STATMOS Logo

Data and code

Reading Variables from netCDF Files

Scientific data are commonly stored in netCDF format. Dorit Hammerling and Doug Nychka at NCAR developed a webpage to read netcdf files based on a request from a STATMOS annual meeting. Please follow the link for more information and code to read in netcdf files.

R code and Matlab code


Uncertainty in ranking the hottest years of US surface temperatures

by Peter Guttorp and Tae Yen Kim, Journal of Climate, 2013

download data (txt)


STATISTICAL PREDICTION OF GLOBAL SEA LEVEL FROM GLOBAL TEMPERATURE

by David Bolin, Peter Guttorp, Alex Januzzi, Dan Jones, Marie Novak, Harry Podschwit, Lee Richardson, Aila Särkkä, Colin Sowder and Aaron Zimmerman. To appear, Statistica Sinica, 2014

R code and data


Assessing the uncertainty in projecting local mean sea level from global temperature

by Peter Guttorp, David Bolin, Alex Januzzi, Marie Novak, Harry Podschwit, Lee Richardson, Aila Särkkä, Colin Sowder and Aaron Zimmerman. Revised for Journal of Applied Climatology and Meteorology, 2014

R code and data.

An Example code for Habana, Cuba.

The required data set (siboney.txt) is used in the code. Updated January 21, 2014.


How well do climate models agree with temperature data?

by Peter Guttorp and Amy L. Marsha

R code and data Description

R code and data

Supplementary Material