Global Aerosol Microphysics With TOMAS Peter J. Adams Acknowledgments: Win Trivitayanurak GEOS-CHEM User’s Meeting April 7, 2009 Center for Atmospheric.

Slides:



Advertisements
Similar presentations
SOLAS Dust workshop (Reading) Overview of dust modelling from Leeds global aerosol group Graham Mann, Ken Carslaw, Dominick Spracklen,
Advertisements

Aerosol Lifetimes at High Latitudes Betty Croft 1, Jeff Pierce 1,2 and Randall Martin 1,3 1 Dalhousie University, Halifax, Canada 2 Colorado State University,
2. Formation of Cloud droplets
By : Kerwyn Texeira. Outline Definitions Introduction Model Description Model Evaluation The effect of dust nuclei on cloud coverage Conclusion Questions.
Proposed Aerosol Treatment for CAM4 Steve Ghan, Richard Easter, Xiaohong Liu, Rahul Zaveri Pacific Northwest National Laboratory precursor emissions coagulation.
Section highlights Organic Aerosol and Field Studies.
Biogenic Secondary Organic Aerosol Formation Michael Boy ASP / ACD / NCAR.
Incorporation of the Model of Aerosol Dynamics, Reaction, Ionization and Dissolution (MADRID) into CMAQ Yang Zhang, Betty K. Pun, Krish Vijayaraghavan,
Aerosols By Elizabeth Dahl (2005) Edited by Ted Dibble (2008)
Two-Moment Aerosol Microphysics (TOMAS) Development GEOS-CHEM User’s Meeting 4-6 April 2005 Funding: NSF / NASA Peter Adams Kaiping Chen Jeffrey Pierce.
Evaluation of Two Numerical Algorithms in Simulating Particle Condensational Growth and Gas/Particle Mass Transfer Yang Zhang and Christian Seigneur Atmospheric.
Meteorological Service of Canada Environment Canada The Global Cycling Of Size- distributed Sea-salt Particles And Their Influence On Sulphate Aerosols.
VII. How might current analysis methods be enhanced or combined to obtain more information about the nature of OC, EC, and other carbon fractions in filter.
Ultrafine Particles and Climate Change Peter J. Adams HDGC Seminar November 5, 2003.
Implementation of Sulfate and Sea-Salt Aerosol Microphysics in GEOS-Chem Hi everyone. My name is Win Trivitayanurak… I’m a PhD student working with Peter.
Chem. 250 – 10/7 Lecture Updated 10/30 Instructor: Roy Dixon My Website for Course:
Colette Heald Fangqun Yu Aerosol Processes Working Group.
Nucleation: Formation of Stable Condensed Phase Homogeneous – Homomolecular H 2 O (g)  H 2 O (l) Homogeneous – Heteromolecular nH 2 O (g) + mH 2 SO 4(g)
1 High Time-Resolution Size- Resolved Aerosol Predictions: Learning about CCN from Aerosol Field Campaigns Win Trivitayanurak GEOS-CHEM Meeting Harvard.
New Particle Formation in the Global Atmosphere Fangqun Yu Atmospheric Sciences Research Center, State University of New York at Albany Zifa Wang Institute.
Typically have a higher organic content than coarse particles Also contain soluble inorganics: NH 4 +, NO 3 -, SO 4 2- A bimodal peak is often observed.
Spectral microphysics in weather forecast models with special emphasis on cloud droplet nucleation Verena Grützun, Oswald Knoth, Martin Simmel, Ralf Wolke.
Implementing Online Marine Organic Aerosol Emissions into GEOS-Chem Implementing Online Marine Organic Aerosol Emissions into GEOS-Chem NASA Ames Research.
Modeling BC Sources and Sinks - research plan Charles Q. Jia and Sunling Gong University of Toronto and Environment 1 st annual NETCARE workshop.
Aerosol Working Group The 7 th International GEOS-Chem User’s Meeting May 4, 2015 Aerosol WG Co-Chairs Colette Heald: Jeff Pierce (outgoing):
Processes Controlling the Seasonal Cycle of Arctic Aerosol Number and Size B. Croft 1, J. R. Pierce 2, R. V. Martin 1,3, R. Leaitch 4, T. Breider 5, A.
Acknowledgments This research was supported by the DOE Atmospheric Radiation Measurements Program (ARM) and by the PNNL Directed Research and Development.
Source Signatures of Organic Compounds and Particle Growth in Bakersfield, CA Lars Ahlm 1, Shang Liu 1, Lynn M. Russell 1, Douglas A. Day 1,2, Robin Weber.
CCN measurements at an urban location Julia Burkart University of Vienna Istitute of Aerosol Physics, Biophysics and Environmental Physics.
Aerosol Microphysics: Plans for GEOS-CHEM
Proposal for a Research Infrastructure for Advanced Aerosol Observations and Capacity Building in China Alfred WIEDENSOHLER Leibniz Institute for Tropospheric.
School of something FACULTY OF OTHER 1 Lecture 2: Aerosol sources and sinks Ken Carslaw.
An Example of the use of Synthetic 3.9 µm GOES-12 Imagery for Two- Moment Microphysical Evaluation Lewis D. Grasso (1) Cooperative Institute for Research.
Improving Black Carbon (BC) Aging in GEOS-Chem Based on Aerosol Microphysics: Constraints from HIPPO Observations Cenlin He Advisers: Qinbin Li, Kuo-Nan.
