# For installation, please follow guidelines in https://gitlab.in2p3.fr/ForMaTer/gaia-data/use-case-volcan/so2-tropomi
from so2_tropomi import *
from so2_flux_calculator.command_line import read_mass_from_csv, read_cf_from_csvEstimate SO2 flux emitted by Piton de la Fournaise volcano
using Sentinel-5P TROPOMI data
This notebook demonstrates how to estimate SO2 (sulfur dioxide) flux emitted by Piton de la Fournaise volcano, using SO2 mass burdens from Sentinel-5P TROPOMI imagery.
Mass burdens are extracted the VolcPlume portal (https://www.icare.univ-lille.fr/volcplume), and results are stored on the EaSy Data repository (https://doi.org/10.57932/235f8c42-142b-40ee-9948-518e83554a7d).
The notebook shows how mass can be converted to SO2 flux using the method described in Grandin et al. (2024).
Reference (JGR-Solid Earth)
Grandin, R., Boichu, M., Mathurin, T., & Pascal, N. (2024).
Automatic estimation of daily volcanic sulfur dioxide gas flux from TROPOMI satellite observations: Application to Etna and Piton de la Fournaise.
Journal of Geophysical Research: Solid Earth, 129(6), e2024JB029309.
https://doi.org/10.1029/2024JB029309
Algorithm source (ICARE GitLab)
https://git.icare.univ-lille.fr/icare-public/so2-flux-calculator
Dataset (EaSy Data repository)
Grandin, R., Boichu, M., Mathurin, T., & Pascal, N. (2024b).
Sulfur Dioxide emissions from Etna and Piton de la Fournaise volcanoes (2021-2023) from Sentinel-5P/TROPOMI [Dataset].
https://doi.org/10.57932/235f8c42-142b-40ee-9948-518e83554a7d
VolcPlume portal
Boichu, M and Mathurin, T (2022)
“VOLCPLUME, an interactive web portal for the multiscale analysis of volcanic plume physico-chemical properties.”.
[Interactive Web based Ressource]
Direct access: https://www.icare.univ-lille.fr/volcplume
https://doi.org/10.25326/362
Import packages
Search for product in Easy Data repository
Setup search API
EASY_DATA_API_URL="https://www.easydata.earth/api/csw"Search product and dataset using bounding box
string_search = "Piton de la Fournaise"
bbox = "151.09596,-33.609279,151.336939,-33.479914"
request_url = EASY_DATA_API_URL + "?REQUEST=GetRecords&SERVICE=CSW&VERSION=2.0.2&namespace=xmlns(csw=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2F2.0.2)&OUTPUTSCHEMA=http://www.isotc211.org/2005/gmd&constraintLanguage=CQL_TEXT&constraint_language_version=1.1.0&constraint=csw:title+LIKE+'" + string_search + "'&typeNames=csw:Record&resultType=results&ElementSetName=brief"
request_url"https://www.easydata.earth/api/csw?REQUEST=GetRecords&SERVICE=CSW&VERSION=2.0.2&namespace=xmlns(csw=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2F2.0.2)&OUTPUTSCHEMA=http://www.isotc211.org/2005/gmd&constraintLanguage=CQL_TEXT&constraint_language_version=1.1.0&constraint=csw:title+LIKE+'Piton de la Fournaise'&typeNames=csw:Record&resultType=results&ElementSetName=brief"r = requests.get(request_url, allow_redirects=True, headers=headers)#.json()#['data']
root = ET.fromstring(r.text)
ET.dump(root)<ns0:GetRecordsResponse xmlns:ns0="http://www.opengis.net/cat/csw/2.0.2" xmlns:ns2="http://www.isotc211.org/2005/gmd" xmlns:ns3="http://www.isotc211.org/2005/gco" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.opengis.net/cat/csw/2.0.2 http://schemas.opengis.net/csw/2.0.2/CSW-discovery.xsd">
<ns0:SearchStatus timestamp="2025-09-26T14:14:40.494064Z" />
<ns0:SearchResults numberOfRecordsMatched="6" numberOfRecordsReturned="6" elementSet="brief" nextRecord="0">
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<ns2:hierarchyLevel>
<ns2:MD_ScopeCode codeList="http://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_ScopeCode" codeListValue="Repository" />
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<ns2:hierarchyLevelName>
