NRL Monterey Aerosol Group Members and Expertise

Anthony Bucholtz Radiative measurements, tactical decision aids

James R. Campbell Cloud and aerosol Lidar Cynthia A. Curtis Products, distribution, transitionsEdward J. Hyer Satellite data quality, biomass burningElizabeth A. Reid Field deployments, data analysisJeffrey S. Reid Aerosol microphysics, radiation and observabilityAnnette L. Walker Global dust sources, operatorsDouglas L. Westphal Global and regional aerosol modeling

James CampbellNaval Research Laboratory

Monterey, CA

23 April 2014

Collaborative Possibilities for CalWater2

Coastal Facility for Atmospheric Research (CFAR)

NREL site

Purpose:• Operational testing of NRL-MRY's atmospheric

instrument suites prior to deployment.• Long-term measurements in a coastal marine

environment for model validation.• Reference 'standards' for validation and

calibration of field instruments.

CFAR Rooftop Observation Deck

‘First Light’ on 29Dec2013

- MPLNet Lidar - Time-height distribution of:

- aerosols and clouds- aerosol optical depth

(estimate)- 523 nm eye-safe lidar; night and day- Polarization-sensitive (pending)

- AERONET Sun Photometer- Aerosol Optical Depth: 340, 380, 440,

500, 675, 870, 940, and 1020 nm- High daytime temporal resolution- Potentially multiple instruments

- Solar/IR/UV Radiometers- Total, Direct, Diffuse Solar Radiation

at surface- Downwelling IR irradiance at surface- Downwelling UV at surface

- Ceilometer- Cloud base heights

Coastal Facility for Atmospheric Research (CFAR) Instrumentation

- Weather Stations, IR Hygrometer/CO2, and Visiometer

- Surface met conditions- Lateral Visibility

- Gas Monitors (Ozone and SO2) - Mass concentrations

- Aerosol particle sizing- Aerosol size distribution and

concentration at surface- Aerosol Particle Samplers

- Mass concentrations and physical properties

- Aerosol Particle Scattering and Absorption

All instrumentation is deployable

CFAR Lidar Profiling of Asian Dust

Instrument will become polarization-sensitive in FY15Still, without depolarization, dust scattering is very distinct in lidar measurements

Aerosol/Cloud Airborne Measurement Capability

CIRPAS Twin Otter

Utilization of CIRPAS Aircraft* Run by NPS in partnership with Cal Tech* Full complement of instrumentation to

support atmospheric and oceanographic research:

- Met: T, P, RH, dropsondes - Cloud/Aerosol: size, concentration,

composition - Radiation (in development): up and

downwelling solar/IR flux, AOD• Eliminates one of the biggest sources

of error and the most time-consuming data reduction step in airborne radiometer measurements

• Platform level to within +/- 0.02 deg

Development of Stabilized Platform/Radiometer Package

Navy Aerosol Analysis and Prediction System (NAAPS)

The U.S. Navy Aerosol Analysis and Prediction System (NAAPS) is an operational global aerosol transport model used to forecast visibility

conditions for fleet operations and motivate basic research.

6-day forecasts every 6 hours of global sulfate, SO2, dust, smoke and sea-salt mass concentrations.

Grid: .33°x.33° degree; 25 sigma levels to 100 mb

http://www.nrlmry.navy.mil/aerosol

NAAPS Support and Source Product Development

FLAMBÉ: Global Fire Emissions in Near Real Time• Active Fire detections from NASA/Geostationary Satellites

• 4,000/day from MODIS-Terra• 8,000/day from MODIS-Aqua

• Hourly estimates of carbon, trace gas, and particulate emissions• Reid, J. S. et al.: Global Monitoring and Forecasting of Biomass-Burning Smoke:

Description of and Lessons from the Fire Locating and Modeling of Burning Emissions (FLAMBE) Program, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2, 144-162, 2009.

• Hyer, E. J., and Chew, B. N.: Aerosol transport model evaluation of an extreme smoke episode in Southeast Asia, Atmos. Environ., 44, 1422-1427, 2010.

NRL Monterey Dust Source Database

• Using Machine Learning to identify active global dust sources at 1 km2 resolution

• Combined MODIS and multi-spectral geostationary algorithms used to identify active dust regions

• Walker, A. L., M. Liu, S. D. Miller, K. A. Richardson, and D. L. Westphal (2009), Development of a dust source database for mesoscale forecasting in southwest Asia, J. Geophys. Res., 114, D18207, doi:10.1029/2008JD011541.

International Cooperative for Aerosol Prediction:Formalizing the Aerosol Prediction Community

• After an initial 2010 Monterey meeting, aerosol forecast system developers meet annually under the ICAP umbrella.

• Developers do not officially speak for their lab or make commitments, but rather gather discuss problems and best practices.

• ICAP allows developers to speak as a community and make scientific recommendations.

• “Ticket to Ride” is a global aerosol model running at least quasi operationally or a global satellite data provider.

• Current model members: BSC, ECMWF, JMA, NASA GMAO, NOAA NCEP, NRL, UKMO

• ICAP has made significant headway in convincing international agencies to expend resources on aerosol forecasting problems.

EUMETSAT