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@prefix dcterms: <http://purl.org/dc/terms/> . @prefix gcis: <http://data.globalchange.gov/gcis.owl#> . @prefix xsd: <http://www.w3.org/2001/XMLSchema#> . @prefix dbpprop: <http://dbpedia.org/property/> . @prefix bibo: <http://purl.org/ontology/bibo/> . @prefix fabio: <http://purl.org/spar/fabio/> . @prefix prov: <http://www.w3.org/ns/prov#> . @prefix biro: <http://purl.org/spar/biro/> . @prefix cito: <http://purl.org/spar/cito/> . <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017> dcterms:identifier "epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017"; dcterms:title "Multi-Model Framework for Quantitative Sectoral Impacts Analysis"^^xsd:string; dbpprop:pubYear "2017"^^xsd:gYear; gcis:hasURL "https://cfpub.epa.gov/si/si_public_record_Report.cfm?dirEntryId=335095"^^xsd:anyURI; ## A report can either be a report, assessment, or technical input dcterms:type "technical_input"; ## Frequency of report release: ## Report topic(s): ## Report chapter(s): gcis:hasChapter <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/bridges>; gcis:hasChapter <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/winter-recreation>; gcis:hasChapter <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/executive-summary>; gcis:hasChapter <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/scenarios-and-projections>; gcis:hasChapter <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/risk-reduction-through-adaptation>; gcis:hasChapter <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/cira-project-background>; gcis:hasChapter <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/rail>; gcis:hasChapter <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/air-quality>; gcis:hasChapter <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/domestic-yield-and-welfare-effects>; gcis:hasChapter <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/aeroallergens>; gcis:hasChapter <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/alaska-infrastructure>; gcis:hasChapter <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/regional-summaries>; gcis:hasChapter <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/extreme-temperature-mortality>; gcis:hasChapter <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/us-and-global-agriculture-interactions>; gcis:hasChapter <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/urban-drainage>; gcis:hasChapter <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/labor>; gcis:hasChapter <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/west-nile-virus>; gcis:hasChapter <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/coastal-property>; gcis:hasChapter <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/coral-reefs>; gcis:hasChapter <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/harmful-algal-blooms>; gcis:hasChapter <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/electricity-demand-and-supply>; gcis:hasChapter <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/domestic-migration>; gcis:hasChapter <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/shellfish>; gcis:hasChapter <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/roads>; gcis:hasChapter <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/flooding-damages>; gcis:hasChapter <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/water-quality>; gcis:hasChapter <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/freshwater-fish>; gcis:hasChapter <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/municipal-and-industrial-water-supply>; gcis:hasChapter <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/wildfire>; gcis:hasChapter <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/carbon-storage>; gcis:hasChapter <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/national-summary>; gcis:hasChapter <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/cira2-technicalappendixfornca4>; ## Report figure(s): gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/regional-summaries/figure/largest-damages-of-climate-change-in-the-southwest>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/regional-summaries/figure/largest-damages-of-climate-change-in-the-southern-plains>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/regional-summaries/figure/largest-damages-of-climate-change-in-the-northern-plains>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/regional-summaries/figure/largest-damages-of-climate-change-in-the-midwest>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/regional-summaries/figure/largest-damages-of-climate-change-in-the-southeast>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/harmful-algal-blooms/figure/projected-change-in-cyanobacteria-concentrations>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/roads/figure/figure-10-1>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/urban-drainage/figure/figure-14-1>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/alaska-infrastructure/figure/figure-13-1>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/alaska-infrastructure/figure/effect-of-adaptation-on-vulnerability>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/alaska-infrastructure/figure/figure-13-2>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/flooding-damages/figure/number-of-100-year-floods->; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/executive-summary/figure/annual-economic-damages-from-climate-change>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/carbon-storage/figure/projected-percent-change-in-carbon-stored->; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/regional-summaries/figure/largest-damages-of-climate-change-in-the-northeast>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/domestic-migration/figure/climate-change-induced-domestic-migration>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/rail/figure/figure-12-1>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/coastal-property/figure/figure-15-3>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/electricity-demand-and-supply/figure/figure-16-1>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/electricity-demand-and-supply/figure/figure-16-3>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/scenarios-and-projections/figure/globalco2>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/west-nile-virus/figure/projected-change-in-west-nile-neuroinvasive-disease-cases-in-the-southeast-region>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/domestic-yield-and-welfare-effects/figure/projected-percent-change-in-yield->; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/harmful-algal-blooms/figure/seasonal-profile-of-aggregate-cyanobacteria-concentration>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/domestic-migration/figure/regional-climate-change-induced-migration>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/roads/figure/figure-10-2>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/domestic-yield-and-welfare-effects/figure/projected-percent-change-in-national-crop-yields->; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/bridges/figure/figure-11-1>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/coastal-property/figure/figure-15-1>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/water-quality/figure/changes-in-mean-water-quality-index->; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/winter-recreation/figure/average-percent-change-in-annual-cross-country-skiing-and-snowmobiling-season-lengths>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/winter-recreation/figure/change-in-season-length-for-downhill-skiing-at-aspen-mountain--co->; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/shellfish/figure/percent-change-in-u-s--shellfish-supplies->; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/wildfire/figure/projected-wildfire-activity->; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/wildfire/figure/projected-change-in-wildfire-activity->; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/alaska-infrastructure/figure/projected-annual-reactive-adaptation-costs-by-infrastructure-type>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/electricity-demand-and-supply/figure/figure-16-4>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/municipal-and-industrial-water-supply/figure/average-annual-welfare-losses->; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/coral-reefs/figure/change-in-percent-coral-reef-cover-by-gcm>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/winter-recreation/figure/national-average-season-start-and-end-dates-for-the-downhill-ski-season>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/domestic-yield-and-welfare-effects/figure/percent-change-in-crop-price>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/domestic-yield-and-welfare-effects/figure/percent-change-in-projected-corn-yields-by-nca-region->; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/aeroallergens/figure/change-in-oak-pollen-season-length>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/flooding-damages/figure/projected-national-flood-damages-within-100-year-flood-zones>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/aeroallergens/figure/change-in-asthma-related-emergency-department-visits>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/coastal-property/figure/figure-15-2>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/winter-recreation/figure/average-percent-change-in-downhill-ski-season-length->; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/electricity-demand-and-supply/figure/figure-16-2>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/flooding-damages/figure/average-annual-damages-by-region->; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/extreme-temperature-mortality/figure/projected-extreme-temperature-mortality-in-select-cities>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/labor/figure/percent-change-in-hours-worked>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/labor/figure/wages-lost-for-all-labor-categories>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/west-nile-virus/figure/projected-regional-west-nile-neuroinvasive-disease-cases>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/shellfish/figure/percent-change-in-the-price-of-oysters->; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/wildfire/figure/projected-impact-of-climate-change-on-alaska-wildfire-activity>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/national-summary/figure/annual-damages-from-climate-change>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/air-quality/figure/change-in-summer-average-maximum-daily-ozone>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/air-quality/figure/change-in-ozone-related-premature-deaths>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/domestic-yield-and-welfare-effects/figure/average-percent-change-in-total-acreage-across-the-eight-crop-types>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/us-and-global-agriculture-interactions/figure/percent-change-in-u-s--crop-output->; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/coral-reefs/figure/average-change-in-percent-coral-reef-cover>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/freshwater-fish/figure/projected-impact-of-climate-change-on-potential-freshwater-fish-habitat--a--projected-changes-for-canesm2--ccsm4--and-giss-e2-r>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/carbon-storage/figure/projected-annual-carbon-flow->; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/regional-summaries/figure/largest-damages-of-climate-change-in-the-northwest>; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/regional-summaries/figure/nca4-regional-aggregations-for-the-contiguous-u-s-->; gcis:hasFigure <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/water-quality/figure/change-in-water-quality-parameters->; ## Report table(s): ## Report finding(s): ## Region(s): a gcis:Report, fabio:Report . <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017> cito:isCitedBy <https://data.globalchange.gov/report/nca4>; biro:isReferencedBy <https://data.globalchange.gov/reference/0b30f1ab-e4c4-4837-aa8b-0e19faccdb94>. <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017> cito:isCitedBy <https://data.globalchange.gov/report/nca4/chapter/nca4-front-matter>; biro:isReferencedBy <https://data.globalchange.gov/reference/0b30f1ab-e4c4-4837-aa8b-0e19faccdb94>. <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017> cito:isCitedBy <https://data.globalchange.gov/report/nca4/chapter/energy-supply-delivery-and-demand>; biro:isReferencedBy <https://data.globalchange.gov/reference/0b30f1ab-e4c4-4837-aa8b-0e19faccdb94>. <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017> cito:isCitedBy <https://data.globalchange.gov/report/nca4/chapter/ecosystems-ecosystem-services-and-biodiversity>; biro:isReferencedBy <https://data.globalchange.gov/reference/0b30f1ab-e4c4-4837-aa8b-0e19faccdb94>. <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017> cito:isCitedBy <https://data.globalchange.gov/report/nca4/chapter/coastal-effects>; biro:isReferencedBy <https://data.globalchange.gov/reference/0b30f1ab-e4c4-4837-aa8b-0e19faccdb94>. <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017> cito:isCitedBy <https://data.globalchange.gov/report/nca4/chapter/oceans-and-marine-resources>; biro:isReferencedBy <https://data.globalchange.gov/reference/0b30f1ab-e4c4-4837-aa8b-0e19faccdb94>. <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017> cito:isCitedBy <https://data.globalchange.gov/report/nca4/chapter/built-environment-urban-systems-and-cities>; biro:isReferencedBy <https://data.globalchange.gov/reference/0b30f1ab-e4c4-4837-aa8b-0e19faccdb94>. <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017> cito:isCitedBy <https://data.globalchange.gov/report/nca4/chapter/transportation>; biro:isReferencedBy <https://data.globalchange.gov/reference/0b30f1ab-e4c4-4837-aa8b-0e19faccdb94>. <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017> cito:isCitedBy <https://data.globalchange.gov/report/nca4/chapter/air-quality>; biro:isReferencedBy <https://data.globalchange.gov/reference/0b30f1ab-e4c4-4837-aa8b-0e19faccdb94>. <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017> cito:isCitedBy <https://data.globalchange.gov/report/nca4/chapter/human-health>; biro:isReferencedBy <https://data.globalchange.gov/reference/0b30f1ab-e4c4-4837-aa8b-0e19faccdb94>. <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017> cito:isCitedBy <https://data.globalchange.gov/report/nca4/chapter/sectoral-interdependencies-and-compounding-stressors>; biro:isReferencedBy <https://data.globalchange.gov/reference/0b30f1ab-e4c4-4837-aa8b-0e19faccdb94>. <https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017> cito:isCitedBy <https://data.globalchange.gov/report/nca4/chapter/northeast>; 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