<ns3:CharacterString>Study</ns3:CharacterString>
</ns2:hierarchyLevelName>
<ns2:identificationInfo>
<ns2:MD_DataIdentification>
<ns2:citation>
<ns2:CI_Citation>
<ns2:title xsi:type="lan:PT_FreeText_PropertyType">
<ns3:CharacterString>Volcanic Sulfur Dioxide emissions from Sentinel-5P/TROPOMI (Etna and Piton de la Fournaise)</ns3:CharacterString>
<ns2:PT_FreeText>
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<ns2:extent>
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</ns2:southBoundLatitude>
<ns2:eastBoundLongitude>
<ns3:Decimal>15.199</ns3:Decimal>
</ns2:eastBoundLongitude>
<ns2:northBoundLatitude>
<ns3:Decimal>37.948</ns3:Decimal>
</ns2:northBoundLatitude>
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<ns2:EX_Extent>
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</ns2:westBoundLongitude>
<ns2:southBoundLatitude>
<ns3:Decimal>-21.444</ns3:Decimal>
</ns2:southBoundLatitude>
<ns2:eastBoundLongitude>
<ns3:Decimal>55.908</ns3:Decimal>
</ns2:eastBoundLongitude>
<ns2:northBoundLatitude>
<ns3:Decimal>-21.044</ns3:Decimal>
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<ns2:hierarchyLevelName>
<ns3:CharacterString>Dataset</ns3:CharacterString>
</ns2:hierarchyLevelName>
<ns2:identificationInfo>
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<ns2:citation>
<ns2:CI_Citation>
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<ns3:CharacterString>Sulfur Dioxide emissions from Etna and Piton de la Fournaise volcanoes (2021-2023) from Sentinel-5P/TROPOMI</ns3:CharacterString>
<ns2:PT_FreeText>
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<ns2:northBoundLatitude>
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<ns2:identificationInfo>
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<ns2:hierarchyLevelName>
<ns3:CharacterString>Dataset</ns3:CharacterString>
</ns2:hierarchyLevelName>
<ns2:identificationInfo>
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<ns2:citation>
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<ns2:southBoundLatitude>
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</ns2:southBoundLatitude>
<ns2:eastBoundLongitude>
<ns3:Decimal>4.980966775539664</ns3:Decimal>
</ns2:eastBoundLongitude>
<ns2:northBoundLatitude>
<ns3:Decimal>43.411605427602574</ns3:Decimal>
</ns2:northBoundLatitude>
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</ns2:hierarchyLevel>
<ns2:hierarchyLevelName>
<ns3:CharacterString>Study</ns3:CharacterString>
</ns2:hierarchyLevelName>
<ns2:identificationInfo>
<ns2:MD_DataIdentification>
<ns2:citation>
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<ns2:extent>
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<ns2:eastBoundLongitude>
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<ns2:northBoundLatitude>
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</ns2:geographicElement>
</ns2:EX_Extent>
</ns2:extent>
</ns2:MD_DataIdentification>
</ns2:identificationInfo>
</ns2:MD_Metadata>
</ns0:SearchResults>
</ns0:GetRecordsResponse>The above search allows for identifying the product and dataset IDs
# ID of the product "Volcanic Sulfur Dioxide emissions from Sentinel-5P/TROPOMI (Etna and Piton de la Fournaise)"
PRODUCT_ID="b6d83680-00ac-4d7f-9651-5eac38c3c42f"
# Dataset ID (last part of the DOI)
DATASET_ID="235f8c42-142b-40ee-9948-518e83554a7d"Search within product
request_url = EASY_DATA_API_URL + "?service=CSW&request=GetRecordById&version=2.0.2&id=%s" % PRODUCT_ID
display(request_url)
r = requests.get(request_url, allow_redirects=True, headers=headers)#.json()#['data']
root = ET.fromstring(r.text)
ET.dump(root)
#tree#.write("file.xml")'https://www.easydata.earth/api/csw?service=CSW&request=GetRecordById&version=2.0.2&id=b6d83680-00ac-4d7f-9651-5eac38c3c42f'<ns0:GetRecordByIdResponse xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:ns0="http://www.opengis.net/cat/csw/2.0.2" xmlns:ns2="http://purl.org/dc/terms/">
