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21 changes: 21 additions & 0 deletions LICENSE
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MIT License

Copyright (c) 2021 Christopher Polster, Volkmar Wirth

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
167 changes: 167 additions & 0 deletions Makefile
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# Number of samples for the Monte-Carlo confidence estimation
NSAMPLES := 1000

# How many ensemble members in the sampled ensemble?
SAMPLE_SIZE := 75

# Threshold for the correlation distribution width below which datapoints are
# considered to be statistically significant
SIGNIFICANCE_LEVEL := 0.1

# Determine filename suffix for C-extensions to installed Python
PYEXT := $(shell python3-config --extension-suffix)

# Names of all figures to be plotted
FIGURES := \
figures/forecast-combination.pdf \
figures/event24-reanalysis+nh18fig5.pdf \
figures/event24-plume.pdf \
figures/event24-maps+hovmoeller.pdf \
figures/event24-cluster+scatter.pdf \
figures/event24-maps-separate.pdf \
figures/event24-cluster-f2.pdf \
figures/event24-nh18fig4.pdf


.PHONY: all clean local

all: $(FIGURES)

clean:
rm -f $(FIGURES)
rm -f scripts/common/extensions/*.o
rm -f scripts/common/_*.c
rm -f scripts/common/_*.o
rm -f scripts/common/_*.so
rm -f scripts/hn2016_falwa/*.so


# Python scipts for data processing and plotting, C-extensions

scripts/calculate-lwa.py: scripts/common/regrid.py scripts/hn2016_falwa/oopinterface.py
touch $@

scripts/plot.py: scripts/common/plotting.py scripts/common/esa.py scripts/common/metrics.py scripts/common/texify.py
touch $@

scripts/common/metrics.py: scripts/common/texify.py
touch $@

scripts/common/esa.py: scripts/common/_esa$(PYEXT)
touch $@

scripts/common/regrid.py: scripts/common/_regrid$(PYEXT)
touch $@

scripts/common/_%$(PYEXT): scripts/common/extensions/build_%.py scripts/common/extensions/%.c
python3 $<


# hn2016_falwa package

scripts/hn2016_falwa/oopinterface.py: \
scripts/hn2016_falwa/constant.py \
scripts/hn2016_falwa/utilities.py \
scripts/hn2016_falwa/interpolate_fields$(PYEXT) \
scripts/hn2016_falwa/compute_lwa_and_barotropic_fluxes$(PYEXT) \
scripts/hn2016_falwa/compute_reference_states$(PYEXT)
touch $@

scripts/hn2016_falwa/%$(PYEXT): scripts/hn2016_falwa/%.f90
f2py -c -m $* $<
mv $(notdir $@) scripts/hn2016_falwa



# Data Processing (Part 1):
# Calculating LWA and related quantities with the hn2016_falwa package.

# Write processed data to netcdf files:
event24_ana := data/ERA-2016-12-10-to-2016-12-24-lwa-qg.nc
event24_ens := data/ENS-2016-12-10T00Z-lwa-qg.nc data/ENS-2016-12-10T12Z-lwa-qg.nc data/ENS-2016-12-11T00Z-lwa-qg.nc
# Don't remove these intermediate files
.SECONDARY: $(event24_ana) $(event24_ens)

# Reanalysis data
data/ERA-%-lwa-qg.nc: data/ERA-%-uvt.nc scripts/calculate-lwa.py
python3 -m scripts.calculate-lwa --half-resolution $<

# Ensemble data
data/ENS-%-lwa-qg.nc: scripts/calculate-lwa.py data/IFS-ENS/ENS-%/ENS-*-[uvt].nc
python3 -m scripts.calculate-lwa --half-resolution $(filter-out $<,$^)



# Data Processing (Part 2):
# Analysis and plotting of figures.

# Figure 1: Ensemble combination
figures/forecast-combination.pdf: figures/forecast-combination/forecast-combination.tex
cd $(dir $<) && lualatex $(notdir $<)
mv $(<:.tex=.pdf) $@

