CFMIP-2 : Cloud Feedback Model Intercomparison Project Phase 2
|
|
- Gilbert Hardy
- 8 years ago
- Views:
Transcription
1 CFMIP-2 : Cloud Feedback Model Intercomparison Project Phase 2 Sandrine Bony on behalf of the CFMIP coordination committee From Victoria to Hamburg WGCM meetings : 2006 WGCM meeting: necessity to develop closer collaborations between CFMIP (focused on cloudclimate interactions) and GEWEX-GCSS (cloud processes and parameterizations). Jan 2007: the GEWEX SSG panel supports plans for GCSS-CFMIP collaboration. Apr 2007: international CFMIP workshop held in Paris to strengthen the links between CFMIP, GCSS, CMIP and US-CPT activities, and lay the foundations for a CFMIP-2 proposal. Jul 2007: CFMIP coordination committee extended: M. Webb, S. Bony, C. Bretherton, G. Tselioudis. Aug 2007: draft of CFMIP-2 proposal available at : Outline of this presentation : Clouds in climate modeling challenges Main aspects of the CFMIP-2 proposal Questions/requests to WGCM and CMIP
2 Climate sensitivity estimates from CMIP3 GCMs participating in the IPCC AR4 : Equilibrium Climate Sensitivity : (warming for sustained 2xCO2) Transient Climate Response : (1% CO2/yr, transient warming at 2xCO2) Climate sensitivity estimates depend on : radiative forcing climate feedbacks ocean heat uptake (transient only) How do these different components contribute to inter-model differences in climate sensitivity?
3 Decomposition of the Transient Climate Response (TCR) simulated by CMIP3/AR4 OAGCMs : Cloud Feedbacks! multi-model mean inter-model differences (standard deviation) [ Dufresne and Bony, 2007 ]
4 Where does the spread of cloud feedbacks come from? deep convective activity baroclinic activity & frontal clouds boundary-layer turbulence and clouds
5 Clouds vs Climate Modeling Challenges Cloud feedbacks remain the primary source of spread of Climate Sensitivity and TCR estimates amongst current OAGCMs (especially low-level cloud feedbacks). A concern for the assessment of climate extremes and impacts, for carbon-cycle feedbacks, etc... The development of ESMs will consume a lot of ressources... Still a need to improve the simulation of clouds (incl. their interaction w/ conv. and rad.) and the assessment of cloud feedbacks in coupled models! A major issue for climate sensitivity... and also for systematic errors in GCMs (e.g. tropical SST, precipitation patterns, diurnal cycle, tropical waves).
6 Clouds vs Climate Modeling Challenges How to make progress? Cloud Processes and Feedbacks Observational Constraints Model Parameterizations Thanks to : new A-Train observations (e.g. CloudSat, CALIPSO) CFMIP-GCSS collaborations available analysis methods progress is possible (and expected!) over the next few years... CALIPSO CloudSat
7 CALIPSO lidar measurements : Towards a near-global view of the 3D structure of clouds from space low-level cloud fraction derived from CALIPSO (Chepfer et al. 2007, submitted)
8 Cloud Feedback Model Intercomparison Project Phase 2 (CFMIP-2) GCM process diagnostics CRMs/LES/SCMs via GCSS A-Train/ISCCP & simulators Understanding of cloud feedbacks Evaluation of cloud fields Assessment of climate change cloud feedbacks [Full proposal available at: ]
9 GCM process diagnostics CRMs/LES/SCMs via GCSS A-Train/ISCCP & simulators Understanding of cloud feedbacks Evaluation of cloud fields CFMIP activities for an improved evaluation of modelled clouds using observations : Assessment of climate change cloud feedbacks Current developments : development of a CloudSat radar simulator (CSU, PNNL/UW, LLNL) development of a CALIPSO lidar simulator (LMD/IPSL) improved version of the ISCCP simulator (Hadley Centre) assemblage of these different modules into a combined CFMIP-ISCCP-CloudSat-CALIPSO Simulator named CICCS Plans : release of a beta version of CICCS : end-2007, pilot model intercomparison studies using this simulator : early 2008 production version for use in CMIP4/CFMIP2 and in CAPT: mid-2008.
