Impact of microphysics on cloud-system resolving model simulations of deep convection and SpCAM
|
|
- Abel Patterson
- 8 years ago
- Views:
Transcription
1 Impact of microphysics on cloud-system resolving model simulations of deep convection and SpCAM Hugh Morrison and Wojciech Grabowski NCAR* (MMM Division, NESL) Marat Khairoutdinov Stony Brook University *NCAR is sponsored by the National Science Foundation
2 Outline 1. Motivation - Indirect aerosol effects 2. CSRM simulations of convective radiative quasiequilibrium 3. CSRM simulations of real case study (TWP-ICE) 4. SpCAM simulations with new microphysics scheme
3 Microphysics plays a key role in cloud, climate and weather models - Latent heating/cooling (condensation, evaporation, deposition, sublimation, freezing, melting) - Condensate loading (mass of the condensate carried by the flow) - Precipitation (fallout of larger particles) - Coupling with surface processes (moist downdrafts leading to surface-wind gustiness, cloud shading) - Radiative transfer (mostly mass for absorption/emission of LW, particle size also important for SW) - Cloud-aerosol-precipitation interactions (aerosol affect clouds: indirect aerosol effects, but clouds process aerosols as well) Stephens (2005)
4 cloud base cloud updraft maritime ( clean ) continental ( polluted )
5 Ship tracks: spectacular example of indirect effects caused by ship exhausts acting as CCN (long-lasting, feedback on cloud dynamics?)
6 IPCC 2007; Synthesis Report
7 Issues: - Difficulty of current observational techniques in untangling relationship between aerosols and clouds on spatial and temporal scales relevant to climate: correlation versus causality - Traditional general circulation models cannot resolve the cloud dynamics that are critical to cloud-aerosol-precipitation interactions parameterized microphysics in parameterized clouds parameterization 2
8 - Aerosol indirect effects are especially uncertain for deep convective clouds because of the complexity of microphysical processes (both liquid and ice) and close coupling between cloud-scale dynamics and microphysics. - High resolution cloud models (GCRMs and MMF) can resolve deep-convective and mesoscale motion and therefore are better suited to the problem.
9 Koren et al. (2010) Rosenfeld et al. Science, Example of hypothesized aerosolmicrophysicsdynamics interactions in deep convection
10 single-cloud reasoning versus cloud-ensemble reasoning Arguably, the cloud-ensemble reasoning is more appropriate for climate. Another way to think about the problem: single-process reasoning (e.g., microphysics) versus the system-dynamics approach. Only the latter includes all the feedbacks and forcings in the system.
11 Convective-radiative quasi-equilibrium is the simplest system that includes interactions between clouds and their environment ( system-dynamics approach ).
12 Convective-radiative quasi-equilibrium mimicking planetary energy budget using a 2D cloud-system resolving model solar input 342 Wm columns (200 columns) height 61 levels horizontal distance Surface temperature = 15 C Surface relative humidity = 85% Surface albedo = 0.15 Grabowski J. Climate 2006, Grabowski and Morrison J. Climate 2010 (submitted)
13 Numerical model: Dynamics: 2D super-parameterization model (Grabowski 2001) Radiation: NCAR s Community Climate System Model (CCSM) (Kiehl et al 1994) in the Independent Column Approximation (ICA) mode columns (Δx=1-2km) and 61 levels (stretched; 12 levels below 2 km; top at km) Grabowski 2006; Grabowski and Morrison 2010
14 Simulations with the new two-moment bulk microphysics: Warm-rain scheme of Morrison and Grabowski (JAS 2007, 2008a) predicts concentrations and mixing ratios of cloud water and rain water; relatively sophisticated CCN activation scheme, contrasting pristine and polluted CCN spectra, and better representation of the homogeneity of subgrid-scale mixing. Ice scheme of Morrison and Grabowski (JAS 2008b; 2010) predicts concentrations and two mixing ratios of ice particles to keep track of mass grown by diffusion and by riming; heterogeneous and homogeneous ice nucleation with the same IN characteristics for pristine and polluted conditions.
