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ARISE 2014 C-130 In-Situ Cloud Data

ARISE_Cloud_AircraftInSitu_C130_Data_1 is the Arctic Radiation - IceBridge Sea & Ice Experiment (ARISE) 2014 in-situ cloud data product. This product is a result of a joint effort of the Radiation Sciences, Cryospheric Sciences and Airborne Sciences programs of the Earth Science Division in NASA's Science Mission Directorate in Washington. Data were collected via two cloud probes, the cloud droplet probe (CDP) and WCM-200 Multi-Element Water Content System. Data collection is complete. ARISE was NASA's first Arctic airborne campaign designed to take simultaneous measurements of ice, clouds and the levels of incoming and outgoing radiation, the balance of which determined the degree of climate warming. Over the past few decades, an increase in global temperatures led to decreased Arctic summer sea ice. Typically, Arctic sea ice reflects sunlight from the Earth. However, a loss of sea ice means there is more open water to absorb heat from the sun, enhancing warming in the region. More open water can also cause the release of more moisture to the atmosphere. This additional moisture could affect cloud formation and the exchange of heat from Earth’s surface to space. Conducted during the peak of summer ice melt (August 28, 2014-October 1, 2014), ARISE was designed to study and collect data on thinning sea ice, measure cloud and atmospheric properties in the Arctic, and to address questions about the relationship between retreating sea ice and the Arctic climate. During the campaign, NASA’s C-130 aircraft conducted measurements of spectral and broadband radiative flux profiles, quantified surface characteristics, cloud properties, and atmospheric state parameters under a variety of Arctic atmospheric and surface conditions (open water, sea ice, and land ice). When possible, C-130 flights were coordinated to fly under satellite overpasses. The primary focus of ARISE was over Arctic sea ice and open water, with minor coverage over Greenland land ice. The ARISE field campaign helped improve cloud and sea ice computer modeling in the Arctic.

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