# Figure 2: Reanalysis overview
# Figure 3: Ensemble target metric overview
# Figure 4: ESA maps and Hovmöller with full flux
# Figure 5: Cluster and scatter analysis of upstream region
figures/event24-%.pdf: scripts/plot.py $(event24_ana) $(event24_ens)
python3 -m scripts.plot $* 2016-12-18T00,65,10,35,-30 $(event24_ens) \
--reanalysis $(event24_ana) \
--output $@ \
--nsamples $(NSAMPLES) \
--sample-size $(SAMPLE_SIZE) \
--significance-level $(SIGNIFICANCE_LEVEL) \
--delta-hours "0,-24,-48,-72,-96" \
--source "f1+f2+f3" \
--scatter 2016-12-16T00,65,-90,35,-15 \
--hovmoeller-extent "target" \
--end 2016-12-24T00

# Figure 6: ESA maps with flux terms
figures/event24-maps-separate.pdf: figures/event24-maps-separate/event24-maps-separate.tex \
figures/event24-maps-separate/f1f3.pdf figures/event24-maps-separate/f2.pdf
cd $(dir $<) && lualatex $(notdir $<)
mv $(<:.tex=.pdf) $@

figures/event24-maps-separate/f1f3.pdf: scripts/plot.py $(event24_ana) $(event24_ens)
python3 -m scripts.plot maps4 2016-12-18T00,65,10,35,-30 $(event24_ens) \
--reanalysis $(event24_ana) \
--output $@ \
--nsamples $(NSAMPLES) \
--sample-size $(SAMPLE_SIZE) \
--significance-level $(SIGNIFICANCE_LEVEL) \
--delta-hours "24, 0,-24, -48" \
--source "f1+f3" \
--panel-letters "abcd"

figures/event24-maps-separate/f2.pdf: scripts/plot.py $(event24_ana) $(event24_ens)
python3 -m scripts.plot maps4 2016-12-18T00,65,10,35,-30 $(event24_ens) \
--reanalysis $(event24_ana) \
--output $@ \
--nsamples $(NSAMPLES) \
--sample-size $(SAMPLE_SIZE) \
--significance-level $(SIGNIFICANCE_LEVEL) \
--delta-hours "24, 0,-24, -48" \
--source "f2" \
--panel-letters "efgh"

# Figure 7: Cluster analysis of F2 in block
figures/event24-cluster-f2.pdf: scripts/plot.py $(event24_ana) $(event24_ens)
python3 -m scripts.plot cluster 2016-12-18T00,65,10,35,-30 $(event24_ens) \
--reanalysis $(event24_ana) \
--output $@ \
--nsamples $(NSAMPLES) \
--sample-size $(SAMPLE_SIZE) \
--significance-level $(SIGNIFICANCE_LEVEL) \
--source "f2"

# Figure 8: Flux-LWA relationship in block (similar to NH18's Fig. 4)
figures/event24-nh18fig4.pdf: scripts/plot.py $(event24_ana) $(event24_ens)
python3 -m scripts.plot nh18fig4 2016-12-18T00,65,10,35,-30 $(event24_ens) \
--reanalysis $(event24_ana) \
--output $@ \
--nsamples $(NSAMPLES) \
--sample-size $(SAMPLE_SIZE) \
--significance-level $(SIGNIFICANCE_LEVEL) \
--scatter 2016-12-18T00,50,-5,40,-15

78 changes: 78 additions & 0 deletions README.md
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# Block-Dec2016-LWA-ESA

Code to produce all figures of the article **Evidence for a "Traffic Jam" Onset of Blocked Flow from Ensemble Sensitivity Analysis**.

- Research by [Christopher Polster](https://dynmet.ipa.uni-mainz.de/christopher-polster/) and [Volkmar Wirth](https://dynmet.ipa.uni-mainz.de/volkmar-wirth/).
- Software by Christopher Polster.
- [hn2016_falwa](https://github.com/csyhuang/hn2016_falwa/) package by [Clare S. Y. Huang](https://csyhuang.github.io/).

[LICENSE](LICENSE). The contents of `scripts/hn2016_falwa` are re-distributed under the terms of their [LICENSE](scripts/hn2016_falwa/LICENSE.txt).