10 GCM process diagnostics CRMs/LES/SCMs via GCSS A-Train/ISCCP & simulators Understanding of cloud feedbacks Evaluation of cloud fields CFMIP-GCSS activities for a better understanding & evaluation some key cloud-climate processes : Assessment of climate change cloud feedbacks Plans (to be finalized at the PAN-GCSS workshop on June 2008): process studies based on the analysis of grid-point high-frequency model outputs along transects (e.g. WGNE-GPCI, VOCALS) and over ARM sites CFMIP-GCSS CRM/LES/SCM case studies focused on the sensitivity of low-level clouds to changes in climate development of a cloud-climate metrics
11 CFMIP2-GCSS Idealized Sensitivity Experiment to be performed by LES/CRM/SCM models Zhang and Bretherton (in preparation)
12 GCM process diagnostics CRMs/LES/SCMs via GCSS A-Train/ISCCP & simulators Understanding of cloud feedbacks Evaluation of cloud fields CFMIP experiments for a better understanding of inter-model differences in cloud feedbacks : Assessment of climate change cloud feedbacks Lightweight experiments (short, uncoupled), to be run with CICCS and extended outputs, proposed to the modeling groups that wish to participate in CFMIP-2 : AMIP-like experiments forced by specified CO2 concentrations and specified SST & sea-ice patterns (2xCO2 with fixed SSTs, patterned SST forced experiments using a composite of coupled model SST responses from 1%/yr). process studies based on the analysis of grid-point high-frequency model outputs in regions where model cloud feedbacks differ the most. NB: these experiments may be run also by high-resolution global CRM and MMF models
13 CFMIP questions / requests to WGCM : [ Questions : ] - Does WGCM continue to endorse CFMIP-2 plans? - What plans for 1%/yr and slab experiments in CMIP4? [ Simulators : ] May WGCM request the use of a simulator (the ISCCP simulator or CICCS, the combined ISCCP-CloudSat-CALIPSO simulator) in some CMIP4 experiments? (e.g. in AMIP, 20C3M, 1%/yr CO2 plus control) [ Outputs : ] May the CMIP4 standard output include : - a larger number and frequency of cloud diagnostics - some high frequency model output at selected points (e.g. GPCI, ARM sites) - 3D model outputs stored on model levels [ Storage : ] May the CFMIP-2 experiments and diagnostics be hosted together with the CMIP4 archive?
14 We hope that many modeling groups will wish to participate in CFMIP-2, and that most of the GCMs participating in CMIP4 will use the CFMIP simulator.
15 We hope that many modeling groups will wish to participate in CFMIP-2, and that most of the GCMs participating in CMIP4 will use the CFMIP simulator. Cost : - implementation simulator - preparation outputs -storage Scientific benefits : - thorough model evaluation - assessment cloud-climate feedbacks - reduction systematic errors
16 Thank you!
17 Decomposition of the effective climate sensitivity simulated by CMIP3/AR4 OAGCMs : multi-model mean inter-model differences (standard deviation)
18 Low Level cloud fraction (Ptop > 680hPa) Sept-Oct-Nov GCM + CALIPSO simulator GCM GCM + ISCCP simulator (Chepfer et al. 2007, submitted)
19 Low Level clouds fraction (Ptop > 680hPa) Sept-Oct-Nov CALIPSO data GCM + CALIPSO simulator ISCCP data GCM + ISCCP simulator
20 GCM / CloudSat comparison of radar reflectivities Mid-latitude system in the North Atlantic (UK Met Office global forecast model, Jul 7th 2006) Alejandro Bodas-Salcedo
21 Sensitivity of the Tropical Cloud Radiative Forcing to Global Warming CRF SW SST High-sensitivity OAGCMs Low-sensitivity OAGCMs (Bony and Dufresne, GRL, 2005)
CMIP6 Recommendations from The Cloud Feedback Model Inter-comparison Project CFMIP. Building bridges between cloud communities
CMIP6 Recommendations from The Cloud Feedback Model Inter-comparison Project CFMIP Building bridges between cloud communities CFMIP Committee members Mark Webb, Chris Bretherton, Sandrine Bony, Steve Klein,
More informationA glance at compensating errors between low-level cloud fraction and cloud optical properties using satellite retrievals
A glance at compensating errors between low-level cloud fraction and cloud optical properties using satellite retrievals Christine Nam & Sandrine Bony Laboratoire de Météorologie Dynamique Structure Overview
More informationEvaluating GCM clouds using instrument simulators
Evaluating GCM clouds using instrument simulators University of Washington September 24, 2009 Why do we care about evaluation of clouds in GCMs? General Circulation Models (GCMs) project future climate
More informationSPOOKIE: The Selected Process On/Off Klima Intercomparison Experiment
SPOOKIE: The Selected Process On/Off Klima Intercomparison Experiment Mark Webb, Adrian Lock (Met Office), Sandrine Bony (IPSL), Chris Bretherton (UW), Tsuyoshi Koshiro, Hideaki Kawai (MRI), Thorsten Mauritsen
More informationSince launch in April of 2006, CloudSat has provided
A Multipurpose Radar Simulation Package: QuickBeam BY J. M. HAYNES, R. T. MARCHAND, Z. LUO, A. BODAS-SALCEDO, AND G. L. STEPHENS Since launch in April of 2006, CloudSat has provided the first near-global
More informationThe impact of parametrized convection on cloud feedback.
