1. Home
    2.  » Publication
  1. Cheng, L., AghaKouchak, A., Gilleland, E., Katz, R., 2014, Non-stationary Extreme Value Analysis in a Changing Climate, Climatic Change, 127, 353-369, doi: https://doi.org/10.1007/s10584-014-1254-5
  2. Cheng, L., AghaKouchak, A., 2014, Nonstationary Precipitation Intensity-Duration-Frequency Curves for Infrastructure Design in a Changing Climate, Scientific Reports, 4, 7093, doi: https://doi.org/10.1038/srep07093
  3. Cheng, L., Gilleland, E., Heaton, M., AghaKouchak, A., 2014, Empirical Bayes estimation for the conditional extreme value model, Stat, 3, 391-406, doi: https://doi.org/10.1002/sta4.71
  4. AghaKouchak, A.,Cheng, L., Mazdiyasni, O., Farahmand, A., 2014, Global Warming and Changes in Risk of Concurrent Climate Extremes: Insights from the 2014 California Drought, Geophysical Research Letters, 41, 8847-8852, doi: https://doi.org/10.1002/2014GL062308
  5. Cheng, L., AghaKouchak, A., 2015, A Methodology for Deriving Climate Response from Multimodel Ensemble Climate Simulations, Journal of Hydrology, 522, 49-57, doi: https://doi.org/10.1016/j.jhydrol.2014.12.025
  6. Cheng, L., AghaKouchak, A., Phillips, T., 2015, Non-stationary Return Levels of Monthly Temperature Extremes based on CMIP5 Multi-Model Simulations, Climate Dynamics, 44, 2947-2963, doi: https://doi.org/10.1007/s00382-015-2625-y
  7. Nasrollahi, N., AghaKouchak, A., Cheng, L., Damberg, L., Phillips, T., Miao, C., Hsu, K., and Sorooshian, S., 2015, How Well Do CMIP5 Climate Simulations Replicate Historical Trends and Patterns of Meteorological Droughts? Water Resources Research, 51, 2847-2864, doi: https://doi.org/10.1002/2014WR016318
  8. Cheng, L., Hoerling, M., AghaKouchak, A., Livneh, B., Quan, X., Eischeid, J., 2016, How Has Human-induced Climate Change Affected California Drought Risk? Journal of Climate,1, 111-120, doi: https://doi.org/10.1175/JCLI-D-15-0260.1
  9. Hoerling, M., Eischeid, J., Perlwitz, J., Quan, X., Wolter, K., Cheng, L., 2016, Characterizing Recent Trends in U.S. Heavy Precipitation, Journal of Climate, 29, 2313-2332, doi: https://doi.org/10.1175/JCLI-D-15-0441.1
  10. Hoell, A., Hoerling, M., Eischeid, J., Wolter, K., Dole, R., Perlwitz, J., Xu, T., Cheng, L., 2016, Does El Nino Intensity Matter for California Precipitation, Geophysical Research Letters, 43, 819-825, doi: https://doi.org/10.1002/2015GL067102
  11. Madadgar, S.,AghaKouchak, A., Shukla, S., Wood, A., Cheng, L., Hsu, K., Svoboda, M., 2016, A hybrid statistical-dynamical drought prediction framework: application to the southwestern U.S., Water Resources Research,52, 5095-5110, doi: https://doi.org/10.1002/2015WR018547
  12. Bracken, C., Rajagopalan, B., Cheng, L., Kleiber, W., Gangopadhyay, S., 2016, Spatial Bayesian hierarchical modeling of precipitation extremes over a large domain, Water Resources Research, 52, 6643-6655, doi: https://doi.org/10.1002/2016WR018768
  13. Wolter, K., Hoerling, M., Eischeid, J., Cheng, L., 2016, What History Tells Us About 2015 US Daily Rainfall Extremes, [in “Explaining Extremes of 2015 from a Climate Perspective”], Bulletin of the American Meteorological Society, 97, S9-S13, doi: https://doi.org/1175/BAMS-D-16-0166.1
  14. Hoell, A., Cheng, L., 2017, Austral Summer Southern Africa Precipitation Extremes Forced by the El Niño-Southern Oscillation and the Subtropical Indian Ocean Dipole, Climate Dynamics, 1-18, doi: https://doi.org/10.1007/s00382-017-3801-z
  15. Newman, M., Wittenberg, A., Cheng, L., Compo, G.P., Smith, C., 2017, The Extreme 2015/2016 El Niño, in the Context of Historical Climate Variability and Change, Bulletin of the American Meteorological Society, doi: https://doi.org/10.1175/BAMS-D-17-0116.1
  16. Zhang, T., Hoerling, M., Wolter, K., Eischeid, J., Cheng, L., Hoell, A., Perlwitz, J., Quan X., Barsugli, J., 2017, Predictability and Prediction of Southern California Rains during strong El Niños: A Focus on the Failed 2016 Winter Rains, Journal of Climate, doi: https://doi.org/10.1175/JCLI-D-17-0396.1
  17. Cheng, L., Hoerling, M., Smith, L., Eischeid, J., 2017, Diagnosing Human-Induced Dynamic and Thermodynamic Drivers of Extreme Rainfall, Journal of Climate, doi: https://doi.org/10.1175/JCLI-D-16-0919.1
  18. Liu, Z.,Cheng, L.*, Hao, Z., Li, J., Thorstensen, A., Gao, H., 2018, A Framework for Exploring Joint Effects of Conditional Factors on Compound Floods,Water Resources Research, doi: https://doi.org/10.1002/2017WR021662
  19. Ragno, E., AghaKouchak, A., Love, C., Cheng, L., Vahedifard, F., Lima, C., 2018, Quantifying Climate Change Impacts on the Intensity-Duration-Frequency of Extreme Precipitation across the United States, Water Resources Research, doi: https://doi.org/10.1002/2017WR021975
  20. Cheng, L., Hoerling, M., Liu, Z., Eischeid, J., 2019, Physical understanding of human-induced changes in U.S. hot droughts using equilibrium climate simulations, Journal of Climate (in press)
  21. Chen, L., Chen, X., Cheng,,Zhou, P., Liu, Z., 2019, Compound hot droughts over China: identification, risk patterns and variations, Atmospheric Research (in press)
  22. Deng, C., Zhang, B., Cheng, L., Hu, L., Chen, F., 2019, Vegetation Dynamics and their Effects on Surface Water-Energy Balance in the Three-North Region of China, Agricultural and Forest Meteorology (in press)