07351-7
Risser, M. D., Collins, W. D., Wehner, M. F., O’Brien, T. A., Huang, H., & Ullrich, P. A. (2024). Anthropogenic aerosols mask increases in US rainfall by greenhouse gases. Nature Communications, 15(1). https://doi.org/10.1038/s41467-024-45504-8
Rudisill, W. J., Flores, A. N., Marshall, H. P., Siirila-Woodburn, E., Feldman, D. R., Rhoades, A. M., Xu, Z., & Morales, A. (2024). Cold-Season Precipitation Sensitivity to Microphysical Parameterizations: Hydrologic Evaluations Leveraging Snow Lidar Datasets. Journal of Hydrometeorology, 25(1), 143–160. https://doi.org/10.1175/jhm-d-22-0217.1
Rudisill, W., Rhoades, A., Xu, Z., & Feldman, D. R. (2024). Are atmospheric models too cold in the mountains? The state of science and insights from the SAIL field campaign. Bulletin of the American Meteorological Society. https://doi.org/10.1175/bams-d-23-0082.1
Sena, A. C. T., Patricola, C. M., Camargo, S. J., & Sobel, A. H. (2024). The atmospheric effect of aerosols on future tropical cyclone frequency and precipitation in the Energy Exascale Earth System Model. Climate Dynamics. https://doi.org/10.1007/s00382-024-07359-z
Srivastava, A. K., Wehner, M., Bonfils, C., Ullrich, P. A., & Risser, M. (2024). Local hydroclimate drives differential warming rates between regular summer days and extreme hot days in the Northern Hemisphere. Weather and Climate Extremes, 100709. https://doi.org/10.1016/j.wace.2024.100709
Wehner, M. F., & Kossin, J. P. (2024). The growing inadequacy of an open-ended Saffir–Simpson hurricane wind scale in a warming world. Proceedings of the National Academy of Sciences, 121(7). https://doi.org/10.1073/pnas.2308901121
Wehner, M. F., Duffy, M. L., Risser, M., Paciorek, C. J., Stone, D. A., & Pall, P. (2024). On the uncertainty of long-period return values of extreme daily precipitation. Frontiers in Climate, 6. https://doi.org/10.3389/fclim.2024.1343072
Zeng, X., Alves, L., Boucher, M.-A., Cherchi, A., DeMott, C., Dimri, A. P., Gettelman, A., Hanna, E., Horinouchi, T., Huang, J., Lennard, C., Leung, L. R., Luo, Y., Thamban, M., Palanisamy, H., Pryor, S. C., Saint-Lu, M., Sobolowski, S. P., Stammer, D., … Zuidema, P. (2024). Global Precipitation Experiment - A New World Climate Research Programme Lighthouse Activity. Bulletin of the American Meteorological Society. https://doi.org/10.1175/bams-d-23-0242.1
Zhang, L., & Shaby, B. A. (2024). Reference Priors for the Generalized Extreme Value Distribution. Statistica Sinica. https://doi.org/10.5705/ss.202021.0258
Zhang, L., & Shaby, B. A. (2024). Reference Priors for the Generalized Extreme Value Distribution. Statistica Sinica. https://doi.org/10.5705/ss.202021.0258
Zhang, L., Risser, M. D., Wehner, M. F., & O’Brien, T. A. (2024). Leveraging Extremal Dependence to Better Characterize the 2021 Pacific Northwest Heatwave. Journal of Agricultural, Biological and Environmental Statistics. https://doi.org/10.1007/s13253-024-00636-8
Zhang, Y., Boos, W. R., Held, I., Paciorek, C. J., & Fueglistaler, S. (2024). Forecasting Tropical Annual Maximum Wet‐Bulb Temperatures Months in Advance From the Current State of ENSO. Geophysical Research Letters, 51(7). Portico. https://doi.org/10.1029/2023gl106990
Zhou, Y., Wehner, M., & Collins, W. (2024). Back-to-back high category atmospheric river landfalls occur more often on the west coast of the United States. Communications Earth & Environment, 5(1). https://doi.org/10.1038/s43247-024-01368-w
Bercos‐Hickey, E., & Patricola, C. M. (2023). The Effects of African Easterly Wave Suppression by Wave Track on Atlantic Tropical Cyclones. Geophysical Research Letters, 50(23). Portico. https://doi.org/10.1029/2023gl105491
Bercos‐Hickey, E., Patricola, C. M., Loring, B., & Collins, W. D. (2023). The Relationship Between African Easterly Waves and Tropical Cyclones in Historical and Future Climates in the HighResMIP‐PRIMAVERA Simulations. Journal of Geophysical Research: Atmospheres, 128(7). Portico. https://doi.org/10.1029/2022jd037471
Chand, S. S., Walsh, K. J. E., Camargo, S. J., Kossin, J. P., Tory, K. J., Wehner, M. F., Chan, J. C. L., Klotzbach, P. J., Dowdy, A. J., Bell, S. S., Ramsay, H. A., & Murakami, H. (2023). Reply to: Limitations of reanalyses for detecting tropical cyclone trends. Nature Climate Change, 14(2), 146–147. https://doi.org/10.1038/s41558-023-01880-5
Chapter 3 : Earth Systems Processes. Fifth National Climate Assessment. (2023). U.S. Global Change Research Program. https://doi.org/10.7930/nca5.2023.ch3
Climate Change Information for Regional Impact and for Risk Assessment. (2023). Climate Change 2021 – The Physical Science Basis, 1767–1926. https://doi.org/10.1017/9781009157896.014
Erickson, N. E., & Patricola, C. M. (2023). Future Projections of the El Niño—Southern Oscillation and Tropical Pacific Mean State in CMIP6. Journal of Geophysical Research: Atmospheres, 128(21). Portico. https://doi.org/10.1029/2022jd037563
Focus on i : Focus on Compound Events. Fifth National Climate Assessment. (2023). U.S. Global Change Research Program. https://doi.org/10.7930/nca5.2023.f1
Harrop, B. E., Balaguru, K., Golaz, J., Leung, L. R., Mahajan, S., Rhoades, A. M., Ullrich, P. A., Zhang, C., Zheng, X., Zhou, T., Caldwell, P. M., Keen, N. D., & Mametjanov, A. (2023). Evaluating the Water Cycle Over CONUS at the Watershed Scale for the Energy Exascale Earth System Model Version 1 (E3SMv1) Across Resolutions. Journal of Advances in Modeling Earth Systems, 15(11). Portico. https://doi.org/10.1029/2022ms003490
Hatchett, B. J., Koshkin, A. L., Guirguis, K., Rittger, K., Nolin, A. W., Heggli, A., Rhoades, A. M., East, A. E., Siirila‐Woodburn, E. R., Brandt, W. T., Gershunov, A., & Haleakala, K. (2023). Midwinter Dry Spells Amplify Post‐Fire Snowpack Decline. Geophysical Research Letters, 50(3). Portico. https://doi.org/10.1029/2022gl101235
Huang, H., Collins, W. D., Patricola, C. M., Ruprich‐Robert, Y., Ullrich, P. A., & Baker, A. J. (2023). Contrasting Responses of Atlantic and Pacific Tropical Cyclone Activity to Atlantic Multidecadal Variability. Geophysical Research Letters, 50(10). Portico. https://doi.org/10.1029/2023gl102959
Lee, C., Sobel, A. H., Tippett, M. K., Camargo, S. J., Wüest, M., Wehner, M., & Murakami, H. (2023). Climate Change Signal in Atlantic Tropical Cyclones Today and Near Future. Earth’s Future, 11(11). Portico. https://doi.org/10.1029/2023ef003539
Mahesh, A., O’Brien, T., Loring, B., Elbashandy, A., Boos, W., & Collins, W. (2023). Identifying Atmospheric Rivers and their Poleward Latent Heat Transport with Generalizable Neural Networks: ARCNNv1. https://doi.org/10.5194/egusphere-2023-763
Massoud, E. C., Lee, H. K., Terando, A., & Wehner, M. (2023). Bayesian weighting of climate models based on climate sensitivity. Communications Earth & Environment, 4(1). https://doi.org/10.1038/s43247-023-01009-8
Molina, M. J., O’Brien, T. A., Anderson, G., Ashfaq, M., Bennett, K. E., Collins, W. D., Dagon, K., Restrepo, J. M., & Ullrich, P. A. (2023). A Review of Recent and Emerging Machine Learning Applications for Climate Variability and Weather Phenomena. Artificial Intelligence for the Earth Systems, 2(4). https://doi.org/10.1175/aies-d-22-0086.1
Noack, M. M., Krishnan, H., Risser, M. D., & Reyes, K. G. (2023). Exact Gaussian processes for massive datasets via non-stationary sparsity-discovering kernels. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-30062-8
Noy, I., Wehner, M., Stone, D., Rosier, S., Frame, D., Lawal, K. A., & Newman, R. (2023). Event attribution is ready to inform loss and damage negotiations. Nature Climate Change, 13(12), 1279–1281. https://doi.org/10.1038/s41558-023-01865-4
Ombadi, M., Risser, M. D., Rhoades, A. M., & Varadharajan, C. (2023). A warming-induced reduction in snow fraction amplifies rainfall extremes. Nature, 619(7969), 305–310. https://doi.org/10.1038/s41586-023-06092-7
Paçal, A., Hassler, B., Weigel, K., Kurnaz, M. L., Wehner, M. F., & Eyring, V. (2023). Detecting Extreme Temperature Events Using Gaussian Mixture Models. Journal of Geophysical Research: Atmospheres, 128(18). Portico. https://doi.org/10.1029/2023jd038906
Pokharel, B., Sharma, S., Stuivenvolt-Allen, J., Wang, S.-Y. S., LaPlante, M., Gillies, R. R., Khanal, S., Wehner, M., Rhoades, A., Hamal, K., Hatchett, B., Liu, W.-Y., Mukherjee, S., & Aryal, D. (2023). Amplified drought trends in Nepal increase the potential for Himalayan wildfires. Climatic Change, 176(2). https://doi.org/10.1007/s10584-023-03495-3
Reed, K. A., & Wehner, M. F. (2023). Real-time attribution of the influence of climate change on extreme weather events: a storyline case study of Hurricane Ian rainfall. Environmental Research: Climate, 2(4), 043001. https://doi.org/10.1088/2752-5295/acfd4e
Rhoades, A. M., Zarzycki, C. M., Inda‐Diaz, H. A., Ombadi, M., Pasquier, U., Srivastava, A., Hatchett, B. J., Dennis, E., Heggli, A., McCrary, R., McGinnis, S., Rahimi‐Esfarjani, S., Slinskey, E., Ullrich, P. A., Wehner, M., & Jones, A. D. (2023). Recreating the California New Year’s Flood Event of 1997 in a Regionally Refined Earth System Model. Journal of Advances in Modeling Earth Systems, 15(10). Portico. https://doi.org/10.1029/2023ms003793