15 Cloud water and drizzle/rain fields Solid: polluted Dashed: pristine Ice field
16 Cloud fraction profiles Grabowski J. Climate 2006 (G06) Grabowski and Morrison J. Climate 2010 (submitted) (GM10) G06 1-moment microphysics GM10 2-moment microphysics Solid: polluted Dashed: pristine Horizontal bars: standard deviation of temporal evolution (measure of statistical significance of the difference)
17
18 Pot. temperature profiles in the lower troposphere: Dashed: domain-averaged Solid: within raining regions only G06 GM10 GM10: 1-moment rain Mean of rainy grids Domain mean Deviation from surface temperature
19 Idealized convective-radiative quasi-equilibrium simulations using the two-moment bulk microphysics result in the mean atmospheric state similar to previous simulations with one-moment microphysics. Bowen ratio: two-moment microphysics has a different impact on cold-pool temperature and moisture due to smaller rate of rain evaporation. Precipitation: Little difference in atm. radiative cooling between PRISTINE and POLLUTED little impact of aerosol on surface precipitation TOA net shortwave: between PRISTINE and POLLUTED is down to about 9 Wm -2 from about 20 Wm -2 in one-moment simulations.
20 Next we move to a less idealized, time-evolving framework less stringent constraints relative to CRE
21 16-day, 2D simulations of TWP-ICE, using observed large-scale forcing similar setup to other GCSS case studies Prescribed large-scale forcing of T, qv, 6 hr nudging of u to observations 200 columns height 97 levels horizontal distance Surface temperature = 29 C
22 Tropical Western Pacific International Cloud Experiment (TWP-ICE)
23 - Question: how does parameterization of microphysics and model resolution in a CSRM impact simulation of aerosol effects on clouds and precipitation for tropical deep convection?
24 BASE Baseline configuration (Morrison and Grabowski 2007; 2008a,b) FRZ Heterogeneous droplet freezing of Bigg (1953) replaced by Barklie and Gokhale (1959), ~ factor of 100 reduction in freezing rate GRPL Graupel density decreased by ~ factor of 3 Resolution Horizontal grid spacing varied from 2 km to 500 m - Aerosol specification, similar to Fridlind et al. (2010, in prep)
25 Impact on surface precipitation PRISTINE (SOLID LINES) POLLUTED (DOTTED LINES) ACTIVE MONSOON SUPPRESSED MONSOON BASE FRZ GRP OBS
26 ACTIVE MONSOON PRISTINE (SOLID LINES) POLLUTED (DOTTED LINES) SUPPRESSED MONSOON
27 PRISTINE (SOLID LINES) POLLUTED (DOTTED LINES)\ OBSERVED
28 DROPLET CONCENTRATION ICE CONCENTRATION DROPLET EFF RADIUS ICE EFF RADIUS IMPACT ON MICROPHYSICS PRISTINE (SOLID) POLLUTED (DOTTED) LIQUID WATER CONTENT ICE WATER CONTENT
29 Impact on TOA radiative fluxes TOA upwelling SW PRISTINE (SOLID LINES) POLLUTED (DOTTED LINES) BASE FRZ GRP OBS
30 What is the role of internal variability in explaining these differences? Run 5-member ensemble of simulations (pristine and polluted) with different initial seed for random noise ACTIVE MONSOON SUPPRESSED MONSOON W m -2 /µm hr -1 ENSEMBLE SPREAD
31 Given a standard deviation of 10 W m -2 in aerosol indirect effect, statistical significance at 95% level roughly requires: Size of indirect effect 3 W m ensemble members 2 W m ensemble members 1 W m ensemble members
32 Summary of TWP-ICE results Precipitation: little impact of aerosol over timescales longer than a few days, consistent with systems dynamics reasoning and results for CRE Radiation: impact of aerosol difficult to discern from large internal variability ensemble approach Caution is needed when quantifying indirect effects in GCSStype modeling frameworks as used here, less problematic for 3D?? Sensitivity to microphysics and resolution: nearly all tests lie within the ensemble spread
