We think you have liked this presentation. If you wish to download it, please recommend it to your friends in any social system. Share buttons are a little bit lower. Thank you!
Presentation is loading. Please wait.
Published byBailey Little
Modified over 2 years ago
© Crown copyright Met Office Radiation Parametrisation Current development work with the UM James Manners, visit to Reading University on 19 th February 2008
© Crown copyright Met Office Areas currently being investigated/trialled Split time-stepping scheme (k-terms for the window regions called more often) Orographic correction to surface SW fluxes Simple cloud inhomogeneity schemes (scaling + partially correlated overlap) Cloud generator / McICA Adaptive schemes (find perturbations due to cloud and call radiation when needed) Treatment of gaseous absorption (Zhong / Sun), ice parametrisation (Baran), UM radiance code, Robin Hogans new solvers…
© Crown copyright Met Office Cloud Inhomogeneity Work last year involved CRM tests to identify appropriate scaling values (horiz. Inhom.) and decorrelation lengths (vert. overlap) for LW and SW radiation. This scheme is fully coded in the UM and being trialled for HadGEM3. The cloud generator of Raisanen et al, 2004 is being tested for use within a McICA scheme. Cloud with acceptable radiative properties can be generated using 2 parameters: standard deviation of condensate (horizontal), and decorrelation length of vertical overlap. Single Column Scheme: Sub-grid Scheme:
© Crown copyright Met Office Comparison of generated cloud with CRM cloud. The x-axis displays sub- grid column ordered from the left by total column cloud condensate.
© Crown copyright Met Office Cloud generator parameters suitable for Cloud-Net data over Chilbolton. One set of parameters can be used for all the cases studied over Chilbolton. CRM studies of the tropical west pacific require a larger overlap parameter.
© Crown copyright Met Office Possible adaptive schemes for the future… Speed of the radiation scheme is an issue for the desired new resolutions of the UM. A fast scheme (eg. using a very simple spectral file) calculates perturbations due to changes in cloud. When the perturbations are too large the full radiation scheme is called again. Full calculations at some grid-points, others use the results from a nearby grid-point that has the closest cloud properties. Temporal scheme: Spatial scheme:
© Crown copyright Met Office Questions and answers
© Crown copyright Met Office Radiation developments Latest work on the radiation code in the Unified Model James Manners, Reading collaboration meeting.
© Crown copyright Met Office A New Radiative Time- stepping Scheme A short description of the time-stepping scheme test Peter Hill, 19 Feb 2008.
19 February The Tripleclouds scheme Jon Shonk and Robin Hogan.
Robin Hogan Ewan OConnor Anthony Illingworth Department of Meteorology, University of Reading UK PDFs of humidity and cloud water content from Raman lidar.
Robin Hogan Anthony Illingworth, Sarah Kew, Jean- Jacques Morcrette, Itumeleng Kgololo, Joe Daron, Anna Townsend Quantifying sub-grid cloud structure and.
© Crown copyright Met Office Radiation scheme for Earth’s atmosphere …and what might not work for exoplanets James Manners 6/12/11.
Robin Hogan & Anthony Illingworth Department of Meteorology University of Reading UK Parameterizing ice cloud inhomogeneity and the overlap of inhomogeneities.
Tuesday 17 November Buffet Lunch Plenary session (overviews of work at each institute) – 1.15 Radiation work at Reading (Hogan) – 1.30.
Two adaptive radiation parameterisations Annika Schomburg 1), Victor Venema 1), Felix Ament 2), Clemens Simmer 1) 1) Department of Meteorology, University.
(A) Future of Radiation Parameterizations in CAM Bill Collins National Center for Atmospheric Research
Robin Hogan Julien Delanoe University of Reading Remote sensing of ice clouds from space.
Dynamical and Microphysical Evolution of Convective Storms (DYMECS) University: Robin Hogan, Bob Plant, Thorwald Stein, Kirsty Hanley, John Nicol Met Office:
Initial 3D isotropic fractal field An initial fractal cloud-like field can be generated by essentially performing an inverse 3D Fourier Transform on the.
Cloud feedbacks in ECHAM5: preparatory results for CMIP5 Daniel Klocke Johannes Quaas, Marco Giorgetta Max-Planck-Institut für Meteorologie KlimaCampus,
Robin Hogan (with input from Anthony Illingworth, Keith Shine, Tony Slingo and Richard Allan) Clouds and climate.
© Crown copyright Met Office Towards understanding the mechanisms responsible for different cloud-climate responses in GCMs. Mark Webb, Adrian Lock (Met.
Shortwave Radiation Options in the WRF Model An oh-so fascinating study of the Dudhia, Goddard and RRTMG shortwave schemes.
© Crown copyright Met Office Systematic Biases in Microphysics: observations and parametrization Ian Boutle, Steven Abel, Peter Hill, Cyril Morcrette QJ.
