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Robust Causal Inference for Irregularly Sampled Time Series: Applications in Climate and Paleoclimate Data Analysis
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SYSNO ASEP 0558291 Document Type A - Abstract R&D Document Type O - Ostatní Title Robust Causal Inference for Irregularly Sampled Time Series: Applications in Climate and Paleoclimate Data Analysis Author(s) Kathpalia, Aditi (UIVT-O) RID, ORCID, SAI
Manshour, Pouya (UIVT-O) ORCID, RID, SAI
Paluš, Milan (UIVT-O) RID, SAI, ORCIDNumber of authors 3 Source Title EGU General Assembly 2022. - Göttingen : European Geosciences Union, 2022 Number of pages 2 s. Action EGU General Assembly 2022 Event date 23.05.2022 - 27.05.2022 VEvent location Vienna / Online Country AT - Austria Event type WRD Language eng - English Country DE - Germany Keywords causality ; compression complexity ; ordina patterns ; Irregularly Sampled Time Series ; paleoclimatology OECD category Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8) R&D Projects GA19-16066S GA ČR - Czech Science Foundation (CSF) Institutional support UIVT-O - RVO:67985807 Annotation To predict and determine the major drivers of climate has become even more important now as climate change poses a big challenge to humankind and our planet earth. Different studies employ either correlation, causality methods or modelling approaches to study the interaction between climate and climate forcing variables (anthropogenic or natural). This includes the study of interaction between global surface temperatures and CO2 rainfall in different locations and El Niño–Southern Oscillation (ENSO) phenomena. The results produced by different studies have been found to be different and debatable, presenting an ambiguous situation. In this work, we develop and apply a novel robust causality estimation technique for time-series data (to estimate causal influence between given observables), that can help to resolve the ambiguity Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2023 Electronic address https://meetingorganizer.copernicus.org/EGU22/EGU22-4795.html
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