33 Microphysics and aerosol indirect effects in MMF Recent effort to incorporate 2-moment microphysics scheme (Morrison et al. 2009) into SpCAM that predicts cloud particle number concentration and allows coupling with aerosol Parallel effort underway (led by PNNL) to incorporate cloud-aerosol interaction in SpCAM using a more complicated framework (Explicit Clouds-Parameterized Pollutants) Preliminary results using 2-moment scheme and comparison with default SpCAM microphysics 2-moment scheme is out of the box, no tuning
34 From M. Khairoutdinov DJF Precipitation Rate (mm hr -1 )
35 From M. Khairoutdinov DJF Outgoing Longwave Radiation, OLR (W m -2 )
36 From M. Khairoutdinov DJF Absorbed Solar Radiation (W m -2 )
37 Overall results: not greatly different with 2-moment and 1- moment microphysics Computational cost: ~ factor of 2 with 2-moment efforts underway to increase efficiency (e.g., reducing # of prognostic variables) Some tuning of 2-moment scheme is required to increase TOA reflected solar radiation and achieve radiative balance Aerosol indirect effects: coupling of 2-moment scheme to CAM aerosol is underway to simulate indirect effects in SpCAM Uncertainties: shallow clouds (Cu, Sc), due to general difficulty of representing these clouds in SpCAM, and specifically because droplet activation is mostly driven by sub-grid vertical motion in these clouds explicit coupling with sub-grid scheme
38 Thank you. We acknowledge funding from CMMAP, NOAA, and DOE ARM/ASR.
39
What 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 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 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 informationCloud-system resolving model simulations of aerosol indirect effects on tropical deep convection and its thermodynamic environment
Atmos. Chem. Phys., 11, 10503 10523, 2011 doi:10.5194/acp-11-10503-2011 Author(s) 2011. CC Attribution 3.0 License. Atmospheric Chemistry and Physics Cloud-system resolving model simulations of aerosol
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 informationMICROPHYSICS COMPLEXITY EFFECTS ON STORM EVOLUTION AND ELECTRIFICATION
MICROPHYSICS COMPLEXITY EFFECTS ON STORM EVOLUTION AND ELECTRIFICATION Blake J. Allen National Weather Center Research Experience For Undergraduates, Norman, Oklahoma and Pittsburg State University, Pittsburg,
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 informationAssessing the performance of a prognostic and a diagnostic cloud scheme using single column model simulations of TWP ICE
Quarterly Journal of the Royal Meteorological Society Q. J. R. Meteorol. Soc. 138: 734 754, April 2012 A Assessing the performance of a prognostic and a diagnostic cloud scheme using single column model
More informationComparison of the Vertical Velocity used to Calculate the Cloud Droplet Number Concentration in a Cloud-Resolving and a Global Climate Model
Comparison of the Vertical Velocity used to Calculate the Cloud Droplet Number Concentration in a Cloud-Resolving and a Global Climate Model H. Guo, J. E. Penner, M. Herzog, and X. Liu Department of Atmospheric,
More informationUsing Cloud-Resolving Model Simulations of Deep Convection to Inform Cloud Parameterizations in Large-Scale Models
Using Cloud-Resolving Model Simulations of Deep Convection to Inform Cloud Parameterizations in Large-Scale Models S. A. Klein National Oceanic and Atmospheric Administration Geophysical Fluid Dynamics
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 informationFrank and Charles Cohen Department of Meteorology The Pennsylvania State University University Park, PA, 16801 -U.S.A.