## 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`](data) directory to obtain the required input data. Before continuing, the `data` folder should look like this:

data
+ IFS-ENS
| + 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
| + job.sh
+ download-ERA5.py
+ ERA-2016-12-10-to-2016-12-24-uvt.nc
+ README.md

### 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`](requirements.txt)
- lualatex with fontspec, amsmath, tikz, graphicx (Fig. 1 and to combine panels for Fig. 6)

### 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-maps+hovmoeller.pdf`
- Fig. 5: `figures/event24-cluster+scatter.pdf`
- Fig. 6: `figures/event24-maps-separate.pdf`
- Fig. 7: `figures/event24-cluster-f2.pdf`
- Fig. 8: `figures/event24-nh18fig4.pdf`, does not contain the fits of [Nakamura and Huang (2018)](https://doi.org/10.1126/science.aat0721) 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](https://www.dfg.de/en/funded_projects/current_projects_programmes/list/projectdetails/index.jsp?id=257899354) "Waves to Weather" funded by the German Science Foundation (DFG). https://www.wavestoweather.de/

118 changes: 118 additions & 0 deletions data/IFS-ENS/job.sh
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#!/bin/bash

# /!\ FIXME marks places where a custom path, etc. must be specified

#SBATCH --qos=normal
# Specifies that your job will run in the queue (Quality Of
# Service) normal, which, if this option is not specified, is
# the default.

#SBATCH --job-name=request-ens
# Assigns the specified name to the request

#SBATCH --output=stdout/request-ens.%j.%N.stdout.log
# Specifies the name and location of STDOUT where %N is the
# node where the job runs and %j the job-id. The file will be
# written in the workdir directory if it is a relative path.
# If not given, the default is slurm-%j.out in the workdir.

#SBATCH --error=stderr/request-ens.%j.%N.stderr.out
# Specifies the name and location of STDERR where %N is the
# node where the job runs and %j the job-id. The file will be
# written in the workdir directory if it is a relative path.
# If not specified, STDERR will be written to the output file
# defined above, or otherwise to slurm-%j.out in the workdir.

#SBATCH --workdir=FIXME
# Sets the working directory of the batch script before it is
# executed.

#SBATCH --mail-type=END
#SBATCH --mail-user=FIXME
# Specifies that an email should be sent in case the job fails.
# Other options include BEGIN, END, REQUEUE and ALL (any state
# change).

# Take time and date from command line
DATE=$1
TIME=$2
if [ -z "$DATE" ] || [ -z "$TIME" ]
then
>&2 echo "Must specify arguments YYYY-MM-DD HH."
exit 1
fi

# Output directory FIXME
TRGD="FIXME/IFS-ENS/ENS-${DATE}T${TIME}Z"
# Output filename prefix
TRGF="${TRGD}/ENS-${DATE}T${TIME}Z-"
# Request file name
RQST="request-ens-${DATE}T${TIME}Z"

mkdir "${TRGD}"

# Wind data on pressure level 400 is not available for older forecasts.
# To avoid the MARS request failing, don't include it in the level list.
# Forecasts earlier than middle of 2008 are missing even more levels
# (I only know that February 2008 has less than September 2008).
if (( "${DATE:0:4}" >= 2010 )); then
LVLS="10/50/100/200/250/300/400/500/700/850/925/1000"
elif (( "${DATE:0:4}" == 2009 || ( "${DATE:0:4}" == 2008 && ( "${DATE:5:1}" == 1 || "${DATE:6:1}" >= 6 ) ) )); then
LVLS="10/50/100/200/250/300/500/700/850/925/1000"
else
LVLS="200/250/300/500/700/850/925/1000"
fi


# 130.128 Temperature
# 131 U-component of wind
# 132 V-component of wind

cat > "${RQST}" <<EOF
retrieve,
class=od,
stream=enfo,
expver=1,
type=pf,
grid=1.0/1.0,
number=1/TO/50,
step=0/TO/288/BY/6,
area=90/-180/0/180,
date=${DATE},
time=${TIME}:00:00,
param=130.128,
levtype=pl,
levelist=${LVLS},
target="${TRGF}t.grb"
retrieve,
param=131,
levtype=pl,
levelist=${LVLS},
target="${TRGF}u.grb"
retrieve,
param=132,
levtype=pl,
levelist=${LVLS},
target="${TRGF}v.grb"
EOF

exitstatus=0

mars "${RQST}"

if [ $? != 0 ]
then
echo " The MARS request failed."
echo
exitstatus=1
fi

# Convert files to NetCDF and remove original GRIB files
GRIBS="${TRGD}/*.grb"
for GRB in ${GRIBS}
do
grib_to_netcdf -u time -o "${GRB%.grb}.nc" "${GRB}" && rm -f "${GRB}"
done

exit "$exitstatus"

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