FIG. 1. Schematic of AMPS: input, output, and users and

L ogistical and scientific operations in Antarcticaare critically dependent on numerical weatherguidance. The extreme, unforgiving environment amplifies the risks stemming from poor forecasts, while the sparse observing network often leaves fore-casters heavily reliant on numerical weather predic-ti...

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Bibliographic Details
Main Authors: G. Powers, Andrew J. Monaghan, Arthur M. Cayette, David H. Bromwich, Ying-hwa Kuo, Kevin, W. Manning
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 1534
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.583.1229
http://polarmet.osu.edu/PolarMet/PMGFulldocs/powers_monaghan_bam_2003.pdf
Description
Summary:L ogistical and scientific operations in Antarcticaare critically dependent on numerical weatherguidance. The extreme, unforgiving environment amplifies the risks stemming from poor forecasts, while the sparse observing network often leaves fore-casters heavily reliant on numerical weather predic-tion (NWP). To the operation of real-time mesoscale (i.e., limited area) models, Antarctica likewise pre-sents unique challenges. The difficulties include poor first-guess and boundary condition sources, the short-age of conventional meteorological observations over the continent and Southern Ocean, and the polar at-mosphere itself, to which models generally have not been tuned.