The impact of parametrized convection on cloud feedback. Mark Webb, Adrian Lock (Met Office) Thanks also to Chris Bretherton (UW), Sandrine Bony (IPSL),Jason Cole (CCCma), Abderrahmane Idelkadi (IPSL),
More informationResearch Objective 4: Develop improved parameterizations of boundary-layer clouds and turbulence for use in MMFs and GCRMs
Research Objective 4: Develop improved parameterizations of boundary-layer clouds and turbulence for use in MMFs and GCRMs Steve Krueger and Chin-Hoh Moeng CMMAP Site Review 31 May 2007 Scales of Atmospheric
More informationWhat the Heck are Low-Cloud Feedbacks? Takanobu Yamaguchi Rachel R. McCrary Anna B. Harper
What the Heck are Low-Cloud Feedbacks? Takanobu Yamaguchi Rachel R. McCrary Anna B. Harper IPCC Cloud feedbacks remain the largest source of uncertainty. Roadmap 1. Low cloud primer 2. Radiation and low
More informationInvestigating mechanisms of cloud feedback differences.
Investigating mechanisms of cloud feedback differences. Mark Webb, Adrian Lock (Met Office) Thanks also to Chris Bretherton (UW), Sandrine Bony (IPSL),Jason Cole (CCCma), Abderrahmane Idelkadi (IPSL),
More informationInterpretation of the positive low-cloud feedback predicted by a climate model under global warming
Clim Dyn (2013) 40:2415 2431 DOI 10.1007/s00382-011-1279-7 Interpretation of the positive low-cloud feedback predicted by a climate model under global warming Florent Brient Sandrine Bony Received: 29
More informationWCRP Grand Challenge on. Clouds, Circulation and Climate Sensitivity
WCRP Grand Challenge on Clouds, Circulation and Climate Sensitivity http://www.wcrp-climate.org/index.php/gc-clouds Sandrine Bony (LMD/IPSL) & Bjorn Stevens (MPI) WCRP JSC-35, 30 June 2014, Heidelberg,
More informationA process oriented descrip-on of oceanic clouds derived from A- train observa-ons, for climate model evalua-on
A process oriented descrip-on of oceanic clouds derived from A- train observa-ons, for climate model evalua-on D. Konsta, H. Chepfer, JL Dufresne, G. Cesana, S. Bony LMD/IPSL Konsta D. et al : A process
More informationAn update on the WGNE/WGCM Climate Model Metrics Panel
An update on the WGNE/WGCM Climate Model Metrics Panel Members selected by relevant and diverse experience, and potential to liaison with key WCRP activities: Beth Ebert (BMRC) JWGV/WWRP, WMO forecast
More informationAtmospheric Processes
Atmospheric Processes Steven Sherwood Climate Change Research Centre, UNSW Yann Arthus-Bertrand / Altitude Where do atmospheric processes come into AR5 WGI? 1. The main feedbacks that control equilibrium
More informationCoupling between subtropical cloud feedback and the local hydrological cycle in a climate model
Coupling between subtropical cloud feedback and the local hydrological cycle in a climate model Mark Webb and Adrian Lock EUCLIPSE/CFMIP Meeting, Paris, May 2012 Background and Motivation CFMIP-2 provides
More informationBoundary-Layer Cloud Feedbacks on Climate An MMF Perspective
Boundary-Layer Cloud Feedbacks on Climate An MMF Perspective Matthew E. Wyant Peter N. Blossey Christopher S. Bretherton University of Washington Marat Khairoutdinov Minghua Zhang Stony Brook University
More informationGeographically versus dynamically defined boundary layer cloud regimes and their use to evaluate general circulation model cloud parameterizations
GEOPHYSICAL RESEARCH LETTERS, VOL. 40, 4951 4956, doi:10.1002/grl.50945, 2013 Geographically versus dynamically defined boundary layer cloud regimes and their use to evaluate general circulation model
More informationCloud feedback. Chris Bretherton University of Washington. Rob Wood, Peter Blossey, Matt Wyant, Dennis Hartmann, Mark Zelinka
Cloud feedback Chris Bretherton University of Washington with Rob Wood, Peter Blossey, Matt Wyant, Dennis Hartmann, Mark Zelinka What is cloud feedback? The effect on an externally-forced climate perturbation
More informationLarge Eddy Simulation (LES) & Cloud Resolving Model (CRM) Françoise Guichard and Fleur Couvreux
Large Eddy Simulation (LES) & Cloud Resolving Model (CRM) Françoise Guichard and Fleur Couvreux Cloud-resolving modelling : perspectives Improvement of models, new ways of using them, renewed views And
More informationComment on "Observational and model evidence for positive low-level cloud feedback"
LLNL-JRNL-422752 Comment on "Observational and model evidence for positive low-level cloud feedback" A. J. Broccoli, S. A. Klein January 22, 2010 Science Disclaimer This document was prepared as an account
More informationSelecting members of the QUMP perturbed-physics ensemble for use with PRECIS
Selecting members of the QUMP perturbed-physics ensemble for use with PRECIS Isn t one model enough? Carol McSweeney and Richard Jones Met Office Hadley Centre, September 2010 Downscaling a single GCM
More informationEvalua&ng Downdra/ Parameteriza&ons with High Resolu&on CRM Data