<ns0:SummaryRecord>
<dc:identifier>b6d83680-00ac-4d7f-9651-5eac38c3c42f</dc:identifier>
<dc:title>Volcanic Sulfur Dioxide emissions from Sentinel-5P/TROPOMI (Etna and Piton de la Fournaise)</dc:title>
<dc:type>Repository</dc:type>
<dc:subject>DATA TERRA</dc:subject>
<dc:subject>Pôle FORM@TER</dc:subject>
<dc:subject>Pole AERIS</dc:subject>
<dc:subject>Atmosphere</dc:subject>
<dc:subject>Solid earth</dc:subject>
<dc:subject>Earth Observation Satellites</dc:subject>
<dc:subject>Sulfur</dc:subject>
<dc:subject>Volcano</dc:subject>
<dc:subject />
<dc:subject>étude</dc:subject>
<dc:subject>geoscientificInformation</dc:subject>
<ns2:modified>2024-05-14</ns2:modified>
<ns2:abstract>This repository contains multi-year time-series of volcanic sulfur dioxide (SO2) emission rates released by Etna and Piton de la Fournaise volcanoes. The emission rates are estimated from measurements of the TROPOMI sensor onboard of the Sentinel-5-Precursor (Sentinel-5P) satellite. Emission rates are computed from SO2 mass burdens extracted from the TROPOMI images, using the "disk method" described in the Grandin et al. (2023) publication.
This dataset contains files that can be used for replicating results for the two cases studied in the publication:
* Piton de la Fournaise (2021-2023)
* Etna (2021)
The dataset contains input and output data for the "SO2 Flux Calculator" algorithm, which is available as :
* a command-line tool: https://git.icare.univ-lille.fr/icare-public/so2-flux-calculator
* an on-demand interactive web app: https://dataviz.icare.univ-lille.fr/so2-flux-calculator
Acknowledgements:
* The web-based VolcPlume Platform was used for satellite and ground-based multi-station analysis (https://www.icare.univ-lille.fr/volcplume)
* Facilities of the European Space Agency (ESA) were used for access to Sentinel-5P TROPOMI Level 2 SO2 products (https://documentation.dataspace.copernicus.eu/Data/SentinelMissions/Sentinel5P.html#sentinel-5p-level-2-sulfur-dioxide)
* Facilities of the Copernicus Climate Change Service Climate Data Store (CDS) were used for access to European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-5 global reanalysis (https://cds.climate.copernicus.eu/cdsapp)
Support from AERIS/ICARE (Atmosphere Data and Services centre) for the co-development of the VolcPlume Platform, is acknowledged. This project is also supported by FormaTerre (Solid Earth Data and Service centre), and by the ``Data Terra'' Research Infrastructure. The research was supported by funding from Horizon Europe FAIR-EASE project (grant No. 101058785) and CaPPA Labex (Agence Nationale de la Recherche No. ANR-11-LABX-0005-0).</ns2:abstract>
</ns0:SummaryRecord>
</ns0:GetRecordByIdResponse>Search within dataset
request_url = EASY_DATA_API_URL + "?service=CSW&request=GetRecordById&version=2.0.2&id=%s&ElementSetName=full" % DATASET_ID
display(request_url)'https://www.easydata.earth/api/csw?service=CSW&request=GetRecordById&version=2.0.2&id=235f8c42-142b-40ee-9948-518e83554a7d&ElementSetName=full'r = requests.get(request_url, allow_redirects=True, headers=headers)#.json()#['data']
root = ET.fromstring(r.text)
ET.dump(root)<ns0:GetRecordByIdResponse xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:ns0="http://www.opengis.net/cat/csw/2.0.2" xmlns:ns2="http://purl.org/dc/terms/" xmlns:ns3="http://www.opengis.net/ows">
<ns0:Record>
<dc:identifier>235f8c42-142b-40ee-9948-518e83554a7d</dc:identifier>
<dc:title>Sulfur Dioxide emissions from Etna and Piton de la Fournaise volcanoes (2021-2023) from Sentinel-5P/TROPOMI