376 THE SIMULATION OF TROPICAL CONVECTIVE SYSTEMS William M. Frank and Charles Cohen Department of Meteorology The Pennsylvania State University University Park, PA, 16801 -U.S.A. ABSTRACT IN NUMERICAL
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 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 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 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 informationConvective Vertical Velocities in GFDL AM3, Cloud Resolving Models, and Radar Retrievals
Convective Vertical Velocities in GFDL AM3, Cloud Resolving Models, and Radar Retrievals Leo Donner and Will Cooke GFDL/NOAA, Princeton University DOE ASR Meeting, Potomac, MD, 10-13 March 2013 Motivation
More informationRADIATION IN THE TROPICAL ATMOSPHERE and the SAHEL SURFACE HEAT BALANCE. Peter J. Lamb. Cooperative Institute for Mesoscale Meteorological Studies
RADIATION IN THE TROPICAL ATMOSPHERE and the SAHEL SURFACE HEAT BALANCE by Peter J. Lamb Cooperative Institute for Mesoscale Meteorological Studies and School of Meteorology The University of Oklahoma
More informationHow To Understand And Understand The Physics Of Clouds And Precipitation
Deutscher Wetterdienst Research and Development Physical Parameterizations: Cloud Microphysics and Subgrid-Scale Cloudiness Axel Seifert Deutscher Wetterdienst, Offenbach Deutscher Wetterdienst Research
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 informationTurbulence-microphysics interactions in boundary layer clouds
Turbulence-microphysics interactions in boundary layer clouds Wojciech W. Grabowski 1 with contributions from D. Jarecka 2, H. Morrison 1, H. Pawlowska 2, J.Slawinska 3, L.-P. Wang 4 A. A. Wyszogrodzki
More informationClimate Models: Uncertainties due to Clouds. Joel Norris Assistant Professor of Climate and Atmospheric Sciences Scripps Institution of Oceanography
Climate Models: Uncertainties due to Clouds Joel Norris Assistant Professor of Climate and Atmospheric Sciences Scripps Institution of Oceanography Global mean radiative forcing of the climate system for
More informationRoelof Bruintjes, Sarah Tessendorf, Jim Wilson, Rita Roberts, Courtney Weeks and Duncan Axisa WMA Annual meeting 26 April 2012
Aerosol affects on the microphysics of precipitation development in tropical and sub-tropical convective clouds using dual-polarization radar and airborne measurements. Roelof Bruintjes, Sarah Tessendorf,
More informationFundamentals of Climate Change (PCC 587): Water Vapor
Fundamentals of Climate Change (PCC 587): Water Vapor DARGAN M. W. FRIERSON UNIVERSITY OF WASHINGTON, DEPARTMENT OF ATMOSPHERIC SCIENCES DAY 2: 9/30/13 Water Water is a remarkable molecule Water vapor
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 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 informationASR CRM Intercomparison Study on Deep Convective Clouds and Aerosol Impacts
ASR CRM Intercomparison Study on Deep Convective Clouds and Aerosol Impacts J. FAN, B. HAN, PNNL H. MORRISON, A. VARBLE, S. COLLIS, X. DONG, S. GIANGRANDE, M. JENSEN, P. KOLLIAS, E. MANSELL, T. TOTO April
More information4.2 OBSERVATIONS OF THE WIDTH OF CLOUD DROPLET SPECTRA IN STRATOCUMULUS
4.2 OBSERVATIONS OF THE WIDTH OF CLOUD DROPLET SPECTRA IN STRATOCUMULUS Hanna Pawlowska 1 and Wojciech W. Grabowski 2 1 Institute of Geophysics, Warsaw University, Poland 2 NCAR, Boulder, Colorado, USA
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 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 informationNumber of activated CCN as a key property in cloud-aerosol interactions. Or, More on simplicity in complex systems
Number of activated CCN as a key property in cloud-aerosol interactions Or, More on simplicity in complex systems 1 Daniel Rosenfeld and Eyal Freud The Hebrew University of Jerusalem, Israel Uncertainties
More informationLimitations of Equilibrium Or: What if τ LS τ adj?
