cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57782/rzm27t/hsqnhr
title: sub-s033_task-audiovisual_run-2_bold.json

description: :unav
DOI: 10.57782/rzm27t/nmam2e
title: sub-s047_task-noisy_run-1_desc-carpet_bold.svg

description: :unav
DOI: 10.57782/rzm27t/3ztb9t
title: sub-s043_task-rest_desc-stdev_bold.svg

description: :unav
DOI: 10.57782/rzm27t/bwibtw
title: sub-s054_task-clean_run-1_desc-mean_bold.svg

description: :unav
DOI: 10.57782/rzm27t/g3qspv
title: sub-s032_task-audiovisual_run-2_desc-mean_bold.svg

description: :unav
DOI: 10.57782/rzm27t/mz0tqk
title: sub-s058_task-rest_desc-carpet_bold.svg

description: :unav
DOI: 10.57782/rzm27t/rprzaw
title: sub-s039_task-noisy_run-1_desc-carpet_bold.svg

description: :unav
DOI: 10.57782/rzm27t/nnrktb
title: sub-s048_task-noisy_run-1_desc-stdev_bold.svg

description: :unav
DOI: 10.57782/rzm27t/qnvudg
title: sub-s047_task-noisy_run-1_desc-stdev_bold.svg

description: :unav
DOI: 10.57782/rzm27t/ibjc2a
title: sub-s053_desc-zoomed_T1w.svg

description: :unav
DOI: 10.57782/rzm27t/ewqvii
title: sub-s057_task-clean_run-2_desc-carpet_bold.svg

description: :unav
DOI: 10.57782/rzm27t/qmmixn
title: sub-s053_task-noisy_run-1_bold.json

description: :unav
DOI: 10.57782/rzm27t/qacmmq
title: sub-s051_task-clean_run-2_desc-mean_bold.svg

description: :unav
DOI: 10.57782/rzm27t/tfewcq
title: sub-s046_task-noisy_run-1_desc-carpet_bold.svg

description: :unav
DOI: 10.57782/rzm27t/yjnwlw
title: sub-s040_task-noisy_run-1_desc-mean_bold.svg

description: :unav
DOI: 10.57782/rzm27t/kopebj
title: sub-s043_task-audiovisual_run-2_bold.json

description: :unav
DOI: 10.57782/rzm27t/iqc1hr
title: sub-s038_task-clean_run-2_bold.json

description: :unav
DOI: 10.57782/rzm27t/tninjh
title: sub-s056_desc-zoomed_T1w.svg

description: :unav
DOI: 10.57782/rzm27t/wwjpul
title: sub-s057_task-noisy_run-1_bold.json

description: :unav
DOI: 10.57782/rzm27t/oviidc
title: sub-s057_task-rest_bold.json

description: :unav
DOI: 10.57782/rzm27t/6n2y1c
title: sub-s048_task-clean_run-1_desc-mean_bold.svg

description: :unav
DOI: 10.57782/rzm27t/mmkups
title: sub-s035_task-clean_run-2_desc-carpet_bold.svg

description: :unav
DOI: 10.57782/rzm27t/bdtess
title: sub-s042_task-rest_bold.json

description: :unav
DOI: 10.57782/rzm27t/ygc7xr
title: sub-s039_task-audiovisual_run-2_desc-carpet_bold.svg

description: :unav
DOI: 10.57782/rzm27t/dbm8rz
title: sub-s052_task-noisy_run-2_desc-carpet_bold.svg

description: :unav
DOI: 10.57782/rzm27t/pyjlbw
title: sub-s056_task-noisy_run-1_desc-stdev_bold.svg

description: :unav
DOI: 10.57782/rzm27t/umfe5q
title: sub-s039_task-clean_run-1_bold.json

description: :unav
DOI: 10.57782/rzm27t/fmsnt3
title: sub-s035_task-noisy_run-1_desc-carpet_bold.svg

description: :unav
DOI: 10.57782/rzm27t/cyhiea
title: sub-s048_task-audiovisual_run-2_desc-stdev_bold.svg

description: :unav
DOI: 10.57782/rzm27t/pjjn8m
title: sub-s054_task-rest_desc-carpet_bold.svg

description: :unav
DOI: 10.57782/rzm27t/rubifj
title: sub-s038_task-rest_desc-mean_bold.svg

