for S2D forecasting EUPORIAS wp31 Nov 2012 Ronald Hutjes Background S2D impact prediction Uncertainty explosion Skill implosion SST Weather Downscaling Soil moisture Plant productivity ID: 512040 Download Presentation
Objective. The Los Alamos Sea Ice model has a number of input parameters for which accurate values are not always well established. . We conduct a variance-based sensitivity analysis . of hemispheric sea ice properties to 39 input parameters. The method accounts for non-linear and non-additive effects in the model..
John L. Campbell. 1. , Ruth D. Yanai. 2. , Mark B. . Green. 1,3. , Carrie . Rose . Levine. 2. , Mary Beth Adams. 1. , Douglas A. Burns. 4. ,. . Donald C. Buso. 5. , . Mark E. Harmon. 6. , Trevor Keenan.
In collaboration with:. Elizabeth Whitaker, Erica Briscoe, Ethan . Trewhitt. , . Georgia Tech. Kevin Murphy, Frank Ritter, John . Horgan. , Penn State. Caroline Kennedy-Pipe, . Univ. of Hull. Presented to:.
Stanford University, USA. A strategy for managing uncertainty. Importance of uncertainty and risk. New well planned. P1. P2. P3. P4. West-Coast Africa (WCA) slope-valley system. Data courtesy of Chevron.
An Evaluation of Development Viability. Peter Byrne. Pat McAllister. Peter Wyatt. www.henley.reading.ac.uk/rep/fulltxt/0810.pdf. Structure. Main Research questions. Background and context. Current practice.
Cambridge, 28 November 2013. Helga . Nowotny. The odds for tomorrow: promises, policy and. the publics under conditions of uncertainty. The . odds. . for. . tomorrow. Between fear and confidence. What is a promise and what does it do .
By: Daniel Mason-. D’Croz. & . Shahnila. Islam. What are scenarios. Scenarios are plausible futures. Scenarios are what-if stories used to explore future uncertainties. Scenarios can be told in narratives, numbers, and even images.
In response Impact Forecasting RQ57347HQILHOG57526V57347FDWDVWURSKH57347PRGHO57347GHYHORSPHQW57347FHQWUH57347RI excellence has enhanced ELEMENTS ELEMENTS is a completely open and customisable loss calculation SODWIRUP57347DW57347WKH57347IRUHIURQW573
environmental research. Liew Xuan Qi (A0157765N). Cheong Hui Ping (A0127945W). Hong Chuan Yin (A0155305M). Best Practice Approaches for Characterizing, Communicating, and Incorporating Scientific Uncertainty in Climate Decision Making.
Nick Bloom (Stanford & NBER). Harvard, April 23. rd. and 30. th. Talk summarizes . a forthcoming JEP article (& a work-in-progress longer JEL). Talk summarizes . a forthcoming JEP article (& a work-in-progress longer JEL).
for S2D forecasting. EUPORIAS wp31. Nov 2012, Ronald Hutjes. Background. S2D impact prediction. Uncertainty explosion / Skill implosion ??. SST. Weather. (Downscaling). Soil moisture. Plant productivity.
Download Presentation - The PPT/PDF document "Quantifying uncertainty in impact models" is the property of its rightful owner. Permission is granted to download and print the materials on this web site for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.
© 2021 docslides.com Inc.
All rights reserved.