Short-lived Climate Forcers. (2023). Climate Change 2021 – The Physical Science Basis, 817–922. https://doi.org/10.1017/9781009157896.008
Siirila‐Woodburn, E. R., Dennedy‐Frank, P. J., Rhoades, A., Vahmani, P., Maina, F., Hatchett, B., Zhou, Y., & Jones, A. (2023). The Role of Atmospheric Rivers on Groundwater: Lessons Learned From an Extreme Wet Year. Water Resources Research, 59(6). Portico. https://doi.org/10.1029/2022wr033061
Tebaldi, C., Wehner, M., Leung, R., & Lawrence, D. (2023). Is land use producing robust signals in future projections from Earth system models, all else being equal?? Environmental Research Letters, 18(8), 084009. https://doi.org/10.1088/1748-9326/ace3da
Technical Summary. (2023). Climate Change 2021 – The Physical Science Basis, 35–144. https://doi.org/10.1017/9781009157896.002
Vishnu, S., Boos, W. R., & Collins, W. D. (2023). Historical and future trends in South Asian monsoon low pressure systems in a high-resolution model ensemble. Npj Climate and Atmospheric Science, 6(1). https://doi.org/10.1038/s41612-023-00502-3
Vishnu, S., Risser, M. D., O’Brien, T. A., Ullrich, P. A., & Boos, W. R. (2023). Observed increase in the peak rain rates of monsoon depressions. Npj Climate and Atmospheric Science, 6(1). https://doi.org/10.1038/s41612-023-00436-w
Weather and Climate Extreme Events in a Changing Climate. (2023). Climate Change 2021 – The Physical Science Basis, 1513–1766. https://doi.org/10.1017/9781009157896.013
Wehner, M. (2023). Connecting extreme weather events to climate change. Physics Today, 76(9), 40–46. https://doi.org/10.1063/pt.3.5309
Bercos‐Hickey, E., O’Brien, T. A., Wehner, M. F., Zhang, L., Patricola, C. M., Huang, H., & Risser, M. D. (2022). Anthropogenic Contributions to the 2021 Pacific Northwest Heatwave. Geophysical Research Letters, 49(23). Portico. https://doi.org/10.1029/2022gl099396
Chand, S. S., Walsh, K. J. E., Camargo, S. J., Kossin, J. P., Tory, K. J., Wehner, M. F., Chan, J. C. L., Klotzbach, P. J., Dowdy, A. J., Bell, S. S., Ramsay, H. A., & Murakami, H. (2022). Declining tropical cyclone frequency under global warming. Nature Climate Change, 12(7), 655–661. https://doi.org/10.1038/s41558-022-01388-4
Collow, A. B. M., Shields, C. A., Guan, B., Kim, S., Lora, J. M., McClenny, E. E., Nardi, K., Payne, A., Reid, K., Shearer, E. J., Tomé, R., Wille, J. D., Ramos, A. M., Gorodetskaya, I. V., Leung, L. R., O’Brien, T. A., Ralph, F. M., Rutz, J., Ullrich, P. A., & Wehner, M. (2022). An Overview of ARTMIP’s Tier 2 Reanalysis Intercomparison: Uncertainty in the Detection of Atmospheric Rivers and Their Associated Precipitation. Journal of Geophysical Research: Atmospheres, 127(8). Portico. https://doi.org/10.1029/2021jd036155
Danso, D. K., Patricola, C. M., & Bercos‐Hickey, E. (2022). Influence of African Easterly Wave Suppression on Atlantic Tropical Cyclone Activity in a Convection‐Permitting Model. Geophysical Research Letters, 49(22). Portico. https://doi.org/10.1029/2022gl100590
Hatchett, B. J., Rhoades, A. M., & McEvoy, D. J. (2022). Decline in Seasonal Snow during a Projected 20-Year Dry Spell. Hydrology, 9(9), 155. https://doi.org/10.3390/hydrology9090155
Huff, J. J. A., Reed, K. A., Bacmeister, J. T., & Wehner, M. F. (2022). Evaluating the Influence of CAM5 Aerosol Configuration on Simulated Tropical Cyclones in the North Atlantic. Climate, 10(9), 130. https://doi.org/10.3390/cli10090130
Klotzbach, P. J., Wood, K. M., Schreck, C. J., Bowen, S. G., Patricola, C. M., & Bell, M. M. (2022). Trends in Global Tropical Cyclone Activity: 1990–2021. Geophysical Research Letters, 49(6). Portico. https://doi.org/10.1029/2021gl095774
Klotzbach, P. J., Wood, K. M., Schreck, C. J., Bowen, S. G., Patricola, C. M., & Bell, M. M. (2022). Trends in Global Tropical Cyclone Activity: 1990–2021. Geophysical Research Letters, 49(6). Portico. https://doi.org/10.1029/2021gl095774
Leung, L. R., Boos, W. R., Catto, J. L., A. DeMott, C., Martin, G. M., Neelin, J. D., O’Brien, T. A., Xie, S., Feng, Z., Klingaman, N. P., Kuo, Y.-H., Lee, R. W., Martinez-Villalobos, C., Vishnu, S., Priestley, M. D. K., Tao, C., & Zhou, Y. (2022). Exploratory Precipitation Metrics: Spatiotemporal Characteristics, Process-Oriented, and Phenomena-Based. Journal of Climate, 35(12), 3659–3686. https://doi.org/10.1175/jcli-d-21-0590.1
Maina, F. Z., Rhoades, A., Siirila-Woodburn, E. R., & Dennedy-Frank, P.-J. (2022). Projecting end-of-century climate extremes and their impacts on the hydrology of a representative California watershed. Hydrology and Earth System Sciences, 26(13), 3589–3609. https://doi.org/10.5194/hess-26-3589-2022
Muller, C., Yang, D., Craig, G., Cronin, T., Fildier, B., Haerter, J. O., Hohenegger, C., Mapes, B., Randall, D., Shamekh, S., & Sherwood, S. C. (2022). Spontaneous Aggregation of Convective Storms. Annual Review of Fluid Mechanics, 54(1), 133–157. https://doi.org/10.1146/annurev-fluid-022421-011319
O’Brien, T. A., Wehner, M. F., Payne, A. E., Shields, C. A., Rutz, J. J., Leung, L. ‐R., Ralph, F. M., Collow, A., Gorodetskaya, I., Guan, B., Lora, J. M., McClenny, E., Nardi, K. M., Ramos, A. M., Tomé, R., Sarangi, C., Shearer, E. J., Ullrich, P. A., Zarzycki, C., Loring, B., Huang, H., Inda-Diaz, H. A., Rhoades, A. M., & Zhou, Y. (2022). Increases in Future AR Count and Size: Overview of the ARTMIP Tier 2 CMIP5/6 Experiment. Journal of Geophysical Research: Atmospheres, 127(6). Portico. https://doi.org/10.1029/2021jd036013
Ombadi, M., & Risser, M. D. (2022). What’s the temperature tomorrow? Increasing trends in extreme volatility of daily maximum temperature in Central and Eastern United States (1950–2019). Weather and Climate Extremes, 38, 100515. https://doi.org/10.1016/j.wace.2022.100515
Pasquier, U., Vahmani, P., & Jones, A. D. (2022). Quantifying the City-Scale Impacts of Impervious Surfaces on Groundwater Recharge Potential: An Urban Application of WRF–Hydro. Water, 14(19), 3143. https://doi.org/10.3390/w14193143
Patricola, C. M., Cassidy, D. J., & Klotzbach, P. J. (2022). Tropical Oceanic Influences on Observed Global Tropical Cyclone Frequency. Geophysical Research Letters, 49(13). Portico. https://doi.org/10.1029/2022gl099354
Patricola, C. M., Wehner, M. F., Bercos-Hickey, E., Maciel, F. V., May, C., Mak, M., Yip, O., Roche, A. M., & Leal, S. (2022). Future changes in extreme precipitation over the San Francisco Bay Area: Dependence on atmospheric river and extratropical cyclone events. Weather and Climate Extremes, 36, 100440. https://doi.org/10.1016/j.wace.2022.100440
Perkins-Kirkpatrick, S. E., Stone, D. A., Mitchell, D. M., Rosier, S., King, A. D., Lo, Y. T. E., Pastor-Paz, J., Frame, D., & Wehner, M. (2022). On the attribution of the impacts of extreme weather events to anthropogenic climate change. Environmental Research Letters, 17(2), 024009. https://doi.org/10.1088/1748-9326/ac44c8
Philip, S. Y., Kew, S. F., van Oldenborgh, G. J., Anslow, F. S., Seneviratne, S. I., Vautard, R., Coumou, D., Ebi, K. L., Arrighi, J., Singh, R., van Aalst, M., Pereira Marghidan, C., Wehner, M., Yang, W., Li, S., Schumacher, D. L., Hauser, M., Bonnet, R., Luu, L. N., Lehner, F., Gillet, N., Tradowsky, J. S., Vecchi, G. A., Rodell, C., Stull, R. B., Howard, R., & Otto, F. E. L. (2022). Rapid attribution analysis of the extraordinary heat wave on the Pacific coast of the US and Canada in June 2021. Earth System Dynamics, 13(4), 1689–1713. https://doi.org/10.5194/esd-13-1689-2022
Reed, K. A., Goldenson, N., Grotjahn, R., Gutowski, W. J., Jagannathan, K., Jones, A. D., Leung, L. R., McGinnis, S. A., Pryor, S. C., Srivastava, A. K., Ullrich, P. A., & Zarzycki, C. M. (2022). Metrics as tools for bridging climate science and applications. WIREs Climate Change, 13(6). Portico. https://doi.org/10.1002/wcc.799
Reed, K. A., Wehner, M. F., & Zarzycki, C. M. (2022). Attribution of 2020 hurricane season extreme rainfall to human-induced climate change. Nature Communications, 13(1). https://doi.org/10.1038/s41467-022-29379-1
Rhoades, A. M., Hatchett, B. J., Risser, M. D., Collins, W. D., Bambach, N. E., Huning, L. S., McCrary, R., Siirila-Woodburn, E. R., Ullrich, P. A., Wehner, M. F., Zarzycki, C. M., & Jones, A. D. (2022). Asymmetric emergence of low-to-no snow in the midlatitudes of the American Cordillera. Nature Climate Change, 12(12), 1151–1159. https://doi.org/10.1038/s41558-022-01518-y
Risser, M. D., Collins, W. D., Wehner, M. F., O’Brien, T. A., Paciorek, C. J., O’Brien, J. P., Patricola, C. M., Huang, H., Ullrich, P. A., & Loring, B. (2022). A framework for detection and attribution of regional precipitation change: Application to the United States historical record. Climate Dynamics, 60(3–4), 705–741. https://doi.org/10.1007/s00382-022-06321-1
Sena, A. C. T., Patricola, C. M., & Loring, B. (2022). Future Changes in Active and Inactive Atlantic Hurricane Seasons in the Energy Exascale Earth System Model. Geophysical Research Letters, 49(21). Portico. https://doi.org/10.1029/2022gl100267
Smiley, K. T., Noy, I., Wehner, M. F., Frame, D., Sampson, C. C., & Wing, O. E. J. (2022). Social inequalities in climate change-attributed impacts of Hurricane Harvey. Nature Communications, 13(1). https://doi.org/10.1038/s41467-022-31056-2
