PPT-The potential to reduce uncertainty in regional runoff projections from climate models
Author : reportperfect | Published Date : 2020-10-22
Flavio Lehner Andrew W Wood Julie A Vano David M Lawrence Martyn P Clark Justin S Mankin Nature Climate Change 9 926933 2019 doi101038s415580190639x APPROACH
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The potential to reduce uncertainty in regional runoff projections from climate models: Transcript
Flavio Lehner Andrew W Wood Julie A Vano David M Lawrence Martyn P Clark Justin S Mankin Nature Climate Change 9 926933 2019 doi101038s415580190639x APPROACH. G.S. Karlovits, J.C. Adam, Washington State University. 2010 AGU Fall Meeting, San Francisco, CA. Outline. Climate change and uncertainty in the Pacific Northwest. Data, model and methods. Climate data. Peter Guttorp. peter.guttorp@nr.no. www.stat.washington.edu. /peter. Acknowledgements. Anders . Moberg. for observed data. Erik . Kjellstr. öm. for model data. Overview. Observations. Predictions. for S2D forecasting. EUPORIAS wp31. Nov 2012, Ronald Hutjes. Background. S2D impact prediction. Uncertainty explosion / Skill implosion ??. SST. Weather. (Downscaling). Soil moisture. Plant productivity. Chapter 1: Introduction. Olivia Clifton. Seminar on IPCC AR5 WG1. Columbia University. 01/31/2014. Goals of Chapter 1 of IPCC AR5 WG1 . Focus on the concepts & definitions applied in the discussions of new findings . resources of the western U.S.. Dennis P. Lettenmaier. Department of Civil and Environmental Engineering. University of Washington. University of . Texas Austin. Center for Integrated Earth System Science Seminar Series. 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. Advanced Atmospheric and Oceanic Science Lecture Series, NUIST . 南京. . Downscaling. : empirical and dynamical, atmosphere and . ocean. Hans von Storch. Geesthacht. , Hamburg and Qingdao. Scaling. Patrick Jantz, Tina. Cormier, Scott Zolkos, . Scott Goetz and the LCCVP Group. NASCB July 10, 2014. Missoula, MT. Photo credit: . Andri. . Kyrychok. Appalachian LCC. Appalachian LCC. Summarize existing species distribution model results for the eastern U.S. (Iverson et al. 2008, . Seas (CLIMSEA). Helén Andersson, Markus Meier, Matthias Gröger, Christian Dieterich. RCP8.5. RCP4.5. 2. o. C. Temperature. . change. in the Baltic Sea . Ice. . extent. Modell . Observations. EC-EARTH RCP4.5. Platform . (NCPP) . Introduction, Status, Plans. August 23, 2011. NCPP Core Organizing Team. (Richard B. Rood, . presenting. ). Core Organizing Team . (20110823). Ammann. , Caspar. Anderson, Donald. Past, Present, and Future Tropical Cyclone Activity Jacob Carstens 1 , Christopher Uejio 2 , and Allison Wing 1 1 Department of Earth, Ocean, and Atmospheric Science, Florida State University, Tallaha Kerry Emanuel. Program in Atmospheres, Oceans, and Climate. MIT. Some Issues. What processes control rates of genesis of tropical cyclones?. What processes control the actual and potential intensity of TCs? . Andrew Levan. For fans of probability, confidence intervals and margins of error, climate change is a dream come true. For everyone else, the fact that uncertainty (inherent in any complex area of science) has gradually become one of climate change's defining features is a constant headache. Because uncertainty – real or manufactured – is a well-rehearsed reason for inaction. Current Conditions and Policy Implications. Tony Sorensen. Adjunct Professor. BCSS, UNE. Aims. To explore the sources of economic, social and political uncertainty, especially at the regional level. To express the view that we are on a rising tide...
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