[{"name":"beran-2024-era5-cyclone-tracking-1","title":"Hourly ERA5 cyclone tracking data from 1979\u2060\u200a\u2013\u200a\u20602020 using topological methods","summary":"This dataset contains historical paths of the cyclones produced by using a novel cyclone tracking algorithm. The data consist of cyclone tracks based on global ERA5 data at the spatial\/temporal resolution 0.25\u00b0\/1-hourly, for the years 1979\u2060\u200a\u2013\u200a\u20602020. Data are provided in the form of text files.\r\n\r\nThe data was created in order to provide better representation of multi-centre cyclones, which were previously proven to be difficult to accurately track. It can be used for variety of studies that involve cyclone analysis \u2014 from individual case studies to more broader climatological studies.\r\n\r\nThe data has been generated with TopoTrack, an objective feature tracking code using novel topological methods. The cyclone tracks has a global coverage over the time period and are based on MSLP (mean sea-level pressure) data from the ERA5 reanalysis datasets (the fifth generation ECMWF atmospheric reanalysis of the global climate).\r\n\r\nThe analysis was performed on resources provided by the National Academic Infrastructure for Supercomputing in Sweden (NAISS).","citations":"Engelke W, Masood TB, Beran J, Caballero R, Hotz I (2021) Topology-based feature design and tracking for multi-center cyclones. In: Hotz I, Bin Masood T, Sadlo F, Tierny J (eds) Topological methods in data analysis and visualization VI: Theory, applications, and software. Springer, Cham, pp 71\u2060\u200a\u2013\u200a\u206085. https:\/\/doi.org\/10.1007\/978-3-030-83500-2_5\r\n\r\nNilsson E, Lukasczyk J, Engelke W, Masood TB, Svensson G, Caballero R, Garth C, Hotz I (2022) Exploring Cyclone Evolution with Hierarchical Features. 2022 Topological Data Analysis and Visualization (TopoInVis). Oklahoma City, OK, USA, pp 92\u2060\u200a\u2013\u200a\u2060102, https:\/\/doi.org\/10.1109\/TopoInVis57755.2022.00016\r\n\r\nHanley J, Caballero R (2011) Objective identification and tracking of multicentre cyclones in the ERA\u2010Interim reanalysis dataset. Quart J Royal Meteoro Soc 138:612\u2013625. https:\/\/doi.org\/10.1002\/qj.948","comments":"The dataset was produced based on ERA5 mean sea-level pressure (MSLP) data fields with 1-hourly temporal resolution and 0.25 degrees spatial resolution.\r\n\r\nThe cyclone tracking algorithm, primarily developed by Jakob Beran, uses topological methods ([Engelke et al. 2021](https:\/\/doi.org\/10.1007\/978-3-030-83500-2_5), [Nilsson et al. 2022](https:\/\/doi.org\/10.1109\/TopoInVis57755.2022.00016)) to track cyclones and it has the added benefit of better representing multi-centre cyclones. It extends the work previously done by [Hanley & Caballero (2012)](https:\/\/doi.org\/10.1002\/qj.948).","category":"Atmosphere","subcategory":"Circulation","keywords":"Cyclones; Cyclone tracks; Mid-latitude; Climate; Multi-centre cyclones; MCC; Topology; MSLP data; Global coverage; Spherical grid; ERA5; Reanalysis","scientist":"Jakob Beran, Talha Bin Masood, Wito Engelke, Gunilla Svensson, Rodrigo Caballero, Ingrid  Hotz","firstname":"Jakob","lastname":"Beran","address":"Department of Meteorology (MISU); Stockholm University","postalcode":"SE-106 91","city":"Stockholm","province":"","country":"Sweden","parameters":"Earth science > Atmosphere > Atmospheric pressure > Anticyclones\/cyclones","location":"Geographic Region > Mid-Latitude","progress":"","language":"English","project":"The FlowZoom Project, funded by the Swedish Foundation for Strategic Research (Svensk Strategisk Forskningsfond, SSF) under the grant BD15-0082, In-Situ Big Data Analysis for Flow and Climate Simulations. The data handling was enabled by resources provided by the National Academic Infrastructure for Supercomputing in Sweden (NAISS), partially funded by the Swedish Research Council through grant agreement no. 2022-06725.","publisher":"Bolin Centre Database","version":"1","constrains":"","access":""}]