Evalua&ng Downdra/ Parameteriza&ons with High Resolu&on CRM Data Kate Thayer-Calder and Dave Randall Colorado State University October 24, 2012 NOAA's 37th Climate Diagnostics and Prediction Workshop Convective
More informationPerformance Metrics for Climate Models: WDAC advancements towards routine modeling benchmarks
Performance Metrics for Climate Models: WDAC advancements towards routine modeling benchmarks Peter Gleckler* Program for Climate Model Diagnosis and Intercomparison () LLNL, USA * Representing WDAC and
More informationAddendum to the CMIP5 Experiment Design Document: A compendium of relevant emails sent to the modeling groups
Addendum to the CMIP5 Experiment Design Document: A compendium of relevant emails sent to the modeling groups CMIP5 Update 13 November 2010: Dear all, Here are some items that should be of interest to
More informationEvaluating the Impact of Cloud-Aerosol- Precipitation Interaction (CAPI) Schemes on Rainfall Forecast in the NGGPS
Introduction Evaluating the Impact of Cloud-Aerosol- Precipitation Interaction (CAPI) Schemes on Rainfall Forecast in the NGGPS Zhanqing Li and Seoung-Soo Lee University of Maryland NOAA/NCEP/EMC Collaborators
More informationPhysical properties of mesoscale high-level cloud systems in relation to their atmospheric environment deduced from Sounders
Physical properties of mesoscale high-level cloud systems in relation to their atmospheric environment deduced from Sounders Claudia Stubenrauch, Sofia Protopapadaki, Artem Feofilov, Theodore Nicolas &
More informationImproving Low-Cloud Simulation with an Upgraded Multiscale Modeling Framework
Improving Low-Cloud Simulation with an Upgraded Multiscale Modeling Framework Kuan-Man Xu and Anning Cheng NASA Langley Research Center Hampton, Virginia Motivation and outline of this talk From Teixeira
More informationClouds, Circulation, and Climate Sensitivity
Clouds, Circulation, and Climate Sensitivity Hui Su 1, Jonathan H. Jiang 1, Chengxing Zhai 1, Janice T. Shen 1 David J. Neelin 2, Graeme L. Stephens 1, Yuk L. Yung 3 1 Jet Propulsion Laboratory, California
More informationInteractive comment on Total cloud cover from satellite observations and climate models by P. Probst et al.
Interactive comment on Total cloud cover from satellite observations and climate models by P. Probst et al. Anonymous Referee #1 (Received and published: 20 October 2010) The paper compares CMIP3 model
More informationSuvarchal Kumar Cheedela
Single Column Models and Low Cloud Feedbacks Suvarchal Kumar Cheedela Berichte zur Erdsystemforschung Reports on Earth System Science 148 2014 Berichte zur Erdsystemforschung 148 2014 Single Column Models
More informationSTRATEGY & Parametrized Convection
for WP4.1.3 // meeting, 22 Sept 2005 morning, Francoise Guichard some inferences from the EUROCS project EUROCS: european project on cloud systems in NWP/climate models European Component of GCSS (GEWEX
More informationThe effects of organization on convective and large-scale interactions using cloud resolving simulations with parameterized large-scale dynamics
The effects of organization on convective and large-scale interactions using cloud resolving simulations with parameterized large-scale dynamics Emily M. Riley, Brian Mapes, Stefan Tulich, Zhiming Kuang
More informationEvaluating climate model simulations of tropical cloud
Tellus (2004), 56A, 308 327 Copyright C Blackwell Munksgaard, 2004 Printed in UK. All rights reserved TELLUS Evaluating climate model simulations of tropical cloud By MARK A. RINGER and RICHARD P. ALLAN,
More informationEvaluation of clouds in GCMs using ARM-data: A time-step approach
Evaluation of clouds in GCMs using ARM-data: A time-step approach K. Van Weverberg 1, C. Morcrette 1, H.-Y. Ma 2, S. Klein 2, M. Ahlgrimm 3, R. Forbes 3 and J. Petch 1 MACCBET Symposium, Royal Meteorological
More informationMAGIC: Marine ARM GPCI Investigations of Clouds
MAGIC: Marine ARM GPCI Investigations of Clouds Principal Investigators Ernie R. Lewis (Brookhaven National Laboratory) elewis@bnl.gov Warren J. Wiscombe (NASA Goddard Space Flight Center) Co-Investigators
More informationContinental and Marine Low-level Cloud Processes and Properties (ARM SGP and AZORES) Xiquan Dong University of North Dakota
Continental and Marine Low-level Cloud Processes and Properties (ARM SGP and AZORES) Xiquan Dong University of North Dakota Outline 1) Statistical results from SGP and AZORES 2) Challenge and Difficult
More informationOn dynamic and thermodynamic components of cloud changes
On dynamic and thermodynamic components of cloud changes Sandrine Bony, Jean-Louis Dufresne, Hervé Le Treut Laboratoire de Météorologie Dynamique du CNRS Paris, France Jean-Jacques Morcrette European Center
More informationREVIEW ARTICLE. How Well Do We Understand and Evaluate Climate Change Feedback Processes?
