Robert Wood, University of Washington many contributors

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Robert Wood, University of Washington many contributors VOCALS Regional Experiment VOCALS Regional Experiment (REx) (REx) Goals and Hypotheses Goals and Hypotheses

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VOCALS Regional Experiment (REx) Goals and Hypotheses. Robert Wood, University of Washington many contributors. THE VOCALS STRATEGY. VOCALS Regional Experiment (REx). Joint NOAA/NSF funded field program in October/November 2008. Additional support from ONR and DoE and international agencies - PowerPoint PPT Presentation

Transcript of Robert Wood, University of Washington many contributors

Page 1: Robert Wood, University of Washington many contributors

Robert Wood, University of Washingtonmany contributors

VOCALS Regional Experiment VOCALS Regional Experiment (REx)(REx)

Goals and HypothesesGoals and Hypotheses

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THE VOCALS

STRATEGY

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VOCALS Regional Experiment (REx)

• Joint NOAA/NSF funded field program in October/November 2008. Additional support from ONR and DoE and international agencies

• REx will provide observations of poorly understood aspects of the SEP climate system

• Main platforms: NSF C-130, NOAA Ronald H Brown, CIRPAS and Chilean Twin Otter, DoE G-1, FAAM BAe-146, NERC Dornier 228, Chilean land sites, Peruvian ship

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•Cold SSTs, coastal upwelling, subsidence

•Cloud-topped MBLs•Influenced by and

influential on remote climates (ENSO)

•Unresolved issues in heat and nutrient budgets

•Important links between clouds and aerosol

•Poorly simulated by atmosphere-ocean GCMs

The Southeast Pacific Climate

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VOCALS-REx Platforms and SamplingOct-Nov 2008

Aircraft:NSF C-130CIRPAS Twin

OtterDoE G-1UK BAe-146UK Dornier 228Ships:NOAA Ronald

H BrownPeru - Jose

OlayaLand sites

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The aircraftCIRPAS Twin OtterDoE ASP G-1

NERC Dornier 228

NSF C-130

UK FAAM BAe-146

Radar remote sensing,

microphysics,turbulence

Aerosols, cloud microphysics,

radiative measurementsRemote sensing

and cloud imaging

Chemistry and aerosols, cloud microphysics,

turbulence

Chemistry and aerosols, cloud microphysics, turbulence,

radar/lidar remote sensing

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Meteorological contextSST

(Reynolds)

Surface winds

(Quikscat)

Sep-Nov climatology H

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MBL depth

Open cell frequenc

y

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Novel MBL depth estimates

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E-W transect 20oS

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VOCALS-REx Science Goals

1. AEROSOL-CLOUD-DRIZZLE GOALSFactors controlling the stratocumulus cloud thickness, cover, and optical properties over

the SE Pacific

2. COUPLED OCEAN-ATMOSPHERE-LAND GOALS

Physical and chemical links between the topography, coastal oceanic upwelling and the

marine boundary layer

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AEROSOL-CLOUD-PRECIPITATION HYPOTHESES

# Hypothesis

1AVariability in the physicochemical properties of aerosols has a measurable impact upon the formation of drizzle in stratocumulus clouds over the SEP.

1BPrecipitation is a necessary condition for the formation and maintenance of pockets of open cells (POCs) within stratocumulus clouds.

1C

The small effective radii measured from space over the SEP are primarily controlled by anthropogenic, rather than natural, aerosol production, and entrainment of polluted air from the lower free-troposphere is an important source of cloud condensation nuclei.

1DDepletion of aerosols by coalescence scavenging is necessary for the maintenance of POCs.

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Combined NOAA Ronald H Brown and NSF C-130

Missions

- direct evaluation of GCM lower tropospheric structure

VOCALS-REx Cross-Section Sampling

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Ship Radar

Low albedo

High albedo

Open Cells Closed CellsSatellite

Strong drizzle Weak drizzle

100 km

• Cloud albedostrongly dependent upon open/closed cells

• Strong precipitation associated with open cell structure

• In-situ aircraft measurements of the mesoscale dynamics needed

Sandra Yuter, NCSU

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Drizzle is important over the SEP

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MODIS Cloud Droplet Concentration

(SON 2001-2004)

CloudMicrophysicalVariability Smelter locations

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200 km

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POC formation

Kim Comstock

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Aerosol, cloud, drizzle and POCs

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Flight-plan for C-130 POC-Drift missions

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Specific research for POST

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Determination of entrainment rate

reanalysisreanalysissatellite

J. Climate (2004)

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Questions

• Use variety of methods to estimate cloud top height from satellite (MODIS/GOES, COSMIC, CALIPSO)

• Compare with in-situ data (POST/VOCALS)

• Assessment of entrainment rate (time/space variability) using Wood and Bretherton method applied to shorter (how short?) timescales

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