PPT-Extreme precipitation

Author : celsa-spraggs | Published Date : 2017-09-24

Ethan Coffel SREX Ch 3 Lowmedium confidence in heavy precip changes in most regions due to conflicting observations or lack of data Medium confidence in Europe

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Extreme precipitation: Transcript


Ethan Coffel SREX Ch 3 Lowmedium 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 . 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 . . 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. Dan Bikos, Edward Szoke, Steven Miller, Stanley Kidder, Christian Kummerow,. . Cindy Combs,. Scott Longmore. . *. Paula Brown. Cooperative Institute for Research in the Atmosphere (CIRA). *. Department of Atmospheric Science. 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. Typhoon Season in Taiwan. Pao-Shin Chu, . Hanpei. Zhang, Kristine . Tofte. Department of Atmospheric Sciences, University of Hawaii. and. Huiling. Chang and T.L. Chen. Central Weather Bureau. Presented at the NCU’s Department of Atmospheric Sciences, 3/28/2017. Artificial rain making.. Process of Precipitation:. Precipitation is caused by condensation of water . vapours. of the air mass. . The ascending air mass with sufficient amount of water . vapours. becomes saturated due to adiabatic cooling. Condensation of water . 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.

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