Climate Modeling Issues at GFDL on the Eve of AR5

Similar documents
Sungsu Park, Chris Bretherton, and Phil Rasch

Atmospheric modeling in the Climate System. Joe Tribbia NCAR.ESSL.CGD.AMP

How not to build a Model: Coupling Cloud Parameterizations Across Scales. Andrew Gettelman, NCAR

Leo Donner GFDL/NOAA, Princeton University. EGU, Vienna, 18 April 2016

MEA 716 Exercise, BMJ CP Scheme With acknowledgements to B. Rozumalski, M. Baldwin, and J. Kain Optional Review Assignment, distributed Th 2/18/2016

Report to WGNE: Selected GFDL Research Activities

From small-scale turbulence to large-scale convection: a unified scale-adaptive EDMF parameterization

Parametrizing Cloud Cover in Large-scale Models

Radiative Convective Equilibrium in Single Column CAM. I Kuan Hu, Brian Mapes, Richard Neale, and Andrew Gettelman 22 nd CESM Workshop

Structure of Mass-Flux Convection Paprameterization. by Jun-Ichi Yano Meteo France Toulouse

Short Term forecasts along the GCSS Pacific Cross-section: Evaluating new Parameterizations in the Community Atmospheric Model

A Global Atmospheric Model. Joe Tribbia NCAR Turbulence Summer School July 2008

Using Cloud-Resolving Models for Parameterization Development

Impact of different cumulus parameterizations on the numerical simulation of rain over southern China

Errors caused by draft fraction in cumulus parameterization

Standalone simulations: CAM3, CAM4 and CAM5

A Unified Convection Scheme : UNICON

Tropical cyclone simulations and predictions with GFDL s prototype global cloud resolving model

WaVaCS summerschool Autumn 2009 Cargese, Corsica

Short Term forecasts along the GCSS Pacific Cross-section: Evaluating new Parameterizations in the Community Atmospheric Model

Transport of radon-222 and methyl iodide by deep convection in the GFDL Global Atmospheric Model AM2

Analysis of Cloud-Radiation Interactions Using ARM Observations and a Single-Column Model

Aerosol-Cloud-Climate Interaction: A Case Study from the Indian Ocean. Sagnik Dey

Physical Processes & Issues

Incorporation of 3D Shortwave Radiative Effects within the Weather Research and Forecasting Model

CHAPTER 8. AEROSOLS 8.1 SOURCES AND SINKS OF AEROSOLS

Role of atmospheric aerosol concentration on deep convective precipitation: Cloud-resolving model simulations

Testing and Improving Pacific NW PBL forecasts

A 2-d modeling approach for studying the formation, maintenance, and decay of Tropical Tropopause Layer (TTL) cirrus associated with Deep Convection

Cumulus parameterization in non-convection-resolving models

Moist convec+on in models (and observa+ons)

Development of the Atmospheric Component of the Next Generation GFDL Climate Model

Geophysical Fluid Dynamics Laboratory general circulation model investigation of the indirect radiative effects of anthropogenic sulfate aerosol

Introduction. Effect of aerosols on precipitation: - challenging problem - no agreement between the results (quantitative and qualitative)

Importance of minor treatments in parameterizations in GCMs for the cloud representations and the cloud feedbacks

Unified Cloud and Mixing Parameterizations of the Marine Boundary Layer: EDMF and PDF-based cloud approaches

Diagnosis of Relative Humidity Changes in a Warmer Climate Using Tracers of Last Saturation

Subgrid-Scale Effects on Climate and Weather. Blackbird:Users:randall:UCLA_IPAM:UCLA_IPAM.frame

Evaluating parameterisations of subgridscale variability with satellite data

Mid High Latitude Cirrus Precipitation Processes. Jon Sauer, Dan Crocker, Yanice Benitez

Diabatic Processes. Diabatic processes are non-adiabatic processes such as. entrainment and mixing. radiative heating or cooling

Modeling of cloud microphysics: from simple concepts to sophisticated parameterizations. Part I: warm-rain microphysics

Interactions among Cloud, Water Vapor, Radiation and. Large-scale Circulation in the Tropical Climate. Department of Atmospheric Sciences

Why do GCMs have trouble with the MJO?