Sulfur Dioxide emissions from Etna and Piton de la Fournaise volcanoes (2021-2023) from Sentinel-5P/TROPOMI</dc:title>
<dc:type>dataset</dc:type>
<dc:subject>Atmosphere
Atmosphere
atmosphère</dc:subject>
<dc:subject>Solid earth
Solid earth
Terre Solide</dc:subject>
<dc:subject>Earth Observation Satellites
Earth Observation Satellites
Satellites d'observation</dc:subject>
<dc:subject>Sulfur
Sulfur
Soufre</dc:subject>
<dc:subject>Volcano
Volcano
Volcano</dc:subject>
<dc:subject />
<dc:subject>donnée
donnée
donnée</dc:subject>
<dc:subject>geoscientificInformation</dc:subject>
<ns2:abstract>This repository contains multi-year time-series of volcanic sulfur dioxide (SO2) emission rates released by Etna and Piton de la Fournaise volcanoes. The emission rates are estimated from measurements of the TROPOMI sensor onboard of the Sentinel-5-Precursor (Sentinel-5P) satellite. Emission rates are computed from SO2 mass burdens extracted from the TROPOMI images, using the "disk method" described in the Grandin et al. (2023) publication.
This dataset contains files that can be used for replicating results for the two cases studied in the publication:
* Piton de la Fournaise (2021-2023)
* Etna (2021)
The dataset contains input and output data for the "SO2 Flux Calculator" algorithm, which is available as :
* a command-line tool: https://git.icare.univ-lille.fr/icare-public/so2-flux-calculator
* an on-demand interactive web app: https://dataviz.icare.univ-lille.fr/so2-flux-calculator
Detailed content of the dataset is described in the Readme.txt file.
This dataset was produced as part of the EOSC FAIR-EASE project (Grant number: 101058785).
This repository contains multi-year time-series of volcanic sulfur dioxide (SO2) emission rates released by Etna and Piton de la Fournaise volcanoes. The emission rates are estimated from measurements of the TROPOMI sensor onboard of the Sentinel-5-Precursor (Sentinel-5P) satellite. Emission rates are computed from SO2 mass burdens extracted from the TROPOMI images, using the "disk method" described in the Grandin et al. (2023) publication.
This dataset contains files that can be used for replicating results for the two cases studied in the publication:
* Piton de la Fournaise (2021-2023)
* Etna (2021)
The dataset contains input and output data for the "SO2 Flux Calculator" algorithm, which is available as :
* a command-line tool: https://git.icare.univ-lille.fr/icare-public/so2-flux-calculator
* an on-demand interactive web app: https://dataviz.icare.univ-lille.fr/so2-flux-calculator
Detailed content of the dataset is described in the Readme.txt file.
This dataset was produced as part of the EOSC FAIR-EASE project (Grant number: 101058785).</ns2:abstract>
<dc:description>This repository contains multi-year time-series of volcanic sulfur dioxide (SO2) emission rates released by Etna and Piton de la Fournaise volcanoes. The emission rates are estimated from measurements of the TROPOMI sensor onboard of the Sentinel-5-Precursor (Sentinel-5P) satellite. Emission rates are computed from SO2 mass burdens extracted from the TROPOMI images, using the "disk method" described in the Grandin et al. (2023) publication.
This dataset contains files that can be used for replicating results for the two cases studied in the publication:
* Piton de la Fournaise (2021-2023)
* Etna (2021)
The dataset contains input and output data for the "SO2 Flux Calculator" algorithm, which is available as :
* a command-line tool: https://git.icare.univ-lille.fr/icare-public/so2-flux-calculator
* an on-demand interactive web app: https://dataviz.icare.univ-lille.fr/so2-flux-calculator
Detailed content of the dataset is described in the Readme.txt file.
This dataset was produced as part of the EOSC FAIR-EASE project (Grant number: 101058785).