Limitations of Equilibrium Or: What if τ LS τ adj? Bob Plant, Laura Davies Department of Meteorology, University of Reading, UK With thanks to: Steve Derbyshire, Alan Grant, Steve Woolnough and Jeff Chagnon
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 informationNational Center for Atmospheric Research,* Boulder, Colorado V. TATARSKII
MARCH 2009 M O R R I S O N E T A L. 991 Impact of Cloud Microphysics on the Development of Trailing Stratiform Precipitation in a Simulated Squall Line: Comparison of One- and Two-Moment Schemes H. MORRISON
More informationTitelmasterformat durch Klicken. bearbeiten
Evaluation of a Fully Coupled Atmospheric Hydrological Modeling System for the Sissili Watershed in the West African Sudanian Savannah Titelmasterformat durch Klicken June, 11, 2014 1 st European Fully
More informationHow To Model The Weather
Convection Resolving Model (CRM) MOLOCH 1-Breve descrizione del CRM sviluppato all ISAC-CNR 2-Ipotesi alla base della parametrizzazione dei processi microfisici Objectives Develop a tool for very high
More informationCloud Radiation and the Law of Attraction
Convec,on, cloud and radia,on Convection redistributes the thermal energy yielding (globally-averaged), a mean lapse rate of ~ -6.5 o C/km. Radiative processes tend to produce a more negative temperature
More informationOn the use of Synthetic Satellite Imagery to Evaluate Numerically Simulated Clouds
On the use of Synthetic Satellite Imagery to Evaluate Numerically Simulated Clouds Lewis D. Grasso (1) Cooperative Institute for Research in the Atmosphere, Fort Collins, Colorado Don Hillger NOAA/NESDIS/STAR/RAMMB,
More informationHow To Model An Ac Cloud
Development of an Elevated Mixed Layer Model for Parameterizing Altocumulus Cloud Layers S. Liu and S. K. Krueger Department of Meteorology University of Utah, Salt Lake City, Utah Introduction Altocumulus
More informationA fast, flexible, approximate technique for computing radiative transfer in inhomogeneous cloud fields
JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 108, NO. D13, 4376, doi:10.1029/2002jd003322, 2003 A fast, flexible, approximate technique for computing radiative transfer in inhomogeneous cloud fields Robert Pincus
More informationTrimodal cloudiness and tropical stable layers in simulations of radiative convective equilibrium
GEOPHYSICAL RESEARCH LETTERS, VOL. 35, L08802, doi:10.1029/2007gl033029, 2008 Trimodal cloudiness and tropical stable layers in simulations of radiative convective equilibrium D. J. Posselt, 1 S. C. van
More informationA limited area model (LAM) intercomparison study of a TWP-ICE active monsoon mesoscale convective event
JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 117,, doi:10.1029/2011jd016447, 2012 A limited area model (LAM) intercomparison study of a TWP-ICE active monsoon mesoscale convective event Ping Zhu, 1 Jim Dudhia,
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 Review on the Uses of Cloud-(System-)Resolving Models
A Review on the Uses of Cloud-(System-)Resolving Models Jeffrey D. Duda Since their advent into the meteorological modeling world, cloud-(system)-resolving models (CRMs or CSRMs) have become very important
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 informationTurbulent mixing in clouds latent heat and cloud microphysics effects
Turbulent mixing in clouds latent heat and cloud microphysics effects Szymon P. Malinowski1*, Mirosław Andrejczuk2, Wojciech W. Grabowski3, Piotr Korczyk4, Tomasz A. Kowalewski4 and Piotr K. Smolarkiewicz3
More informationChapter 6 Atmospheric Aerosol and Cloud Processes Spring 2015 Cloud Physics Initiation and development of cloud droplets Special interest: Explain how droplet formation results in rain in approximately
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 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 informationEnergy Pathways in Earth s Atmosphere
BRSP - 10 Page 1 Solar radiation reaching Earth s atmosphere includes a wide spectrum of wavelengths. In addition to visible light there is radiation of higher energy and shorter wavelength called ultraviolet
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 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 informationGuy Carpenter Asia-Pacific Climate Impact Centre, School of energy and Environment, City University of Hong Kong
Diurnal and Semi-diurnal Variations of Rainfall in Southeast China Judy Huang and Johnny Chan Guy Carpenter Asia-Pacific Climate Impact Centre School of Energy and Environment City University of Hong Kong
More informationAn Introduction to Twomey Effect
An Introduction to Twomey Effect Guillaume Mauger Aihua Zhu Mauna Loa, Hawaii on a clear day Mauna Loa, Hawaii on a dusty day Rayleigh scattering Mie scattering Non-selective scattering. The impact of
More informationCan latent heat release have a negative effect on polar low intensity?
