PPT-China daily Extreme precipitation GEV fitting

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 19512013. 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 . . Mean and Extreme Precipitation. Brant Liebmann. NOAA Earth System Research Laboratory and University of . Colorado. Boulder, . Colorado, USA . Leila . M. V. . Carvalho. University of California at Santa Barbara . 1 Annual Precipitation China can roughly be divided into four different agro-climatic zones: Source: Chinamaps.org Source: Chinamaps.org Annual average temperature Land use in China 2009 Source: Ch Precipitation Processing System (PPS. ). GPM Mission Gridded Text Products . Provide Surface Precipitation Retrievals. Erich Franz . Stocker. , O. Kelley, C. . Kummerow. , G. . . Huffman. , . W. Olson, J. Kwiatkowski . 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. of observationally . based, high resolution. . gridded data sets over the continental United States. Ruben . Behnke. – UMT Missoula, UW Madison. Andrew . Allstadt. – UW Madison. Jared . Oyler. 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. CRISTIAN MARTINEZ-VILLALOBOS. 1. and J. DAVID NEELIN. 1. 2017 AGU FALL MEETING, NEW ORLEANS. DeCEMBER. 14, 2017. 1. Department of Atmospheric and Oceanic Sciences, UCLA. LARGE ACCUMULATIONS ARE CONTROLLED BY CUTOFF SCALE . 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. we. get from . climate. . models. . with. . higher. resolution?. Gustav . Strandberg. *, Paula Gonzalez, . Galia. . Guentchev. and Gerard van der . Schrier. . *Swedish Meteorological and Hydrological Institute .