Stone, D. A., Lawal, K. A., Lennard, C., Tadross, M., Wolski, P., & Wehner, M. F. (2022). The Life and Times of the Weather Risk Attribution Forecast. Bulletin of the American Meteorological Society, 103(3), S1–S6. https://doi.org/10.1175/bams-d-21-0263.1
Tebaldi, C., Snyder, A., & Dorheim, K. (2022). STITCHES: creating new scenarios of climate model output by stitching together pieces of existing simulations. https://doi.org/10.5194/esd-2022-14
Van Oldenborgh, G. J., Wehner, M. F., Vautard, R., Otto, F. E. L., Seneviratne, S. I., Stott, P. A., Hegerl, G. C., Philip, S. Y., & Kew, S. F. (2022). Attributing and Projecting Heatwaves Is Hard: We Can Do Better. Earth’s Future, 10(6). Portico. https://doi.org/10.1029/2021ef002271
Wehner, M. F., & Reed, K. A. (2022). Operational extreme weather event attribution can quantify climate change loss and damages. PLOS Climate, 1(2), e0000013. https://doi.org/10.1371/journal.pclm.0000013
Yao, L., Yang, D., & Tan, Z.-M. (2022). A Vertically Resolved MSE Framework Highlights the Role of the Boundary Layer in Convective Self-Aggregation. Journal of the Atmospheric Sciences, 79(6), 1615–1631. https://doi.org/10.1175/jas-d-20-0254.1
Zhang, L., Risser, M. D., Molter, E. M., Wehner, M., & O’Brien, T. A. (2022). Accounting for the Spatial Structure of Weather Systems in Detected Changes in Precipitation Extremes. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4048960
Zhou, Y., O’Brien, T. A., Collins, W. D., Shields, C. A., Loring, B., & Elbashandy, A. A. (2022). Characteristics and Variability of Winter Northern Pacific Atmospheric River Flavors. Journal of Geophysical Research: Atmospheres, 127(23). Portico. https://doi.org/10.1029/2022jd037105
Bambach, N. E., Rhoades, A. M., Hatchett, B. J., Jones, A. D., Ullrich, P. A., & Zarzycki, C. M. (2021). Projecting climate change in South America using variable‐resolution Community Earth System Model: An application to Chile. International Journal of Climatology, 42(4), 2514–2542. Portico. https://doi.org/10.1002/joc.7379
Bercos-Hickey, E., & Patricola, C. M. (2021). Anthropogenic influences on the African easterly jet–African easterly wave system. Climate Dynamics, 57(9–10), 2779–2792. https://doi.org/10.1007/s00382-021-05838-1
Chang, C.-P., Ha, K.-J., Johnson, R. H., Kim, D., Lau, G. N. C., & Wang, B. (2021). The Multiscale Global Monsoon System. In World Scientific Series on Asia-Pacific Weather and Climate. WORLD SCIENTIFIC. https://doi.org/10.1142/11723
Charn, A. B., & Parishani, H. (2021). Predictive Proxies of Present and Future Lightning in a Superparameterized Model. Journal of Geophysical Research: Atmospheres, 126(17). Portico. https://doi.org/10.1029/2021jd035461
Charn, A. B., Collins, W. D., Parishani, H., & Risser, M. D. (2021). Global Microphysical Sensitivity of Superparameterized Precipitation Extremes. Earth and Space Science, 8(5). Portico. https://doi.org/10.1029/2020ea001308
Fildier, B., Collins, W. D., & Muller, C. (2021). Distortions of the Rain Distribution With Warming, With and Without Self‐Aggregation. Journal of Advances in Modeling Earth Systems, 13(2). Portico. https://doi.org/10.1029/2020ms002256
HagosP, S., LeungP, L. R., Garuba, O., & Patricola, C. M. (2021). Influence of Background Divergent Moisture Flux on the Frequency of North Pacific Atmospheric Rivers. Journal of Climate, 1–33. https://doi.org/10.1175/jcli-d-21-0058.1
Hatchett, B. J., Rhoades, A. M., & McEvoy, D. J. (2021). Monitoring the Daily Evolution and Extent of Snow Drought. https://doi.org/10.5194/nhess-2021-193
Huang, H., Patricola, C. M., & Collins, W. D. (2021). The Influence of Ocean Coupling on Simulated and Projected Tropical Cyclone Precipitation in the HighResMIP–PRIMAVERA Simulations. Geophysical Research Letters, 48(20). Portico. https://doi.org/10.1029/2021gl094801
Huang, H., Patricola, C. M., Bercos‐Hickey, E., Zhou, Y., Rhoades, A., Risser, M. D., & Collins, W. D. (2021). Sources of Subseasonal‐To‐Seasonal Predictability of Atmospheric Rivers and Precipitation in the Western United States. Journal of Geophysical Research: Atmospheres, 126(6). Portico. https://doi.org/10.1029/2020jd034053
Huang, H., Patricola, C. M., Bercos‐Hickey, E., Zhou, Y., Rhoades, A., Risser, M. D., & Collins, W. D. (2021). Sources of Subseasonal‐To‐Seasonal Predictability of Atmospheric Rivers and Precipitation in the Western United States. Journal of Geophysical Research: Atmospheres, 126(6). Portico. https://doi.org/10.1029/2020jd034053
Huang, H., Patricola, C. M., Winter, J. M., Osterberg, E. C., & Mankin, J. S. (2021). Rise in Northeast US extreme precipitation caused by Atlantic variability and climate change. Weather and Climate Extremes, 33, 100351. https://doi.org/10.1016/j.wace.2021.100351
Kashinath, K., Mudigonda, M., Kim, S., Kapp-Schwoerer, L., Graubner, A., Karaismailoglu, E., von Kleist, L., Kurth, T., Greiner, A., Mahesh, A., Yang, K., Lewis, C., Chen, J., Lou, A., Chandran, S., Toms, B., Chapman, W., Dagon, K., Shields, C. A., O'Brien, T., Wehner, M., and Collins, W. (2021). ClimateNet: an expert-labeled open dataset and deep learning architecture for enabling high-precision analyses of extreme weather. Geoscientific Model Development, 14(1), 107–124. https://doi.org/10.5194/gmd-14-107-2021
King, A. D., Perkins‐Kirkpatrick, S. E., Wehner, M. F., & Lewis, S. C. (2021). Reply to Comment by Mandel et al. on “Numerically Bounded Linguistic Probability Schemes Are Unlikely to Communicate Uncertainty Effectively.” Earth’s Future, 9(1). Portico. https://doi.org/10.1029/2020ef001757
Kurian, J., Li, P., Chang, P., Patricola, C. M., & Small, J. (2021). Impact of the Benguela coastal low-level jet on the southeast tropical Atlantic SST bias in a regional ocean model. Climate Dynamics, 56(9–10), 2773–2800. https://doi.org/10.1007/s00382-020-05616-5
Li, C., Zwiers, F., Zhang, X., Li, G., Sun, Y., & Wehner, M. (2021). Changes in Annual Extremes of Daily Temperature and Precipitation in CMIP6 Models. Journal of Climate, 34(9), 3441–3460. https://doi.org/10.1175/jcli-d-19-1013.1
Lin, I.-I., Rogers, R. F., Huang, H.-C., Liao, Y.-C., Herndon, D., Yu, J.-Y., Chang, Y.-T., Zhang, J. A., Patricola, C. M., Pun, I.-F., & Lien, C.-C. (2021). A Tale of Two Rapidly Intensifying Supertyphoons: Hagibis (2019) and Haiyan (2013). Bulletin of the American Meteorological Society, 102(9), E1645–E1664. https://doi.org/10.1175/bams-d-20-0223.1
Liu, X., Ma, X., Chang, P., Jia, Y., Fu, D., Xu, G., Wu, L., Saravanan, R., & Patricola, C. M. (2021). Ocean fronts and eddies force atmospheric rivers and heavy precipitation in western North America. Nature Communications, 12(1). https://doi.org/10.1038/s41467-021-21504-w
Mudigonda, M., Ram, P., Kashinath, K., Racah, E., Mahesh, A., Liu, Y., Beckham, C., Biard, J., Kurth, T., Kim, S., Kahou, S., Maharaj, T., Loring, B., Pal, C., O’Brien, T., Kunkel, K. E., Wehner, M. F., & Collins, W. D. (2021). Deep Learning for Detecting Extreme Weather Patterns. Deep Learning for the Earth Sciences, 161–185. Portico. https://doi.org/10.1002/9781119646181.ch12
Reed, K., Wehner, M. F., Stansfield, A. M., & Zarzycki, C. M. (2021). Anthropogenic Influence on Hurricane Dorian’s Extreme Rainfall. Bulletin of the American Meteorological Society, 102(1), S9–S15. https://doi.org/10.1175/bams-d-20-0160.1
Reid, K. J., O’Brien, T. A., King, A. D., & Lane, T. P. (2021). Extreme Water Vapor Transport During the March 2021 Sydney Floods in the Context of Climate Projections. Geophysical Research Letters, 48(22). Portico. https://doi.org/10.1029/2021gl095335
Rhoades, A. M., Risser, M. D., Stone, D. A., Wehner, M. F., & Jones, A. D. (2021). Implications of warming on western United States landfalling atmospheric rivers and their flood damages. Weather and Climate Extremes, 32, 100326. https://doi.org/10.1016/j.wace.2021.100326
Risser, M. D., Wehner, M. F., O’Brien, J. P., Patricola, C. M., O’Brien, T. A., Collins, W. D., Paciorek, C. J., & Huang, H. (2021). Quantifying the influence of natural climate variability on in situ measurements of seasonal total and extreme daily precipitation. Climate Dynamics, 56(9–10), 3205–3230. https://doi.org/10.1007/s00382-021-05638-7
Siirila-Woodburn, E. R., Rhoades, A. M., Hatchett, B. J., Huning, L. S., Szinai, J., Tague, C., Nico, P. S., Feldman, D. R., Jones, A. D., Collins, W. D., & Kaatz, L. (2021). A low-to-no snow future and its impacts on water resources in the western United States. Nature Reviews Earth & Environment, 2(11), 800–819. https://doi.org/10.1038/s43017-021-00219-y
Sobel, A. H., Wing, A. A., Camargo, S. J., Patricola, C. M., Vecchi, G. A., Lee, C., & Tippett, M. K. (2021). Tropical Cyclone Frequency. Earth’s Future, 9(12). Portico. https://doi.org/10.1029/2021ef002275
Spontaneous Cyclogenesis without Radiative and Surface-Flux Feedbacks. (2021). Journal of the Atmospheric Sciences, 78(12), 4169–4184. https://doi.org/10.1175/jas-d-21-0098.1
Srivastava, A. K., Grotjahn, R., Ullrich, P. A., & Zarzycki, C. (2021). Evaluation of precipitation indices in suites of dynamically and statistically downscaled regional climate models over Florida. Climate Dynamics, 58(5–6), 1587–1611. https://doi.org/10.1007/s00382-021-05980-w
