<?xml version="1.0" encoding="UTF-8"?>
<ComputationCapabilities xmlns="https://metadata.pithia.eu/schemas/2.2" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:gco="http://www.isotc211.org/2005/gco" xmlns:gmd="http://www.isotc211.org/2005/gmd" xmlns:mrl="http://standards.iso.org/iso/19115/-3/mrl/1.0" xmlns:xlink="http://www.w3.org/1999/xlink" xsi:schemaLocation="https://metadata.pithia.eu/schemas/2.2 https://metadata.pithia.eu/schemas/2.2/pithia.xsd">
<identifier>
<PITHIA_Identifier>
<localID>ComputationCapabilities_T-FORS_LSTID_Forecasting_TFT</localID>
<namespace>noa</namespace>
<version>1</version>
<creationDate>2024-12-22T16:53:00Z</creationDate>
<lastModificationDate>2024-12-23T09:34:00Z</lastModificationDate>
</PITHIA_Identifier>
</identifier>
<name>T-FORS LSTID Forecasting with TFT</name>
<description>This is a Large Scale Travelling Ionospheric Disturbances (LSTIDs) forecasting model for each Digisonde station,
i.e., Sopron (SO148), Juliusruh (JR055), Dourbes (DB049), Ebro (EB040), trained over different time periods.
The code utilizes a Temporal Fusion Transformer (TFT) to predict LSTIDs. The model incorporates features such as
the auroral electrojet indices IL and IU provided by the FMI IMAGE network and the Gradient GNSS TEC Activity Index provided by DLR.
The labels are the Spectral Energy Contribution (Spcont) for detected LSTIDs over Digisonde stations (in this case data from
the Juliusruh Digisonde are used) calculated with the HF Interferometry method.</description>
<documentation>
<Citation>
<gmd:title>
<gco:CharacterString>Short-term forecast for the occurrence of Large Scale Travelling Ionospheric Disturbances at European middle latitudes using Neural Networks.</gco:CharacterString>
</gmd:title>
<date xmlns="http://www.isotc211.org/2005/gmd">
<CI_Date>
<date>
<gco:Date>2024-12-22</gco:Date>
</date>
<dateType>
<CI_DateTypeCode codeList="" codeListValue="">Publication Date</CI_DateTypeCode>
</dateType>
</CI_Date>
</date>
<gmd:otherCitationDetails>
<gco:CharacterString>Themelis, K., Belehaki, A., Koutroumbas, K., Segarra, A., de Paula, V., Navas-Portella, V., Altadill, D. (2024). Short-term forecast for the occurrence of Large Scale Travelling Ionospheric Disturbances at European middle latitudes using Neural Networks. https://doi.org/10.5281/zenodo.14537425</gco:CharacterString>
</gmd:otherCitationDetails>
<onlineResource>
<CI_OnlineResource xmlns="http://www.isotc211.org/2005/gmd">
<linkage>
<URL>https://doi.org/10.5281/zenodo.14537425</URL>
</linkage>
</CI_OnlineResource>
</onlineResource>
</Citation>
</documentation>
<capabilities>
<processCapability>
<name>Auroral electrojet indices IL and IU</name>
<observedProperty xlink:href="https://metadata.pithia.eu/ontology/2.2/observedProperty/MagneticField"/>
</processCapability>
<processCapability>
<name>Gradient GNSS TEC Activity Index</name>
<observedProperty xlink:href="https://metadata.pithia.eu/ontology/2.2/observedProperty/ElectronDensity"/>
</processCapability>
<processCapability>
<name>Spectral Energy Contribution (Spcont)</name>
<observedProperty xlink:href="https://metadata.pithia.eu/ontology/2.2/observedProperty/MaximumUsableFrequency_3000km_F2-Layer"/>
</processCapability>
</capabilities>
<dataLevel xlink:href="https://metadata.pithia.eu/ontology/2.2/dataLevel/L4"/>
<type xlink:href="https://metadata.pithia.eu/ontology/2.2/computationType/Model"/>
<algorithm/>
</ComputationCapabilities>