Today’s lecture objectives: –Nucleation of Water Vapor Condensation (W&H 4.2) What besides water vapor do we need to make a cloud? Aren’t all clouds alike?
Characterizing CCN Spectra to Investigate the Warm Rain Process by Subhashree Mishra.
Progress on Application of Modal Aerosol Dynamics to CAM Xiaohong Liu, Steve Ghan, Richard Easter, Rahul Zaveri, Yun Qian (Pacific Northwest National.
Aerosols in WRF-CHEM Eric Stofferahn George Mason University _07:00:00 (UTC)
GEM/AQ Simulations on Intercontinental Transports Science and Technology Branch Environment Canada.
Linking Anthropogenic Aerosols, Urban Air Pollution and Tropospheric Chemistry to Climate ( actually, to CAM/CCSM ) Chien Wang Massachusetts Institute.
Aerosols: What are we missing? What should we do in the future? Peter J. Adams Carnegie Mellon University Chemistry-Climate Interactions Workshop February.
1 The roles of H 2 SO 4 and organic species in the growth of newly formed particles in the rural environment Wu Zhijun Leibniz-Institute for Tropospheric.
IACETH Institute for Atmospheric and Climate Sciences Indirect aerosol effects in EC earth Trude Storelvmo and Ulrike Lohmann, ETH-Zurich.
Aerosol Size-Dependent Impaction Scavenging in Warm, Mixed, and Ice Clouds in the ECHAM5-HAM GCM Betty Croft, and Randall V. Martin – Dalhousie University,
K.S Carslaw, L. A. Lee, C. L. Reddington, K. J. Pringle, A. Rap, P. M. Forster, G.W. Mann, D. V. Spracklen, M. T. Woodhouse, L. A. Regayre and J. R. Pierce.
APPLICATION OF KOHLER THEORY: MODELING CLOUD CONDENSATION NUCLEI ACTIVITY Gavin Cornwell, Katherine Nadler, Alex Nguyen, and Steven Schill.
IMPROVE Algorithm for Estimating Light Extinction Draft Recommendations to the IMPROVE Steering Committee.
An Interactive Aerosol-Climate Model based on CAM/CCSM: Progress and challenging issues Chien Wang and Dongchul Kim (MIT) Annica Ekman (U. Stockholm) Mary.
Effect of Solute Core Curvature on Solubility Luz Teresa Padró April 26, 2004.
Aerosol Size Distribution Performance Based on Changes to Particle Emissions and Nucleation Robert A. Elleman & David S. Covert Department of Atmospheric.
GEOS-CHEM Activities at NIA Hongyu Liu National Institute of Aerospace (NIA) at NASA LaRC June 2, 2003.
Modeling. How Do we Address Aerosol-Cloud Interactions? The Scale Problem Process Models ~ 10s km Mesoscale Models Cloud resolving Models Regional Models.
Understanding The Effect Of Anthropogenic Aerosol Weekly Cycles Upon The Climate Using A Global Model Of Aerosol Processes (GLOMAP) Introduction GLOMAP.
Ion-Induced Nucleation of Atmospheric Aerosols Peter H. McMurry, PI Kenjiro (Ken) Iida, Graduate Student Department of Mechanical Engineering University.
Chien Wang Massachusetts Institute of Technology A Close Look at the Aerosol-Cloud Interaction in Tropical Deep Convection.
PAPERSPECIFICS OF STUDYFINDINGS Kohler, 1936 (“The nucleus in and the growth of hygroscopic droplets”) Evaporate 2kg of hoar-frost and determined Cl content;
Development of cloud resolving model with microphysical bin model and parameterizations to predict the initial cloud droplet size distribution KUBA, Naomi.
Parameterization of cloud droplet formation and autoconversion in large-scale models Wei-Chun Hsieh Advisor: Athanasios Nenes 10,Nov 2006 EAS Graduate.
Aerosol 1 st indirect forcing in the coupled CAM-IMPACT model: effects from primary-emitted particulate sulfate and boundary layer nucleation Minghuai.
Global Simulation of Secondary Organic Carbon Aerosols Hong Liao California Institute of Technology GEOS-CHEM meeting, April 2005.
PALMS Single particle composition measurements for ATom Karl Froyd 1,2 and Dan Murphy 1 1. NOAA Earth Systems Research Laboratory 2. CIRES, University.
Aerosol Indirect Effects in CAM A. Gettelman (NCAR), F. Vitt (NCAR), P. Hess (Cornell) H. Morrison (NCAR), P. R. Field (Met Office), S.J. Ghan (PNNL)
Modal Aerosol Treatment in CAM: Evaluation and Indirect Effect X. Liu, S. J. Ghan, R. Easter (PNNL) J.-F. Lamarque, P. Hess, N. Mahowald, F. Vitt, H. Morrison,
1 Detailed Microphysical Model Simulations of Freezing Drizzle Formation Istvan Geresdi Roy Rasmussen University of Pecs, Hungary NCAR Research funded.
B. Croft1, R. V. Martin1,2, G. R. Wentworth3, W. R. Leaitch4, J. G
Jason Tomlinson, Run Jun Li, and Don Collins
Aerosol Physics & Climate
Impacts of Dust Mixing State on Cloud Microphysics
Latest Development on Modal Aerosol Formulation and Indirect Effects
Aerosol Optical Thickness
Presentation transcript:

Global Aerosol Microphysics With TOMAS Peter J. Adams Acknowledgments: Win Trivitayanurak GEOS-CHEM User’s Meeting April 7, 2009 Center for Atmospheric Particle Studies (CAPS)

Motivation: CCN and Indirect Effect Diameter Aerosol Number Distribution Indirect effect of aerosols on clouds depends on number concentration of cloud condensation nuclei (CCN) Activation = conversion of a CCN particle to a cloud droplet Kohler theory tells us that a CCN is a particle with enough solute to overcome surface tension CCN = number of particles larger than critical diameter = shaded area Critical diameter depends on: Aerosol composition (solubility) Cloud supersaturation →Need to predict size-resolved aerosol composition

TOMAS Algorithm TOMAS (TwO-Moment Aerosol Sectional microphysics algorithm) Microphysics: condensation, coagulation, nucleation Moments = 1) aerosol number and 2) aerosol mass 30 bins segregated by dry mass per particle Size range is about 10 nm – 10 μm DpDp Number Size Distribution N2 N3 N4 N5 N6 N7 N30 N1 … Mass Size Distribution DpDp … SO 4 2- NaCl … M2 M3 M4 M5 M6 M7 M30 M (  m)

GEOS-CHEM Implementation: Status TOMAS is fully implemented in GEOS-CHEM (v ) Size distribution 30 size sections; 10 nm to 10  m Species Sulfate Sea-salt (NaCl) Organic Carbon (OC): hydrophobic and hydrophillic Elemental Carbon (EC): externally mixed and internally mixed Mineral Dust Note this is 240 TOMAS-related tracers Processes Coagulation Condensational growth (H 2 SO 4 and SOA condensation) Cloud processing (in-cloud oxidation of SO 2 to sulfate) Nucleation: binary (Vehkamaki) and ternary (Napari); ion-induced (MODGIL) easily implemented Size-resolved deposition and primary emissions

cm -3 Sample model result dN/dlogDp (cm -3 ) Diameter (  m) cm -3 dM/dlogDp (  g m -3 ) Diameter (  m)

Regional nucleation events: ACE-Asia Ron Brown ship Gosan site Obs. BNUC TNUC Ternary nucleation… captures regional event too frequent Date ~400 km away ~600 km away Gosan Ron Brown Concentration (cm -3 )

Timing and Other Options TOMAS is fast enough to run in a 3D model: One month simulation on Intel Xeon (2.66 GHz, 4 GB RAM) TOMAS µ m1 µ m 0.1 µ m 0.01 µ m 5 bins 2 bins 5 bins 10 bins 5 bins TOMAS-15 TOMAS-12 Lumping size bins Std. GEOS- CHEM With TOMAS Tracers5412 hours Wall Clock3103 days Other size resolutions developed in GISS GCM:

Conclusions Fully functional TOMAS implemented in our version of GEOS-CHEM All major aerosol species Reasonable description of all microphysical processes 14 papers published or in development Ready to discuss implementation as an option in “standard” GEOS-CHEM TOMAS recommended for some problems Nucleation, number of ultrafine particles, CCN Inefficient for other problems where aerosol mass is sufficient Discussion items: Nucleation options SOA options Size bin options