This repository contains multi-year time-series of volcanic sulfur dioxide (SO2) emission rates released by Etna and Piton de la Fournaise volcanoes. The emission rates are estimated from measurements of the TROPOMI sensor onboard of the Sentinel-5-Precursor (Sentinel-5P) satellite. Emission rates are computed from SO2 mass burdens extracted from the TROPOMI images, using the "disk method" described in the Grandin et al. (2023) publication.
This dataset contains files that can be used for replicating results for the two cases studied in the publication:
* Piton de la Fournaise (2021-2023)
* Etna (2021)
The dataset contains input and output data for the "SO2 Flux Calculator" algorithm, which is available as :
* a command-line tool: https://git.icare.univ-lille.fr/icare-public/so2-flux-calculator
* an on-demand interactive web app: https://dataviz.icare.univ-lille.fr/so2-flux-calculator
Detailed content of the dataset is described in the Readme.txt file.
This dataset was produced as part of the EOSC FAIR-EASE project (Grant number: 101058785).</dc:description>
<dc:rights>unrestricted</dc:rights>
<dc:rights>license</dc:rights>
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<dc:URI protocol="Publication en accès ouvert" name=" Automatic estimation of daily volcanic sulfur dioxide gas flux from TROPOMI satellite observations: application to Etna and Piton de la Fournaise Automatic estimation of daily volcanic sulfur dioxide gas flux from TROPOMI satellite observations: application to Etna and Piton de la Fournaise " description=" Understanding the dynamics of sulfur dioxide (SO2) degassing is of primary importance for tracking temporal variations in volcanic activity. Here we introduce the novel “disk method”, which aims at estimating the daily volcanic SO2 mass flux from satellite data (such as those provided by Sentinel-5P/TROPOMI). The method calculates a “proto-flux” using a regression, as a function of distance, of SO2 mass integrated in a series of nested circular domains centered on the volcano. After regression, a single multiplication by plume speed suffices to deduce the SO2 mass flux, without requiring a re-run of the regression. This way, a range of plume speed and plume altitude scenarios can be easily explored. Noise intensity in the image is simultaneously evaluated by the regression, which allows for estimating posterior uncertainties on SO2 flux and improving the level of detection for weak sources in noisy environments. A statistical test is also introduced to automatically detect occurrences of volcanic degassing, lowering the risk of false positives. Application to multi-year time-series at Etna (2021) and Piton de la Fournaise (2021–2023) demonstrates (a) a reliable quantification of SO2 emissions across a broad range of degassing styles (from passive degassing to effusive or paroxysmal events), and (b) a reasonable day-to-day correlation between SO2 flux and seismic energy. The method is distributed as in open-source software, and is implemented as an interactive web app within the “Volcano Space Observatory Portal”, facilitating near-real-time exploitation of the TROPOMI archive for both volcano monitoring and assessment of volcanogenic atmospheric hazards. Understanding the dynamics of sulfur dioxide (SO2) degassing is of primary importance for tracking temporal variations in volcanic activity. Here we introduce the novel “disk method”, which aims at estimating the daily volcanic SO2 mass flux from satellite data (such as those provided by Sentinel-5P/TROPOMI). The method calculates a “proto-flux” using a regression, as a function of distance, of SO2 mass integrated in a series of nested circular domains centered on the volcano. After regression, a single multiplication by plume speed suffices to deduce the SO2 mass flux, without requiring a re-run of the regression. This way, a range of plume speed and plume altitude scenarios can be easily explored. Noise intensity in the image is simultaneously evaluated by the regression, which allows for estimating posterior