Can latent heat release have a negative effect on polar low intensity? Ivan Føre, Jon Egill Kristjansson, Erik W. Kolstad, Thomas J. Bracegirdle and Øyvind Sætra Polar lows: are intense mesoscale cyclones
More informationClouds and the Energy Cycle
August 1999 NF-207 The Earth Science Enterprise Series These articles discuss Earth's many dynamic processes and their interactions Clouds and the Energy Cycle he study of clouds, where they occur, and
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 informationA new positive cloud feedback?
A new positive cloud feedback? Bjorn Stevens Max-Planck-Institut für Meteorologie KlimaCampus, Hamburg (Based on joint work with Louise Nuijens and Malte Rieck) Slide 1/31 Prehistory [W]ater vapor, confessedly
More informationClouds. Ulrike Lohmann Department of Physics and Atmospheric Science, Dalhousie University, Halifax, N. S., Canada
Clouds Ulrike Lohmann Department of Physics and Atmospheric Science, Dalhousie University, Halifax, N. S., Canada Outline of this Lecture Overview of clouds Warm cloud formation Precipitation formation
More informationThe Surface Energy Budget
The Surface Energy Budget The radiation (R) budget Shortwave (solar) Radiation Longwave Radiation R SW R SW α α = surface albedo R LW εσt 4 ε = emissivity σ = Stefan-Boltzman constant T = temperature Subsurface
More informationLong-Term Cloud-Resolving Model Simulations of Cloud Properties and Radiative Effects of Cloud Distributions
Long-Term Cloud-Resolving Model Simulations of Cloud Properties and Radiative Effects of Cloud Distributions Xiaoqing Wu and Sunwook Park Department of Geological and Atmospheric Sciences Iowa State University,
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 informationConvective Systems over the South China Sea: Cloud-Resolving Model Simulations
VOL. 60, NO. 24 JOURNAL OF THE ATMOSPHERIC SCIENCES 15 DECEMBER 2003 Convective Systems over the South China Sea: Cloud-Resolving Model Simulations W.-K. TAO Laboratory for Atmospheres, NASA Goddard Space
More informationChanging Clouds in a Changing Climate: Anthropogenic Influences
Changing Clouds in a Changing Climate: Anthropogenic Influences Joel Norris Assistant Professor of Climate and Atmospheric Sciences Scripps Institution of Oceanography Global mean radiative forcing of
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 informationDETAILED STORM SIMULATIONS BY A NUMERICAL CLOUD MODEL WITH ELECTRIFICATION AND LIGHTNING PARAMETERIZATIONS
DETAILED STORM SIMULATIONS BY A NUMERICAL CLOUD MODEL WITH ELECTRIFICATION AND LIGHTNING PARAMETERIZATIONS Don MacGorman 1, Ted Mansell 1,2, Conrad Ziegler 1, Jerry Straka 3, and Eric C. Bruning 1,3 1
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 informationParameterization of Cumulus Convective Cloud Systems in Mesoscale Forecast Models
DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. Parameterization of Cumulus Convective Cloud Systems in Mesoscale Forecast Models Yefim L. Kogan Cooperative Institute
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 informationMixed-phase layer clouds
Mixed-phase layer clouds Chris Westbrook and Andrew Barrett Thanks to Anthony Illingworth, Robin Hogan, Andrew Heymsfield and all at the Chilbolton Observatory What is a mixed-phase cloud? Cloud below
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 informationHow To Calculate Turbulent Collision
