SAMSI/IMAGe Summer workshop: The International Surface Temperature Initiative

07/08/2014 - 8:00am to 07/16/2014 - 12:45pm
Mesa Laboratory - Main Seminar Room

The development of new approaches to the creation of bias-corrected land surface air temperature datasets has the potential to improve the interpretation of  historical surface temperature observations. This is a problem of high scientific and societal relevance as the temperature record forms a backbone for the scientific characterization of climate variability over the past century. It is also a challenge  that is inherently statistical / mathematical in nature and where input from these communities is of paramount import. This summer program, jointly sponsored by the Statistical and Applied Mathematical Sciences Institute (SAMSI) and by the Institute for Mathematics Applied to Geosciences (IMAGe) at the National Center for Atmospheric Research (NCAR), will bring together experts from the disciplines of climate science, statistics and applied mathematics with the goal of testing, comparing and perhaps extending methods. Applications will be considered from researchers in any of these disciplines, including junior researchers and graduate students.

The program will leverage the framework offered by the International Surface Temperature Initiative ( Improved data holdings of monthly temperatures totaling almost 32,000 station records from around the globe will be provided. The participants will also have available a number of benchmarking datasets that exactly mimic the data availability of the real data holdings and have realistic inter-station noise and variability.

For more information and to participate please visit /event/summerprog.surfacetemps