Campaign : Indirect and Semi-Direct Aerosol Campaign (ISDAC)
2008.04.01 - 2008.04.30
Website : http://www.arm.gov/campaigns/isdac/
Lead Scientist : Steven Ghan
For data sets, see below.
An intensive cloud and aerosol observing system was deployed to the ARM Climate Research Facility’s (ACRF) North Slope of Alaska (NSA) locale for three weeks in April 2008. This period was chosen because it was during the International Polar Year when many ancillary observing systems were collecting data that would be synergistic for interpreting the Indirect and Semi-Direct Aerosol Campaign (ISDAC) data. It also provided an important contrast with the October 2004 Mixed-Phase Arctic Cloud Experiment (M-PACE). Thirty to 45 hours of flight time was required with aircraft capable of measuring temperature, humidity, total particle number, aerosol size distribution, aerosol hygroscopicity, cloud condensation nuclei concentration, ice nuclei concentration, optical scattering and absorption, updraft velocity, cloud liquid water and ice contents, cloud droplet and crystal size distributions, cloud particle shape, and cloud extinction. In addition to these aircraft measurements, there was a surface deployment of a spectroradiometer for retrieving cloud optical depth and effective radius.
These measurements will be used by members of the ARM Science Team to answer the
following key questions:
1. How do properties of the arctic aerosol during April differ from those measured during the MPACE in October?
2. To what extent do the different properties of the arctic aerosol during April produce differences in the microphysical and macrophysical properties of clouds and the surface energy balance?
3. To what extent can cloud models and the cloud parameterizations used in climate models simulate the sensitivity of arctic clouds and the surface energy budget to the differences in aerosol between April and October?
4. How well can long-term surface-based measurements at the ACRF NSA locale provide retrievals of aerosol, cloud, precipitation, and radiative heating in the Arctic?
By using many of the same instruments used during M-PACE, we were able to contrast the arctic aerosol and cloud properties during October and April. The aerosol measurements can be used in cloud models driven by objectively analyzed boundary conditions to test whether the cloud models can simulate the aerosol influence on the clouds. The influence of aerosol and boundary conditions on the simulated clouds can be separated by running the cloud models with all four combinations of M-PACE and ISDAC aerosol and boundary conditions: M-PACE aerosol and boundary conditions, M-PACE aerosol and ISDAC boundary conditions, ISDAC aerosol and M-PACE boundary conditions, and ISDAC aerosol and boundary conditions. ISDAC and M-PACE boundary conditions were likely to be very different because of the much more extensive ocean water during M-PACE. The uniformity of the surface conditions during ISDAC greatly simplifies the objective analysis (surface fluxes and precipitation are very weak), so that it can largely rely on the European Centre for Medium-Range Weather Forecasts analysis.
The ISDAC cloud measurements can be used to evaluate the cloud simulations and to evaluate cloud retrievals. The aerosol measurements can also be used to evaluate the aerosol retrievals. By running the cloud models with and without solar absorption by the aerosols, we can determine the semi-direct effect of the aerosol on the clouds.
Campaign Data Sets
|IOP Participant||Data Source Description||Final Data|
|Lawson||Cloud Particle Imager (CPI)||Order Data|
|Lawson||2D-S Particle Size||Order Data|
|Xie||European Centre for Medium Range Weather Forecasting||Order Data|
|Macdonald||Counterflow Virtual Impactor (CVI)||Order Data|
|Laskin||Cloud Condensation Nuclei Counter||Order Data|
|Strapp||EC Cloud Imaging Probe||Order Data|
|Strapp||FSSP 100||Order Data|
|Strapp||FSSP 300||Order Data|
|Strapp||Passive Cavity Aerosol Spectrometer||Order Data|
|Strapp||Ultra-High Sensitivity Aerosol Spectrometer and Condensation Particle Counter||Order Data|
|Strapp||Convair 580 State Parameters||Order Data|
|McFarquhar||Cloud Aerosol Precip Spectrometer||Order Data|
|McFarquhar||Cloud Droplet Probe||Order Data|
|Brooks||Continuous Flow Thermal Diffusion Chamber||Order Data|
|Wolde||CONVAIR Cabin||Order Data|
|Wolde||NAWX Radar||Order Data|
|Korolev||Korolev Cloud Extinction Probe||Order Data|
|Strapp||2D Probes||Order Data|
|Strapp||DOE Cloud Imaging Probe||Order Data|
|Xie||Constrained Variational Objective Analysis Data||Order Data|
|Dubey||Photoacoustic Soot Spectrometer||Order Data|
|Ogren||Particle Soot Absorption Photometer||Order Data|
|Zelenyuk||Single Particle Laser Ablasion Time||Order Data|
|McFarquhar||Microphysical Cloud Properties||Order Data|
Additional Data Sets
|IOP Participant||Data Source Description||Final Data|
|Ferrare||HSR Lidar||Order Data|
|Collins||Tandem Differential Mobility Analyzer||Order Data|
|Gultepe||Young Ultrasonic Anemometer||Order Data|
|Gultepe||Climatronics Aerosol Profiler||Order Data|
|Gultepe||Campbell Scientific Data Logger||Order Data|
|Gultepe||Ott Laser Optical Disdrometer||Order Data|
|Gultepe||Road Surface State Sensor||Order Data|
|Gultepe||Vaisala Weather Sensor||Order Data|
|Gultepe||Fog Monitoring Device||Order Data|
|Gultepe||Sentry Visibility Sensor||Order Data|
|Gultepe||Sunshine Pyranometer||Order Data|
|Gultepe||Snow Depth||Order Data|
|Gultepe||Total Precipitation Sensor||Order Data|
|Gultepe||Vaisala Precipitation Gauge||Order Data|
|Lubin||ASD Spectroradiometer||Order Data|