PPT-Informal Summary of the Extreme Precipitation in WA State from

2530 Nov 2014 Marty Ralph 1 Larry Schick 2 1 Center for Western Weather and Water Extremes CW3E at UC San DiegoScripps Institution of Oceanography La Jolla CA 2 US Army Corps of Engineers Seattle WA. C. limatic . M. odel (. RegCM. ) and . G. eorgia. Bagrat. . Kikvadze. a_kikvadze@yahoo.com. PhD Student of Geography . Ivane. . Javakhishvili. Tbilisi State University, Georgia. There is a general agreement that intensification of global warming will increase the frequency and intensity of extreme weather and climate events . . A . Comedy. , in Some . Small Number . of Parts. Presented for your . Edification. and . Approbation. by. D. Hunter . Esq. PhD. Prologue. The Setup. In which Our . slightly-haggard . and Visibly-Ageing Protagonist outlines the . Is the Frequency and Magnitude of Extreme Hydrological Events Changing in Southern New York State?. Adao. Matonse. 1. , Allan Frei. 2. , David Lounsbury. 1. Donald Pierson. 1. , Mark Zion. 1. , and Elliot Schneiderman. extratropical. cyclones: their influence on extreme precipitation events in the . UK. Suzanne Gray. Ruari. Rhodes. , Len . Shaffrey. Jointly sponsored . by . University of Reading and Lloyds Banking Group. Director, National Climatic Data Center. A Perspective on Understanding Changes in . Weather and Climate Extremes . Plant Sector Workshop. March 21, 2012. Outline. Motivation. Billion-dollar Disasters. Ethan Coffel. SREX Ch. 3. Low/medium confidence in heavy . precip. changes in most regions due to conflicting observations or lack of data. Medium confidence in Europe: winter . precip. has increase in some areas, but summer . Extreme Temperature and Precipitation . Forecasts at the NCEP-WPC. . Lance F. . Bosart. , Daniel Keyser, and Andrew C. Winters. Department . of Atmospheric and Environmental Sciences . University at Albany, State University of New York, Albany, NY . MDOT Climate Vulnerability. Assessment. Vulnerability Introduction. Identify types of risk MDOT infrastructure. Identify specific “at-risk” assets. Identify method to incorporate risk into asset management systems and FHWA Framework. Jun Sun . Fuqing. Zhang. outline. Data. Method. GEV-. Generalized Extreme Value (GEV) distribution . model fitting. Results. Linear Trend . Return level and return period. summary. Data. Rain . gauge daily precipitation form 1951-2013;. Idar Barstad. Idar.Barstad. @uni.no. Uni Research – (. UniComputing / Bjerknes Centre for Climate Research). Motivation: . Orographic precipitation and climate change. Results from a small-scaled field campaign. 23AThe authors wish to thank the Folke Bernadotte Academy for providing the financial support to produce this report as well as providing the authors with comments and suggestions The authors would al Plant. . Growth. Lecture 22: . Drought indices and drought tolerance strategies. . . Drought. . tolerance. . traits.. Drought . A prolonged. . period of abnormally low rainfall, leading to a shortage of water.. we. get from . climate. . models. . with. . higher. resolution?. Gustav . Strandberg. *, Paula Gonzalez, . Galia. . Guentchev. and Gerard van der . Schrier. . *Swedish Meteorological and Hydrological Institute . Lucrezia Ricciardulli, Thomas Meissner, Frank Wentz. Remote Sensing Systems, Santa Rosa, CA, USA. INTERNATIONAL WORKSHOP ON MEASURING. HIGH WIND SPEEDS OVER THE OCEAN. November 2016, UK MET OFFICE, Exeter, UK.