description: :unav
DOI: 10.57782/rzm27t/fwjflp
title: sub-s047_task-audiovisual_run-1_bold.json

description: :unav
DOI: 10.57782/rzm27t/qbrcvq
title: sub-s051_task-rest_desc-stdev_bold.svg

description: :unav
DOI: 10.57782/rzm27t/evsl4r
title: sub-s037_task-rest_bold.json

description: :unav
DOI: 10.57782/rzm27t/pgrnwk
title: sub-s039_task-noisy_run-2_desc-carpet_bold.svg

description: :unav
DOI: 10.57782/rzm27t/mkglo6
title: sub-s039_task-audiovisual_run-1_desc-mean_bold.svg

description: :unav
DOI: 10.57782/rzm27t/4tpgkr
title: sub-s046_task-rest_bold.json

description: :unav
DOI: 10.57782/rzm27t/5vboze
title: sub-s033_task-noisy_run-2_bold.json

description: :unav
DOI: 10.57782/rzm27t/owtzg9
title: sub-s042_task-noisy_run-2_bold.json

description: :unav
DOI: 10.57782/rzm27t/arxt3h
title: sub-s053_task-rest_bold.json

description: :unav
DOI: 10.57782/rzm27t/lbbkg9
title: sub-s049_task-clean_run-1_desc-mean_bold.svg

description: :unav
DOI: 10.57782/rzm27t/bxjswd
title: sub-s056_task-clean_run-1_desc-carpet_bold.svg

description: :unav
DOI: 10.57782/rzm27t/fixpdm
title: sub-s033_task-audiovisual_run-1_desc-stdev_bold.svg

description: :unav
DOI: 10.57782/rzm27t/2nwhgb
title: sub-s058_task-clean_run-2_bold.json

description: :unav
DOI: 10.57782/rzm27t/hlbfcg
title: sub-s056_desc-background_T1w.svg

description: :unav
DOI: 10.57782/rzm27t/vgy3rc
title: sub-s033_task-clean_run-1_bold.json

description: :unav
DOI: 10.57782/rzm27t/f0b590
title: sub-s049_task-noisy_run-1_desc-mean_bold.svg

description: :unav
DOI: 10.57782/rzm27t/fcbd85
title: sub-s043_T1w.json

description: :unav
DOI: 10.57782/rzm27t/ztm8xx
title: sub-s050_task-audiovisual_run-2_desc-carpet_bold.svg

description: :unav
DOI: 10.57782/rzm27t/klyjlj
title: sub-s045_task-noisy_run-2_bold.json

description: :unav
DOI: 10.57782/rzm27t/qplox6
title: sub-s032_task-clean_run-2_desc-mean_bold.svg

description: :unav
DOI: 10.15468/dl.ux94xx
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Malaysia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pandanus amaryllifolius Roxb. ex Lindl."
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003423-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57782/rzm27t/wbttlm
title: sub-s044_task-rest_desc-mean_bold.svg

description: :unav
DOI: 10.57782/rzm27t/azbcn6
title: sub-s058_task-clean_run-1_desc-stdev_bold.svg

description: :unav
DOI: 10.57782/rzm27t/oxjwgv
title: sub-s032_task-audiovisual_run-2_desc-carpet_bold.svg

description: :unav
DOI: 10.57782/rzm27t/y1jebt
title: sub-s046_task-rest_desc-stdev_bold.svg

description: :unav
DOI: 10.57782/rzm27t/msg02q
title: sub-s053_task-clean_run-2_desc-stdev_bold.svg

description: :unav
DOI: 10.57782/rzm27t/eiknka
title: sub-s034_T1w.json

description: :unav
DOI: 10.57782/rzm27t/h0vexj
title: sub-s033_task-clean_run-1_desc-mean_bold.svg

description: :unav
DOI: 10.57782/rzm27t/6abrz1
title: sub-s033_task-rest_desc-carpet_bold.svg

description: :unav
DOI: 10.57782/rzm27t/itqzpj
title: sub-s053_task-audiovisual_run-1_bold.json

description: :unav
DOI: 10.57782/rzm27t/tf94lo
title: sub-s057_T1w.json

description: :unav
DOI: 10.57782/rzm27t/zkwv7p
title: sub-s056_task-audiovisual_run-2_desc-mean_bold.svg

