Modeling. How Do we Address Aerosol-Cloud Interactions? The Scale Problem Process Models ~ 10s km Mesoscale Models Cloud resolving Models Regional Models.

Slides:



Advertisements
Similar presentations
Numerical Weather Prediction Parametrization of Diabatic Processes Cloud Parametrization 2: Cloud Cover Richard Forbes and Adrian Tompkins
Advertisements

Water in the Atmosphere
Aerosol-cloud interaction Anatoli Bogdan Institute of Physical Chemistry, University of Innsbruck Austria and Department of Physics, University of Helsinki.
Clouds and cloud microphysics Wojciech W. Grabowski National Center for Atmospheric Research, Boulder, Colorado, USA (on collaborative leave at CNRM, Toulouse,
Simulating cloud-microphysical processes in CRCM5 Ping Du, Éric Girard, Jean-Pierre Blanchet.
3. Droplet Growth by Condensation
Precipitation I. RECAP Moisture in the air (different types of humidity). Condensation and evaporation in the air (dew point). Stability of the atmosphere:
Cloud microphysics modeling: the state of the art Wojciech W. Grabowski Mesoscale and Microscale Meteorology Laboratory NCAR, Boulder, Colorado, USA.
Cloud Microphysics Dr. Corey Potvin, CIMMS/NSSL METR 5004 Lecture #1 Oct 1, 2013.
2. Formation of Cloud droplets
Copyright © 2010 R. R. Dickerson & Z.Q. Li 1 Example Observations 21 November 1354 EST T = 11.7°C Scattered altocumulus (Ac) at ~6 km 22 Nov EST.
Sensitivity of cloud droplet nucleation to kinetic effects and varying updraft velocity Ulrike Lohmann, Lisa Phinney and Yiran Peng Department of Physics.
Moist Processes ENVI1400: Lecture 7. ENVI 1400 : Meteorology and Forecasting2 Water in the Atmosphere Almost all the water in the atmosphere is contained.
Lecture 7 Water Vapor.
Global Aerosol Microphysics With TOMAS Peter J. Adams Acknowledgments: Win Trivitayanurak GEOS-CHEM User’s Meeting April 7, 2009 Center for Atmospheric.
1 Clouds Consider a clean atmosphere with water vapor in it. Dry Atmosphere Water Vapor Given a long enough time, some water vapor molecules will run in.
Clouds and Climate: Forced Changes to Clouds SOEE3410 Ken Carslaw Lecture 4 of a series of 5 on clouds and climate Properties and distribution of clouds.
Two-Moment Aerosol Microphysics (TOMAS) Development GEOS-CHEM User’s Meeting 4-6 April 2005 Funding: NSF / NASA Peter Adams Kaiping Chen Jeffrey Pierce.
Environmentally Conscious Design & Manufacturing (ME592) Date: March 29, 2000 Slide:1 Environmentally Conscious Design & Manufacturing Class 11: Air Quality.
Interfacial transport So far, we have considered size and motion of particles In above, did not consider formation of particles or transport of matter.
A Lagrangian approach to droplet condensation in turbulent clouds Rutger IJzermans, Michael W. Reeks School of Mechanical & Systems Engineering Newcastle.
ENVI3410 : Lecture 8 Ken Carslaw
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology The Effect of Turbulence on Cloud Microstructure,
METR215- Cloud Droplet Formation
ARM Atmospheric Radiation Measurement Program. 2 Improve the performance of general circulation models (GCMs) used for climate research and prediction.
Aerosols and climate Rob Wood, Atmospheric Sciences.
Using satellite-bourne instruments to diagnose the indirect effect A review of the capabilities and previous studies.
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.
Cloud Microphysics SOEE3410 : Lecture 4 Ken Carslaw Lecture 2 of a series of 5 on clouds and climate Properties and distribution of clouds Cloud microphysics.
Spectral microphysics in weather forecast models with special emphasis on cloud droplet nucleation Verena Grützun, Oswald Knoth, Martin Simmel, Ralf Wolke.
Clouds and Climate: Forced Changes to Clouds SOEE3410 Ken Carslaw Lecture 4 of a series of 5 on clouds and climate Properties and distribution of clouds.
Lecture 11 Cloud Microphysics Wallace and Hobbs – Ch. 6
Part 2. Water in the Atmosphere Chapter 5. Atmospheric Moisture.
Water in the Atmosphere Water vapor in the air Saturation and nucleation of droplets Moist Adiabatic Lapse Rate Conditional Instability Cloud formation.
Concept of Humidity Humidity (absolute humidity) The amount of water vapour in the air (Holding) Capacity of air The maximum amount of water vapour in.
CCN measurements at an urban location Julia Burkart University of Vienna Istitute of Aerosol Physics, Biophysics and Environmental Physics.
GEF2200 Stordal - based on Durkee 10/11/2015 Relative sizes of cloud droplets and raindrops; r is the radius in micrometers, n the number per liter of.
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?
Stephan F.J. De Wekker S. Aulenbach, B. Sacks, D. Schimel, B. Stephens, National Center for Atmospheric Research, Boulder CO; T. Vukicevic,
Institute of Atmospheric Sciences South Dakota School of Mines and Technology A Cloud Physics Facility for DUSEL John Helsdon South Dakota School of Mines.
Fog Progression Presented by: Meshari Al-Hasan Supervised by: Prof. M. Fahim.
Lab 6: Saturation & Atmospheric Stability
Chapter 8: Precipitation ATS 572. “Precipitation” Can be: 1.Rain 2.Snow 3.Hail 4.Etc. However, it MUST reach the ground. –Otherwise, it is called “virga”—hydrometeors.
Today’s lecture objectives: 1. Nucleation of water vapor condensation 2. Growth of droplets in warm clouds 3. Growth of droplets in cold clouds ATOC 4720.
Aerosol-cloud-climate interactions: modeling and observations at the cloud scale Graham Feingold NOAA Earth System Research Laboratory Boulder, Colorado.
Moist Processes SOEE1400: Lecture 11. SOEE1400 : Meteorology and Forecasting2 Water in the Atmosphere Almost all the water in the atmosphere is contained.
Cloud Microphysics Liz Page NWS/COMET Hydromet February 2000.
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.
Chapters 5 and 6 Cloud and Aerosol Physics
Effect of Solute Core Curvature on Solubility Luz Teresa Padró April 26, 2004.
Formation of cloud droplets from supersaturated vapor
Atmospheric Chemistry Chemical effects on cloud activation with special emphasis on carbonaceous aerosol from biomass burning M. C. Facchini, S. Decesari,
Towards parameterization of cloud drop size distribution for large scale models Wei-Chun Hsieh Athanasios Nenes Image source: NCAR.
NUMERICAL SIMULATION CLOUDS AND PRECIPITATION CAUSED CATASTROPHIC FLOODS ALONG THE ELBE RIVER IN AUGUST 2002 Krakovskaia S.V., Palamarchuk L.V. and Shpyg.
Chien Wang Massachusetts Institute of Technology A Close Look at the Aerosol-Cloud Interaction in Tropical Deep Convection.
Modeling the dynamic behavior of Cloud Condensation Nuclei: case study comparing clean (LBA/CLAIRE 2001) and polluted (LBA/SMOCC 2002) air conditions in.
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.
Wicked Weather WHAT YOU LEARN How we measure humidity. How fog, frost, and dew form. Why and how clouds form. Adiabatic Cooling and Warming. How clouds.
Moisture  There are several methods of expressing the moisture content (water in vapor form) of a volume of air.  Vapor Pressure: The partial pressure.
1 Detailed Microphysical Model Simulations of Freezing Drizzle Formation Istvan Geresdi Roy Rasmussen University of Pecs, Hungary NCAR Research funded.
H. Morrison, A. Gettelman (NCAR) , S. Ghan (PNL)
Aerosol Physics & Climate
Condensational Growth
Introduction to Experiment 4: Clouds
Formation of Cloud Droplets
Precipitation I.
Cloud Droplet Growth By Condensation
Water in the Atmosphere
HOW DO CLOUDS FORM?.
Presentation transcript:

Modeling

How Do we Address Aerosol-Cloud Interactions? The Scale Problem Process Models ~ 10s km Mesoscale Models Cloud resolving Models Regional Models 10s km – 1000s km Large Eddy Simulations; microphysical models; Aerosol  cloud interactions Aerosol transport and its effect on clouds Forcing on regional and global scale Predictive GCM Regional/Global scale 0 10 km PM2.5

The Scope of the Aerosol  Cloud Problem Involves complexity in both aerosol and clouds Range of spatial scales –Aerosol particles 10s – 1000s nanometres –Cloud drops/ice particles:  m – cm –Cloud scales: ~ 10 2 m – 10 3 km Range of temporal scales –Activation process: seconds –Time to generate precipitation ~ 30 min –Cloud systems: days

Myriad Coupled Processes

Tools for modeling aerosol-cloud interactions Eulerian (fixed) grid Lagrangian (moving) grid Drop size Bin size distribution Number per bin Fixed size grid Discrete point distribution Drop size Number Irregular size grid

Eulerian Models 3-D modeling at the Cloud Scale (Large Eddy Simulations) Solve Navier-Stokes equations Large Eddy Simulations –Grid size ~ 50 – 100m –Time step ~ 2 s –Domain ~ 10 km x 10 km Bin Microphysics –Moment conserving (two moments in each bin; Tel Aviv University) OR Bulk microphysics (mass only or mass + number) Radiation Land Surface Model Aqueous Chemistry etc…….

