Differences in the aerosol indirect effect between simulations with GEOS-Chem Bulk and TOMAS. Jack Kodros & Jeff Pierce

Similar documents
The Sensitivity of Global Nucleation, CCN and Climate to SO2 and Criegee-Intermediate Chemistry

AEROCOM-Workshop,Paris, June 2-3, model. Øyvind Seland; Alf Kirkevåg

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

Introduction Methodology Some early results Conclusion Questions. Production-tagged aerosols in NorESM

Climate Modeling Issues at GFDL on the Eve of AR5

Progress on Application of Modal Aerosol Dynamics to CAM

Potential impacts of aerosol and dust pollution acting as cloud nucleating aerosol on water resources in the Colorado River Basin

Introduction to aerosol modeling with WRF/Chem

Desert Amplification in a Warming Climate

The climate change penalty on US air quality: New perspectives from statistical models

Supporting Information

Direct radiative forcing due to aerosols in Asia during March 2002

Can dust cause droughts?

The effects of dust emission on the trans- Pacific transport of Asian dust in the CESM

Simple MODIS-Simulator A light alternative for some applications

AEROSOL-CLOUD INTERACTIONS AND PRECIPITATION IN A GLOBAL SCALE. SAHEL Conference April 2007 CILSS Ouagadougou, Burkina Faso

Parameterization of the nitric acid effect on CCN activation

Aerosol modeling with WRF/Chem

CHAPTER 8. AEROSOLS 8.1 SOURCES AND SINKS OF AEROSOLS

Physio-chemical and Optical Characterization of Anthropogenic and Natural Aerosol: Implications for Assessing Global Effects

Implications of Sulfate Aerosols on Clouds, Precipitation and Hydrological Cycle

Introduction to climate modelling: Evaluating climate models

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

Using observations to constrain climate project over the Amazon - Preliminary results and thoughts

Stratospheric sulfate geoengineering has limited efficacy and increases tropospheric sulfate burdens

Putting Secondary Organic Aerosol in Global Models. Issues and Approaches

A cloud microphysics model including trace gas condensation and sulfate chemistry

Updated H 2 SO 4 -H 2 O binary homogeneous nucleation look-up tables

The Interaction of Water and Aerosols in the Marine Boundary Layer: A Study of Selected Processes Impacting Radiative Transfer and Cloudiness

Beyond IPCC plots. Ben Sanderson

Why is it difficult to predict climate? Understanding current scientific challenges

Effects of Galactic Cosmic Rays on the Atmosphere and Climate. Jón Egill Kristjánsson, Univ. Oslo

climate change Contents CO 2 (ppm)

Climate impacts of ice nucleation

Aerosols and Cloud Interactions. Bill Collins Berkeley Lab and UC Berkeley

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

Cloud Brightening and Climate Change

Global Change and Air Pollution (EPA-STAR GCAP) Daniel J. Jacob

It is possible that it does, although most steps are too poorly quantified to be certain. CLAW Hypothesis

Prof. V. Faye McNeill Department of Chemical Engineering. Columbia University Summer. Teachers August 19, 2009

SUPPLEMENTARY INFORMATION

Modelling aerosol-cloud interations in GCMs

Arctic Chemistry And Climate

Physical Processes & Issues

Aerosol Basics: Definitions, size distributions, structure

Aerosol. Challenge: Global Warming. Observed warming during 20 th century, Tapio. 1910s. 1950s. 1990s T [Kelvin]

Corinna Hoose 1,2, J. E. Kristjánsson 2, S. Arabas 3, R. Boers 4, H. Pawlowska 3, V. Puygrenier 5, H. Siebert 6, and O. Thouron 5 1.

Introduction to WRF-Chem

Dependence of Radiative Forcing on Mineralogy in the Community Atmosphere Model

Climate Change Scenario, Climate Model and Future Climate Projection

representing in-cloud oxidation of sulfur in a particle-based cloud-microphysics scheme

Short Course Challenges in Understanding Cloud and Precipitation Processes and Their Impact on Weather and Climate

Aerosol Influence on Mixed-Phase Clouds in CAM-Oslo

Introduction to WRF- Chem

Aerosol Effects on Water and Ice Clouds

SUPPLEMENTARY INFORMATION

Machine Learning to Predict the Global Distribution of Aerosol Mixing State Metrics

