Profiling at Oliktok Point to Enhance Year of Polar Prediction Experiments (POPEYE) Science Plan
The arctic region is rapidly evolving, and enhanced predictive capabilities, for both weather and climate, are urgently required. Therefore, the international community has formulated plans for the execution of an extended period of focused observations and modeling of the arctic environment, dubbed...
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2024
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| Online Access: | http://www.osti.gov/servlets/purl/1439593 https://www.osti.gov/biblio/1439593 https://doi.org/10.2172/1439593 |
| Summary: | The arctic region is rapidly evolving, and enhanced predictive capabilities, for both weather and climate, are urgently required. Therefore, the international community has formulated plans for the execution of an extended period of focused observations and modeling of the arctic environment, dubbed the “Year of Polar Prediction” or YOPP. The YOPP will feature “special observing periods” (SOPs), with the first occurring in the spring of 2018, and a second during the late summer and early fall. This project deploys additional U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) facility resources to Oliktok Point, Alaska during the second three-month special observing period (1 July 2018-30 September 2018). These resources include additional radiosondes (1 more per day), ARM-operated unmanned aircraft (DH2) and ARM-operated tethered balloon systems (TBS). These instruments will conduct routine profiling activities over the course of the SOP to obtain measurements of atmospheric thermodynamic structure, cloud and precipitation properties, and aerosol properties, enhancing the measurements obtained from the third ARM Mobile Facility at Oliktok Point (AMF3). We anticipate that these measurements will be used for a variety of purposes, including: 1) to conduct detailed studies of arctic cloud and aerosol processes; 2) to inform YOPP modeling efforts through real-time availability for assimilation into operational and research analysis products; 3) to evaluate and improve retrieval algorithms involving ARM remote sensors; 4) to evaluate and improve a variety of modeling tools being used to forecast arctic weather and climate; and 5) to initialize and evaluate simulations associated with a potential arctic large-eddy simulation (LES) framework similar to the ongoing LES ARM Symbiotic Simulation and Observation (LASSO) project. |
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