Front and skeleton features based methods for tracking salinity propagation in the ocean
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[1]
Afzal S., Ghani S., Tissington G., Langodan S., Dasari H.P., Raitsos D., Gittings J., Jamil T., Srinivasan M., Hoteit I., RedSeaAtlas: A visual analytics tool for spatio-temporal multivariate data of the red sea, in: Workshop on Visualization in Environmental Sciences, EnvirVis, 2019, pp. 25–32,.
[2]
Agarwal T., Chattopadhyay A., Natarajan V., Topological feature search in time-varying multifield data, 2019, CoRR abs/1911.00687 URL: http://arxiv.org/abs/1911.00687 [arXiv:1911.00687].
[3]
Ahrens J., Geveci B., Law C., Paraview: An end-user tool for large data visualization, The Visualization Handbook, Elsevier München, 2005.
[4]
Artal O., Sepúlveda H.H., Mery D., Pieringer C., Detecting and characterizing upwelling filaments in a numerical ocean model, Comput. Geosci. 122 (2019) 25–34.
[5]
Behara A., Vinayachandran P., An OGCM study of the impact of rain and river water forcing on the Bay of Bengal, J. Geophys. Res. Oceans 121 (4) (2016) 2425–2446.
[6]
Berglund S., Döös K., Nycander J., Lagrangian tracing of the water–mass transformations in the atlantic ocean, Tellus A 69 (2017),.
[7]
Bremer P., Weber G., Pascucci V., Day M., Bell J., Analyzing and tracking burning structures in lean premixed Hydrogen flames, IEEE Trans. Vis. Comput. Graphics 16 (2) (2010) 248–260,.
[8]
Cormen T.H., Leiserson C.E., Rivest R.L., Stein C., Introduction to Algorithms, Third Edition, third ed., The MIT Press, 2009.
[9]
Dickson R.R., Brown J., The production of north atlantic deep water: Sources, rates, and pathways, J. Geophys. Res. Oceans 99 (C6) (1994) 12319–12341,. URL: https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/94JC00530.
[10]
Doraiswamy H., Natarajan V., Nanjundiah R.S., An exploration framework to identify and track movement of cloud systems, IEEE Trans. Vis. Comput. Graphics 19 (12) (2013) 2896–2905,.
[11]
Du Z., Fang L., Bai Y., Zhang F., Liu R., Spatio-temporal visualization of air–sea CO2 flux and carbon budget using volume rendering, Comput. Geosci. 77 (2015) 77–86.
[12]
Fan-Yin Tzeng Z., Kwan-Liu Ma L., Intelligent feature extraction and tracking for visualizing large-scale 4D flow simulations, in: SC ’05: Proceedings of the 2005 ACM/IEEE Conference on Supercomputing, 2005, p. 6,.
[13]
Gad M.A., Elshehaly M.H., Gračanin D., Elmongui H.G., A tracking analyst for large 3D spatiotemporal data from multiple sources (case study: Tracking volcanic eruptions in the atmosphere), Comput. Geosci. 111 (2018) 283–293.
[14]
George J.V., Vinayachandran P.N., Vijith V., Thushara V., Nayak A.A., Pargaonkar S.M., Amol P., Vijaykumar K., Matthews A.J., Mechanisms of barrier layer formation and erosion from in situ observations in the Bay of Bengal, J. Phys. Oceanogr. 49 (5) (2019) 1183–1200,. URL: https://journals.ametsoc.org/view/journals/phoc/49/5/jpo-d-18-0204.1.xml.
[15]
Han Y., Wagner R.A., An efficient and fast parallel-connected component algorithm, J. ACM 37 (3) (1990) 626–642,. URL: https://doi.org/10.1145/79147.214077.
[16]
Li W., Chen G., Kong Q., Wang Z., Qian C., A VR-ocean system for interactive geospatial analysis and 4D visualization of the marine environment around Antarctica, Comput. Geosci. 37 (11) (2011) 1743–1751.
[17]
Liu S., Chen G., Yao S., Tian F., Liu W., A framework for interactive visual analysis of heterogeneous marine data in an integrated problem solving environment, Comput. Geosci. 104 (2017) 20–28.
[18]
Lukasczyk J., Garth C., Weber G.H., Biedert T., Maciejewski R., Leitte H., Dynamic nested tracking graphs, IEEE Trans. Vis. Comput. Graphics 26 (1) (2020) 249–258,.
[19]
Madec G., NEMO Ocean Engine, Note du Pôle de modélisation, Institut Pierre-Simon Laplace (IPSL), France, 2008, No 27, ISSN No 1288-1619.
[20]
NASA, ., 2021. Visible Earth : A catalog of NASA images and animations of our home planet URL: https://visibleearth.nasa.gov/collection/1484/blue-marble.
[21]
Nascimento S., Franco P., Sousa F., Dias J., Neves F., Automated computational delimitation of SST upwelling areas using fuzzy clustering, Comput. Geosci. 43 (2012) 207–216.
