{"id":893,"date":"2019-07-11T01:21:22","date_gmt":"2019-07-11T05:21:22","guid":{"rendered":"http:\/\/hydrouncertainty.org\/?p=893"},"modified":"2019-07-11T01:37:13","modified_gmt":"2019-07-11T05:37:13","slug":"agu-2019-fall-meeting-sessions-characterizing-uncertainty","status":"publish","type":"post","link":"http:\/\/hydrouncertainty.org\/2019\/07\/11\/agu-2019-fall-meeting-sessions-characterizing-uncertainty\/","title":{"rendered":"AGU 2019 Fall Meeting Sessions: Characterizing Uncertainty"},"content":{"rendered":"\n

The Hydrologic Uncertainty Technical committee\u2019s mission<\/a> includes three \u201cbig research questions\u201d. The first is \u201cHow to improve the credibility and computational efficiency of approaches and tools for characterizing uncertainty in both natural and engineered hydrologic processes?\u201d We\u2019ve put together a list of sessions that emphasizes this research problem.<\/p>\n\n\n\n

\n\n\n\n

Uncertainty and Sensitivity Analysis: Methodological\nAdvances<\/h2>\n\n\n\n

H044 – Diagnostics, Sensitivity, and Uncertainty Analysis of\nEarth, Hydrologic and Environmental Models, Including Multiple Hypotheses and\nExtremes<\/strong><\/p>\n\n\n\n

https:\/\/agu.confex.com\/agu\/fm19\/prelim.cgi\/Session\/85481<\/a><\/p>\n\n\n\n

H002 – Advances and Applications of Data Integration,\nInverse Methods, and Machine Learning in Hydrogeophysics<\/p>\n\n\n\n

https:\/\/agu.confex.com\/agu\/fm19\/prelim.cgi\/Session\/71766<\/a><\/p>\n\n\n\n

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

A069 – Extreme Weather Events: Forecast skill, Uncertainty\nQuantification and Impact Modeling<\/p>\n\n\n\n

https:\/\/agu.confex.com\/agu\/fm19\/prelim.cgi\/Session\/80909<\/a><\/p>\n\n\n\n

H071 – Heterogeneity, upscaling and uncertainty\nquantification in subsurface flow and transport<\/p>\n\n\n\n

https:\/\/agu.confex.com\/agu\/fm19\/prelim.cgi\/Session\/76176<\/a><\/p>\n\n\n\n

B078 – Multi-hypothesis studies of ecological and\nhydrological systems<\/p>\n\n\n\n

https:\/\/agu.confex.com\/agu\/fm19\/prelim.cgi\/Session\/82170<\/a><\/p>\n\n\n\n

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

NG001 – Advances in Data Assimilation, Predictability and Uncertainty Quantification<\/p>\n\n\n\n

https:\/\/agu.confex.com\/agu\/fm19\/prelim.cgi\/Session\/72944[CX1]<\/a><\/p>\n\n\n\n

GC047 – Interpretation and Uncertainty Quantification of\nClimate, Earth System, and Integrated Assessment Models<\/p>\n\n\n\n

https:\/\/agu.confex.com\/agu\/fm19\/prelim.cgi\/Session\/72457<\/a><\/p>\n\n\n\n

NG011 – Uncertainty Quantification and Error\nCharacterization in Remote Sensing<\/p>\n\n\n\n

https:\/\/agu.confex.com\/agu\/fm19\/prelim.cgi\/Session\/76526<\/a><\/p>\n\n\n\n

V055 – Volcanic Hazard Modeling, Risk Assessment and\nUncertainty Quantification<\/p>\n\n\n\n

https:\/\/agu.confex.com\/agu\/fm19\/prelim.cgi\/Session\/78179<\/a><\/p>\n\n\n\n

SM039 – Uncertainty Quantification and Statistical Best\nPractices for Space Weather<\/p>\n\n\n\n

https:\/\/agu.confex.com\/agu\/fm19\/prelim.cgi\/Session\/78947<\/a><\/p>\n\n\n\n

G004 – Geodetic InSAR Time-series Analysis; Applications and\nUncertainty Quantification<\/p>\n\n\n\n

https:\/\/agu.confex.com\/agu\/fm19\/prelim.cgi\/Session\/82055<\/a><\/p>\n\n\n\n

A010 – Assessing Atmospheric Instrumental Uncertainty and\nMeasurement Consistency<\/p>\n\n\n\n

https:\/\/agu.confex.com\/agu\/fm19\/prelim.cgi\/Session\/76153<\/a><\/p>\n\n\n\n

NH033 – Quantifying Uncertainty in Probabilistic Storm Surge\nEstimates – Recent Advances in Research and Applications<\/p>\n\n\n\n

https:\/\/agu.confex.com\/agu\/fm19\/prelim.cgi\/Session\/83417<\/a><\/p>\n\n\n\n

GC087 – Uncertainty in Recent and Future Sea-Level Change<\/p>\n\n\n\n

https:\/\/agu.confex.com\/agu\/fm19\/prelim.cgi\/Session\/76965<\/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 first is \u201cHow to improve the credibility and computational efficiency of approaches and tools for characterizing uncertainty in both natural and engineered hydrologic processes?\u201d We\u2019ve put together a<\/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\/893"}],"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=893"}],"version-history":[{"count":3,"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/posts\/893\/revisions"}],"predecessor-version":[{"id":901,"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/posts\/893\/revisions\/901"}],"wp:attachment":[{"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/media?parent=893"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/categories?post=893"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/tags?post=893"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}