© Crown copyright Met Office Convection Permitting Modelling Humphrey Lean et al. Reading, UK Leeds April 2014.
Korea Institute of Atmospheric Prediction Systems (KIAPS) ( 재 ) 한국형수치예보모델개발사업단 Comparison of Radiation Schemes Using a Single Colum Model Joonsuk Lee Jung-Yoon.
1 00/XXXX © Crown copyright Update on the Met Office forecast model. Damian Wilson, Met Office.
EWGLAM Oct Some recent developments in the ECMWF model Mariano Hortal ECMWF Thanks to: A. Beljars (physics), E. Holm (humidity analysis)
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Southern Ocean cloud biases in ACCESS.
Motivation Many GOES products are not directly used in NWP but may help in diagnosing problems in forecasted fields. One example is the GOES cloud classification.
“Spatial ensemble characterisation for summer convective cases” S. Dey Supervisors: R. Plant, N. Roberts and S. Migliorini Mesoscale group 03/06/2014.
DYMECS: Dynamical and Microphysical Evolution of Convective Storms (NERC Standard Grant) University of Reading: Robin Hogan, Bob Plant, Thorwald Stein,
1 00/XXXX © Crown copyright Carol Roadnight, Peter Clark Met Office, JCMM Halliwell Representing convection in convective scale NWP models : An idealised.
Application of an adaptive radiative transfer parameterisation in a mesoscale numerical weather prediction model DWD Extramural research Annika Schomburg.
© Crown copyright Met Office Cloudier Evaluating a new GCM prognostic cloud scheme using CRM data Cyril Morcrette, Reading University, 19 February 2008.
Cloud optical properties: modeling and sensitivity study Ping Yang Texas A&M University May 28,2003 Madison, Wisconsin.
Ewan OConnor, Robin Hogan, Anthony Illingworth Drizzle comparisons.
Page 1© Crown copyright 2004 WP5.3 Assessment of Forecast Quality ENSEMBLES RT4/RT5 Kick Off Meeting, Paris, Feb 2005 Richard Graham.
Evaluation of ECHAM5 General Circulation Model using ISCCP simulator Swati Gehlot & Johannes Quaas Max-Planck-Institut für Meteorologie Hamburg, Germany.
COMPARISON OF RITTER- GELEYN RADIATON CODE TO LBL MODEL RTX PRELIMINARY RESULTS Alessio Bozzo – ADGB Phys. dep. Univ. of Bologna ARPA-SIM 7th COSMO General.
© Crown copyright Met Office UM Drizzle 5 minute presentation Jonathan Wilkinson, Reading and Met Office Collaboration, 19 February 2008.
Comparison of Different Approaches NCAR Earth System Laboratory National Center for Atmospheric Research NCAR is Sponsored by NSF and this work is partially.
Testing LW fingerprinting with simulated spectra using MERRA Seiji Kato 1, Fred G. Rose 2, Xu Liu 1, Martin Mlynczak 1, and Bruce A. Wielicki 1 1 NASA.
Diagnosis and improvement of cloud parametrization schemes in NCEP/GFS using multiple satellite products 1 Hyelim Yoo, 1 Zhanqing Li 2 Yu-Tai Hou, 2 Steve.
Diagnosing Climate Change from Satellite Sounding Measurements – From Filter Radiometers to Spectrometers William L. Smith Sr 1,2., Elisabeth Weisz 1,
Results of an Adaptive Radiative Transfer Parameterisation for the Lokal-Modell LM-User-Seminar 5 th – 7 th March 2007, Langen Annika Schomburg 1), Victor.
Attempts to improve distribution of boundary layer clouds in AFES Akira Kuwano-Yoshida, Takeshi Enomoto and Wataru Ohfuchi Earth Simulator Center, JAMSTEC,
© Crown copyright Met Office OBR conference 2012 Stephan Havemann, Jean-Claude Thelen, Anthony J. Baran, Jonathan P. Taylor The Havemann-Taylor Fast Radiative.
Estimation of Potential Evapotranspiration from Merged CERES and MODIS Observations Anand Inamdar & A. French Arid Land Agricultural Research Center (ALARC/ARS/USDA)
© Crown copyright Met Office UK report for GOVST Matt Martin GOVST-V, Beijing, October 2014.
Page 1 Met Office © Crown copyright 2007 CAMM model performance assessed during DODO2 Steph Woodward – climate model dust scheme Glenn Greed – implementation.
1 Proposed new uses for the Ceilometer Network Christine Chiu Ewan OConner, Robin Hogan, James Holmes University of Reading.
Page 1© Crown copyright Cloud-resolving simulations of the tropics and the tropical tropopause layer Glenn Shutts June
© British Crown copyright 2014 Met Office A comparison between the Met Office ETKF (MOGREPS) and an ensemble of 4DEnVars Marek Wlasak, Stephen Pring, Mohamed.
© 2017 SlidePlayer.com Inc. All rights reserved.