Volume 132, Number 2, October 2020
|Number of page(s)||7|
|Published online||16 December 2020|
Applications of statistical physics to study climate phenomena and contribute to overall adaptation efforts(a)
Institute for Medical Research, University of Belgrade - Dr Subotica 4, 11000 Belgrade, Serbia and Center for Participatory Science - Pozeska 34, 11000 Belgrade, Serbia
Received: 15 October 2020
Accepted: 2 December 2020
This paper provides a brief review of the interesting physics that arises from the use of detrending methods for time series analysis for the study of phenomena related to problems of adaptation to climate change. It presents illustrative examples of some of the newly developed or already existent methodological solutions that can be used to study climate phenomena, and of three sectors —public health, infrastructure and cultural heritage— where statistical physics tools can be utilized. In the context of adaptation to climate change statistical physics can offer data-led understandings that are of wider value to the scientific community and applicable local-scale insights.
PACS: 05.40.-a – Fluctuation phenomena, random processes, noise, and Brownian motion / 92.60.Ry – Climatology, climate change and variability / 92.70.Mn – Impacts of global change; global warming
© 2020 EPLA
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.