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Insights to ARM Facility Activities at 2015 AGU Fall Meeting
At the 2015 American Geophysical Union Fall Meeting in San Francisco, December 14-18, nearly 24,000 scientists from around the world are gathering to share their latest research results in all areas of Earth science. Find out how researchers are using data from U.S. Department of Energy’s Atmospheric Radiation Measurement (ARM) Climate Research Facility—the world’s most…
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Aerial Observation Needs Workshop Report Available
Manned and unmanned aerial systems (UASs) are essential to studying and modeling atmospheric and terrestrial processes in difficult to reach environments, such as the Arctic. Experts in the atmospheric and terrestrial sciences, airborne observations, and modeling participated in a workshop in May 2015 to assess current and future aerial observation needs. The workshop was hosted…
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From the Mountains to the Prairies to the Oceans White with Foam
The U.S. Department of Energy has selected five field campaigns to take place from April 2016 through April 2019 reaching from the Argentine mountains to the Southern Ocean near Antarctica. These efforts will provide insight into the impact of land and oceans on climate.
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Facility Proposal Call Deferred in FY2016
Due to ongoing and planned field campaigns, there will not be a call for proposals for ARM Mobile Facility and Aerial Facility deployments in fiscal year 2016 (FY2016). More information on the next call for large facility proposals and submission deadlines will be shared in summer of 2016. As always, smaller field campaigns will continue…
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Py-ART 1.5.0 Now Available
The Python ARM Radar Toolkit (Py-ART) development team has released version 1.5.0. as an open-source Python module for reading, visualizing, correcting, and analyzing weather radar data. Version 1.5.0 includes several improvements over past releases including: More ingests for ARM and non-ARM formats including Ka-band ARM Zenith Radar files. Installers that work with the Windows operating…
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SACRCOR VAP Released to Evaluation
The ARM Facility is pleased to announce the release of Scanning ARM Cloud Radar (SACR) Corrected Moments (SACRCOR) to evaluation. SACRCOR, developed by the Clouds Research Group at McGill University and modified and implemented by the ARM Facility, provides best-estimate moments from the ARM scanning cloud radars. First-order corrections include: Accurate separation of the range–height…
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New Ship Navigation Corrections for MAGIC and ACAPEX
A new suite of evaluation value-added products (VAPs) is now available for the second ARM Mobile Facility (AMF2) to provide accurate ship location and orientation during ocean deployments and to correct for ship motion. The AMF2 is designed to support ocean-based deployments and, to date, two deployments have been completed: Marine ARM GPCI Investigation of…
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New ARM Cloud ARSCL Evaluation VAPs Available
New value-added products (VAPs) have been developed to provide best-estimate radar moments and cloud locations for the Ka-band ARM Zenith Radars (KAZRs). The KAZR Active Remote Sensing of Clouds (KAZRARSCL) VAP and KAZR Correction (KAZRCOR) VAP together are succeeding the retired ARSCL VAP. Evaluation data from the two new VAPs are being provided for review by…
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Areal Average Albedo VAP Evaluation Data Now Available
A new value-added product (VAP) estimating the surface albedo at Multifilter Rotating Shadowband Radiometer (MFRSR) spectral wavelengths is now available from the Southern Great Plains (SGP). The Areal Average Albedo (AREALAVEALB) VAP data set is unique in that it gives an estimate of the average albedo for the relevant area around a site. Traditionally albedo…
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Large-Scale Forcing Data for GoAmazon Now Available for Second IOP
Taken during the dry season in September and October in 2014, constrained variational analysis of large-scale forcing data for the second intensive operational period (IOP) of the Green Ocean Amazon (GoAmazon2014/15) field campaign are now available. Combining U.S. and Brazilian agencies and institutions and other international collaborators, this two-year GoAmazon field campaign is yielding data…