description: :unav
DOI: 10.57782/rzm27t/fnkcgp
title: sub-s039_task-clean_run-1_desc-stdev_bold.svg

description: :unav
DOI: 10.57782/rzm27t/olhfpy
title: sub-s036_task-noisy_run-1_desc-stdev_bold.svg

description: :unav
DOI: 10.57782/rzm27t/nhnnny
title: sub-s053_task-clean_run-1_desc-stdev_bold.svg

description: :unav
DOI: 10.57782/rzm27t/to4f6s
title: sub-s036_task-audiovisual_run-1_bold.json

description: :unav
DOI: 10.57782/rzm27t/5155gz
title: sub-s032_desc-zoomed_T1w.svg

description: :unav
DOI: 10.57782/rzm27t/nrexaq
title: sub-s054_task-noisy_run-1_desc-stdev_bold.svg

description: :unav
DOI: 10.57782/rzm27t/pxcl70
title: sub-s056_task-clean_run-2_desc-carpet_bold.svg

description: :unav
DOI: 10.57782/rzm27t/x6e4zf
title: sub-s044_task-noisy_run-2_bold.json

description: :unav
DOI: 10.57782/rzm27t/jxabj2
title: sub-s055_task-audiovisual_run-1_desc-mean_bold.svg

description: :unav
DOI: 10.57782/rzm27t/5sn2wl
title: sub-s051_task-noisy_run-1_desc-stdev_bold.svg

description: :unav
DOI: 10.57782/rzm27t/bkhbbj
title: sub-s058_task-noisy_run-1_desc-mean_bold.svg

description: :unav
DOI: 10.57782/rzm27t/dtlr2p
title: sub-s038_T1w.json

description: :unav
DOI: 10.57782/rzm27t/4caxqn
title: sub-s049_task-rest_desc-mean_bold.svg

description: :unav
DOI: 10.57782/rzm27t/lnleod
title: sub-s040_task-clean_run-1_bold.json

description: :unav
DOI: 10.57782/rzm27t/fvqkts
title: sub-s054_task-audiovisual_run-2_desc-mean_bold.svg

description: :unav
DOI: 10.57782/rzm27t/yabpya
title: sub-s054_task-audiovisual_run-2_bold.json

description: :unav
DOI: 10.57782/rzm27t/0kwotd
title: sub-s053_task-noisy_run-1_desc-stdev_bold.svg

description: :unav
DOI: 10.57782/rzm27t/0owdnm
title: sub-s050_task-audiovisual_run-1_desc-carpet_bold.svg

description: :unav
DOI: 10.57782/rzm27t/wxzahx
title: sub-s054_task-clean_run-2_desc-mean_bold.svg

description: :unav
DOI: 10.57782/rzm27t/lndcap
title: sub-s047_task-audiovisual_run-1_desc-stdev_bold.svg

description: :unav
DOI: 10.57782/rzm27t/tnqips
title: sub-s050_task-rest_bold.json

description: :unav
DOI: 10.57782/rzm27t/mgzupv
title: sub-s042_task-clean_run-2_desc-mean_bold.svg

description: :unav
DOI: 10.57782/rzm27t/psxnsk
title: sub-s033_task-noisy_run-2_desc-stdev_bold.svg

description: :unav
DOI: 10.57782/rzm27t/bxdixs
title: sub-s036_task-rest_desc-carpet_bold.svg

description: :unav
DOI: 10.57782/rzm27t/xxwuuc
title: sub-s052_task-noisy_run-1_desc-stdev_bold.svg

description: :unav
DOI: 10.57782/rzm27t/glshgl
title: sub-s050_task-audiovisual_run-2_bold.json

description: :unav
DOI: 10.57782/rzm27t/xnmypz
title: sub-s050_task-clean_run-1_desc-mean_bold.svg

description: :unav
DOI: 10.57782/rzm27t/izg1l9
title: sub-s054_task-audiovisual_run-1_desc-carpet_bold.svg

description: :unav
DOI: 10.57782/rzm27t/xvisjm
title: sub-s054_task-noisy_run-2_bold.json

description: :unav
DOI: 10.57782/rzm27t/msp3o2
title: sub-s037_task-noisy_run-1_bold.json

description: :unav
DOI: 10.57782/rzm27t/zfv48b
title: sub-s038_task-rest_bold.json

description: :unav
DOI: 10.57782/rzm27t/is8shh
title: sub-s052_task-audiovisual_run-1_desc-mean_bold.svg

