Problems with analysing meteorological data for assessing climate change: examples from Bangladesh

Climate is not changing uniformly within geographical regions, and long-term changes can be cyclical or irregular in some regions. The latter means that the standard statistical methods for analysing meteorological data that produce linear outputs can give misleading trends, with consequent misleadi...

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Bibliographic Details
Published inInternational journal of environmental studies Vol. 77; no. 6; pp. 905 - 915
Main Author Brammer, Hugh
Format Journal Article
LanguageEnglish
Published New York Routledge 01.11.2020
Gordon and Breach Science Publishers
Subjects
Bangladesh
Climate change
climate model
Climate models
cyclone frequency
Data analysis
Economic models
Environmental assessment
Environmental science
Environmental studies
flood frequency
Meteorological data
Statistical methods
Trends
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Summary:Climate is not changing uniformly within geographical regions, and long-term changes can be cyclical or irregular in some regions. The latter means that the standard statistical methods for analysing meteorological data that produce linear outputs can give misleading trends, with consequent misleading environmental and socio-economic outputs of models using such trends as inputs. Additionally, national and regional climate trends do not necessarily match international climate model outputs, so the latter need to be tested for relevance before being used in national or regional environment-related studies.
ISSN:0020-7233
1029-0400
DOI:10.1080/00207233.2020.1848763