Decade scale oceanic phenomena like El Ni˜no are correlated with weather anomalies all over the globe. Only by understanding the events that produced the climatic conditions in the past will it be possible to forecast abrupt climate changes and prevent disastrous consequences for human beings and their environment. Paleoceanography research is a collaborative effort that requires the analysis of paleo time-series, which are obtained from a number of independent techniques and instruments and produced by a variety of different researchers and/or laboratories. The complexity of these fenomena that consist of massive, dynamic and often conflicting data can only be faced by means of analytical reasoning supported by a highly interactive visual interface. This paper presents an interactive visual analysis environment for paleoceanography that permits to gain insight into the paleodata and allow the control and steering of the analitycal methods involved in the reconstruction of the climatic conditions of the past.
The tool was presented at the 2006 IEEE Symposium On Visual Analytics Science And Technology,
And you can use the following citation information:
R. Theron, "Visual Analytics of Paleoceanographic Conditions," 2006 IEEE Symposium On Visual Analytics Science And Technology, Baltimore, MD, 2006, pp. 19-26.
You can find further information in my Microsoft eScience workshop 2011 invited talk
Visual Analytics Challenges in Environmental Informatics: The Case of Paleoclimatology