Mesoscale convective system tracks, diagnosed from European 2.2km climate model simulations
收藏DataCite Commons2023-12-05 更新2025-04-16 收录
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https://catalogue.ceda.ac.uk/uuid/f39f0aa295304d55beeb0a850760b061
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资源简介:
This dataset contains mesoscale convective systems (MCS) tracks and their summary statistics, diagnosed from the UK Met Office (UKMO) Unified Model and ETH-Zurich (ETHZ) COSMO 2.2km Europe-wide convection permitting model simulations. The simulations are described in Berthou et al (2020) and Brogli et al (2022); they include two ECMWF Interim hindcast simulations (one from each model), two GCM-driven simulations (UM-only, present-climate and end-of-century RCP8.5), and one pseudo-global warming simulation (COSMO-only, end-of-century RCP8.5). The tracks are diagnosed using the DYMECS tracking scheme (Stein et al 2014 and Crook et al 2019). The tracking scheme detects all precipitation objects, but only mesoscale convection systems (MCSs) are sub-selected for analysis; MCSs are defined to be tracks with lifetime peak precipitation exceeding 20 mm/h and lifetime peak area exceeding 1000 squared kilometres. Data are in csv files, and are Python and R readable. These data were produced for the NERC-supported FUTURE-STORMS project (grant number: NE/R01079X/1); the underlying climate simulations were produced for the EU Horizon 2020 project European Climate Prediction System (EUCP) project (grant: 776613).
提供机构:
NERC EDS Centre for Environmental Data Analysis
创建时间:
2022-12-06



