@prefix dcat: <http://www.w3.org/ns/dcat#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix vcard: <http://www.w3.org/2006/vcard/ns#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00793927v1> a dcat:Dataset ;
    dct:description """
              The scientific community is now developing a new set of scenarios, referred to as Shared Socio-economic Pathways (SSPs) to replace the SRES scenarios. To be used to investigate adaptation and mitigation, SSPs need to be contrasted along two axes: challenges to mitigation, and challenges to adaptation. This paper proposes a methodology to develop SSPs with a "backward" approach. The methodology is based on (i) an a priori identification of potential drivers of mitigation and adaptation challenges; (ii) a modelling exercise to transform these drivers into a large set of scenarios; (iii) an a posteriori selection of a few SSPs among these scenarios, such that they cover the uncertainty space in terms of challenges to adaptation and mitigation. This methodology is applied to the selection of a few SSPs, but it could also be applied to any specific decisions faced by decision-makers. From a large database of runs built by many models, the methodology would allow selecting the most relevant scenarios for a specific decision, i.e. scenarios that best predict when the analyzed choice performs poorly or well.
            """ ;
    dct:identifier "hal-00793927" ;
    dct:issued "2026-05-14T04:56:25.065621"^^xsd:dateTime ;
    dct:language "en" ;
    dct:modified "2026-05-14T04:56:25.065627"^^xsd:dateTime ;
    dct:publisher <https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> ;
    dct:title "Building SSPs for Climate Policy Analysis : A Scenario Elicitation Methodology to Map the Space of Possible Future Challenges to Mitigation and Adaptation" ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "CCSD" ] ;
    dcat:distribution <https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00793927v1/resource/9a6f8b58-3d22-477a-ab02-e09da676b78b> ;
    dcat:keyword "infoeu-reposemanticspreprint",
        "ipcc",
        "preprints-working-papers-",
        "robust-decision-making",
        "scenario-methodology",
        "shared-socio-economic-pathways",
        "shsecohumanities-and-social-scienceseconomics-and-finance" ;
    dcat:landingPage <https://enpc.hal.science/hal-00793927> .

<https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00793927v1/resource/9a6f8b58-3d22-477a-ab02-e09da676b78b> a dcat:Distribution ;
    dct:format "HTML" ;
    dct:issued "2026-05-14T04:56:25.088652"^^xsd:dateTime ;
    dct:modified "2026-05-14T04:56:25.043380"^^xsd:dateTime ;
    dct:title "Building SSPs for Climate Policy Analysis : A Scenario Elicitation Methodology to Map the Space of Possible Future Challenges to Mitigation and Adaptation" ;
    dcat:accessURL <https://enpc.hal.science/hal-00793927> .

<https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> a foaf:Agent ;
    foaf:name "test_moissonnage_selune" .

<https://enpc.hal.science/hal-00793927> a foaf:Document .