VOLUME 19 J O U R N A L O F C L I M A T E 1 AUGUST 2006 REVIEW ARTICLE How Well Do We Understand and Evaluate Climate Change Feedback Processes? SANDRINE BONY, a ROBERT COLMAN, b VLADIMIR M. KATTSOV, c
More informationStructural similarities and differences in. two perturbed physics ensembles
Structural similarities and differences in climate responses to CO 2 increase between two perturbed physics ensembles Tokuta Yokohata 1,2, Mark J. Webb 3, Matthew Collins 3, Keith D. Williams 3, Masakazu
More informationTowards an NWP-testbed
Towards an NWP-testbed Ewan O Connor and Robin Hogan University of Reading, UK Overview Cloud schemes in NWP models are basically the same as in climate models, but easier to evaluate using ARM because:
More informationWhy aren t climate models getting better? Bjorn Stevens, UCLA
Why aren t climate models getting better? Bjorn Stevens, UCLA Four Hypotheses 1. Our premise is false, models are getting better. 2. We don t know what better means. 3. It is difficult, models have rough
More informationInsights into low- la.tude cloud feedbacks from high- resolu.on models
Insights into low- la.tude cloud feedbacks from high- resolu.on models Christopher S. Bretherton University of Washington Department of Atmospheric Sciences Thanks to: Peter Blossey, Minghua Zhang, CGILS
More informationAtmospheric Dynamics of Venus and Earth. Institute of Geophysics and Planetary Physics UCLA 2 Lawrence Livermore National Laboratory
Atmospheric Dynamics of Venus and Earth G. Schubert 1 and C. Covey 2 1 Department of Earth and Space Sciences Institute of Geophysics and Planetary Physics UCLA 2 Lawrence Livermore National Laboratory
More informationImproving Hydrological Predictions
Improving Hydrological Predictions Catherine Senior MOSAC, November 10th, 2011 How well do we simulate the water cycle? GPCP 10 years of Day 1 forecast Equatorial Variability on Synoptic scales (2-6 days)
More informationMARK D. ZELINKA STEPHEN A. KLEIN
3736 J O U R N A L O F C L I M A T E VOLUME 25 Computing and Partitioning Cloud Feedbacks Using Cloud Property Histograms. Part II: Attribution to Changes in Cloud Amount, Altitude, and Optical Depth MARK
More informationTHE CURIOUS CASE OF THE PLIOCENE CLIMATE. Chris Brierley, Alexey Fedorov and Zhonghui Lui
THE CURIOUS CASE OF THE PLIOCENE CLIMATE Chris Brierley, Alexey Fedorov and Zhonghui Lui Outline Introduce the warm early Pliocene Recent Discoveries in the Tropics Reconstructing the early Pliocene SSTs
More informationEarth s Cloud Feedback
Earth s Cloud Feedback Clouds are visible masses of liquid droplets and/or frozen crystals that remain suspended in the atmosphere. Molecule by molecule, water in a solid or liquid phase is 1000 times
More informationMSG-SEVIRI cloud physical properties for model evaluations
Rob Roebeling Weather Research Thanks to: Hartwig Deneke, Bastiaan Jonkheid, Wouter Greuell, Jan Fokke Meirink and Erwin Wolters (KNMI) MSG-SEVIRI cloud physical properties for model evaluations Cloud
More informationScience Goals for the ARM Recovery Act Radars
DOE/SC-ARM-12-010 Science Goals for the ARM Recovery Act Radars JH Mather May 2012 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States
More informationGCMs with Implicit and Explicit cloudrain processes for simulation of extreme precipitation frequency
GCMs with Implicit and Explicit cloudrain processes for simulation of extreme precipitation frequency In Sik Kang Seoul National University Young Min Yang (UH) and Wei Kuo Tao (GSFC) Content 1. Conventional
More informationThe ARM-GCSS Intercomparison Study of Single-Column Models and Cloud System Models
The ARM-GCSS Intercomparison Study of Single-Column Models and Cloud System Models R. T. Cederwall and D. J. Rodriguez Atmospheric Science Division Lawrence Livermore National Laboratory Livermore, California
More informationSub-grid cloud parametrization issues in Met Office Unified Model
Sub-grid cloud parametrization issues in Met Office Unified Model Cyril Morcrette Workshop on Parametrization of clouds and precipitation across model resolutions, ECMWF, Reading, November 2012 Table of
More informationIncreasing Atmospheric Poleward Energy Transport with Global Warming
GEOPHYSICAL RESEARCH LETTERS, VOL.???, XXXX, DOI:1.129/, Increasing Atmospheric Poleward Energy Transport with Global Warming Yen-Ting Hwang, 1 Dargan M. W. Frierson, 1 Most state-of-the-art global climate
More informationErroneous Relationships among Humidity and Cloud Forcing Variables in Three Global Climate Models
4190 J O U R N A L O F C L I M A T E VOLUME 21 Erroneous Relationships among Humidity and Cloud Forcing Variables in Three Global Climate Models FLORIAN BENNHOLD AND STEVEN SHERWOOD Department of Geology
