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Southern Hemisphere Lamb Weather Types from historical GCM experiments and various reanalyses [version 2.0]

Abstract: 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 "" published at 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 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

Note The file contains all relevant data. Please ignore the separate netCDF files outside this zip file. These are old files that could not be deleted during the update from version 1 to 2 due to technical issues with Zenodo. Historial Version 2 is a major dataset update featuring the following improvements: 1. The attributes from the netCDF source files "" obtained from ESGF were copied into the files available here. These attributes are indicated with the prefix "udata...." (for "underlying data"). 2. All non-standard calenders from the underlying netCDF files from ESGF were converted into standard using the "xarray.Dataset.convert_calendar" function. The original calendar information was stored as additional netCDF attribute. 3. The "patch" method from Python's xesmf module was used to regrid the original psl data from the native GCM grid available from ESGF to the regular lat-lon 2.5° grid common to all applied GCMs and reanalyses. contact: Swen Brands,

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Repository: Zenodo

 Publication date: 27/04/2023

 DOI: 10.5281/zenodo.7872012

 Full citation: Brands, S., Fernández-Granja, J. A., Bedia, J., Casanueva, A. & Fernández, J. (2023). Southern Hemisphere Lamb Weather Types from historical GCM experiments and various reanalyses (Version 2.0). Zenodo.





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