JSM 2015 Preliminary Program

Online Program Home
My Program

Abstract Details

Activity Number: 32
Type: Contributed
Date/Time: Sunday, August 9, 2015 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics and the Environment
Abstract #316433
Title: Quantifying Distributional Changes Daily Surface Temperature Observations
Author(s): Martin Tingley*
Companies:
Keywords: Quantile regression ; surface temepratures ; climate change ; climate extremes
Abstract:

Characterizing how the magnitude and frequency of extreme climate events are changing, and will continue to change due to anthropogenic forcing of the climate system, is currently a major challenge for the climate sciences. While the current warming trend is certainly contributing to the recent increase in warm temperature extremes and decrease in cold extremes, far less is understood about the contribution of possible changes in the variability about the central tendency. These issues are explored via a quantile regression analysis of daily maximum and minimum temperature observations from over 3000 North American weather stations, allowing trends in the center of the temperature distribution to be disentangled from trends in other aspects of the distribution. Data reduction strategies are then discussed, with a focus on quantifying departures of the intercept quantile functions from normality, and departures of the slope quantile functions from linear transformations of normally distributed variables.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2015 program





For program information, contact the JSM Registration Department or phone (888) 231-3473.

For Professional Development information, contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

2015 JSM Online Program Home