More informationCV Sambingo da Silva Cardoso 1 / 7 April 2012 CURRICULUM VITAE
Sambingo da Silva Cardoso 1 / 7 CURRICULUM VITAE PERSONAL INFORMATION Name: Sambingo da Silva Cardoso Work Address: CGUL, IDL, Faculdade de Ciências Ed. C8, Campo Grande 1749-016 Lisbon, Portugal. Home
More informationSelected Ac)vi)es Overseen by the WDAC
Selected Ac)vi)es Overseen by the WDAC Some background obs4mips ana4mips CREATE- IP (in planning stage) Contribu)ons from: M. Bosilovich, O. Brown, V. Eyring, R. Ferraro., P. Gleckler, R. Joseph, J. PoQer,
More informationA hybrid cloud regime methodology used to evaluate Southern. Ocean cloud and shortwave radiation errors in ACCESS
LaTeX File (.tex,.sty,.cls,.bst,.bib) Click here to download LaTeX File (.tex,.sty,.cls,.bst,.bib): main.tex Generated using version 3.2 of the official AMS L A TEX template 1 A hybrid cloud regime methodology
More informationValidation of SEVIRI cloud-top height retrievals from A-Train data
Validation of SEVIRI cloud-top height retrievals from A-Train data Chu-Yong Chung, Pete N Francis, and Roger Saunders Contents Introduction MO GeoCloud AVAC-S Long-term monitoring Comparison with OCA Summary
More informationEvaluation of ECMWF cloud type simulations at the ARM Southern Great Plains site using a new cloud type climatology
Click Here for Full Article GEOPHYSICAL RESEARCH LETTERS, VOL. 34, L03803, doi:10.1029/2006gl027314, 2007 Evaluation of ECMWF cloud type simulations at the ARM Southern Great Plains site using a new cloud
More informationObserved Cloud Cover Trends and Global Climate Change. Joel Norris Scripps Institution of Oceanography
Observed Cloud Cover Trends and Global Climate Change Joel Norris Scripps Institution of Oceanography Increasing Global Temperature from www.giss.nasa.gov Increasing Greenhouse Gases from ess.geology.ufl.edu
More informationAn economical scale-aware parameterization for representing subgrid-scale clouds and turbulence in cloud-resolving models and global models
An economical scale-aware parameterization for representing subgrid-scale clouds and turbulence in cloud-resolving models and global models Steven Krueger1 and Peter Bogenschutz2 1University of Utah, 2National
More informationCAUSES. (Clouds Above the United States and Errors at the Surface)
CAUSES (Clouds Above the United States and Errors at the Surface) Cloud-regime analysis to find the causes of surface temperature errors in weather and climate models Cyril Morcrette and Kwinten Van Weverberg
More informationThe Impact of Global Warming on Marine Boundary Layer Clouds over the Eastern Pacific A Regional Model Study
5844 J O U R N A L O F C L I M A T E VOLUME 23 The Impact of Global Warming on Marine Boundary Layer Clouds over the Eastern Pacific A Regional Model Study AXEL LAUER International Pacific Research Center,
More informationHow To Understand Cloud Radiative Effects
A Climatology of Surface Radiation, Cloud Cover, and Cloud Radiative Effects for the ARM Tropical Western Pacific Sites. Chuck Long, Casey Burleyson, Jennifer Comstock, Zhe Feng September 11, 2014 Presented
More informationEXASCALE CLIMATE DATA ANALYSIS
ExArch WP3 EXASCALE CLIMATE DATA ANALYSIS From the Inside Out Frédéric Laliberté Paul Kushner University of Toronto ExArch WP3 A USER PERSPECTIVE EXASCALE CLIMATE DATA ANALYSIS From the Inside Out Frédéric
More informationDescription of zero-buoyancy entraining plume model
Influence of entrainment on the thermal stratification in simulations of radiative-convective equilibrium Supplementary information Martin S. Singh & Paul A. O Gorman S1 CRM simulations Here we give more
More informationComputing and Partitioning Cloud Feedbacks Using Cloud Property Histograms. Part I: Cloud Radiative Kernels
1JUNE 2012 Z E L I N K A E T A L. 3715 Computing and Partitioning Cloud Feedbacks Using Cloud Property Histograms. Part I: Cloud Radiative Kernels MARK D. ZELINKA Department of Atmospheric Sciences, University
More informationSimulation of low clouds from the CAM and the regional WRF with multiple nested resolutions
Click Here for Full Article GEOPHYSICAL RESEARCH LETTERS, VOL. 36, L08813, doi:10.1029/2008gl037088, 2009 Simulation of low clouds from the CAM and the regional WRF with multiple nested resolutions Wuyin
More informationCloud-Resolving Simulations of Convection during DYNAMO
Cloud-Resolving Simulations of Convection during DYNAMO Matthew A. Janiga and Chidong Zhang University of Miami, RSMAS 2013 Fall ASR Workshop Outline Overview of observations. Methodology. Simulation results.