Impact of turbulent collisions on cloud development Ryo Onishi and Keiko Takahashi Earth Simulator Center (ESC), Japan Agency of Marine-Earth Science and Technology (JAMSTEC) Turbulent collision kernel
More informationUnified Cloud and Mixing Parameterizations of the Marine Boundary Layer: EDMF and PDF-based cloud approaches
DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. Unified Cloud and Mixing Parameterizations of the Marine Boundary Layer: EDMF and PDF-based cloud approaches Joao Teixeira
More information1D shallow convective case studies and comparisons with LES
1D shallow convective case studies and comparisons with CNRM/GMME/Méso-NH 24 novembre 2005 1 / 17 Contents 1 5h-6h time average vertical profils 2 2 / 17 Case description 5h-6h time average vertical profils
More informationHarvard wet deposition scheme for GMI
1 Harvard wet deposition scheme for GMI by D.J. Jacob, H. Liu,.Mari, and R.M. Yantosca Harvard University Atmospheric hemistry Modeling Group Februrary 2000 revised: March 2000 (with many useful comments
More informationE- modeling Of The Arctic Cloud System
GEOPHYSICAL RESEARCH LETTERS, VOL. 32, L18801, doi:10.1029/2005gl023614, 2005 Possible roles of ice nucleation mode and ice nuclei depletion in the extended lifetime of Arctic mixed-phase clouds Hugh Morrison,
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 informationDiurnal Cycle of Convection at the ARM SGP Site: Role of Large-Scale Forcing, Surface Fluxes, and Convective Inhibition
Thirteenth ARM Science Team Meeting Proceedings, Broomfield, Colorado, March 31-April 4, 23 Diurnal Cycle of Convection at the ARM SGP Site: Role of Large-Scale Forcing, Surface Fluxes, and Convective
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 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 informationTheory of moist convection in statistical equilibrium
Theory of moist convection in statistical equilibrium By analogy with Maxwell-Boltzmann statistics Bob Plant Department of Meteorology, University of Reading, UK With thanks to: George Craig, Brenda Cohen,
More informationNational Center for Atmospheric Research,* Boulder, Colorado. (Manuscript received 2 December 1999, in final form 3 October 2000)
1MAY 2001 WU AND MONCRIEFF 1155 Long-Term Behavior of Cloud Systems in TOGA COARE and Their Interactions with Radiative and Surface Processes. Part III: Effects on the Energy Budget and SST XIAOING WU
More informationCloud Parameterizations in SUNYA Regional Climate Model for the East Asia Summer Monsoon Simulations
TAO, Vol. 16, No. 5, 959-987, December 2005 Cloud Parameterizations in SUNYA Regional Climate Model for the East Asia Summer Monsoon Simulations Chao-Tzuen Cheng 1, * and Wei-Chyung Wang 1 (Manuscript
More informationComparing Properties of Cirrus Clouds in the Tropics and Mid-latitudes
Comparing Properties of Cirrus Clouds in the Tropics and Mid-latitudes Segayle C. Walford Academic Affiliation, fall 2001: Senior, The Pennsylvania State University SOARS summer 2001 Science Research Mentor:
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 informationComparison of ice cloud properties simulated by the Community Atmosphere Model (CAM5) with in-situ observations
Atmos. Chem. Phys., 14, 113 1118, 214 doi:1.5194/acp-14-113-214 Author(s) 214. CC Attribution 3. License. Comparison of ice cloud properties simulated by the Community Atmosphere Model (CAM5) with in-situ
More informationA Mass-Flux Scheme View of a High-Resolution Simulation of a Transition from Shallow to Deep Cumulus Convection
