Publications

PEER-REVIEWED PUBLICATIONS

^ Denotes publication with student as lead author

  1. Harris, T., Li, B. and Sriver, R. L. (Submitted), Multi-model ensemble analysis with infinite width deep neural networks.
  2. Srikrishnan, V., Lafferty, D. C., Wong, T. E., Lamontagne, J. R., Quinn, J. D., Sharma, S., Molla, N. J., Herman, J. D., Sriver, R. L., Morris, J. F., and Lee, B. S. (Submitted), Uncertainty analysis in multi-sector systems: Considerations for risk analysis, projection, and planning for complex systems, In Review.
  3. ^ Li, S., Sriver, R. L., and Miller, D. E. (Submitted), Skillful prediction of UK seasonal energy consumption based on surface climate information, In Review.
  4. Wong, T. E., Sriver, R. L., and Garner, A. J. (Submitted), Characterizing the uncertainty surrounding sea-level rise projections to inform decisions, In Review.
  5. ^Lafferty, D. C., Sriver, R. L., Haqiqi, I., Hertel, T. W., Keller, K., and Nicholas, R. E. (2021), Statistically bias-corrected and downscaled climate models underestimate the severity of U.S. maize yield shocks, Communications Earth and Environment 2, 196. Link to abstract
  6. Tebaldi, C., Rasmussen, DJ, Vega-Westhoff, B., Sriver, R. L., Kopp, R. E., Ranasinghe, R., Kirezci, E., Vousdoukas, M., and Mentaschi, L. (2021), Extreme sea levels at different global warming levels, Nature Climate Change, 11(9), 746-751. Link to abstract
  7. ^ Vega-Westhoff, B., Sriver, R. L., Hartin, C. A., Wong, T. E., and Keller, K. (2020), The role of climate sensitivity in extreme sea-level rise projections, Geophysical Research Letters, 47, e2019GL085792. Link to abstract
  8. Schwarber, A. K., Smith, S. J., Hartin, C. A., Vega-Westhoff, B. A., and Sriver, R. L., (2019), Simple climate model evaluation using fundamental unit tests, Earth System Dynamics, 10, 729–739. Link to abstract
  9. Markus, M., Cai, X., and Sriver, R. L. (2019), Extreme floods and droughts under future climate scenarios, Water, 11, 1720, doi.10.3390/w11081720. Link to abstract
  10. ^ Vega-Westhoff, B., Sriver, R. L., Hartin, C. A., Wong, T. E., and Keller, K. (2019), Impacts of Observational Constraints Related to Sea Level on Estimates of Climate Sensitivity, Earth’s Future, doi:10.1029/2018EF001082.Link to abstract
  11. ^ Li, H., and Sriver, R. L., (2019), Impact of air-sea coupling on the simulated global tropical cyclone activity in the high-resolution Community Earth System Model (CESM), Climate Dynamics, doi:10.1007/s00382-019-04739-8. Link to abstract.
  12. Haugen, M. A., Stein, M., L., Sriver, R., L., and Moyer, E. L. (2019), Future climate emulations using quantile regressions on large ensembles, Advances in Statistical Climatology, Meteorology, and Oceanography, doi:10.5194/ascmo-5-37-2019.Link to abstract.
  13. ^ Hogan, E. E., Nicholas, R., Keller, K., Eilts, S. and Sriver, R. L. (2019), Representation of US warm temperature extremes in global climate model ensembles, Journal of Climate, doi:10.1175/JCLI-D-18-0075.1Link to abstract.