4.4 DRIZZLE-INDUCED MESOSCALE VARIABILITY OF BOUNDARY LAYER CLOUDS IN A REGIONAL FORECAST MODEL. David B. Mechem and Yefim L.

meso-sas, a modification of the SAS for meso-scale models Hua-Lu pan Qingfu Liu

Unified Cloud and Mixing Parameterizations of the Marine Boundary Layer: EDMF and PDF-based cloud approaches

! An Update on CAM-CLUBB Coupled Simulations

Prediction of clouds and precipitation in atmospheric models

Numerical simulation of marine stratocumulus clouds Andreas Chlond

Impacts of aerosols in the CORDEX-Europe domain using the regional aerosol-climate model REMO-HAM

A new theory for moist convection in statistical equilibrium

Evaluating parameterized variables in the Community Atmospheric Model along the GCSS Pacific cross-section

Sensitivity to the PBL and convective schemes in forecasts with CAM along the Pacific Cross-section

Reverse engineering* convection Digesting fast process observations for climate models

Large-scale changes in the atmospheric water cycle in models and observations

An Introduction to Coupled Models of the Atmosphere Ocean System

Modelling aerosol-cloud interations in GCMs

Clouds on Mars Cloud Classification

Tropical Intraseasonal Variability in Version 3 of the GFDL Atmosphere Model

Lecture 7: The Monash Simple Climate

Atmospheric Modeling I: Physics in the Community Atmosphere Model (CAM)

Implications of Sulfate Aerosols on Clouds, Precipitation and Hydrological Cycle

Modeling Challenges At High Latitudes. Judith Curry Georgia Institute of Technology

Recent Developments at NOAA/GFDL

How to tackle long-standing uncertainties?

Single-Column Modeling, General Circulation Model Parameterizations, and Atmospheric Radiation Measurement Data

Spectral and Bulk Mass-Flux Convective Parameterizations

KRISTIN LARSON AND DENNIS L. HARTMANN

Two-moment bulk stratiform cloud microphysics in the GFDL AM3 GCM: description, evaluation, and sensitivity tests

ANALYSIS OF THE MPAS CONVECTIVE-PERMITTING PHYSICS SUITE IN THE TROPICS WITH DIFFERENT PARAMETERIZATIONS OF CONVECTION REMARKS AND MOTIVATIONS

TOWARD ASSESSING THE EFFECT OF AEROSOLS ON DEEP CONVECTION: A NUMERICAL STUDY USING THE WRF-CHEMISTRY MODEL

Chapter 7 Precipitation Processes

Warm rain variability and its association with cloud mesoscalestructure t and cloudiness transitions. Photo: Mingxi Zhang

Spectral cumulus parameterization based on cloud resolving model

Prediction of cirrus clouds in GCMs

Warm rain and climate: VOCALS, CloudSat, Models. Robert Wood University of Washington

Aerosols AP sizes AP types Sources Sinks Amount and lifetime Aerosol radiative effects. Aerosols. Trude Storelvmo Aerosols 1 / 21

ECMWF Workshop on "Parametrization of clouds and precipitation across model resolutions

Higher-order closures and cloud parameterizations

Warm Rain Precipitation Processes

Tropical moist dynamical theory from AIRS and TRMM

Exploring stochastic model uncertainty representations

Sensitivity of Precipitation in Aqua-Planet Experiments with an AGCM

Climate Dynamics (PCC 587): Feedbacks & Clouds

Projected future increase of tropical cyclones near Hawaii. Hiroyuki Murakami, Bin Wang, Tim Li, and Akio Kitoh University of Hawaii at Manoa, IPRC

9D.3 THE INFLUENCE OF VERTICAL WIND SHEAR ON DEEP CONVECTION IN THE TROPICS

Representing sub-grid heterogeneity of cloud and precipitation across scales

Parameterization of effects of unresolved clouds and precipitation

Parameterization of Cumulus Convective Cloud Systems in Mesoscale Forecast Models

Lecture 9: Climate Sensitivity and Feedback Mechanisms

Using Data Assimilation to Explore Precipitation - Cloud System - Environment Interactions

Simulations of global hurricane climatology, interannual variability, and response to global warming using a 50km resolution GCM

Precipitating convection in cold air: Virtual potential temperature structure

Aerosol Effects on Water and Ice Clouds

Parcel Model. Atmospheric Sciences September 30, 2012

8.2 Numerical Study of Relationships between Convective Vertical Velocity, Radar Reflectivity Profiles, and Passive Microwave Brightness Temperatures

The history of Convection According to Betts and Miller

A. Parodi 1, (1) CIMA Research Foundation, Italy. in cooperation with: K. A. Emanuel 2, and E. Foufoula-Georgiou 3 (2) EAPS, MIT, USA

What you need to know in Ch. 12. Lecture Ch. 12. Atmospheric Heat Engine

Transcription:

Climate Modeling Issues at GFDL on the Eve of AR5 Leo Donner, Chris Golaz, Yi Ming, Andrew Wittenberg, Bill Stern, Ming Zhao, Paul Ginoux, Jeff Ploshay, S.J. Lin, Charles Seman CPPA PI Meeting, 29 September 2008

New Science Questions for Next- Generation Model What are the roles of aerosol-cloud interactions in climate and climate change? How will land and ocean carbon cycles interact with climate change? To what extent is decadal prediction possible? What are the dominant chemistry-climate feedbacks?