uncertainties on SO2 flux and improving the level of detection for weak sources in noisy environments. A statistical test is also introduced to automatically detect occurrences of volcanic degassing, lowering the risk of false positives. Application to multi-year time-series at Etna (2021) and Piton de la Fournaise (2021–2023) demonstrates (a) a reliable quantification of SO2 emissions across a broad range of degassing styles (from passive degassing to effusive or paroxysmal events), and (b) a reasonable day-to-day correlation between SO2 flux and seismic energy. The method is distributed as in open-source software, and is implemented as an interactive web app within the “Volcano Space Observatory Portal”, facilitating near-real-time exploitation of the TROPOMI archive for both volcano monitoring and assessment of volcanogenic atmospheric hazards. ">https://doi.org/10.1029/2024JB029309
https://doi.org/10.1029/2024JB029309</dc:URI>
<dc:URI protocol="Code source en accès ouvert" name=" SO2 Flux Calculator (command line tool) SO2 Flux Calculator (command line tool) " description=" This Git repository contains source code for the Python package "SO2 Flux Calculator". This Git repository contains source code for the Python package "SO2 Flux Calculator". ">https://git.icare.univ-lille.fr/icare-public/so2-flux-calculator
https://git.icare.univ-lille.fr/icare-public/so2-flux-calculator</dc:URI>
<dc:URI protocol="Code source en accès ouvert" name=" SO2 Flux Calculator - Python implementation of the volcanic SO2 flux calculator add-on of the VolcPlume platform SO2 Flux Calculator - Python implementation of the volcanic SO2 flux calculator add-on of the VolcPlume platform " description=" Archived the source code of the Python package "SO2 Flux Calculator" in Software Heritage Archived the source code of the Python package "SO2 Flux Calculator" in Software Heritage ">https://archive.softwareheritage.org/swh:1:dir:53d6328db7d35b348666768dfd31bec3ebe99c21
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<dc:URI protocol="Site Web projet" name=" SO2 Flux Calculator (web app) SO2 Flux Calculator (web app) " description=" This service implements the "SO2 Flux Calculator" as an on-demand interactive web app. This service implements the "SO2 Flux Calculator" as an on-demand interactive web app. ">https://dataviz.icare.univ-lille.fr/so2-flux-calculator
https://dataviz.icare.univ-lille.fr/so2-flux-calculator</dc:URI>
<dc:URI protocol="Site Web projet" name=" FAIR-EASE website FAIR-EASE website " description=" The website presents the FAIR-Ease project The website presents the FAIR-Ease project ">https://fairease.eu/
https://fairease.eu/</dc:URI>
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<dc:URI protocol="Site Web projet" name=" VolcPlume platform VolcPlume platform " description=" The VolcPlume Portal (https://volcplume.aeris-data.fr) is dedicated to the near-real time and retrospective tracking and analysis of the physico-chemical properties of volcanic plumes in the atmosphere, from the source to regional/global scales. The portal allows for jointly analysing a broad panel of satellite and ground-based active and passive remote sensing observations of both volcanic gas and particles, as well as in-situ ground air quality monitoring measurements to detect and isolate a volcanic plume signature down to the ground. Benefiting from developments favouring interactivity and flexibility, this portal thus aims to facilitate an in-depth assessment of the multi-scale atmospheric impacts of volcanic plumes that can include, depending on the type and magnitude of the eruption, modifications of the atmospheric chemistry, degradation of air quality, aviation hazards, and climate impacts. The VolcPlume Portal (https://volcplume.aeris-data.fr) is dedicated to the near-real time and retrospective tracking and analysis of the physico-chemical properties of volcanic plumes in the atmosphere, from the source to regional/global scales. The portal allows for jointly analysing a broad panel of satellite and