  14. ^ Hogan, E. E., and Sriver, R. L. (2019), The effect of internal variability on ocean temperature adjustment in a low-resolution CESM initial condition ensemble, Journal of Geophysical Research-Oceans, 124, doi:10.1029/2018JC014535. Link to abstract
  15. ^ Huang, A., Vega-Westhoff, B., and Sriver, R. L. (2019), Analyzing El Nino-Southern Oscillation predictability using  long-short-term-memory models, Earth and Space Science, 6, 212-221, doi:10.1029/2018EA000423. Link to abstract
  16. ^ Li, H. and Sriver, R. L. (2018), Impact of tropical cyclones on the global ocean: Results from multi-decadal global ocean simulations isolating tropical cyclone forcing, Journal of Climate, 31, 8761-8784, doi:10.1175/JCLI-D-18-0221.1. Link to abstract
  17. Haugen, M. A., Stein, M. L., Moyer, E. J., and Sriver, R. L. (2018),  Estimating changes in temperature distributions in a large ensemble of climate simulations using quantile regression, Journal of Climate, 31, 8573-8588, doi:10.1175/JCLI-D-17-0782.1. Link to abstract
  18. Sriver, R. L., Lempert, R. J., Wikman-Svahn, P. and Keller, K. (2018), Characterizing uncertain sea level rise projections to support investment decisions, Plos One, 13(2), e0190641, doi:10.1371/journal.pone.0190641.   Link to abstract
  19. ^ Li, H. and Sriver, R. L. (2018), Tropical cyclone activity in the high-resolution Community Earth System Model and the impact of ocean coupling, Journal of Advances in Modeling Earth Systems, 10. doi:10.1002/2017MS001199. Link to abstract
  20. ^ Vega-Westhoff, B., and Sriver, R. L. (2017), Analysis of ENSO’s response to unforced variability and anthropogenic forcing using CESM, Nature Scientific Reports, 7:18047, doi:10.1038/s41598-017-18459-8. Link to abstract
  21. ^ Hogan, E.E. and Sriver, R. L. (2017), Analyzing the effect of ocean internal variability on depth-integrated steric sea-level rise trends using a low-resolution CESM ensemble, Water, 9, 483, doi:10.3390/w9070483.  Link to abstract
  22. ^ Huang, A., Li., H., Sriver, R. L., Fedorov, A. V., and Brierley, C. M. (2017), Regional variations in the ocean response to tropical cyclones:  Ocean mixing versus low cloud suppression, Geophysical Research Letters, doi:10.1002/2016GL072023.  Link to abstract
  23. ^ Li, H. and Sriver, R. L. (2016), Effects of ocean grid resolution on tropical cyclone-induced ocean responses using a global ocean general circulation model, Journal of Geophysical Research-Oceans, 121, 8305-8319. doi:10.1002/2016JC011951. Link to abstract
  24. ^ Janssen, E., Sriver, R. L., Wuebbles, D. J., and Kunkel, K. E. (2016), Seasonal and regional variations in extreme precipitation event frequency using CMIP5, Geophysical Research Letters. doi:10.1002/2016GL069151. Link to abstract
  25.  ^ Li, H., Sriver, R. L., and Goes, M. (2016), Modeled sensitivity of the northwestern Pacific upper-ocean response to tropical cyclones in a fully-coupled climate model with varying ocean grid resolution, Journal of Geophysical Research-Oceans, doi:10.1002/2015JC011226.Link to abstract
  26. Sriver, R. L., Forest, C. E., and Keller, K. (2015), Effects of initial conditions uncertainty on regional climate variability: An analysis using a low-resolution CESM ensemble, Geophysical Research Letters, 42, 5468-5476, doi.10/1002/2015GL064546.Link to abstract
  27. Cheng, L., Zhu, J., and Sriver, R. L. (2015), Global representation of tropical cyclone-induced short-term ocean thermal changes using Argo data, Ocean Science, 11, 1-23, doi:10.5194/os-11-1-2015.Link to abstract
  28. Urban, N. M., Holden, P. B., Edwards, N. R., Sriver, R. L., Olson, R., and Keller, K. (2014), Historical and future learning about climate sensitivity, Geophysical Research Letters, 41, 7, 2543-2552, doi:10.1002/2014GL059484.Link to abstract
  29. Sriver, R. L., Timmermann, A., Mann, M. E., Keller, K., and Goosse, H. (2014), Improved representation of tropical Pacific ocean-atmosphere dynamics in an intermediate complexity climate model, Journal of Climate, 27, 168-185, DOI:10.1175/JCLI-D-12-00849.1 Link to abstract
  30. Sriver, R. L. (2013), Observational evidence supports the role of tropical cyclones in regulating climate, Proceedings of the National Acadamy of Sciences of the United States of America, 110, no. 38, 15173-15174, doi:10.1073/pnas.1314721110 Link to abstract
  31. Olson, R., Sriver, R. L., Haran, M., Chang, W., Urban, N. M., and Keller, K. (2013), What is the effect of unresolved internal climate variability on climate sensitivity estimates? Journal of Geophysical Research-Atmospheres, 118, 4348-4358, DOI:10.1002/jgrd.50390 Link to abstract
  32. Sriver, R. L., Huber, M., and Chafik, L. (2013), Excitation of equatorial Kelvin and Yanai waves by tropical cyclones in an ocean general circulation model, Earth System Dynamics, 4, 1-10, doi:10.5194/esd-4-1-2013. Link to Paper.
  33. Sriver, R. L., Urban, N. M., Olson, R., and Keller, K. (2012), Toward a physically plausible upper bound of sea-level projections. Climatic Change, 115, 893-902, doi:10.1007/s10584-012-0610-6. Link to abstract
  34. Lempert, R., Sriver, R. L., and Keller, K. (2012), Characterizing uncertain sea level rise projections to support infrastructure investment decisions, California Energy Commission, Publication Number: CEC-500-2012-056. Link to pdf.
