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Tytuł pozycji:

Statistical characteristics of Arctic forecast busts and their relationship to Arctic weather patterns in summer.

Tytuł:
Statistical characteristics of Arctic forecast busts and their relationship to Arctic weather patterns in summer.
Autorzy:
Yamagami, Akio (AUTHOR)
Matsueda, Mio (AUTHOR)
Temat:
*Weather forecasting
*Sea ice
*Weather
Numerical weather forecasting
Forecasting
Lead time (Supply chain management)
Źródło:
Atmospheric Science Letters (John Wiley & Sons, Inc. ). Aug2021, Vol. 22 Issue 8, p1-9. 9p.
Terminy geograficzne:
Arctic regions
Czasopismo naukowe
Recently, human activity in the Arctic region, such as trans‐Arctic shipping, has increased due to the reduction in Arctic sea ice. Accurate weather forecasts will become increasingly important as the level of human activity in the Arctic continues to increase. Operational numerical weather predictions (NWPs) have been improved considerably over recent decades; however, they still occasionally generate large forecast errors referred to as "forecast busts." This study investigates forecast busts over the Arctic between 2008 and 2019 using operational forecasts from five leading NWP centers. Forecasts with an anomaly correlation coefficient below its climatological 10th percentile, and a root‐mean‐square error above its 90th percentile at a lead time of 144 hr, are regarded as "busts." The occurrence frequency of forecast busts decreased from 2008 (13–7%) to 2012 and was between 2 and 6% for the period 2012–2019. Arctic forecast busts were most frequent in the May and July–September periods (~6 to 7%), but less frequent between December and March (~4%). The summertime forecast bust occurred more frequently when the initial pattern was the Greenland Blocking (GB) or Arctic Cyclone (AC) pattern rather than one of the other patterns. Some busts occurred without the weather pattern transition (~22 to 40%), but the others occurred with the pattern transition. These results help users to be careful when they use the forecasts initialized on GB and AC patterns. [ABSTRACT FROM AUTHOR]
Copyright of Atmospheric Science Letters (John Wiley & Sons, Inc. ) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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