BALTEX Phase II 2003 â 2012. Science Framework and ...
BALTEX Phase II 2003 â 2012. Science Framework and ...
BALTEX Phase II 2003 â 2012. Science Framework and ...
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
<strong>BALTEX</strong> <strong>Phase</strong> <strong>II</strong> <strong>Science</strong> <strong>Framework</strong> <strong>and</strong> Implementation Strategy 29<br />
A central concept is that of detection <strong>and</strong> attribution. The former is the identification of phenomena<br />
beyond the range of undisturbed conditions. The latter concerns the causal linkage of such phenomena<br />
to driving factors, including the anthropogenic ones.<br />
Detection cannot be made relative to an absolute reference state, to which a change would be<br />
contrasted. As no such period is available (i.e., a period that we would know was not affected by any<br />
evolving external factor), detection should be attempted in relative terms, with respect to some chosen<br />
reference period. In such a case, attribution studies could be designed in terms of incremental changes<br />
in possible forcing factors. Obviously, the definition <strong>and</strong> characterization of the reference period needs<br />
careful consideration. A practical choice might be the Climate Normal Period 1961-1990. Detection<br />
should be a multi-parameter exercise, including a variety of statistical parameters, aspects like time<br />
rates of changes, <strong>and</strong> others. Identification of such forcing factors that drive compensating changes is<br />
an additional dimension of the work, as is checking for consistency in found phenomena across the<br />
different components <strong>and</strong> aspects of the global <strong>and</strong> regional climate system. The choice of parameters<br />
<strong>and</strong> processes relevant for detection studies should be guided by three main considerations: (i) chance<br />
of detection (guidance from theory, past analogues <strong>and</strong> climate change projections), (ii) stakeholder<br />
relevance <strong>and</strong> (iii) the likelihood of identification of the most likely underlying causes.<br />
Given success in the detection studies, attribution can follow to attempt a quantification <strong>and</strong> separation<br />
between different forcing factors. Sensitivity studies should be used to explore the different response<br />
characteristics of the elements of the Baltic Sea basin system to potential forcing factors. This<br />
knowledge is then used to determine the most likely combination of causes that can be attributed to the<br />
observed variability <strong>and</strong> change. Coupled to this is the question of how much the climate system of the<br />
<strong>BALTEX</strong> region is forced from the region itself, <strong>and</strong> how much is imported from outside the region.<br />
Fig. 2.1 Ice break-up dates of the Tornionjoki river (Northern Finl<strong>and</strong>) from 1693 until 2005 (by courtesy of<br />
Raino Heino, FMI).<br />
2.2.2. Projections of Future Climate Variability <strong>and</strong> Change<br />
• To develop projections of future climate variability <strong>and</strong> change, by means of sensitivity<br />
analyses <strong>and</strong> model studies.<br />
In the construction of future regional projections <strong>and</strong> scenarios, the following three components should<br />
be accounted for: i) unforced or natural variability of the global <strong>and</strong> the regional system, ii)<br />
anthropogenically driven modifications of the global system (in terms of, e.g., air temperature, sea<br />
level <strong>and</strong> circulation patterns), <strong>and</strong> iii) regional forcing scenarios for l<strong>and</strong> <strong>and</strong> water use, the release of