More informationComparison of Cloud and Radiation Variability Reported by Surface Observers, ISCCP, and ERBS
Comparison of Cloud and Radiation Variability Reported by Surface Observers, ISCCP, and ERBS Joel Norris (SIO/UCSD) Cloud Assessment Workshop April 5, 2005 Outline brief satellite data description upper-level
More informationThe formation of wider and deeper clouds through cold-pool dynamics
The formation of wider and deeper clouds through cold-pool dynamics Linda Schlemmer, Cathy Hohenegger e for Meteorology, Hamburg 2013-09-03 Bergen COST Meeting Linda Schlemmer 1 / 27 1 Motivation 2 Simulations
More informationThe ozone hole indirect effect: Cloud-radiative anomalies accompanying the poleward shift of the eddy-driven jet in the Southern Hemisphere
GEOPHYSICAL RESEARCH LETTERS, VOL., 1 5, doi:1.1/grl.575, 1 The ozone hole indirect effect: Cloud-radiative anomalies accompanying the poleward shift of the eddy-driven jet in the Southern Hemisphere Kevin
More informationCLIVAR WGSIP. Strategy for Development of Seasonal Prediction
CLIVAR WGSIP Strategy for Development of Seasonal Prediction Adam Scaife and Ben Kirtman CLIVAR Working Group on Seasonal to Interannual Prediction April 2011 CLIVAR WGSIP Working Group on Seasonal to
More informationLong-term Observations of the Convective Boundary Layer (CBL) and Shallow cumulus Clouds using Cloud Radar at the SGP ARM Climate Research Facility
Long-term Observations of the Convective Boundary Layer (CBL) and Shallow cumulus Clouds using Cloud Radar at the SGP ARM Climate Research Facility Arunchandra S. Chandra Pavlos Kollias Department of Atmospheric
More informationDeveloping Continuous SCM/CRM Forcing Using NWP Products Constrained by ARM Observations
Developing Continuous SCM/CRM Forcing Using NWP Products Constrained by ARM Observations S. C. Xie, R. T. Cederwall, and J. J. Yio Lawrence Livermore National Laboratory Livermore, California M. H. Zhang
More informationModelling the Earth System. Understanding and predicting climate changes and fluctuations
02/02/2014 Modelling the Earth System Understanding and predicting climate changes and fluctuations IPSL Climate Modelling Centre J-L Dufresne Comité de visite de l AERES à l IPSL, 3-4 février 2014 Presentation
More informationThe horizontal diffusion issue in CRM simulations of moist convection
The horizontal diffusion issue in CRM simulations of moist convection Wolfgang Langhans Institute for Atmospheric and Climate Science, ETH Zurich June 9, 2009 Wolfgang Langhans Group retreat/bergell June
More informationA Summary of the CMIP5 Experiment Design
A Summary of the CMIP5 Experiment Design Lead authors 1 : Karl E. Taylor, 2 Ronald J. Stouffer, 3 and Gerald A. Meehl 4 1. Preface and overview. Published: 18 December 2009 (with updates/corrections made
More informationA comparison of simulated cloud radar output from the multiscale modeling framework global climate model with CloudSat cloud radar observations
Click Here for Full Article JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 114,, doi:10.1029/2008jd009790, 2009 A comparison of simulated cloud radar output from the multiscale modeling framework global climate
More informationEvaluation of precipitation simulated over mid-latitude land by CPTEC AGCM single-column model
Evaluation of precipitation simulated over mid-latitude land by CPTEC AGCM single-column model Enver Ramírez Gutiérrez 1, Silvio Nilo Figueroa 2, Paulo Kubota 2 1 CCST, 2 CPTEC INPE Cachoeira Paulista,
More informationCRM simula+ons with parameterized large- scale dynamics using +me- dependent forcings from observa+ons
CRM simula+ons with parameterized large- scale dynamics using +me- dependent forcings from observa+ons Shuguang Wang, Adam Sobel, Zhiming Kuang Zhiming & Kerry s workshop Harvard, March 2012 In tropical
More informationImprovements in atmospheric physical parameterizations for the Australian Community Climate and Earth-System Simulator (ACCESS)
The Centre for Australian Weather and Climate Research A partnership between the Bureau of Meteorology and CSIRO Improvements in atmospheric physical parameterizations for the Australian Community Climate
More informationCumulus Convection, Climate Sensitivity, and Heightened Imperatives for Physically Robust Cumulus Parameterizations in Climate Models
Cumulus Convection, Climate Sensitivity, and Heightened Imperatives for Physically Robust Cumulus Parameterizations in Climate Models Leo Donner GFDL/NOAA, Princeton University NCAR, 11 February 2014 Key
More informationUnderstanding and Improving CRM and GCM Simulations of Cloud Systems with ARM Observations. Final Report
Understanding and Improving CRM and GCM Simulations of Cloud Systems with ARM Observations Final Report Principal Investigator: Xiaoqing Wu, Department of Geological and Atmospheric Sciences, Iowa State
More informationENSO: Recent Evolution, Current Status and Predictions. Update prepared by: Climate Prediction Center / NCEP 29 June 2015
ENSO: Recent Evolution, Current Status and Predictions Update prepared by: Climate Prediction Center / NCEP 29 June 2015 Outline Summary Recent Evolution and Current Conditions Oceanic Niño Index (ONI)
More informationMonth-Long 2D Cloud-Resolving Model Simulation and Resultant Statistics of Cloud Systems Over the ARM SGP
Month-Long 2D Cloud-Resolving Model Simulation and Resultant Statistics of Cloud Systems Over the ARM SGP X. Wu Department of Geological and Atmospheric Sciences Iowa State University Ames, Iowa X.-Z.