Significant anthropogenic-induced changes. of climate classes since 1950

Consistent estimates from satellites and models for the first aerosol indirect forcing

The role of dust on cloud-precipitation cycle

DEVELOPMENT AND TESTING OF AN AEROSOL / STRATUS CLOUD PARAMETERIZATION SCHEME FOR MIDDLE AND HIGH LATITUDES

The Response of ENSO Events to Higher CO 2 Forcing: Role of Nonlinearity De-Zheng Sun, Jiabing Shuai, and Shao Sun

SUPPLEMENTARY INFORMATION

VOCALS Cloud-Drizzle-Aerosol Theme

Sources and distribution of sea salt aerosol from the Tropics to the Poles

The Atmospheric Chemistry and Physics of Ammonia

Predicting cloud droplet number concentration in Community Atmosphere Model (CAM)-Oslo

Decadal shifts of East Asian summer monsoon in a climate. model free of explicit GHGs and aerosols

Spatiotemporal patterns of changes in maximum and minimum temperatures in multi-model simulations

The connection between cosmic rays, clouds and climate

Global climate response to anthropogenic aerosol indirect effects: Present day and year 2100

Twenty-first-century projections of North Atlantic tropical storms from CMIP5 models

Effective radiative forcing in the aerosol climate model CAM5.3- MARC-ARG

Slides partly by Antti Lauri and Hannele Korhonen. Liquid or solid particles suspended in a carrier gas Described by their

Anthropogenic forcing fingerprint on the tropical Pacific sea level trend pattern from the CMIP5 simulations of the XXI st century

Wrap-up of Lecture 2. Aerosol Forcing and a Critique of the Global Warming Consensus

Supplemental Material

Atmospheric ice nuclei concentrations and characteristics constraining the role of biological ice nuclei

Decadal Change in East Asian Monsoon Climate System: Natural Variability versus Anthropogenic Forcing

Observations and Modelling in AeroCom

Radiative forcing from tropospheric and stratospheric ozone

1 Executive summary. 2 Research activities and results

David Edwards, Jérôme Barré and Helen Worden (NCAR) Arlindo da Silva (NASA GSFC) is sponsored by the National Science Foundation.

Overview of the Particle Size Magnifier (PSM)

Stratospheric sulfate geoengineering has limited efficacy and increases tropospheric burdens

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

A revival of Indian summer monsoon rainfall since 2002

Anthropogenic forcing dominates global mean sea-level rise since 1970

Updated Dust-Iron Dissolution Mechanism: Effects Of Organic Acids, Photolysis, and Dust Mineralogy

Diurnal and seasonal variations of ultrafine particle formation in anthropogenic SO2 plumes

Importance of Composition and Hygroscopicity of BC Particles to the Effect of BC Mitigation on Cloud Properties: Application to California Conditions

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

On-line Aerosols in the Oslo Version of CAM3: Some shortcomings. Seland,

The connection between cosmic rays, clouds and climate

Biogenic aerosols and their interactions with climate. Yuzhong Zhang

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

How Will Low Clouds Respond to Global Warming?

Aerosol-Cloud-Radiation Interactions in Atmospheric Forecast Models

Sensitivity analysis and calibration of a global aerosol model

Humidity impact on the aerosol effect in warm cumulus clouds

Transcription:

Differences in the aerosol indirect effect between simulations with GEOS-Chem Bulk and TOMAS Jack Kodros & Jeff Pierce

Aerosol representation in models: predict size distribution or scale size distribution GEOS-Chem-TOMAS (sectional aerosol scheme) Add tracers for aerosol size (40-bin TOMAS ~360 tracers) computational burden

Aerosol representation in models: predict size distribution or scale size distribution GEOS-Chem-TOMAS (sectional aerosol scheme) Add tracers for aerosol size (40-bin TOMAS ~360 tracers) computational burden GEOS-Chem (standard) (bulk aerosol scheme) Track only total mass, assume fixed lognormal modes simplification

Standard bulk GEOS-Chem aerosol: single fixed mode for sulfate everywhere Aerosol number distribution for 1 µg m -3 sulfate dn/dlog10(dp) [cm -3 ] Standard GEOS-Chem Diameter [µm]