  35. Wang, J.-W., Han, W., and Sriver, R. L. (2012), Impact of tropical cyclones on the ocean heat budget in the Bay of Bengal during 1999, Part II: Processes and interpretations, Journal of Geophysical Research-Oceans, 117, C9, doi:10.1029/2012JC008373. Link to abstract
  36. Wang, J.-W., Han, W., and Sriver, R. L. (2012), Impact of tropical cyclones on the ocean heat budget in the Bay of Bengal during 1999, Part I: Model configuration and evaluation, Journal of Geophysical Research-Oceans, 117, C9, doi:10.1029/2012JC008372.Link to abstract
  37. Tuana, N., Sriver, R. L., Svoboda, T., Tonkonojenkov, R., Irvine, P. Haqq-Misra, J., and Keller, K. (2012), A research agenda for an integrated ethical and scientific analysis of geoengineering proposals, Ethics, Policy, & Environment, 15(2), doi: 10.1080/21550085.2012.685557. Link to abstract
  38. Irvine, P., Sriver, R. L., and Keller, K. (2012), Tension between reducing sea-level rise and global warming through solar radiation management, Nature Climate Change, 2, 97-100, doi:10.1038/nclimate1351. Link to abstract
  39. Olson, R., Sriver, R. L., Goes, M., Urban, N. M., Matthews, H. D., Haran, M., and Keller, K. (2012), A climate sensitivity estimate using Bayesian fusion of instrumental observations and an Earth System model, Journal of Geophysical Research-Atmospheres, 117, D04103, doi:10.1029/2011JD016620. Link to abstract
  40. Sriver, R. L. (2011), Climate Change: Man-made cyclones, Nature, 479, 50-51, doi:10.1038/479050a. Link to abstract
  41. Woodruff, J. D., Sriver, R. L., and Lund, D. C. (2011), Tropical cyclone activity and western North Atlantic stratification over the last millennium: A comparative review with viable connections, Journal of Quaternary Science, doi:10.1002/jqs.1551. Link to abstract
  42. Sriver, R. L. (2010), Climate Change: Tropical cyclones in the mix, Nature, 463, 1032-1033, doi:10.1038/461032a. Link to abstract
  43. Sriver, R. L., Goes, M., Mann, M. E., and Keller, K. (2010), Climate response to tropical cyclone-induced ocean mixing in an Earth system model of intermediate complexity, Journal of Geophysical Research-Oceans, 115, C10042, doi:10.1029/2010JC006106. Link to abstract
  44. Sriver, R. L., and Huber, M. (2010), Modeled sensitivity of upper thermocline properties to tropical cyclone winds and possible feedbacks on the Hadley circulation, Geophysical Research Letters, 37 L08704, doi:10.1029/2010GL042836.Link to abstract
  45. Done,J, Hu, A., Farmer, E. C., Yin, J., Bates, J., Frappier, A. B., Halkides, D. J., Kilbourne, K. H., Sriver, R. L., and Woodruff, J. (2009), The Thermohaline circulation and tropical cyclones in past, present, and future climates, Bulletin of the Atmospheric Sciences, 90, 1015-1017, doi:10.1175/2009BAMS2762.1, 1015-1017. Link to abstract
  46. Warnaar, J., Bijl, P. K., Huber, M., Sloan, L., Brinkhuis, H., Rohl, U., Sriver, R. L., and Visscher, H. (2009), Orbitally forced climate changes in the Tasman sector during the Middle Eocene, Palaeogeography, Palaeoclimatology, Palaeoecology, 280, 361-370, doi:10.1016/j.palaeo.2009.06.023. Link to abstract
  47. Sriver, R. L., Huber, M., and Nusbaumer, J. (2008), Investigating tropical cyclone-climate feedbacks using the TRMM Microwave Imager and the Quick Scatterometer, Geochemistry, Geophysics, Geosystems, 9, Q09V11, doi:10.1029/2007GC001842. Link to abstractd
  48. Sriver, R. L., and Huber, M. (2007), Observational evidence for an ocean heat pump induced by tropical cyclones,Nature, 447, 577-580, doi:10.1038/nature05785. Link to abstract
  49. Sriver, R. L., and Huber, M. (2007), Reply to comment by R. N. Maue and R. E. Hart on “Low frequency variability in globally integrated tropical cyclone power dissipation”, Geophysical Research Letters, 34, L11704, doi:10.1029/2007GL029413. Link to abstract
  50. Sriver, R. L., and Huber, M. (2006), Low frequency variability in globally integrated tropical cyclone power dissipation,Geophysical Research Letters, 33, L11705, doi:10.1029/2006GL026167. Link to abstract