Tabor, C., Lofverstrom, M., Oster, J., Wortham, B., de Wet, C., Montañez, I., Rhoades, A., Zarzycki, C., He, C., & Liu, Z. (2021). A mechanistic understanding of oxygen isotopic changes in the Western United States at the Last Glacial Maximum. Quaternary Science Reviews, 274, 107255. https://doi.org/10.1016/j.quascirev.2021.107255
Tebaldi, C., Dorheim, K., Wehner, M., & Leung, R. (2021). Extreme metrics from large ensembles: investigating the effects of ensemble size on their estimates. Earth System Dynamics, 12(4), 1427–1501. https://doi.org/10.5194/esd-12-1427-2021
Wehner, M. (2021). Simulated Changes in Tropical Cyclone Size, Accumulated Cyclone Energy and Power Dissipation Index in a Warmer Climate. Oceans, 2(4), 688–699. https://doi.org/10.3390/oceans2040039
Wehner, M., & Sampson, C. (2021). Attributable human-induced changes in the magnitude of flooding in the Houston, Texas region during Hurricane Harvey. Climatic Change, 166(1–2). https://doi.org/10.1007/s10584-021-03114-z
Wehner, M., Lee, J., Risser, M., Ullrich, P., Gleckler, P., & Collins, W. D. (2021). Evaluation of extreme sub-daily precipitation in high-resolution global climate model simulations. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 379(2195), 20190545. https://doi.org/10.1098/rsta.2019.0545
Xu, Z., Di Vittorio, A., Zhang, J., Rhoades, A., Xin, X., Xu, H., & Xiao, C. (2021). Evaluating Variable‐Resolution CESM Over China and Western United States for Use in Water‐Energy Nexus and Impacts Modeling. Journal of Geophysical Research: Atmospheres, 126(15). Portico. https://doi.org/10.1029/2020jd034361
Yang, D. (2021). A Shallow-Water Model for Convective Self-Aggregation. Journal of the Atmospheric Sciences, 78(2), 571–582. https://doi.org/10.1175/jas-d-20-0031.1
Yang, D., Adames, Á. F., Khouider, B., Wang, B., & Zhang, C. (2021). A Review of Contemporary MJO Theories. World Scientific Series on Asia-Pacific Weather and Climate, 233–247. https://doi.org/10.1142/9789811216602_0019
Zhang, L., & Shaby, B. A. (2021). Uniqueness and global optimality of the maximum likelihood estimator for the generalized extreme value distribution. Biometrika, 109(3), 853–864. https://doi.org/10.1093/biomet/asab043
Zhou, Y., Kim, H., & Waliser, D. E. (2021). Atmospheric River Lifecycle Responses to the Madden‐Julian Oscillation. Geophysical Research Letters, 48(3). Portico. https://doi.org/10.1029/2020gl090983
Zhou, Y., O’Brien, T. A., Ullrich, P. A., Collins, W. D., Patricola, C. M., & Rhoades, A. M. (2021). Uncertainties in Atmospheric River Lifecycles by Detection Algorithms: Climatology and Variability. Journal of Geophysical Research: Atmospheres, 126(8). Portico. https://doi.org/10.1029/2020jd033711
Balaguru, K., Patricola, C. M., Hagos, S. M., Leung, L. R., & Dong, L. (2020). Enhanced Predictability of Eastern North Pacific Tropical Cyclone Activity Using the ENSO Longitude Index. Geophysical Research Letters, 47(16). Portico. https://doi.org/10.1029/2020gl088849
Camargo, S. J., Giulivi, C. F., Sobel, A. H., Wing, A. A., Kim, D., Moon, Y., Strong, J. D. O., Del Genio, A. D., Kelley, M., Murakami, H., Reed, K. A., Scoccimarro, E., Vecchi, G. A., Wehner, M. F., Zarzycki, C., & Zhao, M. (2020). Characteristics of Model Tropical Cyclone Climatology and the Large-Scale Environment. Journal of Climate, 33(11), 4463–4487. https://doi.org/10.1175/jcli-d-19-0500.1
Charn, A. B., Collins, W. D., Parishani, H., Risser, M. D., & O’Brien, T. A. (2020). Microphysical Sensitivity of Superparameterized Precipitation Extremes in the Contiguous United States Due to Feedbacks on Large‐Scale Circulation. Earth and Space Science, 7(7). Portico. https://doi.org/10.1029/2019ea000731
Gutowski, W. J., Ullrich, P. A., Hall, A., Leung, L. R., O’Brien, T. A., Patricola, C. M., Arritt, R. W., Bukovsky, M. S., Calvin, K. V., Feng, Z., Jones, A. D., Kooperman, G. J., Monier, E., Pritchard, M. S., Pryor, S. C., Qian, Y., Rhoades, A. M., Roberts, A. F., Sakaguchi, K., Urban, N., & Zarzycki, C. (2020). The Ongoing Need for High-Resolution Regional Climate Models: Process Understanding and Stakeholder Information. Bulletin of the American Meteorological Society, 101(5), E664–E683. https://doi.org/10.1175/bams-d-19-0113.1
Haug, O., Thorarinsdottir, T. L., Sørbye, S. H., & Franzke, C. L. E. (2020). Spatial trend analysis of gridded temperature data at varying spatial scales. Advances in Statistical Climatology, Meteorology and Oceanography, 6(1), 1–12. https://doi.org/10.5194/ascmo-6-1-2020
Moon, Y., Kim, D., Camargo, S. J., Wing, A. A., Reed, K. A., Wehner, M. F., & Zhao, M. (2020). A New Method to Construct a Horizontal Resolution‐Dependent Wind Speed Adjustment Factor for Tropical Cyclones in Global Climate Model Simulations. Geophysical Research Letters, 47(11). Portico. https://doi.org/10.1029/2020gl087528
Moon, Y., Kim, D., Camargo, S. J., Wing, A. A., Sobel, A. H., Murakami, H., Reed, K. A., Scoccimarro, E., Vecchi, G. A., Wehner, M. F., Zarzycki, C. M., & Zhao, M. (2020). Azimuthally Averaged Wind and Thermodynamic Structures of Tropical Cyclones in Global Climate Models and Their Sensitivity to Horizontal Resolution. Journal of Climate, 33(4), 1575–1595. https://doi.org/10.1175/jcli-d-19-0172.1
O’Brien, T. A., Payne, A. E., Shields, C. A., Rutz, J., Brands, S., Castellano, C., Chen, J., Cleveland, W., DeFlorio, M. J., Goldenson, N., Gorodetskaya, I. V., Díaz, H. I., Kashinath, K., Kawzenuk, B., Kim, S., Krinitskiy, M., Lora, J. M., McClenny, B., Michaelis, A., O'Brien, J. P., Patricola, C. M., Ramos, A. M., Shearer, E. J., Tung, W.-W., Ullrich, P. A., Wehner, M. F., Yang, K., Zhang, R., Zhang, Z., & Zhou, Y. (2020). Detection Uncertainty Matters for Understanding Atmospheric Rivers. Bulletin of the American Meteorological Society, 101(6), E790–E796. https://doi.org/10.1175/bams-d-19-0348.1
O’Brien, T. A., Risser, M. D., Loring, B., Elbashandy, A. A., Krishnan, H., Johnson, J., Patricola, C. M., O’Brien, J. P., Mahesh, A., Arriaga Ramirez, S., Rhoades, A. M., Charn, A., Inda Díaz, H., & Collins, W. D. (2020). Detection of atmospheric rivers with inline uncertainty quantification: TECA-BARD v1.0.1. Geoscientific Model Development, 13(12), 6131–6148. https://doi.org/10.5194/gmd-13-6131-2020
Otto, F. E. L., Harrington, L. J., Frame, D., Boyd, E., Lauta, K. C., Wehner, M., Clarke, B., Raju, E., Boda, C., Hauser, M., James, R. A., & Jones, R. G. (2020). Toward an Inventory of the Impacts of Human-Induced Climate Change. Bulletin of the American Meteorological Society, 101(11), E1972–E1979. https://doi.org/10.1175/bams-d-20-0027.1
Ramírez-Reyes, A., & Yang, D. (2020). Spontaneous Cyclogenesis without Radiative and Surface-Flux Feedbacks. https://doi.org/10.31223/osf.io/8fshw
Reed, K. A., Stansfield, A. M., Wehner, M. F., & Zarzycki, C. M. (2020). Forecasted attribution of the human influence on Hurricane Florence. Science Advances, 6(1). https://doi.org/10.1126/sciadv.aaw9253
Rhoades, A. M., Jones, A. D., O’Brien, T. A., O’Brien, J. P., Ullrich, P. A., & Zarzycki, C. M. (2020). Influences of North Pacific Ocean Domain Extent on the Western U.S. Winter Hydroclimatology in Variable‐Resolution CESM. Journal of Geophysical Research: Atmospheres, 125(14). Portico. https://doi.org/10.1029/2019jd031977
Rhoades, A. M., Jones, A. D., Srivastava, A., Huang, H., O’Brien, T. A., Patricola, C. M., Ullrich, P. A., Wehner, M., & Zhou, Y. (2020). The Shifting Scales of Western U.S. Landfalling Atmospheric Rivers Under Climate Change. Geophysical Research Letters, 47(17). Portico. https://doi.org/10.1029/2020gl089096
Risser, M. D., & Turek, D. (2020). Bayesian inference for high-dimensional nonstationary Gaussian processes. Journal of Statistical Computation and Simulation, 90(16), 2902–2928. https://doi.org/10.1080/00949655.2020.1792472
Risser, M. D., & Wehner, M. F. (2020). The effect of geographic sampling on evaluation of extreme precipitation in high-resolution climate models. Advances in Statistical Climatology, Meteorology and Oceanography, 6(2), 115–139. https://doi.org/10.5194/ascmo-6-115-2020
Toms, B. A., Kashinath, K., & Yang, D. (2020). Testing the Reliability of Interpretable Neural Networks in Geoscience Using the Madden-Julian Oscillation. https://doi.org/10.5194/gmd-2020-152
Vautard, R., van Aalst, M., Boucher, O., Drouin, A., Haustein, K., Kreienkamp, F., van Oldenborgh, G. J., Otto, F. E. L., Ribes, A., Robin, Y., Schneider, M., Soubeyroux, J.-M., Stott, P., Seneviratne, S. I., Vogel, M. M., & Wehner, M. (2020). Human contribution to the record-breaking June and July 2019 heatwaves in Western Europe. Environmental Research Letters, 15(9), 094077. https://doi.org/10.1088/1748-9326/aba3d4
Wehner, M. F. (2020). Characterization of long period return values of extreme daily temperature and precipitation in the CMIP6 models: Part 2, projections of future change. Weather and Climate Extremes, 30, 100284. https://doi.org/10.1016/j.wace.2020.100284
Wehner, M., Gleckler, P., & Lee, J. (2020). Characterization of long period return values of extreme daily temperature and precipitation in the CMIP6 models: Part 1, model evaluation. Weather and Climate Extremes, 30, 100283. https://doi.org/10.1016/j.wace.2020.100283
Yang, D. (2020). A Shallow Water Model for Convective Self-Aggregation. https://doi.org/10.31223/osf.io/rtc2y
