A PRELIMINARY INVESTIGATION ON CHANGING TEMPERATURE MAXIMA-MINIMA DEVIATION (TMIN-MAX DEVIATION) IN INDONESIA

https://doi.org/10.22146/ijg.2297

Djoko Harmantyo(1*)

(1) 
(*) Corresponding Author

Abstract


While the immediate impacts of climate change have been widely discussed,
there are only few researches on climate change revealing its effect to temperature
amplitude. Changing temperature amplitude will hamper metabolism process,
which in turn will decrease productivity and, even, cause the extinction of certain
organism species. This research will expose the changing temperature amplitude (Tminmax)
including its trend pattern in Indonesia. The adoption of trend analysis method
and comparison analysis to the values of temperature amplitude in 60 AWS station
from 1980-2007 indicates upward trend of annual mean temperature with shorter
temperature amplitude. This shorter temperature amplitude is characterized by
annual mean temperature maxima increase less than the rise of annual mean
temperature minima. Data analysis finds indication, i.e. the more eastward direction, the
greater difference of average Tmin-max deviation. Yet, this research fails to show what
factors contributing to the changing temperature amplitude. More in-depth research
of these factors at ecological scale will be necessary as crucial part in determining
adaptation programs to this on-going climate change phenomenon.


Keywords


climate change, temperature amplitude, Tmin-max

Full Text:

PDF



DOI: https://doi.org/10.22146/ijg.2297

Article Metrics

Abstract views : 1288 | views : 1068

Refbacks

  • There are currently no refbacks.




Copyright (c) 1970 Indonesian Journal of Geography

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Accredited Journal, Based on Decree of the Minister of Research, Technology and Higher Education, Republic of Indonesia Number 225/E/KPT/2022, Vol 54 No 1 the Year 2022 - Vol 58 No 2 the Year 2026 (accreditation certificate download)

ISSN 2354-9114 (online), ISSN 0024-9521 (print)

Web
Analytics IJG STATISTIC