Campaign : Marine ARM GPCI Investigation of Clouds (MAGIC)
2012.10.01 - 2013.09.30
Website : http://www.arm.gov/sites/amf/mag/
Lead Scientist : Ernie Lewis
For data sets, see below.
Clouds remain a major source of uncertainty in climate projections. In this context, subtropical marine boundary layer (MBL) clouds play a key role in cloud-climate feedbacks that are not well understood yet play a large role in biases both in seasonal coupled model forecasts and annual mean climate forecasts. In particular, current climate models do not accurately represent the transition from the stratocumulus (Sc) regime, with its high albedo and large impact on the global radiative balance of Earth, to shallow trade-wind cumulus (Cu), which play a fundamental role in global surface evaporation and also albedo. Climate models do not yet adequately parameterize the small-scale physical processes associated with turbulence, convection, and radiation in these clouds. Part of this inability results from lack of accurate data on these clouds and the conditions responsible for their properties, including aerosol properties, radiation, and atmospheric and oceanographic conditions.
In MAGIC, the Marine ARM (Atmospheric Radiation Measurement) GPCI Investigation of Clouds, the Second ARM Mobile Facility, AMF2, will be deployed on the Horizon Lines cargo ship Spirit traversing the route between Los Angeles, CA and Honolulu, HI for one full year, from October, 2012, through September, 2013, during which the unique capabilities provided by AMF2 will be utilized to observe and characterize the properties of clouds and precipitation, aerosols, and atmospheric radiation; standard meteorological and oceanographic variables; and atmospheric structure. Additionally, two Intensive Observational Periods (IOPs) will be conducted January and July of 2013 during which more detailed measurements of the atmospheric structure will be made.
This first marine deployment of AMF2 will yield an unparalleled and extremely rich data set that will greatly enhance the ability to understand and parameterize clouds and precipitation, aerosols, and radiation and the interactions among them; the processes that determine their properties; and factors that control these processes. Deployment of AMF2 on a ship that routinely traverses this route provides an opportunity to collect a long-term data set over a vast cloud region which is of intense interest to climate modelers. Specifically, the proposed transect lies closely along the cross section used for the GPCI, and the data collected will provide constraint, validation, and support for this modeling effort, and for associated modeling efforts such as the CGILS and EUCLIPSE. The founders of ARM recognized the importance of these marine cloud regimes and the original document recommending locales for ARM sites explicitly called for sites in the Eastern North Pacific or Eastern North Atlantic Ocean. The proposed deployment would, at long last, meet the identified requirement for ARM measurements in this region.
Routine Operations Data Sets
|AOS||Aerosol Observing System|
|AOSMET||Meteorological Measurements associated with the Aerosol Observing System|
|ASSIST||Atmospheric Sounder Spectrometer for Infrared Spectral Technology|
|CCN||Cloud Condensation Nuclei Particle Counter|
|CPC||Condensation Particle Counter|
|HSRL||High Spectral Resolution Lidar|
|HTDMA||Humidified Tandem Differential Mobility Analyzer|
|KAZR||Ka ARM Zenith Radar|
|MET||Surface Meteorological Instrumentation|
|MWACR||Marine W-Band (95 GHz) ARM Cloud Radar|
|MWR3C||Microwave Radiometer, 3 Channel|
|PRP||Portable Radiation Package|
|PSAP||Particle Soot Absorption Photometer|
|RWP||Radar Wind Profiler|
|SASZE||Shortwave Array Spectroradiometer-Zenith|
|SONDE||Balloon-Borne Sounding System|
|TSI||Total Sky Imager|
|UHSAS||Ultra-High Sensitivity Aerosol Spectrometer|