Zhang, C., Adames, Á. F., Khouider, B., Wang, B., & Yang, D. (2020). Four Theories of the Madden‐Julian Oscillation. Reviews of Geophysics, 58(3). Portico. https://doi.org/10.1029/2019rg000685
Zhou, W., Leung, L. R., Lu, J., Yang, D., & Song, F. (2020). Contrasting Recent and Future ITCZ Changes From Distinct Tropical Warming Patterns. Geophysical Research Letters, 47(22). Portico. https://doi.org/10.1029/2020gl089846
Zhou, W., Yang, D., Xie, S.-P., & Ma, J. (2020). Amplified Madden–Julian oscillation impacts in the Pacific–North America region. Nature Climate Change, 10(7), 654–660. https://doi.org/10.1038/s41558-020-0814-0
Barcikowska, M. J., Muñoz, Á. G., Weaver, S. J., Russo, S., & Wehner, M. (2019). On the potential impact of a half-degree warming on cold and warm temperature extremes in mid-latitude North America. Environmental Research Letters, 14(12), 124040. https://doi.org/10.1088/1748-9326/ab4dea
Barlow, M., Gutowski, W. J., Gyakum, J. R., Katz, R. W., Lim, Y.-K., Schumacher, R. S., Wehner, M. F., Agel, L., Bosilovich, M., Collow, A., Gershunov, A., Grotjahn, R., Leung, R., Milrad, S., & Min, S.-K. (2019). North American extreme precipitation events and related large-scale meteorological patterns: a review of statistical methods, dynamics, modeling, and trends. Climate Dynamics, 53(11), 6835–6875. https://doi.org/10.1007/s00382-019-04958-z
Cooley, D., & Wehner, M. (2019). Climate Science Needs Professional Statisticians. Eos, 100. https://doi.org/10.1029/2019eo133569
Eyring, V., Cox, P. M., Flato, G. M., Gleckler, P. J., Abramowitz, G., Caldwell, P., Collins, W. D., Gier, B. K., Hall, A. D., Hoffman, F. M., Hurtt, G. C., Jahn, A., Jones, C. D., Klein, S. A., Krasting, J. P., Kwiatkowski, L., Lorenz, R., Maloney, E., Meehl, G. A., Pendergrass, A. G., Pincus, R., Ruane, A. C., Russell, J. L., Sanderson, B. M., Santer, B. D., Sherwood, S. C., Simpson, I. R., Stouffer, R. J., & Williamson, M. S. (2019). Taking climate model evaluation to the next level. Nature Climate Change, 9(2), 102–110. https://doi.org/10.1038/s41558-018-0355-y
Foltz, G. R., Brandt, P., Richter, I., Rodríguez-Fonseca, B., Hernandez, F., Dengler, M., Rodrigues, R. R., Schmidt, J. O., Yu, L., Lefevre, N., Da Cunha, L. C., McPhaden, M. J., Araujo, M., Karstensen, J., Hahn, J., Martín-Rey, M., Patricola, C. M., Poli, P., Zuidema, P., Hummels, R., Perez, R. C., Hatje, V., Lübbecke, J. F., Polo, I., Lumpkin, R., Bourlès, B., Asuquo, F. E., Lehodey, P,. Conchon, A., Chang, P., Dandin, P., Schmid, C., Sutton, A., Giordani, H., Xue, Y., Illig, S., Losada, T., Grodsky, S. A., Gasparin, F., Lee, T., Mohino, E., Nobre, P., Wanninkhof, R., Keenlyside, N., Garcon, V., Sánchez-Gómez, E., Nnamchi, H. C., Drévillon, M., Storto, A., Remy, E., Lazar, A., Speich, S., Goes, M., Dorrington, T., Johns, W. E., Moum, J. N., Robinson, C., Perruche, C., de Souza, R. B., Gaye, A. T., López-Parages, J., Monerie, P.-A., Castellanos, P., Benson, N. U., Hounkonnou, M. N., Duhá, J. T., Laxenaire, R., & Reul, N. (2019). The Tropical Atlantic Observing System. Frontiers in Marine Science, 6. https://doi.org/10.3389/fmars.2019.00206
Fu, D., Chang, P., Patricola, C. M., & Saravanan, R. (2019). High-Resolution Tropical Channel Model Simulations of Tropical Cyclone Climatology and Intraseasonal-to-Interannual Variability. Journal of Climate, 32(22), 7871–7895. https://doi.org/10.1175/jcli-d-19-0130.1
Lawal, K. A., Abiodun, B. J., Stone, D. A., Olaniyan, E., & Wehner, M. F. (2019). Capability of CAM5.1 in simulating maximum air temperature patterns over West Africa during boreal spring. Modeling Earth Systems and Environment, 5(4), 1815–1838. https://doi.org/10.1007/s40808-019-00639-2
Lewis, S. C., King, A. D., Perkins‐Kirkpatrick, S. E., & Wehner, M. F. (2019). Toward Calibrated Language for Effectively Communicating the Results of Extreme Event Attribution Studies. Earth’s Future, 7(9), 1020–1026. Portico. https://doi.org/10.1029/2019ef001273
Muszynski, G., Kashinath, K., Kurlin, V., & Wehner, M. (2019). Topological data analysis and machine learning for recognizing atmospheric river patterns in large climate datasets. Geoscientific Model Development, 12(2), 613–628. https://doi.org/10.5194/gmd-12-613-2019
Nabizadeh, E., Hassanzadeh, P., Yang, D., & Barnes, E. A. (2019). Size of the Atmospheric Blocking Events: Scaling Law and Response to Climate Change. Geophysical Research Letters, 46(22), 13488–13499. Portico. https://doi.org/10.1029/2019gl084863
O’Brien, J. P., O’Brien, T. A., Patricola, C. M., & Wang, S.-Y. S. (2019). Metrics for understanding large-scale controls of multivariate temperature and precipitation variability. Climate Dynamics, 53(7–8), 3805–3823. https://doi.org/10.1007/s00382-019-04749-6
Patricola, C. M., O’Brien, J. P., Risser, M. D., Rhoades, A. M., O’Brien, T. A., Ullrich, P. A., Stone, D. A., & Collins, W. D. (2019). Maximizing ENSO as a source of western US hydroclimate predictability. Climate Dynamics, 54(1–2), 351–372. https://doi.org/10.1007/s00382-019-05004-8
Risser, M. D., Calder, C. A., Berrocal, V. J., & Berrett, C. (2019). Nonstationary spatial prediction of soil organic carbon: Implications for stock assessment decision making. The Annals of Applied Statistics, 13(1). https://doi.org/10.1214/18-aoas1204
Risser, M. D., Paciorek, C. J., O’Brien, T. A., Wehner, M. F., & Collins, W. D. (2019). Detected Changes in Precipitation Extremes at Their Native Scales Derived from In Situ Measurements. Journal of Climate, 32(23), 8087–8109. https://doi.org/10.1175/jcli-d-19-0077.1
Risser, M. D., Paciorek, C. J., Wehner, M. F., O’Brien, T. A., & Collins, W. D. (2019). A probabilistic gridded product for daily precipitation extremes over the United States. Climate Dynamics, 53(5–6), 2517–2538. https://doi.org/10.1007/s00382-019-04636-0
Risser, M., Paciorek, C., Wehner, M., O'Brien, T., & Collins, W. (2019). A probabilistic gridded product for extreme precipitation over the United States [Data set]. Harvard Dataverse. https://doi.org/10.7910/DVN/LULNUQ
Rutz, J. J., Shields, C. A., Lora, J. M., Payne, A. E., Guan, B., Ullrich, P., O’Brien, T., Leung, L. R., Ralph, F. M., Wehner, M., Brands, S., Collow, A., Goldenson, N., Gorodetskaya, I., Griffith, H., Kashinath, K., Kawzenuk, B., Krishnan, H., Kurlin, V., Lavers, D., Magnusdottir, G., Mahoney, K., McClenny, E., Muszynski, G., Nguyen, P. D., Prabhat, Qian, Y., Ramos, A. M., Sarangi, C., Sellars, S., Shulgina, T., Tome, R., Waliser, D., Walton, D., Wick, G., Wilson, A. M., & Viale, M. (2019). The Atmospheric River Tracking Method Intercomparison Project (ARTMIP): Quantifying Uncertainties in Atmospheric River Climatology. Journal of Geophysical Research: Atmospheres, 124(24), 13777–13802. Portico. https://doi.org/10.1029/2019jd030936
Shields, C. A., Rutz, J. J., Leung, L. R., Ralph, F. M., Wehner, M., O’Brien, T., & Pierce, R. (2019). Defining Uncertainties through Comparison of Atmospheric River Tracking Methods. Bulletin of the American Meteorological Society, 100(2), ES93–ES96. https://doi.org/10.1175/bams-d-18-0200.1
Srivastava, A., Grotjahn, R., Ullrich, P. A., & Risser, M. (2019). A unified approach to evaluating precipitation frequency estimates with uncertainty quantification: Application to Florida and California watersheds. Journal of Hydrology, 578, 124095. https://doi.org/10.1016/j.jhydrol.2019.124095
Timmermans, B., Wehner, M., Cooley, D., O’Brien, T., & Krishnan, H. (2019). An evaluation of the consistency of extremes in gridded precipitation data sets. Climate Dynamics, 52(11), 6651–6670. https://doi.org/10.1007/s00382-018-4537-0
Walsh, K. J. E., Camargo, S. J., Knutson, T. R., Kossin, J., Lee, T.-C., Murakami, H., & Patricola, C. (2019). Tropical cyclones and climate change. Tropical Cyclone Research and Review, 8(4), 240–250. https://doi.org/10.1016/j.tcrr.2020.01.004
Wehner, M. F. (2020). Anthropogenic changes in tropical cyclones and its impacts. Climate Extremes and Their Implications for Impact and Risk Assessment, 105–118. https://doi.org/10.1016/b978-0-12-814895-2.00006-9
Weijer, W., Hoffman, F., Ullrich, P., Wehner, M., & Liu, J. (2019). Hackathon Speeds Progress Toward Climate Model Collaboration. Eos, 100. https://doi.org/10.1029/2019eo137735
Xu, Y., Jones, A., & Rhoades, A. (2019). A quantitative method to decompose SWE differences between regional climate models and reanalysis datasets. Scientific Reports, 9(1). https://doi.org/10.1038/s41598-019-52880-5
Zhang, W., Villarini, G., & Wehner, M. (2019). Contrasting the responses of extreme precipitation to changes in surface air and dew point temperatures. Climatic Change, 154(1–2), 257–271. https://doi.org/10.1007/s10584-019-02415-8
Zhou, Y., & Kim, H. (2019). Impact of Distinct Origin Locations on the Life Cycles of Landfalling Atmospheric Rivers Over the U.S. West Coast. Journal of Geophysical Research: Atmospheres, 124(22), 11897–11909. Portico. https://doi.org/10.1029/2019jd031218
Barcikowska, M. J., Weaver, S. J., Feser, F., Russo, S., Schenk, F., Stone, D. A., Wehner, M. F., & Zahn, M. (2018). Euro-Atlantic winter storminess and precipitation extremes under 1.5 °C vs. 2 °C warming scenarios. Earth System Dynamics, 9(2), 679–699. https://doi.org/10.5194/esd-9-679-2018
