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Published February 6, 2023 | Version 1.0

Southern Hemisphere Lamb Weather Types from historical GCM experiments and various reanalyses

  • 1. Instituto de Física de Cantabria (IFCA) CSIC-Universidad de Cantabria
  • 2. Meteorology Group, Instituto de Física de Cantabria, Universidad de Cantabria-CSIC, 39005 Santander, Spain
  • 3. Meteorology Group, Dept. of Applied Mathematics and Computer Science, Universidad de Cantabria, 39005 Santander, Spain

Description

This dataset comprises six-hourly Lamb Weather Type (LWT) time series covering the period 1979-2005 for a) historical experiments run with 61 distinct GCMs from CMIP5 and 6 (specified in "get_historical_metadata.py" published at https://doi.org/10.5281/zenodo.4555367) and b) 3 distinct reanalyses (ERA-Interim, JRA-55 and ERA5, the latter extended to 2020). The LWT time series are provided on a 2.5º regular latitude-longitude grid covering the southern hemisphere between 30ºS and 70ºS. The full LWT approach covering 27 classes is applied and the corresponding results for the Northern Hemisphere were stored in a companion dataset at https://doi.org/10.5281/zenodo.4452080. The format of the files is netCDF-4, compressed with the netCDF Kitchen Sink command "ncks -4 -L 1". The Python code used to generate this dataset is available from https://doi.org/10.5281/zenodo.4555367

contact: Swen Brands, brandssf@ifca.unican.es

 

Principal Research Articles, Software and Complementary Datasets Associated with this Dataset

Brands, S. (2022). A circulation-based performance atlas of the CMIP5 and
6 models for regional climate studies in the Northern Hemisphere mid-to-
high latitudes. Geoscientific Model Development, 15 (4), 1375–1411.
doi: https://doi.org/10.5194/gmd-15-1375-2022

Brands, S. (2022). A circulation-based performance atlas of the CMIP5 and 6 mod-
els for regional climate studies in the northern hemisphere [data set]. Zenodo.
doi: https://doi.org/10.5281/zenodo.4452080

Brands, S. (2022). Common error patterns in the regional atmospheric circulation
simulated by the CMIP multi-model ensemble. Geophysical Research Letters,
49 (23), e2022GL101446. doi: https://doi.org/10.1029/2022GL101446

Brands, S. (2022). Python code to calculate Lamb circulation types for the North-
ern Hemisphere derived from historical CMIP simulations and reanalysis data
[code]. Zenodo. doi: https://doi.org/10.5281/zenodo.4555367

Brands, S., Fernández-Granja, J. A., Bedia, J., Casanueva, A., & Fernández,
J. (2023). Auxiliary online material to Brands et al. (2023): A global
climate model performance atlas for the Southern Hemisphere extratrop-
ics based on regional atmospheric circulation patterns. figshare. doi:
https://doi.org/10.6084/m9.figshare.22193443.v1

Brands, S., Fernández-Granja, J. A., Bedia, J., Casanueva, A., & Fernández,
J. (2023b). Southern Hemisphere Lamb Weather Types from historical
GCM experiments and various reanalyses (1.0) [data set]. Zenodo. doi:
https://doi.org/10.5281/zenodo.7612988

Brands, S., Tatebe, H., Danek, C., Fernández, J., Swart, N., Volodin, E., . . . Tong-
wen, W. (2023). GCM metadata archive get historical metadata.py (v1.1).
Zenodo. doi: https://doi.org/10.5281/zenodo.7715383

Fernández-Granja, J. A., Brands, S., Bedia, J., Casanueva, A., & Fernández, J.
(2023). Exploring the limits of the Jenkinson–Collison weather types clas-
sification scheme: a global assessment based on various reanalyses.
Climate Dynamics. doi: 10.1007/s00382-022-06658-7

 

References of the source GCMs and Early References of the Lamb Weather Typing Method

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Additional details

Related works

Is compiled by
Software: 10.5281/zenodo.4555367 (DOI)
Is continued by
Dataset: 10.5281/zenodo.4452080 (DOI)

References

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