MethanePlumeBank: Synthetic Methane Plume Bank from WRF-LES Simulations
Synthetic methane plume bank generated from WRF-LES 4.7.0 atmospheric simulations (Gorroño et al., Zenodo doi:10.5281/zenodo.18161182). Contains 1,064,448 ΔXCH4 maps [mol/mol] at 20m resolution spanning 11 wind speeds, 12 wind directions, 9 multisource and 5 areasource plume geometries, 3 temporal snapshots, 8 Solar Zenith Angles, and 24 Solar Azimuth Angles. All plumes are normalized to a reference emission rate of 3000 kg/h and scale linearly. Intended for synthetic data augmentation in satellite-based methane plume detection models.
Version : 2.0.0
License : CC-BY-4.0
Keywords : methane, plume-detection, synthetic-data, WRF-LES, Sentinel-2, Landsat, EMIT, remote-sensing, earth-observation, data-augmentation, greenhouse-gas
Tasks : regression, segmentation
Dataset Overview
Partitions : 8 files
Spatial coverage : [-180.00, -90.00, 180.00, 90.00] (WGS84)
Root : FILE (1,064,448 samples)
LEVEL0
Usage
Python
1 # pip install tacoreader
2 import tacoreader
3
4 ds = tacoreader.load( "methane-plume-bank.tacozip" )
5 print ( f "ID: { ds.id } " )
6 print ( f "Version: { ds.version } " )
7 print ( f "Samples: {len (ds.data) } " )
1 # pip install tacoreader
2 import tacoreader
3
4 ds = tacoreader.load( "methane-plume-bank.tacozip" )
5 print ( f "ID: { ds.id } " )
6 print ( f "Version: { ds.version } " )
7 print ( f "Samples: {len (ds.data) } " )
R
1 # Coming soon: R support is planned but not yet available
2 # install.packages("tacoreader")
3 library (tacoreader)
4
5 ds <- load_taco ( "methane-plume-bank.tacozip" )
6 cat ( sprintf ( "ID: %s \n " , ds $ id))
7 cat ( sprintf ( "Version: %s \n " , ds $ version))
8 cat ( sprintf ( "Samples: %d \n " , nrow (ds $ data)))
1 # Coming soon: R support is planned but not yet available
2 # install.packages("tacoreader")
3 library (tacoreader)
4
5 ds <- load_taco ( "methane-plume-bank.tacozip" )
6 cat ( sprintf ( "ID: %s \n " , ds $ id))
7 cat ( sprintf ( "Version: %s \n " , ds $ version))
8 cat ( sprintf ( "Samples: %d \n " , nrow (ds $ data)))
Julia
1 # Coming soon: Julia support is planned but not yet available
2 # using Pkg; Pkg.add("TacoReader")
3 using TacoReader
4
5 ds = load_taco ( "methane-plume-bank.tacozip" )
6 println ( "ID: " , ds . id)
7 println ( "Version: " , ds . version)
8 println ( "Samples: " , size (ds . data, 1 ))
1 # Coming soon: Julia support is planned but not yet available
2 # using Pkg; Pkg.add("TacoReader")
3 using TacoReader
4
5 ds = load_taco ( "methane-plume-bank.tacozip" )
6 println ( "ID: " , ds . id)
7 println ( "Version: " , ds . version)
8 println ( "Samples: " , size (ds . data, 1 ))
Data Providers
Image and Signal Processing Group (ISP-UV) — producer
LARS-UPV — producer
Dataset Curators
Publications & Citations
If you use this dataset in your research, please cite:
DOI : 10.5281/zenodo.18161182
Gorroño, J., Pei, Z., & Guanter, L. (2025). Benchmark simulations for methane emissions validation and sensitivity studies. Zenodo.
Source WRF-LES simulations used to generate the plume bank.
DOI : 10.5194/egusphere-2025-4924
Gorroño, J., et al. (2025). Considering the observation and illumination angular configuration for improved methane detection. EGUsphere.
Describes the parallax correction methodology applied during projection.
BibTeX
1 @dataset { methane-plume-bank2 ,
2 title = {MethanePlumeBank: Synthetic Methane Plume Bank from WRF-LES Simulations},
3 author = {Cesar Aybar},
4 year = {2024},
5 version = {2.0.0},
6 publisher = {Image and Signal Processing Group, University of Valencia}
7 }
1 @dataset { methane-plume-bank2 ,
2 title = {MethanePlumeBank: Synthetic Methane Plume Bank from WRF-LES Simulations},
3 author = {Cesar Aybar},
4 year = {2024},
5 version = {2.0.0},
6 publisher = {Image and Signal Processing Group, University of Valencia}
7 }
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