description: :unav
DOI: 10.57782/rzm27t/gmavx7
title: sub-s055_task-clean_run-2_bold.json

description: :unav
DOI: 10.57782/rzm27t/scyukg
title: sub-s048_desc-zoomed_T1w.svg

description: :unav
DOI: 10.57782/rzm27t/4f7y6h
title: sub-s052_task-audiovisual_run-2_desc-mean_bold.svg

description: :unav
DOI: 10.57782/rzm27t/ooizod
title: sub-s033_task-clean_run-1_desc-stdev_bold.svg

description: :unav
DOI: 10.57782/rzm27t/o6p5op
title: sub-s050_task-clean_run-2_desc-stdev_bold.svg

description: :unav
DOI: 10.57782/rzm27t/p0dpnk
title: sub-s048_task-audiovisual_run-2_desc-carpet_bold.svg

description: :unav
DOI: 10.57782/rzm27t/ebbhuu
title: sub-s053_task-noisy_run-2_desc-stdev_bold.svg

description: :unav
DOI: 10.57782/rzm27t/rjlekj
title: sub-s046_task-clean_run-2_desc-stdev_bold.svg

description: :unav
DOI: 10.15468/dl.h9f42c
title: Occurrence Download

description: A dataset containing 4786 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei)",
 "OccurrenceStatus is Present",
 "TaxonKey is Oxalis corniculata L.",
 "Year 2001-2024"
 ]
}

 The dataset includes 4786 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003424-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57782/rzm27t/a8lvrk
title: sub-s056_task-noisy_run-2_desc-stdev_bold.svg

description: :unav
DOI: 10.57782/rzm27t/gxcona
title: sub-s036_task-audiovisual_run-1_desc-mean_bold.svg

description: :unav
DOI: 10.57782/rzm27t/m8lfcc
title: sub-s045_task-clean_run-1_desc-mean_bold.svg

description: :unav
DOI: 10.57782/rzm27t/gbqcch
title: sub-s047_task-noisy_run-2_desc-mean_bold.svg

description: :unav
DOI: 10.57782/rzm27t/w4zqno
title: sub-s050_task-rest_desc-carpet_bold.svg

description: :unav
DOI: 10.57782/rzm27t/zuv9jx
title: sub-s034_task-audiovisual_run-2_bold.json

description: :unav
DOI: 10.57782/rzm27t/l6o8fc
title: sub-s036_task-audiovisual_run-1_desc-stdev_bold.svg

description: :unav
DOI: 10.57782/rzm27t/twztuf
title: sub-s048_task-audiovisual_run-1_desc-carpet_bold.svg

description: :unav
DOI: 10.57782/rzm27t/xnyqsj
title: sub-s036_task-rest_desc-stdev_bold.svg

description: :unav
DOI: 10.57782/rzm27t/4ddg3y
title: sub-s032_task-audiovisual_run-1_desc-mean_bold.svg

description: :unav
DOI: 10.57782/rzm27t/yphfuq
title: sub-s047_task-audiovisual_run-2_bold.json

description: :unav
DOI: 10.5281/zenodo.11356004
title: Data archive for paper "Energy and environmental impacts of air-to-air heat pumps in a mid-latitude city"

description: Overview

This is the data archive for paper "Energy and environmental impacts of air-to-air heat pumps in a mid-latitude city". It contains the paper's data archive with model outputs (see notebooks folder) and the Singularity image for (optionally) re-running experiments.

For the standalone models to model air conditioners and heat pumps please refer to MinimalDX.

Prerequisites



Linux with Bash shell.

Git version >= 2.

Singularity version >= 3.

Portable Batch System*.

Intel Fortran Compiler [Required for MesoNH simulations].

A compatible version of the MPI library implementation version 3 [Required for MesoNH simulations].


Please note that most steps require Singularity. If you are looking for information on how to install or use Singularity, please refer to the Singularity documentation. Please note that depending on your specific system settings and resource availability, you may need to modify PBS parameters at the top of submit scripts stored in the hpc directory.

Simulations

Offline



Build Surfex with qsub hpc/surfex_build.pbs.