Feng, Y., Negron-Juarez, R. I., Patricola, C. M., Collins, W. D., Uriarte, M., Hall, J. S., Clinton, N., & Chambers, J. Q. (2018). Rapid remote sensing assessment of impacts from Hurricane Maria on forests of Puerto Rico. https://doi.org/10.7287/peerj.preprints.26597v1
Fildier, B., Parishani, H., & Collins, W. D. (2018). Prognostic Power of Extreme Rainfall Scaling Formulas Across Space and Time Scales. Journal of Advances in Modeling Earth Systems, 10(12), 3252–3267. Portico. https://doi.org/10.1029/2018ms001462
Hsu, W.-C., Patricola, C. M., & Chang, P. (2018). The impact of climate model sea surface temperature biases on tropical cyclone simulations. Climate Dynamics, 53(1–2), 173–192. https://doi.org/10.1007/s00382-018-4577-5
Kim, Y.-H., Min, S.-K., Stone, D. A., Shiogama, H., & Wolski, P. (2018). Multi-model event attribution of the summer 2013 heat wave in Korea. Weather and Climate Extremes, 20, 33–44. https://doi.org/10.1016/j.wace.2018.03.004
Li, C., Michel, C., Seland Graff, L., Bethke, I., Zappa, G., Bracegirdle, T. J., Fischer, E., Harvey, B. J., Iversen, T., King, M. P., Krishnan, H., Lierhammer, L., Mitchell, D., Scinocca, J., Shiogama, H., Stone, D. A., & Wettstein, J. J. (2018). Midlatitude atmospheric circulation responses under 1.5 and 2.0 °C warming and implications for regional impacts. Earth System Dynamics, 9(2), 359–382. https://doi.org/10.5194/esd-9-359-2018
Mukherjee, S., Aadhar, S., Stone, D., & Mishra, V. (2018). Increase in extreme precipitation events under anthropogenic warming in India. Weather and Climate Extremes, 20, 45–53. https://doi.org/10.1016/j.wace.2018.03.005
Muszynski, G., Kashinath, K., Kurlin, V., & Wehner, M. (2018). Topological Data Analysis and Machine Learning for Recognizing Atmospheric River Patterns in Large Climate Datasets. https://doi.org/10.5194/gmd-2018-53
Paciorek, C. J., Stone, D. A., & Wehner, M. F. (2018). Quantifying statistical uncertainty in the attribution of human influence on severe weather. Weather and Climate Extremes, 20, 69–80. https://doi.org/10.1016/j.wace.2018.01.002
Patricola, C. M., & Wehner, M. F. (2018). Anthropogenic influences on major tropical cyclone events. Nature, 563(7731), 339–346. https://doi.org/10.1038/s41586-018-0673-2
Patricola, C. M., Camargo, S. J., Klotzbach, P. J., Saravanan, R., & Chang, P. (2018). The Influence of ENSO Flavors on Western North Pacific Tropical Cyclone Activity. Journal of Climate, 31(14), 5395–5416. https://doi.org/10.1175/jcli-d-17-0678.1
Patricola, C. M., Saravanan, R., & Chang, P. (2018). The Response of Atlantic Tropical Cyclones to Suppression of African Easterly Waves. Geophysical Research Letters, 45(1), 471–479. Portico. https://doi.org/10.1002/2017gl076081
Risser, M. D., Paciorek, C. J., & Stone, D. A. (2018). Spatially Dependent Multiple Testing Under Model Misspecification, With Application to Detection of Anthropogenic Influence on Extreme Climate Events. Journal of the American Statistical Association, 114(525), 61–78. https://doi.org/10.1080/01621459.2018.1451335
Roberts, M. J., Vidale, P. L., Senior, C., Hewitt, H. T., Bates, C., Berthou, S., Chang, P., Christensen, H. M., Danilov, S., Demory, M.-E., Griffies, S. M., Haarsma, R., Jung, T., Martin, G., Minobe, S., Ringler, T., Satoh, M., Schiemann, R., Scoccimarro, E., Stephens, G., & Wehner, M. F. (2018). The Benefits of Global High Resolution for Climate Simulation: Process Understanding and the Enabling of Stakeholder Decisions at the Regional Scale. Bulletin of the American Meteorological Society, 99(11), 2341–2359. https://doi.org/10.1175/bams-d-15-00320.1
Shields, C. A., Rutz, J. J., Leung, L.-Y., Ralph, F. M., Wehner, M., Kawzenuk, B., Lora, J. M., McClenny, E., Osborne, T., Payne, A. E., Ullrich, P., Gershunov, A., Goldenson, N., Guan, B., Qian, Y., Ramos, A. M., Sarangi, C., Sellars, S., Gorodetskaya, I., Kashinath, K., Kurlin, V., Mahoney, K., Muszynski, G., Pierce, R., Subramanian, A. C., Tome, R., Waliser, D., Walton, D., Wick, G., Wilson, A., Lavers, D., Prabhat, Collow, A., Krishnan, H., Magnusdottir, G., & Nguyen, P. (2018). Atmospheric River Tracking Method Intercomparison Project (ARTMIP): project goals and experimental design. Geoscientific Model Development, 11(6), 2455–2474. https://doi.org/10.5194/gmd-11-2455-2018
Stone, D. A., Risser, M. D., Angélil, O. M., Wehner, M. F., Cholia, S., Keen, N., Krishnan, H., O’Brien, T. A., & Collins, W. D. (2018). A basis set for exploration of sensitivity to prescribed ocean conditions for estimating human contributions to extreme weather in CAM5.1-1degree. Weather and Climate Extremes, 19, 10–19. https://doi.org/10.1016/j.wace.2017.12.003
Timmermans, B., Patricola, C., & Wehner, M. (2018). Simulation and Analysis of Hurricane-Driven Extreme Wave Climate Under Two Ocean Warming Scenarios. Oceanography, 31(2). https://doi.org/10.5670/oceanog.2018.218
Wehner, M. F., Reed, K. A., Loring, B., Stone, D., & Krishnan, H. (2018). Changes in tropical cyclones under stabilized 1.5 and 2.0 °C global warming scenarios as simulated by the Community Atmospheric Model under the HAPPI protocols. Earth System Dynamics, 9(1), 187–195. https://doi.org/10.5194/esd-9-187-2018
Wehner, M., Stone, D., Mitchell, D., Shiogama, H., Fischer, E., Graff, L. S., Kharin, V. V., Lierhammer, L., Sanderson, B., & Krishnan, H. (2018). Changes in extremely hot days under stabilized 1.5 and 2.0 °C global warming scenarios as simulated by the HAPPI multi-model ensemble. Earth System Dynamics, 9(1), 299–311. https://doi.org/10.5194/esd-9-299-2018
Wehner, M., Stone, D., Shiogama, H., Wolski, P., Ciavarella, A., Christidis, N., & Krishnan, H. (2018). Early 21st century anthropogenic changes in extremely hot days as simulated by the C20C+ detection and attribution multi-model ensemble. Weather and Climate Extremes, 20, 1–8. https://doi.org/10.1016/j.wace.2018.03.001
Williams, I. N., & Patricola, C. M. (2018). Diversity of ENSO Events Unified by Convective Threshold Sea Surface Temperature: A Nonlinear ENSO Index. Geophysical Research Letters, 45(17), 9236–9244. Portico. https://doi.org/10.1029/2018gl079203
Angélil, O., Stone, D., Perkins-Kirkpatrick, S., Alexander, L. V., Wehner, M., Shiogama, H., Wolski, P., Ciavarella, A., & Christidis, N. (2017). On the nonlinearity of spatial scales in extreme weather attribution statements. Climate Dynamics, 50(7–8), 2739–2752. https://doi.org/10.1007/s00382-017-3768-9
Angélil, O., Stone, D., Wehner, M., Paciorek, C. J., Krishnan, H., & Collins, W. (2017). An Independent Assessment of Anthropogenic Attribution Statements for Recent Extreme Temperature and Rainfall Events. Journal of Climate, 30(1), 5–16. https://doi.org/10.1175/jcli-d-16-0077.1
Cavanaugh, N. R., O’Brien, T. A., Collins, W. D., & Skamarock, W. C. (2017). Spherical Harmonic Spectral Estimation on Arbitrary Grids. Monthly Weather Review, 145(8), 3355–3363. https://doi.org/10.1175/mwr-d-16-0259.1
Fildier, B., Parishani, H., & Collins, W. D. (2017). Simultaneous characterization of mesoscale and convective‐scale tropical rainfall extremes and their dynamical and thermodynamic modes of change. Journal of Advances in Modeling Earth Systems, 9(5), 2103–2119. Portico. https://doi.org/10.1002/2017ms001033
Knutson, T., Kossin, J. P., Mears, C., Perlwitz, J., & Wehner, M. F. (2017). Ch. 3: Detection and Attribution of Climate Change. Climate Science Special Report: Fourth National Climate Assessment, Volume I (D. J. Wuebbles, D. W. Fahey, K. A. Hibbard, D. J. Dokken, B. C. Stewart, & T. K. Maycock, Eds.). U.S. Global Change Research Program. https://doi.org/10.7930/j01834nd
Kossin, J. P., Hall, T., Knutson, T., Kunkel, K. E., Trapp, R. J., Waliser, D. E., & Wehner, M. F. (2017). Ch. 9: Extreme Storms. Climate Science Special Report: Fourth National Climate Assessment, Volume I (D. J. Wuebbles, D. W. Fahey, K. A. Hibbard, D. J. Dokken, B. C. Stewart, & T. K. Maycock, Eds.). U.S. Global Change Research Program. https://doi.org/10.7930/j07s7kxx
Ma, S., Zhou, T., Stone, D. A., Angélil, O., & Shiogama, H. (2017). Attribution of the July–August 2013 heat event in Central and Eastern China to anthropogenic greenhouse gas emissions. Environmental Research Letters, 12(5), 054020. https://doi.org/10.1088/1748-9326/aa69d2
Ma, S., Zhou, T., Stone, D. A., Polson, D., Dai, A., Stott, P. A., von Storch, H., Qian, Y., Burke, C., Wu, P., Zou, L., & Ciavarella, A. (2017). Detectable Anthropogenic Shift toward Heavy Precipitation over Eastern China. Journal of Climate, 30(4), 1381–1396. https://doi.org/10.1175/jcli-d-16-0311.1
Mishra, V., Mukherjee, S., Kumar, R., & Stone, D. A. (2017). Heat wave exposure in India in current, 1.5 °C, and 2.0 °C worlds. Environmental Research Letters, 12(12), 124012. https://doi.org/10.1088/1748-9326/aa9388
Mitchell, D., AchutaRao, K., Allen, M., Bethke, I., Beyerle, U., Ciavarella, A., Forster, P. M., Fuglestvedt, J., Gillett, N., Haustein, K., Ingram, W., Iversen, T., Kharin, V., Klingaman, N., Massey, N., Fischer, E., Schleussner, C.-F., Scinocca, J., Seland, Ø., Shiogama, H., Shuckburgh, E., Sparrow, S., Stone, D., Uhe, P., Wallom, D., Wehner, M., & Zaaboul, R. (2017). Half a degree additional warming, prognosis and projected impacts (HAPPI): background and experimental design. Geoscientific Model Development, 10(2), 571–583. https://doi.org/10.5194/gmd-10-571-2017