JULY 2006 K U A N G A N D BRETHERTON 1895 A Mass-Flux Scheme View of a High-Resolution Simulation of a Transition from Shallow to Deep Cumulus Convection ZHIMING KUANG* Division of Geological and Planetary
More informationEvolution of convective cloud top height: entrainment and humidifying processes. EUROCS Workshop, Madrid, 16-19/12/2002
Jean-Marcel Piriou Centre National de Recherches Météorologiques Groupe de Modélisation pour l Assimilation et la Prévision Evolution of convective cloud top height: entrainment and humidifying processes
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 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 informationHighly Scalable Dynamic Load Balancing in the Atmospheric Modeling System COSMO-SPECS+FD4
Center for Information Services and High Performance Computing (ZIH) Highly Scalable Dynamic Load Balancing in the Atmospheric Modeling System COSMO-SPECS+FD4 PARA 2010, June 9, Reykjavík, Iceland Matthias
More informationMass flux fluctuation in a cloud resolving simulation with diurnal forcing
Mass flux fluctuation in a cloud resolving simulation with diurnal forcing Jahanshah Davoudi Norman McFarlane, Thomas Birner Physics department, University of Toronto Mass flux fluctuation in a cloud resolving
More informationSensitivity studies of developing convection in a cloud-resolving model
Q. J. R. Meteorol. Soc. (26), 32, pp. 345 358 doi:.256/qj.5.7 Sensitivity studies of developing convection in a cloud-resolving model By J. C. PETCH Atmospheric Processes and Parametrizations, Met Office,
More informationSolar Energy Forecasting Using Numerical Weather Prediction (NWP) Models. Patrick Mathiesen, Sanyo Fellow, UCSD Jan Kleissl, UCSD
Solar Energy Forecasting Using Numerical Weather Prediction (NWP) Models Patrick Mathiesen, Sanyo Fellow, UCSD Jan Kleissl, UCSD Solar Radiation Reaching the Surface Incoming solar radiation can be reflected,
More informationA quick look at clouds: what is a cloud, what is its origin and what can we predict and model about its destiny?
A quick look at clouds: what is a cloud, what is its origin and what can we predict and model about its destiny? Paul DeMott Colorado State University A look at clouds: what is a cloud, what is its origin
More informationIden%fying CESM cloud and surface biases at Summit, Greenland
Iden%fying CESM cloud and surface biases at Summit, Greenland Nathaniel Miller (CU- ATOC, CIRES) MaEhew Shupe, Andrew GeEleman, Jennifer Kay, Line Bourdages CESM Ice Sheet Surface Biases Cross Working
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 informationCHARACTERISTICS OF CLOUDS AND THE NEAR CLOUD ENVIRONMENT IN A SIMULATION OF TROPICAL CONVECTION
CHARACTERISTICS OF CLOUDS AND THE NEAR CLOUD ENVIRONMENT IN A SIMULATION OF TROPICAL CONVECTION by Ian Bruce Glenn A thesis submitted to the faculty of The University of Utah in partial fulfillment of
More informationCloud-resolving simulation of TOGA-COARE using parameterized largescale
Cloud-resolving simulation of TOGA-COARE using parameterized largescale dynamics Shuguang Wang 1, Adam H. Sobel 2, and Zhiming Kuang 3 -------------- Shuguang Wang, Department of Applied Physics and Applied
More informationVarious Implementations of a Statistical Cloud Scheme in COSMO model
2 Working Group on Physical Aspects 61 Various Implementations of a Statistical Cloud Scheme in COSMO model Euripides Avgoustoglou Hellenic National Meteorological Service, El. Venizelou 14, Hellinikon,
More information