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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>
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   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>;
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<https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017>
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