Lagrangian Models Parcel Model Predetermined trajectory –adiabatic or other Details of aerosol activation and growth Moving grid microphysics Aqueous Chemistry –Cloud processing –Inorganic (sulfate) –Organic

r – radius w - updraft T – temperature P – pressure  – mass accommodation S - Supersaturation Droplet Growth in an Updraft Kelvin term (sfc tension effects) Solute term (composition effects) Growth by condensation

r – radius w - updraft T – temperature P – pressure  – mass accommodation S - Supersaturation Droplet Growth in an Updraft Kelvin term (sfc tension effects) Solute term (composition effects) Growth by condensation Source of supersaturation (updraft) No condensation S Ht

r – radius w - updraft T – temperature P – pressure  – mass accommodation S - Supersaturation LWC – liquid water content Droplet Growth in an Updraft Kelvin term (sfc tension effects) Solute term (composition effects) Solve coupled equations including - thermodynamic equations - mass conservation Growth by condensation Source of supersaturation (updraft) Sink of supersaturation (condensation) Supersaturation equation: Updraft + condensation S Ht

10 m Cloud base Level of S max Unactivated particles Activated drops Solute term dominates Kelvin term dominates Saturation ratio, S Expansion of condensation term

Differences in N d much larger at low w Effect of surface tension is relatively since particles become dilute Molecular weight M s (if very high) has most influence on N d Competing effects of M s and surface tension Effect of composition on N d  = f(c) M s = 500 g mol -1 (NH 4 ) 2 SO 4 M s = 500 g mol -1,  = f(c) w = m s -1 w = 3 m s -1 Drop number concentration Time, s NdNd Sfc tension = f(carbon conc)

Sensitivity of N d to size, composition and updraft 70,000 runs of adiabatic parcel model N a > 1000 cm -3 N a < 1000 cm -3 Aerosol Size distr. parameters updraft Soluble mass fraction  w gg rgrg NaNa PollutedCleanAllXiXi S i = d ln N d / d ln X i Most sensitive to aerosol number, N a Least sensitive to composition,  Size is important ( r g,  g ) Updraft important in polluted conditions

CCN and N d closure seem to require  = ~ 0.05 (e.g., van Reken, Conant, Nenes)  = mass accommodation When might composition matter? External mixtures of aerosol, some hygroscopic, some hydrophobic Film forming compounds that affect mass accommodation

Composition is Important for “Direct Effect” Low RHHigh RH Atmospheric particles swell as they take up water As particles grow they scatter more sunlight Growth factor Relative humidity 30%85% 1 10 Below cloud remote sensing Controlled RH sampling 99%0% Aerosol type determines amount of growth Aerosol type (and growth) varies by location Oklahoma J. Ogren and colleagues

Modeling Exercise

Lagrangian Parcel Model Captures details of aerosol growth, activation, and condensation Moving grid microphysics Adiabatic (no mixing with environment) Most accurate growth calculations Discrete point distribution Aerosol/Drop size Number Irregular size grid Progressively larger water content Continuum: particle-haze-drop Rising air parcel updraft w

r i – radius of size class i r v – vapor mixing ratio LWC – liquid water content w - updraft T – temperature P – pressure Q 1,2 – f(T,P)  – mass accommodation Equations Kelvin term (sfc tension effects) Solute term (composition effects) Solve coupled equations 1. Growth by condensation Source (updraft)Sink (condensation) 2. Supersaturation Equation 3. Mass conservation 4. Other ;

10 m Cloud base Height of S max Unactivated particles Activated drops Solute term dominates Kelvin term dominates Saturation ratio, S Multiple size classes ~ separation between haze and drops

Drop size Number xx Drop conc, cm -3 Effective radius,  m Dispersion LWC, gm -3 HeightHeight Cloud Base: Temp Pressure Updraft: 1.0 ms-1 Aerosol: M 1.0x Lifting: m Model Output More Soluble (5 types of nuclei) Nuclei diameters supersaturation size classes “doublet” Identifies original size 10 m RH% or Height above cloud base: 100 m