Nucleation-rich region: Standard GEOS-Chem assumption is wrong Aerosol number distribution for 1 µg m -3 sulfate Nucleation-dominated region dn/dlog10(dp) [cm -3 ] Standard GEOS-Chem Diameter [µm]

Aqueous-oxidation-dominated region: Standard GEOS-Chem assumption also wrong Aerosol number distribution for 1 µg m -3 sulfate Nucleation-dominated region dn/dlog10(dp) [cm -3 ] Aqueous-ox.-dominated region Standard GEOS-Chem Diameter [µm]

Same total mass, very different CCN concentration Aerosol number distribution for 1 µg m -3 sulfate dn/dlog10(dp) [cm -3 ] Aqueous-ox.-dominated region Nucleation-dominated region Cloud Condensation Nuclei (Cloud-relevant sizes) Standard GEOS-Chem Diameter [µm]

Same total mass, very different CCN concentration Aerosol number distribution for 1 µg m -3 sulfate dn/dlog10(dp) [cm -3 ] Aqueous-ox.-dominated region Nucleation-dominated region Cloud Condensation Nuclei (Cloud-relevant sizes) Standard GEOS-Chem One size does not fit all for aerosol-cloud interactions Diameter [µm]

How do aerosol size distributions change around the globe due to anthropogenic emissions? In the standard GEOS-Chem model, the aerosol size distribution is assumed not to change What are the errors in the aerosol indirect effect because of this?

Experiment: Compare the aerosol indirect effect due to all anthropogenic emissions present day Simulation 1: all emissions included - pre-industrial Simulation 2: turn off all anthropogenic gas and aerosol emissions

Aerosol indirect effect due to anthropogenic emissions in TOMAS (-0.87 W m -2 )

Important differences in AIE (Standard-TOMAS) Difference: +0.2 W m -2 (24%) W m -2 More cloud reflectivity in Standard More cloud reflectivity in TOMAS

Decreasing particle size in TOMAS, larger relative increase in CCN for the same Δ mass TOMAS TOMAS (anthro off) Standard Standard (anth off) dn/dlog10(dp) [cm -3 ] Diameter [µm]

dn/dlog10(dp) [cm -3 ] Increasing particle size in TOMAS from aqueous oxidation, less CCN for same Δ mass TOMAS TOMAS (anthro off) Standard Standard (anthro off) Diameter [µm]

Comparison to observations: Both methods produce realistic results in present-day TOMAS CCN-sized particles Standard CCN-sized particles Model [cm -3 ] Observations [cm -3 ]

Aerosol number distribution for 1 µg m -3 sulfate Conclusion dn/dlog10(dp) [cm -3 ] Assuming fixed size distributions Diameter [µm] leads to differences in the estimated aerosol indirect effect Kodros, J. K., Pierce, J. R.: Important global and regional differences in cloud-albedo aerosol indirect effect estimates between simulations with and without prognostic aerosol microphysics, J. Geophys. Res., 2017.

List of ACCMIP models CICERO-OsloCTM2 CSIRO-Mk3.6 GFDL-AM3 GISS-E2-R GISS-E2-R-TOMAS HadGEM2 LMDzORINCA MIROC-CHEM NCAR-CAM3.5 NCAR-CAM5.1

With size resolution? CICERO-OsloCTM2 CSIRO-Mk3.6 GFDL-AM3 GISS-E2-R GISS-E2-R-TOMAS HadGEM2 LMDzORINCA MIROC-CHEM NCAR-CAM3.5 NCAR-CAM5.1

Included in APCC AR5? CICERO-OsloCTM2 CSIRO-Mk3.6 GFDL-AM3 GISS-E2-R GISS-E2-R-TOMAS HadGEM2 LMDzORINCA MIROC-CHEM NCAR-CAM3.5 NCAR-CAM5.1

(a) TOMAS anth on (b) LOGNORMAL anth on (c) TOMAS anth off (d) LOGNORMAL anth off 10 1.0 10 1.2 10 1.4 10 1.6 10 1.8 10 2.0 10 2.2 10 2.4 10 2.6 10 2.8 10 3.0 10 3.2 10 3.4 10 3.6 10 3.8 10 4.0 cm 3

Comparison to observations: Both methods produce realistic results in present-day N10 N40 N80 N150 Model [cm-3] TOMAS LOGNORMAL Observations [cm-3]

2024 © sciencedocbox.com Privacy Policy | Terms of Service | Feedback