Pall, P., Patricola, C. M., Wehner, M. F., Stone, D. A., Paciorek, C. J., & Collins, W. D. (2017). Diagnosing conditional anthropogenic contributions to heavy Colorado rainfall in September 2013. Weather and Climate Extremes, 17, 1–6. https://doi.org/10.1016/j.wace.2017.03.004
Patricola, C. M., Saravanan, R., & Chang, P. (2017). A teleconnection between Atlantic sea surface temperature and eastern and central North Pacific tropical cyclones. Geophysical Research Letters, 44(2), 1167–1174. Portico. https://doi.org/10.1002/2016gl071965
Risser, M. D., & Wehner, M. F. (2017). Attributable Human‐Induced Changes in the Likelihood and Magnitude of the Observed Extreme Precipitation during Hurricane Harvey. Geophysical Research Letters, 44(24). Portico. https://doi.org/10.1002/2017gl075888
Risser, M. D., Stone, D. A., Paciorek, C. J., Wehner, M. F., & Angélil, O. (2017). Quantifying the effect of interannual ocean variability on the attribution of extreme climate events to human influence. Climate Dynamics, 49(9–10), 3051–3073. https://doi.org/10.1007/s00382-016-3492-x
Sanderson, B. M., & Wehner, M. F. (2017). Appendix B: Model Weighting Strategy. Climate Science Special Report: Fourth National Climate Assessment, Volume I (D. J. Wuebbles, D. W. Fahey, K. A. Hibbard, D. J. Dokken, B. C. Stewart, & T. K. Maycock, Eds.). U.S. Global Change Research Program. https://doi.org/10.7930/j06t0js3
Sanderson, B. M., Xu, Y., Tebaldi, C., Wehner, M., O’Neill, B., Jahn, A., Pendergrass, A. G., Lehner, F., Strand, W. G., Lin, L., Knutti, R., & Lamarque, J. F. (2017). Community climate simulations to assess avoided impacts in 1.5 and 2  °C futures. Earth System Dynamics, 8(3), 827–847. https://doi.org/10.5194/esd-8-827-2017
Schiemann, R., Demory, M.-E., Shaffrey, L. C., Strachan, J., Vidale, P. L., Mizielinski, M. S., Roberts, M. J., Matsueda, M., Wehner, M. F., & Jung, T. (2017). The Resolution Sensitivity of Northern Hemisphere Blocking in Four 25-km Atmospheric Global Circulation Models. Journal of Climate, 30(1), 337–358. https://doi.org/10.1175/jcli-d-16-0100.1
Timmermans, B., Stone, D., Wehner, M., & Krishnan, H. (2017). Impact of tropical cyclones on modeled extreme wind‐wave climate. Geophysical Research Letters, 44(3), 1393–1401. Portico. https://doi.org/10.1002/2016gl071681
Vose, R. S., Easterling, D. R., Kunkel, K. E., LeGrande, A. N., & Wehner, M. F. (2017). Ch. 6: Temperature Changes in the United States. Climate Science Special Report: Fourth National Climate Assessment, Volume I. U.S. Global Change Research Program. https://doi.org/10.7930/j0n29v45
Wehner, M. F., Arnold, J. R., Knutson, T., Kunkel, K. E., & LeGrande, A. N. (2017). Ch. 8: Droughts, Floods, and Wildfires. Climate Science Special Report: Fourth National Climate Assessment, Volume I. U.S. Global Change Research Program. https://doi.org/10.7930/j0cj8bnn
Wehner, M. F., Reed, K. A., & Zarzycki, C. M. (2017). High-Resolution Multi-decadal Simulation of Tropical Cyclones. Hurricanes and Climate Change, 187–211. https://doi.org/10.1007/978-3-319-47594-3_8
Wuebbles, D. J., Easterling, D. R., Hayhoe, K., Knutson, T., Kopp, R. E., Kossin, J. P., Kunkel, K. E., LeGrande, A. N., Mears, C., Sweet, W. V., Taylor, P. C., Vose, R. S., & Wehner, M. F. (2017). Ch. 1: Our Globally Changing Climate. Climate Science Special Report: Fourth National Climate Assessment, Volume I (D. J. Wuebbles, D. W. Fahey, K. A. Hibbard, D. J. Dokken, B. C. Stewart, & T. K. Maycock, Eds.). U.S. Global Change Research Program. https://doi.org/10.7930/j08s4n35
Angélil, O., Perkins-Kirkpatrick, S., Alexander, L. V., Stone, D., Donat, M. G., Wehner, M., Shiogama, H., Ciavarella, A., & Christidis, N. (2016). Comparing regional precipitation and temperature extremes in climate model and reanalysis products. Weather and Climate Extremes, 13, 35–43. https://doi.org/10.1016/j.wace.2016.07.001
Ashouri, H., Sorooshian, S., Hsu, K.-L., Bosilovich, M. G., Lee, J., Wehner, M. F., & Collow, A. (2016). Evaluation of NASA’s MERRA Precipitation Product in Reproducing the Observed Trend and Distribution of Extreme Precipitation Events in the United States. Journal of Hydrometeorology, 17(2), 693–711. https://doi.org/10.1175/jhm-d-15-0097.1
Donner, L. J., O’Brien, T. A., Rieger, D., Vogel, B., & Cooke, W. F. (2016). Are atmospheric updrafts a key to unlocking climate forcing and sensitivity?? Atmospheric Chemistry and Physics, 16(20), 12983–12992. https://doi.org/10.5194/acp-16-12983-2016
Easterling, D. R., Kunkel, K. E., Wehner, M. F., & Sun, L. (2016). Detection and attribution of climate extremes in the observed record. Weather and Climate Extremes, 11, 17–27. https://doi.org/10.1016/j.wace.2016.01.001
Gillett, N. P., Shiogama, H., Funke, B., Hegerl, G., Knutti, R., Matthes, K., Santer, B. D., Stone, D., & Tebaldi, C. (2016). Detection and Attribution Model Intercomparison Project (DAMIP). https://doi.org/10.5194/gmd-2016-74
Gillett, N. P., Shiogama, H., Funke, B., Hegerl, G., Knutti, R., Matthes, K., Santer, B. D., Stone, D., & Tebaldi, C. (2016). The Detection and Attribution Model Intercomparison Project (DAMIP v1.0) contribution to CMIP6. Geoscientific Model Development, 9(10), 3685–3697. https://doi.org/10.5194/gmd-9-3685-2016
Huggel, C., Wallimann-Helmer, I., Stone, D., & Cramer, W. (2016). Reconciling justice and attribution research to advance climate policy. Nature Climate Change, 6(10), 901–908. https://doi.org/10.1038/nclimate3104
Jeon, S., Paciorek, C. J., & Wehner, M. F. (2016). Quantile-based bias correction and uncertainty quantification of extreme event attribution statements. Weather and Climate Extremes, 12, 24–32. https://doi.org/10.1016/j.wace.2016.02.001
Lawal, K. A., Abatan, A. A., Angélil, O., Olaniyan, E., Olusoji, V. H., Oguntunde, P. G., Lamptey, B., Abiodun, B. J., Shiogama, H., Wehner, M. F., & Stone, DáithíA. (2016). The Late Onset of the 2015 Wet Season in Nigeria. Bulletin of the American Meteorological Society, 97(12), S63–S69. https://doi.org/10.1175/bams-d-16-0131.1
O’Brien, T. A., Collins, W. D., Kashinath, K., Rübel, O., Byna, S., Gu, J., Krishnan, H., & Ullrich, P. A. (2016). Resolution dependence of precipitation statistical fidelity in hindcast simulations. Journal of Advances in Modeling Earth Systems, 8(2), 976–990. Portico. https://doi.org/10.1002/2016ms000671
O’Brien, T. A., Kashinath, K., Cavanaugh, N. R., Collins, W. D., & O’Brien, J. P. (2016). A fast and objective multidimensional kernel density estimation method: fastKDE. Computational Statistics & Data Analysis, 101, 148–160. https://doi.org/10.1016/j.csda.2016.02.014
Rauscher, S. A., O’Brien, T. A., Piani, C., Coppola, E., Giorgi, F., Collins, W. D., & Lawston, P. M. (2016). A multimodel intercomparison of resolution effects on precipitation: simulations and theory. Climate Dynamics, 47(7–8), 2205–2218. https://doi.org/10.1007/s00382-015-2959-5
Sanderson, B., Wehner, M., & Knutti, R. (2016). Skill and independence weighting for multi-model assessments. https://doi.org/10.5194/gmd-2016-285
Shiogama, H., Imada, Y., Mori, M., Mizuta, R., Stone, D., Yoshida, K., Arakawa, O., Ikeda, M., Takahashi, C., Arai, M., Ishii, M., Watanabe, M., & Kimoto, M. (2016). Attributing Historical Changes in Probabilities of Record-Breaking Daily Temperature and Precipitation Extreme Events. SOLA, 12(0), 225–231. https://doi.org/10.2151/sola.2016-045
Shiogama, H., Stone, D., Emori, S., Takahashi, K., Mori, S., Maeda, A., Ishizaki, Y., & Allen, M. R. (2016). Predicting future uncertainty constraints on global warming projections. Scientific Reports, 6(1). https://doi.org/10.1038/srep18903
Strazzo, S. E., Elsner, J. B., LaRow, T. E., Murakami, H., Wehner, M., & Zhao, M. (2016). The influence of model resolution on the simulated sensitivity of North Atlantic tropical cyclone maximum intensity to sea surface temperature. Journal of Advances in Modeling Earth Systems, 8(3), 1037–1054. Portico. https://doi.org/10.1002/2016ms000635
Tebaldi, C., & Wehner, M. F. (2016). Benefits of mitigation for future heat extremes under RCP4.5 compared to RCP8.5. Climatic Change, 146(3–4), 349–361. https://doi.org/10.1007/s10584-016-1605-5
Wehner, M., Stone, D., Krishnan, H., AchutaRao, K., & Castillo, F. (2016). The Deadly Combination of Heat and Humidity in India and Pakistan in Summer 2015. Bulletin of the American Meteorological Society, 97(12), S81–S86. https://doi.org/10.1175/bams-d-16-0145.1
Barros, V. R., Field, C. B., Dokken, D. J., Mastrandrea, M. D., & Mach, K. J. (Eds.). (n.d.). Africa. Climate Change 2014: Impacts, Adaptation and Vulnerability, 1199–1266. https://doi.org/10.1017/cbo9781107415386.002
Barros, V. R., Field, C. B., Dokken, D. J., Mastrandrea, M. D., & Mach, K. J. (Eds.). (n.d.). Asia. Climate Change 2014: Impacts, Adaptation and Vulnerability, 1327–1370. https://doi.org/10.1017/cbo9781107415386.004
Barros, V. R., Field, C. B., Dokken, D. J., Mastrandrea, M. D., & Mach, K. J. (Eds.). (n.d.). The Ocean. Climate Change 2014: Impacts, Adaptation and Vulnerability, 1655–1732. https://doi.org/10.1017/cbo9781107415386.010