Model Development to Address New Scientific Questions Interactive chemistry to link emissions to aerosol composition Sub-grid vertical velocity PDFs for convective and stratiform clouds => Supersaturation at cloud scale for aerosol activation Sufficiently realistic tropical land precipitation for land carbon model Stratospheric model for chemistry and possible links to troposphere on multi-year time scales

Cumulus Convection AM2 (IPCC AR4): Relaxed Arakawa-Schubert (Moorthi and Suarez, 1992, Mon. Wea. Rev.) with ensemble of deep and shallow plumes characterized by mass fluxes. Precipitation proportional to condensate. AM3 Deep: Donner (2001, J. Clim.), Wilcox and Donner (2007, J. Clim.) with ensemble of deep plumes with mass fluxes and vertical velocities. Simple bulk microphysics. Mesoscale updrafts and downdrafts. AM3 Shallow: Bretherton et al. (2004, Mon. Wea. Rev.) with buoyancy-sorting, entraining-detraining plume and vertical velocity.

CRM results provide independent evaluation of entrainment PDF ARM * * * * * * * * * ** * * * *Low PW and Rain Rate *High PW and Rain Rate *High PW and Low Rain Rate * * CRM results from Cris Batstone, CDC; *,*,* from Donner (1993) entrainment PDF

Vertical Velocity Variability in Stratiform Clouds As in AM2, basic stratiform parameterization is Tiedtke (1993, Mon. Wea. Rev.) Prognostic cloud fraction; linked to bulk microphysics (Rotstayn, 1997, QJRMS) Uniform vertical velocity (nonconvective grid mean) replaced for purposes of droplet activation

Activation (Ming et al., 2006,JAS) T = 288 K p = 850 hpa Aerosol mass = { 0.5, 0.5, 0.5 } x 10-12 kg

~ 12.9 km updraft: activation downdraft: evaporation

Large-scale CCN activation Layer-averaged activation: Because N* is non-linear However,

Large-scale CCN activation In AM2, we don t have. For now, assume a Gaussian distribution. Distribution width is related empirically to mixing coefficients Kh. CCN activation is computed by integration over the distribution using a Gauss-Hermite quadrature.

Mean droplet size (µm)

Dynamical Core and Boundary Layer Finite-volume dy-core (Lin, 2004, Mon. Wea. Rev.) Cubed-sphere implementation, composed of 6 rectangular domains No singularity associated with spherical pole PBL, as in AM2, follows Lock et al. (2001, J. Atmos. Sci.)

3 ways to visualize the Cubed Sphere Precipitation: C360 HiRam-2

Mean climate in AM3 generally similar to AM2

Ocean Coupling

Transients are exhibiting strong dependence on details of closure for cumulus parameterization

CAPE relax closure Ocean Coupling

Zhang (2002, JGR) closure Ocean Coupling

Development Issues-Injection of Water Vapor into Stratosphere Donner (2003, J. Clim.) cumulus parameterization allows overshooting towers and stratospheric water vapor injection Stratospheric water vapor sensitive to details of cumulus closure

No Chemistry No Link between PBL TKE and cumulus entrainment

No Chemistry Link between Cumulus Entrainment and PBL TKE

Indirect Effect and 20 th Century Climate AM2 (IPCC AR4) Sulfate+OC+BC forcing ~ -0.4 W m -2 (external mix) AM2 Sulfate+OC+BC Pre-Industrial -> Present-Day Radiative Flux Perturbation (RFP) ~ -0.8 W m -2 (external mix) Aerosol-cloud interaction AM with external mix RFP ~ -3.0 W m -2 Aerosol-cloud interaction AM with sulfatehydrophilic carbon internal mix pseudoforcing ~ -1.6 W m -2

External Mixture Increased absorption using internal mixture agrees better with Aeronet. Internal Mixture- Sulfate and Hydrophilic Carbon

Excessive Cooling by Indirect Effect (Lohmann et al., 2007, BAMS)? Less direct effect (internal mixing) Extent of warm-cloud nucleation by organics PI PD aerosol concentrations Warming by ice cloud-aerosol interactions Dispersion and other microphysics Cloud-scale instabilities limiting increased liquid at high aerosol (Ackerman et al., 2004, Nature) Fundamental issues with cloud macrophysics, N.B., ERBE net cloud forcing ~ -20 W m -2

Summary Cloud-aerosol interactions ( indirect effect ), atmospheric chemistry, and increased troposphere-stratosphere coupling are key developments in GFDL AM for AR5 Physics changes required for cloud-aerosol interaction include macrophysics (sub-grid vertical velocity PDFs) for convective and stratiform clouds and microphysics (aerosol activation) Increased vertical resolution and chemistry for stratosphere-troposphere coupling

Zhang (2002, JGR) closure without low-level lift req d

CAPE relaxation closure

Zhang (2002, JGR) closure with low-level lift req d

Zhang (2002, JGR) closure w/ low-level lift req d

Zhang (2006, JGR) without low-level lift req d

CAPE relaxation closure

CAPE relaxation closure

Zhang (2002, JGR) closure with lowlevel lift req d

Zhang (2002, JGR) closure without low-level lift req d