Kabluchko, Z. M. Schlather and L. de Haan, 2009. Stationary max-stable fields associated to negative definite functions. *Annals of Applied Probability*, **37**, 2042 - 2065, DOI: 10.1214/09-AOP455.

Katz, R. W., M. B. Parlange, and C. Tebaldi, 2003. Stochastic modeling of the effects of large-scale circulation on daily weather in the southeastern U.S. *Climatic Change*, **60**, 189 - 216, DOI: 10.1023/A:1026054330406.

Keef, C., C. Svensson, and J. A. Tawn, 2009. Spatial dependence in extreme river flows and precipitation for Great Britain. *J. Hydrology*, **378** (3 - 4), 240 - 252, DOI: 10.1016/j.jhydrol.2009.09.026.

Keef, C., J. A. Tawn, and R. Lamb, 2013. Estimating the probability of widespread floods. *Environmetrics*, **24** (1), 13 - 21, DOI: 10.1002/env.2190.

Keef, C., J. A. Tawn and C. Svensson, 2009. Spatial risk assessment for extreme river flows. *J. Roy. Stat. Soc. C (Applied Statistics)*, **58** (5), 601 - 618, DOI: 10.1111/j.1467-9876.2009.00672.x.

Koch, E., 2017. Spatial risk measures and applications to max-stable processes. *Extremes*, **20** (3), 635 - 670, DOI: 10.1007/s10687-016-0274-0.

Kottas, A. and B. Sansó, 2007. Bayesian Mixture Modeling for Spatial Poisson Process Intensities, with Applications to Extreme Value Analysis. *Journal of Statistical Planning and Inference*, **137**, pp 3151 - 3163, DOI: 10.1016/j.jspi.2006.05.022.