Articles | Volume 16, issue 3
https://doi.org/10.5194/gmd-16-851-2023
https://doi.org/10.5194/gmd-16-851-2023
Methods for assessment of models
 | 
03 Feb 2023
Methods for assessment of models |  | 03 Feb 2023

Cell tracking of convective rainfall: sensitivity of climate-change signal to tracking algorithm and cell definition (Cell-TAO v1.0)

Edmund P. Meredith, Uwe Ulbrich, and Henning W. Rust

Data sets

Pseudo global-warming simulations with COSMO-CLM of a period of high convective activity over Germany E. P. Meredith, U. Ulbrich, and H. W. Rust https://www.wdc-climate.de/ui/entry?acronym=DKRZ_LTA_1152_ds00302

The ERA-Interim reanalysis: configuration and performance of the data assimilation system (https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era-interim) D. P. Dee, S. M. Uppala, A. J. Simmons, P. Berrisford, P. Poli, S. Kobayashi, U. Andrae, M. A. Balmaseda, G. Balsamo, P. Bauer, P. Bechtold, A. C. M. Beljaars, L. van de Berg, J. Bidlot, N. Bormann, C. Delsol, R. Dragani, M. Fuentes, A. J. Geer, L. Haimberger, S. B. Healy, H. Hersbach, E. V. Hólm, L. Isaksen, P. Kållberg, M. Köhler, M. Matricardi, A. P. McNally, B. M. Monge-Sanz, J.-J. Morcrette, B.-K. Park, C. Peubey, P. de Rosnay, C. Tavolato, J.-N. Thépaut, and F. Vitart https://doi.org/10.1002/qj.828

The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2) (https://gmao.gsfc.nasa.gov/reanalysis/MERRA-2/) R. Gelaro, W. McCarty, M. J. Suárez, R. Todling, A. Molod, L. Takacs, C. A. Randles, A. Darmenov, M. G. Bosilovich, R. Reichle, K. Wargan, L. Coy, R. Cullather, C. Draper, S. Akella, V. Buchard, A. Conaty, A. M. da Silva, W. Gu, G.-K. Kim, R. Koster, R. Lucchesi, D. Merkova, J. E. Nielsen, G. Partyka, S. Pawson, W. Putman, M. Rienecker, S. D. Schubert, M. Sienkiewicz, and B. Zhao https://doi.org/10.1175/JCLI-D-16-0758.1

Model code and software

Code and data from "Cell tracking of convective rainfall: sensitivity of climate-change signal to tracking algorithm and cell definition (Cell-TAO v1.0)" E. P. Meredith, U. Ulbrich, and H. W. Rust https://doi.org/10.5281/zenodo.6977074

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Short summary
Cell-tracking algorithms allow for the study of properties of a convective cell across its lifetime and, in particular, how these respond to climate change. We investigated whether the design of the algorithm can affect the magnitude of the climate-change signal. The algorithm's criteria for identifying a cell were found to have a strong impact on the warming response. The sensitivity of the warming response to different algorithm settings and cell types should thus be fully explored.