ABSTRACT
Our research focuses on the detection of ocean carbon uptake regimes that are critical in the context of comprehending climate change. One observation among geoscientific data in Earth System Sciences is that the datasets often contain local and distinct statistical distributions posing a major challenge in applying clustering algorithms for data analysis. The use of global parameters in many clustering algorithms is often inadequate to capture such local distributions. In this study, we propose a novel tool to detect and visualize oceanic carbon uptake clusters. We implement a distance-variance selection method (augmented by BIC scores) on agglomerative hierarchical clustering constructed upon a regional multivariate linear regression model set. Instead of relying on a global distance, users can select the local distance and variance thresholds on our tool to detect the connections on the dendrograms that stand as potential clusters by considering both compactness and similarity.
- Leo Breiman. 2001. Random forests. Machine learning 45 (2001), 5–32.Google Scholar
- Chia-Te Chien 2022. FOCI-MOPS v1–Integration of Marine Biogeochemistry within the Flexible Ocean and Climate Infrastructure version 1 (FOCI 1) Earth system model. Geoscientific Model Development Discussions (2022).Google Scholar
- Nelson Tavares de Sousa, Carola Trahms, 2022. Tracking the Evolution of Water Flow Patterns Based on Spatio-Temporal Particle Flow Clusters. In 2022 23rd MDM. IEEE, 246–253.Google Scholar
- Bradley Efron. 1992. Bootstrap methods: another look at the jackknife. Springer.Google Scholar
- A. R. Fay and G. A. McKinley. 2014. Global open-ocean biomes: mean and temporal variability. EARTH SYSTEM SCIENCE DATA 6, 2 (2014), 273–284.Google ScholarCross Ref
- Madec Gurvan, Romain Bourdallé-Badie, 2022. NEMO ocean engine.Google Scholar
- Alan R Longhurst. 2007. Toward an ecological geography of the sea. Ecological Geography of the Sea, Academic Press, San Diego (2007), 1–17.Google Scholar
- H. Costa Marcos 2021. IPCC, 2021 Chapter 5: Global Carbon and Other Biogeochemical Cycles and Feedbacks. (2021).Google Scholar
- Valerie Masson-Delmotte, Panmao Zhai, 2021. Climate change 2021: the physical science basis. 2 (2021).Google Scholar
- Matthew J Oliver and Andrew J Irwin. 2008. Objective global ocean biogeographic provinces. (2008).Google Scholar
- Gabriel Reygondeau, William WL Cheung, 2020. Climate change-induced emergence of novel biogeochemical provinces. Frontiers in Marine Science 7 (2020), 657.Google ScholarCross Ref
- Gabriel Reygondeau, Alan Longhurst, 2013. Dynamic biogeochemical provinces in the global ocean. Global Biogeochemical Cycles 27, 4 (2013), 1046–1058.Google ScholarCross Ref
- Jorge L Sarmiento. 2013. Ocean biogeochemical dynamics. In Ocean Biogeochemical Dynamics.Google Scholar
- Maike Sonnewald, Stephanie Dutkiewicz, 2020. Elucidating ecological complexity: Unsupervised learning determines global marine eco-provinces. (2020).Google Scholar
- Xu Teng, Adam Corpstein, Holm, 2021. CACSE: Context Aware Clustering of Stellar Evolution. In 17th SSTD. 157–160.Google Scholar
- Andreas Tritsarolis 2021. MaSEC: Discovering Anchorages and Co-movement Patterns on Streaming Vessel Trajectories. In 17th SSTD. 170–173.Google Scholar
Index Terms
- Interactive Detection and Visualization of Ocean Carbon Regimes
Recommendations
Optimal Parallel Algorithms for Dendrogram Computation and Single-Linkage Clustering
SPAA '24: Proceedings of the 36th ACM Symposium on Parallelism in Algorithms and ArchitecturesComputing a Single-Linkage Dendrogram (SLD) is a key step in the classic single-linkage hierarchical clustering algorithm. Given an input edge-weighted tree T, the SLD of T is a binary dendrogram that summarizes the n-1 clusterings obtained by ...
Comparison of hierarchical clustering methods for binary data from molecular markers
Data from molecular markers used for constructing dendrograms, which are based on genetic distances between different plant species, are encoded as binary data. For dendrograms' construction, the most commonly used linkage method is the UPGMA in ...
Interactive visualization of Regional Ocean Modeling System
GVE '07: Proceedings of the IASTED International Conference on Graphics and Visualization in EngineeringThis paper presents techniques for interactive visualization of the Regional Ocean Modeling System (ROMS), a free-surface, terrain-following coordinate ocean circulation model. We have designed an interactive visualization program that allows a casual ...
Comments