Jolliffe, Ian T., and David B. Stephenson, 2012: Forecast Verification: A Practitioner's Guide in Atmospheric Science, Second Edition, John Wiley & Sons.
von Storch, Hans, and Francis W. Zwiers, 1999: Statistical Analysis in Climate Research, Cambridge University Press.
Wilks, Daniel S., 2011: Statistical Methods in the Atmospheric Sciences, Third Edition, Academic Press.


American Statistical Association (ASA) Section on Statistics and the Environment (ENVR)
International Meetings on Statistical Climatology (IMSC)

NCAR Geophysical Statistics Project (GSP)

NCAR Joint Numerical Testbed (JNT)

Statmos: Research Network for Statistical Methods for Atmospheric and Oceanic Sciences

Statistical and Applied Mathematical Sciences Institute (SAMSI)

The International Environmetrics Society (TIES)


The R Project for Statistical Computing

Web page describing various software packages for performing extreme value analysis.

extRemes: R software package for performing extreme value analysis by Eric Gilleland and Rick Katz.

fields: R software package for performing geo-spatial statistical analysis by Doug Nychka et al.

ismev: R software package for performing extreme value analysis ported from S-plus by Alec Stephenson.

MET: Model Evaluation Tools.  Stand-alone software (has several dependencies) for performing weather forecast verification from NCAR's Joint Numerical Testbed in the Research Applications Laboratory.

LatticeKrig: R software package for performing a spatial method for large data sets that builds on compactly supported basis functions, Markov random fields and sparse matrix methods by Doug Nychka et al.

lenns: Lyapunov Exponents fit by Neural Networks by Doug Nychka et al.  Fits nonlinear autoregressive maps to multivariate time series data and estimates global and local Lyapunov Exponents.

nnreg: Neural Networks Package by Doug Nychka et al. Estimates a function using a single hidden layer neural network by nonlinear least squares. The fitting algorithm is both robust and accurate. Has supporting functions for diagnostics, GCV and graphing.

RadioSonde: R software package for making skew-T and wind profile plots by Tim Hoar et al.

SpatialVx: R software package for performing spatial forecast verification methods by Eric Gilleland.

smoothie: R software package for fast computation of two-dimensional kernel smoothing by Eric Gilleland.

spam: R package containing a collection of functions based in R/Fortran for sparse matrix algebra by Reinhard Furrer and Stephan R. Sain.

verification: R software package for performing weather forecast verfication by Matt Pocernich.




New Journal for Advanced Statistical Methodology with Atmospheric and Oceanic Science Applications: Advances in Statistical Climatology, Meteorology and Oceanography (ASCMO)

Rick Katz' web page on Extremes

Reference list for spatial and spatio-temporal extreme value analysis papers

  Reference list for spatial forecast verification methods papers

Mesoscale Verification Intercomparison over Complex Terrain (MesoVICT) Project

Home page for Rick Katz (Probability and Statistics Committee Chair, 2006 - 2009)

Home page for Barb Brown (Probability and Statistics Comittee Chair, 2011 - 2015)

Home page for Eric Gilleland (Probability and Statistics Committee Chair, 2015 - 2018)