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Title: Algorithms for Estimating Trends in Global Temperature Volatility
Trends in terrestrial temperature variability are perhaps more relevant for species viability than trends in mean temperature. In this paper, we develop methodology for estimating such trends using multi-resolution climate data from polar orbiting weather satellites. We derive two novel algorithms for computation that are tailored for dense, gridded observations over both space and time. We evaluate our methods with a simulation that mimics these data’s features and on a large, publicly available, global temperature dataset with the eventual goal of tracking trends in cloud reflectance temperature variability.  more » « less
Award ID(s):
1753171
PAR ID:
10176499
Author(s) / Creator(s):
;
Date Published:
Journal Name:
Proceedings of the AAAI Conference on Artificial Intelligence
Volume:
33
ISSN:
2159-5399
Page Range / eLocation ID:
614 to 621
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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