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Block-Dec2016-LWA-ESA

Polster, C., and V. Wirth, 2023: The Onset of a Blocking Event as a “Traffic Jam”: Characterization with Ensemble Sensitivity Analysis. J. Atmos. Sci., 80, 1681–1699, https://dx.doi.org/10.1175/JAS-D-21-0312.1.

This repository contains the code to produce all figures of the article.

LICENSE. The contents of scripts/hn2016_falwa are re-distributed under the terms of their LICENSE.

DOI

How To Run

Clone this repository:

$ git clone https://github.com/wavestoweather/Block-Dec2016-LWA-ESA.git

Data Preparation

Use the scripts and instructions in the data directory to obtain the required input data. Before continuing, the data folder should look like this:

data
+ IFS-ENS
| + ENS-2016-12-09T12Z
| | + ENS-2016-12-09T12Z-t.nc
| | + ENS-2016-12-09T12Z-u.nc
| | + ENS-2016-12-09T12Z-v.nc
| + ENS-2016-12-10T00Z
| | + ENS-2016-12-10T00Z-t.nc
| | + ENS-2016-12-10T00Z-u.nc
| | + ENS-2016-12-10T00Z-v.nc
| + ENS-2016-12-10T12Z
| | + ENS-2016-12-10T12Z-t.nc
| | + ENS-2016-12-10T12Z-u.nc
| | + ENS-2016-12-10T12Z-v.nc
| + ENS-2016-12-11T00Z
| | + ENS-2016-12-11T00Z-t.nc
| | + ENS-2016-12-11T00Z-u.nc
| | + ENS-2016-12-11T00Z-v.nc
| + EVAL
| | + ENS-DEC18-EVAL-2016-12-08T00Z.nc
| | + ENS-DEC18-EVAL-2016-12-08T12Z.nc
| | + ...
| | + ENS-DEC18-EVAL-2016-12-18T00Z.nc
| | + eval-requests.py
| | + eval-submit
| | + eval-to-netcdf
| + job.sh
+ download-ERA5.py
+ ERA-2016-12-10-to-2016-12-24-uvt.nc
+ README.md

Note that while the analysis and plots are based on 2° data, 1° data is obtained by the provided download scripts. Input data is coarsened during processing (--half-resolution parameter of scripts.calculate-lwa).

Software Requirements

The following software needs to be available to run the data processing and plotting scripts:

  • make
  • Fortran compiler (for building the hn2016_falwa Python extensions)
  • C compiler with OpenMP (for building Python extensions)
  • Python 3 with packages listed in requirements.txt (the specified minumum versions were used during development, older versions may or may not work)
  • lualatex with fontspec, amsmath, tikz, graphicx (Fig. 1 and to combine panels for Fig. 8)

Data Analysis and Plots

Run

$ make

from the top-level of the repository. This will compile the Python extensions, compute the intermediate PV, LWA and flux fields and create all plots. Use --dry-run to check the sequence of commands to be executed by make first. Use -jN to run N jobs in parallel if you have sufficient CPU and memory resources to do so.

Output

Figures will appear in the figures directory:

  • Fig. 1: figures/forecast-combination.pdf
  • Fig. 2: figures/event24-reanalysis+nh18fig5.pdf
  • Fig. 3: figures/event24-plume.pdf
  • Fig. 4: figures/event24-budget.pdf
  • Fig. 5: figures/event24-evaluation.pdf
  • Fig. 6: figures/idealized.pdf
  • Fig. 7: figures/event24-maps+hovmoeller.pdf
  • Fig. 8: figures/event24-cluster+scatter.pdf
  • Fig. 9: figures/event24-maps-separate.pdf
  • Fig. 10: figures/event24-cluster-f2.pdf
  • Fig. 11: figures/event24-nh18fig4.pdf, does not contain the fits of Nakamura and Huang (2018) due to licensing restrictions

Because the statistical significance test is based on a randomized procedure, results may vary slightly each time the plots are created.

Acknowledgements

This research project has been carried out within the Transregional Collaborative Research Center SFB/TRR 165 "Waves to Weather" funded by the German Science Foundation (DFG). https://www.wavestoweather.de/