Run scenarios with the following commands:

 qsub -v case_name=fincap hpc/surfex_run.pbs
 qsub -v case_name=fincap_extended_autosize hpc/surfex_run.pbs
 qsub -v case_name=minidx_cop=2.5 hpc/surfex_run.pbs
 qsub -v case_name=minidx_cop=3.0 hpc/surfex_run.pbs
 qsub -v case_name=minidx_cop=3.5 hpc/surfex_run.pbs
 qsub -v case_name=minidx_cop=4.0 hpc/surfex_run.pbs qsub -v case_name=minidx_cop=4.5 hpc/surfex_run.pbs




Online

To run MesoNH simulations, follow the three steps outlined below in the same order. Note: Depending on your system and configuration, submit scripts may require change.



Build MesoNH with qsub hpc/build_mnh_intel.pbs.

Run the preprocessing step with qsub hpc/submit_mnh_prep.pbs.

Finally run MesoNH cases with the following commands for fincap and minidx simulations respectively:

 hpc/submit_mnh.sh fincap 20050120 12 1 toulouse
 hpc/submit_mnh.sh minidx 20050120 12 1 toulouse



Post-process the results with qsub hpc/submit_mnh_post.pbs


Analyses

qsub hpc/postprocess_results.pbs # Plots in notebooks/
DOI: 10.57782/rzm27t/nzjhix
title: sub-s035_task-noisy_run-2_desc-stdev_bold.svg

description: :unav
DOI: 10.57782/rzm27t/xi3kde
title: sub-s040_T1w.json

description: :unav
DOI: 10.5281/zenodo.10783593
title: Data archive for paper "Energy and environmental impacts of air-to-air heat pumps in a mid-latitude city"

description: Overview

This is the data archive for paper "Energy and environmental impacts of air-to-air heat pumps in a mid-latitude city". It contains the paper's data archive with model outputs (see notebooks folder) and the Singularity image for (optionally) re-running experiments.

For the standalone models to model air conditioners and heat pumps please refer to MinimalDX.

Prerequisites



Linux with Bash shell.

Git version >= 2.

Singularity version >= 3.

Portable Batch System*.

Intel Fortran Compiler [Required for MesoNH simulations].

A compatible version of the MPI library implementation version 3 [Required for MesoNH simulations].


Please note that most steps require Singularity. If you are looking for information on how to install or use Singularity, please refer to the Singularity documentation. Please note that depending on your specific system settings and resource availability, you may need to modify PBS parameters at the top of submit scripts stored in the hpc directory.

Simulations

Offline



Build Surfex with qsub hpc/surfex_build.pbs.

Run scenarios with the following commands:

 qsub -v case_name=fincap hpc/surfex_run.pbs
 qsub -v case_name=fincap_extended_autosize hpc/surfex_run.pbs
 qsub -v case_name=minidx_cop=2.5 hpc/surfex_run.pbs
 qsub -v case_name=minidx_cop=3.0 hpc/surfex_run.pbs
 qsub -v case_name=minidx_cop=3.5 hpc/surfex_run.pbs
 qsub -v case_name=minidx_cop=4.0 hpc/surfex_run.pbs qsub -v case_name=minidx_cop=4.5 hpc/surfex_run.pbs




Online

To run MesoNH simulations, follow the three steps outlined below in the same order. Note: Depending on your system and configuration, submit scripts may require change.



Build MesoNH with qsub hpc/build_mnh_intel.pbs.

Run the preprocessing step with qsub hpc/submit_mnh_prep.pbs.

Finally run MesoNH cases with the following commands for fincap and minidx simulations respectively:

 hpc/submit_mnh.sh fincap 20050120 12 1 toulouse
 hpc/submit_mnh.sh minidx 20050120 12 1 toulouse



Post-process the results with qsub hpc/submit_mnh_post.pbs


Analyses

qsub hpc/postprocess_results.pbs # Plots in notebooks/
DOI: 10.5281/zenodo.4009382
title: Data archive for paper "Energy and environmental impacts of air-to-air heat pumps in a mid-latitude city"

description: Overview

This is the data archive for paper "Energy and environmental impacts of air-to-air heat pumps in a mid-latitude city". It contains the paper's data archive with model outputs (see notebooks folder) and the Singularity image for (optionally) re-running experiments.

For the standalone models to model air conditioners and heat pumps please refer to MinimalDX.

Prerequisites



Linux with Bash shell.

Git version >= 2.

Singularity version >= 3.

Portable Batch System*.

