PPT-Biases in the diurnal cycle of convection in convection permitting configurations
Author : amber | Published Date : 2022-06-20
of the UM in different parts of the world Humphrey Lean Kirsty Hanley Stuart Webster Will Keat Thorwald Stein Todd Lane Martin Jucker Elizabeth Kendon and Giorgia
Presentation Embed Code
Download Presentation
Download Presentation The PPT/PDF document "Biases in the diurnal cycle of convectio..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.
Biases in the diurnal cycle of convection in convection permitting configurations: Transcript
of the UM in different parts of the world Humphrey Lean Kirsty Hanley Stuart Webster Will Keat Thorwald Stein Todd Lane Martin Jucker Elizabeth Kendon and Giorgia Fosser Met Office has run 15km UK version of Unified Model for about 10 years UKV . Dea Doklestic . G&G 570 Class . Project. Heat Budget Group Presentation, June 16, 2011. Questions. How do clouds influence surface heat budget?. How are turbulent heat fluxes influenced during overcast conditions?. in . Near. -Surface Salinity. Kyla Drushka. 1. , . Sarah . Gille. 2. , Janet . Sprintall. 2. . kdrushka. @. apl.uw.edu. 1. Applied . Physics Lab, Univ. of . Washington . 2. Scripps Inst. of Oceanography. Qian Tan (USRA), . Mian. Chin (GSFC), Jack Summers (EPA), Tom Eck (GSFC), . Hongbin. Yu (UMD), . Caterina. . Tassone. (NOAA. ), Yan Zhang (MSU), . EPA/AQS, NASA/AERONET, NOAA/NCDC . Outline. Diurnal variability of surface PM2.5. precipitation variability over the Gulf Stream and . the Kuroshio. Shoshiro Minobe . and Shogo . Takabeyashi. (Hokkaido University, Sapporo, Japan) . Outline. . Introduction. . Global View. . Gulf Stream . De nition :Anr-cycleisdenotedby(i1i2:::ir):Example :11=(1)1 cycle1212=(1)1 cycle1221=(12)2 cycle123321=(13)2 cycle123231=(123)3 cycle12344312=(1423)4 cycle1234535421=(13425)5 cycle12345 Kaustav. . Chakravarty. Richard H. Johnson. Paul E. . Ciesielski. Colorado State University. J. L. Davison. University of Louisville. Third Symposium on Prediction of the Madden-Julian Oscillation: Processes, Prediction and . Richard H. Johnson. Colorado State University. T. . Ushiyama. (Andy . Newman , Brian . McNoldy. , and Paul . Ciesielski. ). MAHASRI/. HyARC. workshop, 5-7 March 2009, . DaNang. , Vietnam . Why do we care about the diurnal cycle?. in Hainan Island. Lei Zhu. Paul . Markowski. , . Zhiyong. . Meng. and . Fuqing. Zhang. Research purpose. T. ry to understand the climatology . of . diurnal. . precipitation cycle in Hainan Island. Learning Objectives. Recognize that bias is human and that it impacts all parts of all of our lives. Identify the negative consequences of bias are. Develop strategies to become more aware of and mitigate our biases. Tang, S., P. . Gleckler. , S. . Xie. , J. Lee, C. Covey, C. Zhang, M.-S. . Ahn. , 2021: Evaluating Diurnal and Semi-Diurnal Cycle of Precipitation in CMIP6 Models Using Satellite- and Ground-Based Observations. . Luke Oman. luke.d.oman@nasa.gov. SAGE III/ISS STM – Oct. 30, 2019 . 1. Luke Oman. 1. , Sarah Strode. 1,2. , . Ghassan Taha. 1,2. , and Mark Schoeberl. 3. 1. NASA/GSFC, Greenbelt, MD, USA. 2. University Space Research Association, Columbia, MD, USA. over Sumatra Island, Indonesia, on. synoptic disturbances and its relation to. the Madden-Julian Oscillation. Ayako SEIKI, Satoru YOKOI, and Masaki KATSUMATA. (JAMSTEC, Japan). Seiki et al. (2021), JMSJ. Shuaiqi Tang. Pacific Northwest National Laboratory, Richland, WA, USA. 6/18/2022. Collaborators: Shaocheng Xie, Cheng Tao, Hsi-Yen Ma, and many others. Outline. Common issues in simulating diurnal cycle of precipitation (DCP) . Claire . Bulgin. University. of Reading, National Centre for . Earth. Observation. Background. Every measurement we make (both in-situ or remotely sensed) deviates from the ‘true’ surface temperature due imperfections in the instrumentation and measurement process. Therefore, in order to use the data correctly, you must consider the uncertainty in the measurement..
Download Document
Here is the link to download the presentation.
"Biases in the diurnal cycle of convection in convection permitting configurations"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.
Related Documents
