14 citations as recorded by crossref.

1. Future climate emulations using quantile regressions on large ensembles M. Haugen et al. https://doi.org/10.5194/ascmo-5-37-2019
2. Distinguishing Trends and Shifts from Memory in Climate Data C. Beaulieu & R. Killick https://doi.org/10.1175/JCLI-D-17-0863.1
3. Untenable nonstationarity: An assessment of the fitness for purpose of trend tests in hydrology F. Serinaldi et al. https://doi.org/10.1016/j.advwatres.2017.10.015
4. Discussion on “A combined estimate of global temperature” A. Poppick & M. Stein https://doi.org/10.1002/env.2718
5. Estimating Changes in Temperature Distributions in a Large Ensemble of Climate Simulations Using Quantile Regression M. Haugen et al. https://doi.org/10.1175/JCLI-D-17-0782.1
6. Dating hiatuses: a statistical model of the recent slowdown in global warming and the next one J. Miller & K. Nam https://doi.org/10.5194/esd-11-1123-2020
7. Mandelbrot's Stochastic Time Series Models N. Watkins https://doi.org/10.1029/2019EA000598
8. Spatio-Temporal Analysis of Drought Indicated by SPEI over Northeastern China L. Ye et al. https://doi.org/10.3390/w11050908
9. An observation-based scaling model for climate sensitivity estimates and global projections to 2100 R. Hébert et al. https://doi.org/10.1007/s00382-020-05521-x
10. Nonstationary seasonal model for daily mean temperature distribution bridging bulk and tails M. Krock et al. https://doi.org/10.1016/j.wace.2022.100438
11. A recent surge in global warming is not detectable yet C. Beaulieu et al. https://doi.org/10.1038/s43247-024-01711-1
12. Wrestling with Uncertainty in Climate Economic Models W. Brock & L. Hansen https://doi.org/10.2139/ssrn.3008833
13. Compound Droughts and Heat Waves in China L. Ye et al. https://doi.org/10.3390/su11123270
14. A parametric model for distributions with flexible behavior in both tails M. Stein https://doi.org/10.1002/env.2658