12 citations as recorded by crossref.

1. Estimating changes in temperature extremes from millennial-scale climate simulations using generalized extreme value (GEV) distributions W. Huang et al. https://doi.org/10.5194/ascmo-2-79-2016
2. Modeling Coupled Climate, Ecosystems, and Economic Systems W. Brock & A. Xepapadeas https://doi.org/10.2139/ssrn.2612431
3. An Ensemble Covariance Framework for Quantifying Forced Climate Variability and Its Time of Emergence V. Yettella et al. https://doi.org/10.1175/JCLI-D-17-0719.1
4. Spatio-temporal heterogeneity and changes in extreme precipitation over eastern Himalayan catchments India V. Singh & M. Goyal https://doi.org/10.1007/s00477-016-1350-3
5. Future climate emulations using quantile regressions on large ensembles M. Haugen et al. https://doi.org/10.5194/ascmo-5-37-2019
6. The influence of model resolution on temperature variability J. Klavans et al. https://doi.org/10.1007/s00382-016-3249-6
7. Evaluating trends in time series of distributions: A spatial fingerprint of human effects on climate Y. Chang et al. https://doi.org/10.1016/j.jeconom.2019.05.014
8. Modeling Coupled Climate, Ecosystems, and Economic Systems W. Brock & A. Xepapadeas https://doi.org/10.2139/ssrn.2630974
9. Approximating the Internal Variability of Bias-Corrected Global Temperature Projections with Spatial Stochastic Generators W. Hu & S. Castruccio https://doi.org/10.1175/JCLI-D-21-0083.1
10. Predicting tail risks and the evolution of temperatures A. Phella et al. https://doi.org/10.1016/j.eneco.2023.107286
11. Assessing the reliability of wind power operations under a changing climate with a non-Gaussian bias correction J. Zhang et al. https://doi.org/10.1214/21-AOAS1460
12. Temperatures in transient climates: Improved methods for simulations with evolving temporal covariances A. Poppick et al. https://doi.org/10.1214/16-AOAS903