The distinction of a fluctuation from a long-term change in earth processes is a key question to better understand processes within the Earth and in the Earth-system. Likewise, it is a prerequisite for the assessment of the Earth's climate change as well as risk assessment. This is also relevant in a socio-economic framework such as maintaining drinking water safety and supply. However, to decipher such signals demands long time series of observation, mostly several decades. To detect reliable strain rates of deformation requires a minimum of a decade of continuous data, due to ambient and anthropogenic factors leading to fluctuations. Due to the decadal variability of sea level, reliable trends can only be obtained after about sixty years of continuous observations. Data obtained through such long-term recording are big data, not only because of the high temporal recording rates on the scale of seconds or minutes, but also because analyzing these data sets needs complementary data such as ambient temperature, air pressure and additional weather parameters. Further, data sets need to be processed and cleaned from outliers.
With this international workshop we aim to bring together experts from many fields of geo- and climate sciences with computational and data scientists to discuss novel methods to analyze long-time series of multiple observation records.
We plan for key-notes presentations and contributed talks with ample time for informal discussion. There will be also space for some posters. While key-note talks will be 30 min, contributed presentations should be about 15 min.
As we are happy to have attracted some funding for the workshop, there is no fee to participate in the workshop, however, we ask for a small contribution for coffee and finger food.
- Dr. Roman Leonhardt (Conrad Observatory, ZAMG Vienna, Austria)
- Dr. D. Rebscher (BGR, Hannover, Germany)