[22]
Pandey K., Monteiro J.M., Natarajan V., An integrated geometric and topological approach for the identification and visual analysis of Rossby wave packets, Mon. Weather Rev. 148 (8) (2020) 3139–3155,. URL: https://journals.ametsoc.org/view/journals/mwre/148/8/mwrD200014.xml.
[23]
Post F.H., Vrolijk B., Hauser H., Laramee R.S., Doleisch H., The state of the art in flow visualisation: Feature extraction and tracking, Comput. Graph. Forum 22 (4) (2003) 775–792.
[24]
Rath S., Vinayachandran P., Behara A., Neema C., Dynamics of summer monsoon current around Sri Lanka, Ocean Dyn. 69 (10) (2019) 1133–1154.
[25]
Richardson P., Bower A., Zenk W., A census of Meddies tracked by floats, Prog. Oceanogr. 45 (2) (2000) 209–250,. URL: https://www.sciencedirect.com/science/article/pii/S0079661199000531.
[26]
Rieck B., Sadlo F., Leitte H., Persistence concepts for 2D skeleton evolution analysis, in: Topological Methods in Data Analysis and Visualization, Springer, 2017, pp. 139–154.
[27]
Sanchez-Franks A., Webber B.G.M., King B.A., Vinayachandran P.N., Matthews A.J., Sheehan P.M.F., Behara A., Neema C.P., The railroad switch effect of seasonally reversing currents on the Bay of Bengal high-salinity core, Geophys. Res. Lett. 46 (11) (2019) 6005–6014,. URL: https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2019GL082208.
[28]
Sasamal S., High saline waters in bay of bengal, Proc. Indian Acad. Sci. Earth Planet. Sci. 99 (3) (1990) 367–381.
[29]
Sato, M., Bitter, I., Bender, M.A., Kaufman, A.E., Nakajima, M., 2000. TEASAR: Tree-structure extraction algorithm for accurate and robust skeletons. In; Proc. Pacific Conf. Computer Graphics and Applications, pp. 281–449.
[30]
Schulzweida U., CDO user guide, 2019,.
[31]
Shenoi S.S.C., Shankar D., Shetye S.R., Differences in heat budgets of the near-surface arabian sea and Bay of Bengal: Implications for the summer monsoon, J. Geophys. Res. Oceans 107 (C6) (2002),. URL: https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2000JC000679.
[32]
Talley L., Pickard G., Emery W., Swift J., Descriptive physical oceanography: An introduction: Sixth edition, Descriptive Physical Oceanography: An Introduction: Sixth Edition (2011) 1–555.
[33]
Valsangkar A.A., Monteiro J.M., Narayanan V., Hotz I., Natarajan V., An exploratory framework for Cyclone identification and tracking, IEEE Trans. Vis. Comput. Graphics 25 (3) (2019) 1460–1473,.
[34]
Vinayachandran P., Masumoto Y., Mikawa T., Yamagata T., Intrusion of the southwest monsoon current into the Bay of Bengal, J. Geophys. Res. Oceans 104 (C5) (1999) 11077–11085.
[35]
Vinayachandran P., Matthews A.J., Kumar K.V., Sanchez-Franks A., Thushara V., George J., Vijith V., Webber B.G., Queste B.Y., Roy R., et al., BoBBLE: Ocean–atmosphere interaction and its impact on the South Asian monsoon, Bull. Am. Meteorol. Soc. 99 (8) (2018) 1569–1587.
[36]
Vinayachandran P.N., Shankar D., Vernekar S., Sandeep K.K., Amol P., Neema C.P., Chatterjee A., A summer monsoon pump to keep the Bay of Bengal salty, Geophys. Res. Lett. 40 (9) (2013) 1777–1782,. URL: https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1002/grl.50274.
[37]
Vinayachandran P., Yamagata T., Monsoon response of the sea around Sri Lanka: generation of thermal domes and anticyclonic vortices, J. Phys. Oceanogr. 28 (10) (1998) 1946–1960.
[38]
Webber B.G., Matthews A.J., Vinayachandran P., Neema C., Sanchez-Franks A., Vijith V., Amol P., Baranowski D.B., The dynamics of the southwest monsoon current in 2016 from high-resolution in situ observations and models, J. Phys. Oceanogr. 48 (10) (2018) 2259–2282.
[39]
Widanagamaachchi W., Christensen C., Pascucci V., Bremer P., Interactive exploration of large-scale time-varying data using dynamic tracking graphs, in: IEEE Symp. Large Data Analysis and Visualization, LDAV, 2012, pp. 9–17,.
[40]
Xie C., Li M., Wang H., Dong J., A survey on visual analysis of ocean data, Vis. Inf. 3 (3) (2019) 113–128.
[41]
Ye Y.C., Wang Y., Miller R., Ma K., Ono K., In situ depth maps based feature extraction and tracking, in: IEEE Symp. Large Data Analysis and Visualization, LDAV, 2015, pp. 1–8,.
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Published: 01 February 2022
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