In (climate science) research, there are three basic components associated with the understanding a particular system of interest. First basic component is called “normal” pattern or trend; which is a series of events following a particular trend or pattern that is well known, understood and/or can be represented with high precision and accuracy. Second component is “noise” or outliers; which represents random and less important events existing somewhere in space of region of interest. Often, these events are ignored or neglected. Since they are somehow irrelevant and their absence do not hindered the understanding of system in question. Last component is anomalies; which represent events possessing some of the characteristics of both normal trend and outliers. Anomalies refer to series of events with their trend deviating from normal. Often, the presence of anomalies is due to addition of new element, modification of preexisting elements and/inability to capture all elements and processes in a system.
Scientific analysis could also be referred to as “pursued to pattern determination”. Over the years of scientific data analyses, it became tradition to scientists that there is a pattern almost within every data-sets, which defines the processes or elements interactions of a system. If not, the data represents no natural system, provided the approach of analyzing the data is valid. Thereof, an understanding of data-sets (the system) comes with determination/revelation of patterns. In many occasions, the first priority is to identify or find the “normal” pattern. Once the pattern(s) have been defined (and declared as normal), eliminating the normal pattern from the data-sets reveal the existing anomalies and outliers. It is at that point that shift of interest occur – i.e. from focusing on (finding and understanding) “normal” patterns to finding and understanding anomalies. Commonly, the presence of anomalies highlights the gap(s) or limited understanding of the system. Climate system, for instance, comprises atmosphere, biosphere and hydrosphere. The limited knowledge with regard to each the above spheres presences anomalies (if not noises).
Ideally, if all the anomalies are revealed, understood and well presented, what will then be of interest on system (in climate science research)???
I came to believe that it the presence of anomalies keep keeps the flow of research or makes life interesting…