Climate in Asia and the Pacific: Climate Variability and Change

Author(s):  
Michael James Salinger ◽  
Madan Lall Shrestha ◽  
Ailikun ◽  
Wenjie Dong ◽  
John L. McGregor ◽  
...  
2021 ◽  
Vol 13 (1) ◽  
pp. 159-172
Author(s):  
Lynda E. Chambers ◽  
Roan D. Plotz ◽  
Siosinamele Lui ◽  
Faapisa Aiono ◽  
Tile Tofaeono ◽  
...  

AbstractTraditional calendars document seasonal cycles and the communities’ relationships to their biophysical environment and are often used by communities, particularly subsistence farmers, to synchronize their livelihood activities with the timing of ecological processes. Because the timing of these ecological processes is not always consistent from year to year, the use of traditional seasonal calendars can help communities to cope with climate variability, particularly when biophysical phenomena become less predictable in relation to the Gregorian calendar, as has been observed in relation to climate change. Although the structure and content of seasonal calendars vary across the Pacific Ocean region, for many indigenous communities, knowledge of seasonal calendars can increase their capacity to cope with climate variability and change. To increase the effectiveness of their products and enhance their relevance to and uptake by the community, several Pacific meteorological services are now using traditional seasonal calendars in their climate communication and education, including in forecasts and warnings. The use of a participatory approach resulted in strong relationships and improved dialogues. Local communities appreciated assistance in enabling their knowledge to become available to future generations, and its inclusion in meteorological service products makes these products more accessible and relevant to community members.


Author(s):  
Hassan Moustahfid ◽  
Lisa C. Hendrickson ◽  
Alexander Arkhipkin ◽  
Graham J. Pierce ◽  
Avijit Gangopadhyay ◽  
...  

2021 ◽  
Vol 193 (4) ◽  
Author(s):  
Jennifer Ayamga ◽  
Opoku Pabi ◽  
Barnabas A. Amisigo ◽  
Benedicta Y. Fosu-Mensah ◽  
Samuel Nii Ardey Codjoe

2016 ◽  
Vol 5 (2) ◽  
pp. 41 ◽  
Author(s):  
Emmanuel Nyadzi

<p>The study examines how farmers’ observations of climate variability and change correspond with 42 years (1970-2011) meteorological data of temperature and rainfall. It shows how farmers in the Northern Region of Ghana adjust to the changing climate and explore the various obstacles that hinder the implementation of their adaptation strategies. With the help of an extension officer, 200 farmers from 20 communities were randomly selected based on their farming records. Temperatures over the last four decades (1970-2009) increased at a rate of 0.04 (± 0.41) ˚C and 0.3(± 0.13)˚C from 2010-2011 which is consistent to the farmers (82.5%) observations. Rainfall within the districts are characterised by inter-annual and monthly variability. It experienced an increased rate of 0.66 (± 8.30) mm from 1970-2009, which was inconsistent with the farmers (81.5%) observation. It however decreased from 2010-2011 at a huge rate of -22.49 (±15.90) mm which probably was the reason majority of the respondents claim rainfall was decreasing. Only 64.5% of the respondents had adjusted their farming activities because of climate variability and change. They apply fertilizers and pesticides, practice soil and water conservation, and irrigation for communities close to dams. Respondents desire to continue their current adaptation methods but may in the future consider changing crop variety, water-harvesting techniques, change crop production to livestock keeping, and possibly migrate to urban centers. Lack of climate change education, low access to credit and agricultural inputs are some militating factors crippling the farmers’ effort to adapt to climate change.</p>


Planta ◽  
2021 ◽  
Vol 253 (5) ◽  
Author(s):  
Keerthi Chadalavada ◽  
B. D. Ranjitha Kumari ◽  
T. Senthil Kumar

2012 ◽  
Vol 25 (6) ◽  
pp. 1963-1995 ◽  
Author(s):  
Zhengyu Liu

Abstract The emerging interest in decadal climate prediction highlights the importance of understanding the mechanisms of decadal to interdecadal climate variability. The purpose of this paper is to provide a review of our understanding of interdecadal climate variability in the Pacific and Atlantic Oceans. In particular, the dynamics of interdecadal variability in both oceans will be discussed in a unified framework and in light of historical development. General mechanisms responsible for interdecadal variability, including the role of ocean dynamics, are reviewed first. A hierarchy of increasingly complex paradigms is used to explain variability. This hierarchy ranges from a simple red noise model to a complex stochastically driven coupled ocean–atmosphere mode. The review suggests that stochastic forcing is the major driving mechanism for almost all interdecadal variability, while ocean–atmosphere feedback plays a relatively minor role. Interdecadal variability can be generated independently in the tropics or extratropics, and in the Pacific or Atlantic. In the Pacific, decadal–interdecadal variability is associated with changes in the wind-driven upper-ocean circulation. In the North Atlantic, some of the multidecadal variability is associated with changes in the Atlantic meridional overturning circulation (AMOC). In both the Pacific and Atlantic, the time scale of interdecadal variability seems to be determined mainly by Rossby wave propagation in the extratropics; in the Atlantic, the time scale could also be determined by the advection of the returning branch of AMOC in the Atlantic. One significant advancement of the last two decades is the recognition of the stochastic forcing as the dominant generation mechanism for almost all interdecadal variability. Finally, outstanding issues regarding the cause of interdecadal climate variability are discussed. The mechanism that determines the time scale of each interdecadal mode remains one of the key issues not understood. It is suggested that much further understanding can be gained in the future by performing specifically designed sensitivity experiments in coupled ocean–atmosphere general circulation models, by further analysis of observations and cross-model comparisons, and by combining mechanistic studies with decadal prediction studies.


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