Intel Fortran Compiler [Required for MesoNH simulations].

A compatible version of the MPI library implementation version 3 [Required for MesoNH simulations].


Please note that most steps require Singularity. If you are looking for information on how to install or use Singularity, please refer to the Singularity documentation. Please note that depending on your specific system settings and resource availability, you may need to modify PBS parameters at the top of submit scripts stored in the hpc directory.

Simulations

Offline



Build Surfex with qsub hpc/surfex_build.pbs.

Run scenarios with the following commands:

 qsub -v case_name=fincap hpc/surfex_run.pbs
 qsub -v case_name=fincap_extended_autosize hpc/surfex_run.pbs
 qsub -v case_name=minidx_cop=2.5 hpc/surfex_run.pbs
 qsub -v case_name=minidx_cop=3.0 hpc/surfex_run.pbs
 qsub -v case_name=minidx_cop=3.5 hpc/surfex_run.pbs
 qsub -v case_name=minidx_cop=4.0 hpc/surfex_run.pbs qsub -v case_name=minidx_cop=4.5 hpc/surfex_run.pbs




Online

To run MesoNH simulations, follow the three steps outlined below in the same order. Note: Depending on your system and configuration, submit scripts may require change.



Build MesoNH with qsub hpc/build_mnh_intel.pbs.

Run the preprocessing step with qsub hpc/submit_mnh_prep.pbs.

Finally run MesoNH cases with the following commands for fincap and minidx simulations respectively:

 hpc/submit_mnh.sh fincap 20050120 12 1 toulouse
 hpc/submit_mnh.sh minidx 20050120 12 1 toulouse



Post-process the results with qsub hpc/submit_mnh_post.pbs


Analyses

qsub hpc/postprocess_results.pbs # Plots in notebooks/
DOI: 10.5281/zenodo.4009383
title: Data archive for paper "Impact of Air-to-Air Heat Pumps on Energy and Climate in a Mid-Latitude City"

description: <strong>Overview</strong> This is the data archive for paper "Impact of Air-to-Air Heat Pumps on Energy and Climate in a Mid-Latitude City". It contains the paper's data archive with model outputs (see <code>notebooks</code> folder) and the Singularity image for (optionally) re-running experiments. For the standalone models to model air conditioners and heat pumps please refer to MinimalDX. <strong>Prerequisites</strong> Linux with Bash shell. Git version &gt;= 2. Singularity version &gt;= 3. Portable Batch System*. Intel Fortran Compiler [<em>Required for MesoNH simulations</em>]. A compatible version of the MPI library implementation version 3 [<em>Required for MesoNH simulations</em>]. Please note that most steps require Singularity. If you are looking for information on how to install or use Singularity, please refer to the Singularity documentation. Please note that depending on your specific system settings and resource availability, you may need to modify PBS parameters at the top of submit scripts stored in the hpc directory. <strong>Simulations</strong> <em><strong>Offline</strong></em> Build Surfex with <code>qsub hpc/surfex_build.pbs</code>. Run scenarios with the following commands: <pre><code> qsub -v case_name=fincap hpc/surfex_run.pbs qsub -v case_name=fincap_extended_autosize hpc/surfex_run.pbs qsub -v case_name=minidx_cop=2.0 hpc/surfex_run.pbs qsub -v case_name=minidx_cop=2.5 hpc/surfex_run.pbs qsub -v case_name=minidx_cop=3.0 hpc/surfex_run.pbs qsub -v case_name=minidx_cop=3.5 hpc/surfex_run.pbs </code></pre> <em><strong>Online</strong></em> To run MesoNH simulations, follow the three steps outlined below in the same order. Note: Depending on your system and configuration, submit scripts may require change. Build MesoNH with <code>qsub hpc/build_mnh_intel.pbs</code>. Run the preprocessing step with <code>qsub hpc/submit_mnh_prep.pbs</code>. Finally run MesoNH cases with the following commands for <code>fincap</code> and <code>minidx</code> simulations respectively: <pre><code> hpc/submit_mnh.sh fincap 20050120 12 1 toulouse hpc/submit_mnh.sh minidx 20050120 12 1 toulouse </code></pre> Post-process the results with <code>qsub hpc/submit_mnh_post.pbs</code> <strong>Analyses</strong> <pre><code>qsub hpc/postprocess_results.pbs # Plots in notebooks/ </code></pre>
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