{"id":896,"date":"2019-07-11T01:25:51","date_gmt":"2019-07-11T05:25:51","guid":{"rendered":"http:\/\/hydrouncertainty.org\/?p=896"},"modified":"2019-07-11T01:37:09","modified_gmt":"2019-07-11T05:37:09","slug":"agu-2019-fall-meeting-sessions-reducing-uncertainty","status":"publish","type":"post","link":"http:\/\/hydrouncertainty.org\/2019\/07\/11\/agu-2019-fall-meeting-sessions-reducing-uncertainty\/","title":{"rendered":"AGU 2019 Fall Meeting Sessions: Reducing Uncertainty"},"content":{"rendered":"\n

The Hydrologic Uncertainty Technical committee\u2019s mission<\/a> includes three \u201cbig research questions\u201d. The second is \u201cHow to reduce uncertainty in understanding, modelling, and predicting the future of coupled human-hydrologic systems?\u201d We\u2019ve put together a list of sessions that emphasizes this research problem. We also have a list of sessions specifically using machine learning techniques.<\/a><\/p>\n\n\n\n

\n\n\n\n

Improving modelling and watershed science<\/h2>\n\n\n\n

H098 – Modeling hydrological processes and changes under a\nchanging environment<\/p>\n\n\n\n

https:\/\/agu.confex.com\/agu\/fm19\/prelim.cgi\/Session\/77780<\/a><\/p>\n\n\n\n

H023 – Advancing watershed science using machine learning,\ndiverse data, and mechanistic modeling<\/p>\n\n\n\n

https:\/\/agu.confex.com\/agu\/fm19\/prelim.cgi\/Session\/83085<\/a><\/p>\n\n\n\n

Domain-specific problems<\/h2>\n\n\n\n

H092 – Long-Term Climate Modeling and Hydrological\nProjection<\/p>\n\n\n\n

https:\/\/agu.confex.com\/agu\/fm19\/prelim.cgi\/Session\/78073<\/a><\/p>\n\n\n\n

H067 – GRACE \/ GRACE-FO Applications in Terrestrial\nHydrology<\/p>\n\n\n\n

https:\/\/agu.confex.com\/agu\/fm19\/prelim.cgi\/Session\/80807<\/a><\/p>\n\n\n\n

H064 – Geogenic Contamination in the Groundwater System:\nAdvances (and Challenges) in Assessment, Water Quality Modeling, Uncertainty,\nand Water Supply Management<\/p>\n\n\n\n

https:\/\/agu.confex.com\/agu\/fm19\/prelim.cgi\/Session\/85455<\/a><\/p>\n\n\n\n

H013 – Advances in quantifying impacts and extents of\nland-use\/land-cover change on hydrology.<\/p>\n\n\n\n

https:\/\/agu.confex.com\/agu\/fm19\/prelim.cgi\/Session\/72615<\/a><\/p>\n\n\n\n

GC057 – Multi-scale, Multi-Region, and Multi-Actor Interactions for Sustainability and Resilience in the Food-Energy-Water Nexus <\/p>\n\n\n\n

https:\/\/agu.confex.com\/agu\/fm19\/prelim.cgi\/Session\/80748<\/a><\/p>\n\n\n\n

H102 – Nonstationary Impacts on Urban Watersheds<\/p>\n\n\n\n

https:\/\/agu.confex.com\/agu\/fm19\/prelim.cgi\/Session\/76386<\/a><\/p>\n\n\n\n

H126 – Statistical Methods for Modeling Changes in Flood Characteristics: Novel Approaches and Comparisons<\/p>\n\n\n\n

https:\/\/agu.confex.com\/agu\/fm19\/prelim.cgi\/Session\/81731[CX1]<\/a><\/p>\n\n\n\n

In other fields<\/h2>\n\n\n\n

GC014 – Climate Science in the Age of Deep Learning and\nMachine Learning<\/p>\n\n\n\n

https:\/\/agu.confex.com\/agu\/fm19\/prelim.cgi\/Session\/75997<\/a><\/p>\n\n\n\n

A055 – Deep Learning for improving short-term atmospheric\nmodeling and prediction<\/p>\n\n\n\n

https:\/\/agu.confex.com\/agu\/fm19\/prelim.cgi\/Session\/81500<\/a><\/p>\n\n\n\n

B081 – Narrowing uncertainty in GHG emissions using UAV\n(unmanned aerial vehicle) platforms<\/p>\n\n\n\n

https:\/\/agu.confex.com\/agu\/fm19\/prelim.cgi\/Session\/79284<\/a><\/p>\n\n\n\n

A111 – Reducing uncertainty in aerosol effects on climate<\/p>\n\n\n\n

https:\/\/agu.confex.com\/agu\/fm19\/prelim.cgi\/Session\/76712<\/a><\/p>\n\n\n\n

A136 – Urban Climate Informatics — from sourcing to (deep)\nlearning<\/p>\n\n\n\n

https:\/\/agu.confex.com\/agu\/fm19\/prelim.cgi\/Session\/81563<\/a><\/p>\n\n\n\n

IN002 – Advanced Geospatial Cyberinfrastructure for Deep\nLearning<\/p>\n\n\n\n

https:\/\/agu.confex.com\/agu\/fm19\/prelim.cgi\/Session\/74455<\/a><\/p>\n\n\n\n

H038 – Conventional and Enhanced Geothermal Systems:\nCharacterization, Integration, Stimulation, Simulation, and Induced Seismicity<\/p>\n\n\n\n

https:\/\/agu.confex.com\/agu\/fm19\/prelim.cgi\/Session\/80861<\/a><\/p>\n\n\n\n

GC039 – Four Decades and Counting: NASA Earth Observations and Agricultural Monitoring <\/p>\n\n\n\n

https:\/\/agu.confex.com\/agu\/fm19\/prelim.cgi\/Session\/80239<\/a><\/p>\n\n\n\n

A116 – Seasonal to Multi-Seasonal Earth System Prediction and its Applications <\/p>\n\n\n\n

https:\/\/agu.confex.com\/agu\/fm19\/prelim.cgi\/Session\/81965<\/a><\/p>\n\n\n\n

GC068 – Quantifying impacts in socio-environmental systems\nthrough the application of remote sensing and machine learning<\/p>\n\n\n\n

https:\/\/agu.confex.com\/agu\/fm19\/prelim.cgi\/Session\/77863<\/a><\/p>\n\n\n\n

\n","protected":false},"excerpt":{"rendered":"

The Hydrologic Uncertainty Technical committee\u2019s mission includes three \u201cbig research questions\u201d. The second is \u201cHow to reduce uncertainty in understanding, modelling, and predicting the future of coupled human-hydrologic systems?\u201d We\u2019ve put together a list of sessions that emphasizes this research<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0},"categories":[9],"tags":[],"jetpack_featured_media_url":"","_links":{"self":[{"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/posts\/896"}],"collection":[{"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/comments?post=896"}],"version-history":[{"count":3,"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/posts\/896\/revisions"}],"predecessor-version":[{"id":906,"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/posts\/896\/revisions\/906"}],"wp:attachment":[{"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/media?parent=896"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/categories?post=896"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/tags?post=896"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}