{"id":1748,"date":"2025-10-15T13:35:13","date_gmt":"2025-10-15T17:35:13","guid":{"rendered":"https:\/\/www.clarku.edu\/marsh-institute\/research-projects\/translating-existing-model-results-to-aid-in-resource-management-planning-for-future-precipitation-extremes-in-hawaii-and-southeast-alaska\/"},"modified":"2026-04-16T23:20:29","modified_gmt":"2026-04-17T03:20:29","slug":"translating-existing-model-results-to-aid-in-resource-management-planning-for-future-precipitation-extremes-in-hawaii-and-southeast-alaska","status":"publish","type":"research-projects","link":"https:\/\/www.clarku.edu\/marsh-institute\/research-projects\/translating-existing-model-results-to-aid-in-resource-management-planning-for-future-precipitation-extremes-in-hawaii-and-southeast-alaska\/","title":{"rendered":"Translating Existing Model Results to Aid in Resource Management Planning for Future Precipitation Extremes in Hawai\u2019i and Southeast Alaska"},"content":{"rendered":"\n<p>The USGS Pacific Islands and Alaska Climate Adaptation Science Centers have supported the development of high-resolution future climate model projections for the steep-gradient watersheds of Hawai\u2018i and Southeast Alaska. However, these model results are currently not accessible to resource managers in user-friendly formats, and no clear descriptions of the data or uncertainty are available. In partnership with the University of Alaska at Fairbanks, University of Hawai\u2018i at M\u0101noa, and other stakeholders, this project will co-develop a joint Hawai\u2018i-Alaska website to make existing modeling results more accessible for resource managers who need to incorporate climate change projections into their planning and outreach efforts. The project will also co-produce new standardized hydro-meteorological products that will help address the uncertain future of precipitation extremes.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The USGS Pacific Islands and Alaska Climate Adaptation Science Centers have supported the development of high-resolution future climate model projections for the steep-gradient watersheds of Hawai\u2018i and Southeast Alaska. However, these model results are currently not accessible to resource managers in user-friendly formats, and no clear descriptions of the data or uncertainty are available. In [&hellip;]<\/p>\n","protected":false},"author":6,"featured_media":0,"template":"","meta":{"_links_to":"","_links_to_target":""},"tags":[21],"principal-investigator":[315],"funding-agency":[316],"class_list":["post-1748","research-projects","type-research-projects","status-publish","hentry","tag-past","principal-investigator-abby-frazier","funding-agency-u-s-geological-survey"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.9 (Yoast SEO v27.9) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Translating Existing Model Results to Aid in Resource Management Planning for Future Precipitation Extremes in Hawai\u2019i and Southeast Alaska | George Perkins Marsh Institute<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.clarku.edu\/marsh-institute\/research-projects\/translating-existing-model-results-to-aid-in-resource-management-planning-for-future-precipitation-extremes-in-hawaii-and-southeast-alaska\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Translating Existing Model Results to Aid in Resource Management Planning for Future Precipitation Extremes in Hawai\u2019i and Southeast Alaska\" \/>\n<meta property=\"og:description\" content=\"The USGS Pacific Islands and Alaska Climate Adaptation Science Centers have supported the development of high-resolution future climate model projections for the steep-gradient watersheds of Hawai\u2018i and Southeast Alaska. However, these model results are currently not accessible to resource managers in user-friendly formats, and no clear descriptions of the data or uncertainty are available. 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