More informationA SURVEY OF CLOUD COVER OVER MĂGURELE, ROMANIA, USING CEILOMETER AND SATELLITE DATA
Romanian Reports in Physics, Vol. 66, No. 3, P. 812 822, 2014 ATMOSPHERE PHYSICS A SURVEY OF CLOUD COVER OVER MĂGURELE, ROMANIA, USING CEILOMETER AND SATELLITE DATA S. STEFAN, I. UNGUREANU, C. GRIGORAS
More informationInference and Analysis of Climate Models via Bayesian Approaches
Inference and Analysis of Climate Models via Bayesian Approaches Gabriel Huerta Department of Mathematics and Statistics University of New Mexico http://math.unm.edu joint work with Charles Jackson (UT-Austin)
More informationSuper-parametrization in climate and what do we learn from high-resolution
Super-parametrization in climate and what do we learn from high-resolution Marat Khairoutdinov Stony Brook University USA ECMWF Annual Seminar, 1-4 September 2015 scales-separation parameterized convection
More informationAn A-Train Water Vapor Thematic Climate Data Record Using Cloud Classification
An A-Train Water Vapor Thematic Climate Data Record Using Cloud Classification Eric J. Fetzer, Qing Yue, Alexandre Guillaume, Van T. Dang, Calvin Liang, Brian H. Kahn, Brian D. Wilson, Bjorn H. Lambrigtsen
More informationII. Related Activities
(1) Global Cloud Resolving Model Simulations toward Numerical Weather Forecasting in the Tropics (FY2005-2010) (2) Scale Interaction and Large-Scale Variation of the Ocean Circulation (FY2006-2011) (3)
More informationImproving Representation of Turbulence and Clouds In Coarse-Grid CRMs
Improving Representation of Turbulence and Clouds In CoarseGrid CRMs Peter A. Bogenschutz and Steven K. Krueger University of Utah, Salt Lake City, UT Motivation Embedded CRMs in MMF typically have horizontal
More informationClouds and Convection
Max-Planck-Institut Clouds and Convection Cathy Hohenegger, Axel Seifert, Bjorn Stevens, Verena Grützun, Thijs Heus, Linda Schlemmer, Malte Rieck Max-Planck-Institut Shallow convection Deep convection
More informationOcean and climate research at KNMI. Andreas Sterl KNMI
Ocean and climate research at KNMI Andreas Sterl KNMI Ocean and climate research at KNMI global and regional modelling EC-Earth RACMO Harmonie ocean observations/monitoring Argo sea level rise climate
More informationUpdate from Reto and Erich
Update from Reto and Erich From theory and models to observations Erich Fischer and Reto Knutti ETH Zurich, Switzerland Schematic illustrating precipitation changes Where does it come from? After CCSP
More informationJoel R. Norris * Scripps Institution of Oceanography, University of California, San Diego. ) / (1 N h. = 8 and C L
10.4 DECADAL TROPICAL CLOUD AND RADIATION VARIABILITY IN OBSERVATIONS AND THE CCSM3 Joel R. Norris * Scripps Institution of Oceanography, University of California, San Diego 1. INTRODUCTION Clouds have
More informationEvaluation of Precipitation and High-Level Cloud Areas Associated with Large-Scale Circulation over the Tropical Pacific in the CMIP3 Models
Journal of the Meteorological Society of Japan, Vol. 87, No. 4, pp. 771--789, 2009. 771 DOI:10.2151/jmsj.87.771 Evaluation of Precipitation and High-Level Cloud Areas Associated with Large-Scale Circulation
More informationStrong coherence between cloud cover and surface temperature
Strong coherence between cloud cover and surface temperature variance in the UK E. W. Mearns* and C. H. Best * School of Geosciences, University of Aberdeen, Kings College, Aberdeen AB24 3UE Independent
More informationWGNE Conference call minutes Friday 14 June 2013, 14:00-16:00
WGNE Conference call minutes Friday 14 June 2013, 14:00-16:00 PRESENT Members Andy BROWN (Co-chair) Jean-Noel THEPAUT (Co-chair) Julio BACMEISTER Francois BOUYSSEL Gary DIETACHMAYER Saulo FREITAS Tom HAMILL
More information