PPT-The MJO Response to Warming in Two Super-Parameterized

GCMs Nathan Arnold 12 with Eli Tziperman 1 Zhiming Kuang 1 David Randall 2 and Mark Branson 2 1 Harvard University 2 Colorado State University Tropical Dynamics Workshop. Definition The MJO is an intraseasonal fluctua tion or wave occurring in the glob al tropics The MJO is responsible for the majority of weather variability in these regi ons and results in variations in several important atmospheric and oceanic par Webinar . Series. Dynamics of the Madden-Julian Oscillation Field Campaign. Climate Variability. . & Predictability. Shipboard Measurements of Aerosol Chemical, Physical, and Optical Properties during . MJO dynamics and model bias in DYNAMO . hindcasts.  . Eric D. Maloney, Colorado State University. Co. ntributors. : . Walter Hannah, Emily Riley, Adam . Sobel. , WGNE MJO Task Force . We acknowledge: NOAA ESS Program, NSF Climate and Large Scale Dynamics, NASA CYGNSS. differences in the vertical structure of the MJO from IGRA radiosonde data . Katherine H. Straub. 1. , Benjamin Schaeffer. 1. , and Patrick T. Haertel. 2. 1. Susquehanna University, Selinsgrove, PA . Webinar . Series. Dynamics of the Madden-Julian Oscillation Field Campaign. Climate Variability. . & Predictability. Application of DYNAMO/AMIE observations to validate and improve the representation of MJO initiation and propagation in the NCEP CFSv2. Factors affecting forecast skill of the MJO over the Maritime Continent. Augustin Vintzileos. CPC/NCEP . – . CICS/ESSIC. , University of Maryland College . Park. Jon . Gottschalck. CPC/NCEP. Problem statement:. Naoko Sakaeda and Paul Roundy. Dept. Atmospheric and Environmental Sciences. From Roundy (2014, J. Atmos. . Sci. ). From Roundy (2014, J. Atmos. . Sci. ). Data. Wind data from CFS Reanalysis data (. Saha. vs. . Remote effect. Sourav Taraphdar. 1. Collaborators. :. 1. . Fuqing. Zhang, . Yonghui. . Weng. , Michael (Yue) Ying. 2. . Shuguang. Wang. 3. Juan . Fang. 1. Department of Meteorology, The Pennsylvania State University, . 8:00am . Talks, nominally 15 minutes, with time for questions and discussion. ..  . Jim Moum / BAMS outline. . Aurélie. Moulin / diurnal warm layer. Bill Smyth. Alan . Brewer.  . 9. :30 . coffee. Parameterization. Parameterization is used to change the value of any variable at run time.. Following can be parameterized in a script file:-.  . URL portion.  . Header portion.  . BODY portion. Observation and Simulation . Yongqiang Sun, Michael Ying, . Shuguang. Wang, . Fuqing. Zhang. Group meeting. 07-19-2013. Wheeler and . Kiladis. . 1999. . . Kiladis. . et al. 2009. 2-Day. Motivation: . using Parameterized Program Equivalence. University of California, San Diego. Sudipta. . Kundu. Zachary . Tatlock. Sorin. Lerner. Compiler Correctness. Difficult to develop reliable compilers:. large, complex programs. PI: Cristiana Stan, George Mason University/COLA. Atlantic wind-shear and its relationship with ENSO. S. ummer precipitation in the . eastern . U.S. . . Acknowledgement: . Xiaojie. Zhu and Li . Xu. Global warming is when the earth heats up and the temperature increases. More recently, the temperatures have been rising, causing more dangers for people, animals, plants and our environment.. The Greenhouse Effect.