Daloz, A. S., Camargo, S. J., Kossin, J. P., Emanuel, K., Horn, M., Jonas, J. A., Kim, D., LaRow, T., Lim, Y.-K., Patricola, C. M., Roberts, M., Scoccimarro, E., Shaevitz, D., Vidale, P. L., Wang, H., Wehner, M., & Zhao, M. (2015). Cluster Analysis of Downscaled and Explicitly Simulated North Atlantic Tropical Cyclone Tracks. Journal of Climate, 28(4), 1333–1361. https://doi.org/10.1175/jcli-d-13-00646.1
Field, C. B., Barros, V. R., Dokken, D. J., Mach, K. J., & Mastrandrea, M. D. (Eds.). (n.d.). Detection and Attribution of Observed Impacts. Climate Change 2014 Impacts, Adaptation, and Vulnerability, 979–1038. https://doi.org/10.1017/cbo9781107415379.023
Field, C. B., Barros, V. R., Dokken, D. J., Mach, K. J., & Mastrandrea, M. D. (Eds.). (n.d.). Summary for Policymakers. Climate Change 2014 Impacts, Adaptation, and Vulnerability, 1–32. https://doi.org/10.1017/cbo9781107415379.003
Field, C. B., Barros, V. R., Dokken, D. J., Mach, K. J., & Mastrandrea, M. D. (Eds.). (n.d.). Technical Summary. Climate Change 2014 Impacts, Adaptation, and Vulnerability, 35–94. https://doi.org/10.1017/cbo9781107415379.004
Fildier, B., & Collins, W. D. (2015). Origins of climate model discrepancies in atmospheric shortwave absorption and global precipitation changes. Geophysical Research Letters, 42(20), 8749–8757. Portico. https://doi.org/10.1002/2015gl065931
Grotjahn, R., Black, R., Leung, R., Wehner, M. F., Barlow, M., Bosilovich, M., Gershunov, A., Gutowski, W. J., Gyakum, J. R., Katz, R. W., Lee, Y.-Y., Lim, Y.-K., & Prabhat. (2015). North American extreme temperature events and related large scale meteorological patterns: a review of statistical methods, dynamics, modeling, and trends. Climate Dynamics, 46(3–4), 1151–1184. https://doi.org/10.1007/s00382-015-2638-6
Hansen, G., & Stone, D. (2015). Assessing the observed impact of anthropogenic climate change. Nature Climate Change, 6(5), 532–537. https://doi.org/10.1038/nclimate2896
Hansen, G., Stone, D., Auffhammer, M., Huggel, C., & Cramer, W. (2015). Linking local impacts to changes in climate: a guide to attribution. Regional Environmental Change, 16(2), 527–541. https://doi.org/10.1007/s10113-015-0760-y
Jeon, S., Byna, S., Gu, J., Collins, W. D., & Wehner, M. F. (2015). Characterization of extreme precipitation within atmospheric river events over California. Advances in Statistical Climatology, Meteorology and Oceanography, 1(1), 45–57. https://doi.org/10.5194/ascmo-1-45-2015
Martini, M. N., Gustafson, W. I., O’Brien, T. A., & Ma, P. (2015). Evaluation of tropical channel refinement using MPAS‐A aquaplanet simulations. Journal of Advances in Modeling Earth Systems, 7(3), 1351–1367. Portico. https://doi.org/10.1002/2015ms000470
Paciorek, C. J., Lipshitz, B., Zhuo, W., Prabhat, Kaufman, C. G., & Thomas, R. C. (2015). Parallelizing Gaussian Process Calculations inR. Journal of Statistical Software, 63(10). https://doi.org/10.18637/jss.v063.i10
Prabhat, Byna, S., Vishwanath, V., Dart, E., Wehner, M., & Collins, W. D. (2015). TECA: Petascale Pattern Recognition for Climate Science. Lecture Notes in Computer Science, 426–436. https://doi.org/10.1007/978-3-319-23117-4_37
Reed, K. A., Bacmeister, J. T., Rosenbloom, N. A., Wehner, M. F., Bates, S. C., Lauritzen, P. H., Truesdale, J. E., & Hannay, C. (2015). Impact of the dynamical core on the direct simulation of tropical cyclones in a high‐resolution global model. Geophysical Research Letters, 42(9), 3603–3608. Portico. https://doi.org/10.1002/2015gl063974
Walsh, K. J. E., Camargo, S. J., Vecchi, G. A., Daloz, A. S., Elsner, J., Emanuel, K., Horn, M., Lim, Y.-K., Roberts, M., Patricola, C., Scoccimarro, E., Sobel, A. H., Strazzo, S., Villarini, G., Wehner, M., Zhao, M., Kossin, J. P., LaRow, T., Oouchi, K., Schubert, S., Wang, H., Bacmeister, J., Chang, P., Chauvin, F., Jablonowski, C., Kumar, A., Murakami, H., Ose, T., Reed, K. A., Saravanan, R., Yamada, Y., Zarzycki, C. M., Vidale, P. L., Jonas, J. A., & Henderson, N. (2015). Hurricanes and Climate: The U.S. CLIVAR Working Group on Hurricanes. Bulletin of the American Meteorological Society, 96(6), 997–1017. https://doi.org/10.1175/bams-d-13-00242.1
Wehner, M. F., & Easterling, D. R. (2015). The global warming hiatus’s irrelevance. Science, 350(6267), 1482–1483. https://doi.org/10.1126/science.350.6267.1482-d
Wehner, M., Prabhat, Reed, K. A., Stone, D., Collins, W. D., & Bacmeister, J. (2015). Resolution Dependence of Future Tropical Cyclone Projections of CAM5.1 in the U.S. CLIVAR Hurricane Working Group Idealized Configurations. Journal of Climate, 28(10), 3905–3925. https://doi.org/10.1175/jcli-d-14-00311.1
Bacmeister, J. T., Wehner, M. F., Neale, R. B., Gettelman, A., Hannay, C., Lauritzen, P. H., Caron, J. M., & Truesdale, J. E. (2014). Exploratory High-Resolution Climate Simulations using the Community Atmosphere Model (CAM). Journal of Climate, 27(9), 3073–3099. https://doi.org/10.1175/jcli-d-13-00387.1
Herring, S. C., Hoerling, M. P., Peterson, T. C., & Stott, P. A. (2014). Explaining Extreme Events of 2013 from a Climate Perspective. Bulletin of the American Meteorological Society, 95(9), S1–S104. https://doi.org/10.1175/1520-0477-95.9.s1.1
Lawal, K. A., Stone, D. A., Aina, T., Rye, C., & Abiodun, B. J. (2014). Trends in the potential spread of seasonal climate simulations over South Africa. International Journal of Climatology, 35(9), 2193–2209. https://doi.org/10.1002/joc.4234
Lu, J., Ruby Leung, L., Yang, Q., Chen, G., Collins, W. D., Li, F., Jason Hou, Z., & Feng, X. (2014). The robust dynamical contribution to precipitation extremes in idealized warming simulations across model resolutions. Geophysical Research Letters, 41(8), 2971–2978. Portico. https://doi.org/10.1002/2014gl059532
O’Brien, T. A., Collins, W. D., Rauscher, S. A., & Ringler, T. D. (2014). Reducing the computational cost of the ECF using a nuFFT: A fast and objective probability density estimation method. Computational Statistics & Data Analysis, 79, 222–234. https://doi.org/10.1016/j.csda.2014.06.002
Shaevitz, D. A., Camargo, S. J., Sobel, A. H., Jonas, J. A., Kim, D., Kumar, A., LaRow, T. E., Lim, Y., Murakami, H., Reed, K. A., Roberts, M. J., Scoccimarro, E., Vidale, P. L., Wang, H., Wehner, M. F., Zhao, M., & Henderson, N. (2014). Characteristics of tropical cyclones in high‐resolution models in the present climate. Journal of Advances in Modeling Earth Systems, 6(4), 1154–1172. Portico. https://doi.org/10.1002/2014ms000372
Torregrosa, A., O’Brien, T. A., & Faloona, I. C. (2014). Coastal Fog, Climate Change, and the Environment. Eos, Transactions American Geophysical Union, 95(50), 473–474. Portico. https://doi.org/10.1002/2014eo500001
Villarini, G., Lavers, D. A., Scoccimarro, E., Zhao, M., Wehner, M. F., Vecchi, G. A., Knutson, T. R., & Reed, K. A. (2014). Sensitivity of Tropical Cyclone Rainfall to Idealized Global-Scale Forcings**. Journal of Climate, 27(12), 4622–4641. https://doi.org/10.1175/jcli-d-13-00780.1
Vose, R. S., Applequist, S., Bourassa, M. A., Pryor, S. C., Barthelmie, R. J., Blanton, B., Bromirski, P. D., Brooks, H. E., DeGaetano, A. T., Dole, R. M., Easterling, D. R., Jensen, R. E., Karl, T. R., Katz, R. W., Klink, K., Kruk, M. C., Kunkel, K. E., MacCracken, M. C., Peterson, T. C., Shein, K., Thomas, B. R., Walsh, J. E., Wang, X. L., Wehner, M. F., Wuebbles, D. J., & Young, R. S. (2014). Monitoring and Understanding Changes in Extremes: Extratropical Storms, Winds, and Waves. Bulletin of the American Meteorological Society, 95(3), 377–386. https://doi.org/10.1175/bams-d-12-00162.1
Wehner, M. F. (2014). A temporary hiatus in warming of extreme temperatures is not unusual, nor inconsistent with model simulations of human-induced climate change. Environmental Research Letters, 9(7), 071001. https://doi.org/10.1088/1748-9326/9/7/071001
Wehner, M. F., Reed, K. A., Li, F., Prabhat, Bacmeister, J., Chen, C., Paciorek, C., Gleckler, P. J., Sperber, K. R., Collins, W. D., Gettelman, A., & Jablonowski, C. (2014). The effect of horizontal resolution on simulation quality in the Community Atmospheric Model, CAM5.1. Journal of Advances in Modeling Earth Systems, 6(4), 980–997. Portico. https://doi.org/10.1002/2013ms000276
Williams, I. N., Torn, M. S., Riley, W. J., & Wehner, M. F. (2014). Impacts of climate extremes on gross primary production under global warming. Environmental Research Letters, 9(9), 094011. https://doi.org/10.1088/1748-9326/9/9/094011
Wuebbles, D. J., Kunkel, K., Wehner, M., & Zobel, Z. (2014). Severe Weather in United States Under a Changing Climate. Eos, Transactions American Geophysical Union, 95(18), 149–150. Portico. https://doi.org/10.1002/2014eo180001
Wuebbles, D., Meehl, G., Hayhoe, K., Karl, T. R., Kunkel, K., Santer, B., Wehner, M., Colle, B., Fischer, E. M., Fu, R., Goodman, A., Janssen, E., Kharin, V., Lee, H., Li, W., Long, L. N., Olsen, S. C., Pan, Z., Seth, A., Sheffield, J., & Sun, L. (2014). CMIP5 Climate Model Analyses: Climate Extremes in the United States. Bulletin of the American Meteorological Society, 95(4), 571–583. https://doi.org/10.1175/bams-d-12-00172.1
Güttler, I., Branković, Č., O’Brien, T. A., Coppola, E., Grisogono, B., & Giorgi, F. (2013). Sensitivity of the regional climate model RegCM4.2 to planetary boundary layer parameterisation. Climate Dynamics, 43(7–8), 1753–1772. https://doi.org/10.1007/s00382-013-2003-6