ground-based active and passive remote sensing observations of both volcanic gas and particles, as well as in-situ ground air quality monitoring measurements to detect and isolate a volcanic plume signature down to the ground. Benefiting from developments favouring interactivity and flexibility, this portal thus aims to facilitate an in-depth assessment of the multi-scale atmospheric impacts of volcanic plumes that can include, depending on the type and magnitude of the eruption, modifications of the atmospheric chemistry, degradation of air quality, aviation hazards, and climate impacts. ">https://www.icare.univ-lille.fr/volcplume
https://www.icare.univ-lille.fr/volcplume</dc:URI>
<dc:URI protocol="WWW:LINK-1.0-http--link" name=" Readme.txt Readme.txt ">https://www.easydata.earth/back/public-api/v1/metadata/datasets/235f8c42-142b-40ee-9948-518e83554a7d/files/Readme.txt
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<dc:URI protocol="DOI" name=" Digital Object Identifier (DOI) Digital Object Identifier (DOI) ">https://doi.org/10.57932/235f8c42-142b-40ee-9948-518e83554a7d
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</ns0:Record>
</ns0:GetRecordByIdResponse>Download data
Dataset URL
data_in_SO2_mass_URL = "https://www.easydata.earth/back/public-api/v1/metadata/datasets/235f8c42-142b-40ee-9948-518e83554a7d/files/TROPOMI_SO2-7km_mass_25-50-75-100-150-200-250-300-400-500km_Fournaise-Piton-de-la_sza-90_tracks-7_du-0_qa-0_2021-09-15_2023-09-14.csv"
data_in_cloud_fraction_URL = "https://www.easydata.earth/back/public-api/v1/metadata/datasets/235f8c42-142b-40ee-9948-518e83554a7d/files/TROPOMI_CloudFraction_mean_25-50-75-100-150-200-250-300-400-500km_Fournaise-Piton-de-la_sza-90_tracks-7_qa-0_2021-09-15_2023-09-14.csv"Read SO2 mass and cloud fraction
def filename_from_url(url):
r = requests.get(url, headers=headers)
filename = get_filename_from_cd(r.headers.get('content-disposition'))
with open(filename, 'wb') as file:
file.write(r.content)
return filename
# Save files locally
localfilename_so2 = filename_from_url(data_in_SO2_mass_URL)
localfilename_cf = filename_from_url(data_in_cloud_fraction_URL)
# Read CSV
df_so2_mass = read_mass_from_csv(localfilename_so2, utc_time=0)
df_cf = read_cf_from_csv(localfilename_cf, utc_time=0)
# Display result
display(df_so2_mass.head(), df_cf.head())| TROPOMI_SO2-7km_mass | npoints | centroid_lon | centroid_lat | fraction_filtered_edge_tracks | fraction_filtered_quality | fraction_filtered_sza | fraction_filtered_total | ||
|---|---|---|---|---|---|---|---|---|---|
| Time | radius | ||||||||
| 2021-09-15 00:00:00+00:00 | 25 | 0.002795 | 50.0 | 55.811651 | -21.274005 | 0.0 | 0.0 | 0.0 | 0.0 |
| 50 | 0.015633 | 198.0 | 55.753008 | -21.250200 | 0.0 | 0.0 | 0.0 | 0.0 | |
| 75 | 0.045795 | 440.0 | 55.716098 | -21.277688 | 0.0 | 0.0 | 0.0 | 0.0 | |
| 100 | 0.089700 | 786.0 | 55.687237 | -21.282824 | 0.0 | 0.0 | 0.0 | 0.0 | |
| 150 | 0.220414 | 1772.0 | 55.704500 | -21.208305 | 0.0 | 0.0 | 0.0 | 0.0 |
| TROPOMI_CloudFraction_mean | npoints | fraction_filtered_edge_tracks | fraction_filtered_quality | fraction_filtered_sza | fraction_filtered_total | ||
|---|---|---|---|---|---|---|---|
| Time | radius | ||||||
| 2021-09-15 00:00:00+00:00 | 25 | 0.641550 | 50 | 0.0 | 0.0 | 0.0 | 0.0 |
| 50 | 0.421468 | 198 | 0.0 | 0.0 | 0.0 | 0.0 | |
| 75 | 0.256836 | 440 | 0.0 | 0.0 | 0.0 | 0.0 | |
| 100 | 0.180345 | 786 | 0.0 | 0.0 | 0.0 | 0.0 | |
| 150 | 0.130227 | 1772 | 0.0 | 0.0 | 0.0 | 0.0 |
Compute SO2 flux with fixed wind speed
from so2_flux_calculator.command_line import run
run(csv_in_mass=localfilename_so2,
cloud_fraction_file=localfilename_cf,
output_directory='.',
output_file="Piton_SO2_flux",
wind_speed_fixed=6)## Uncomment lines below to display PNG in cell
from IPython.display import Image
Image("Piton_SO2_flux.png")
Interactive version (opens in new tab)
run(csv_in_mass=localfilename_so2,
cloud_fraction_file=localfilename_cf,
output_directory='.',
output_file="Piton_SO2_flux",
wind_speed_fixed=6,
interactive_figure=True)Launching server at http://localhost:37545