Finding Storm Track Activity Metrics that are Highly Correlated with Weather Impacts. Part 1: Frameworks for Evaluation and Accumulated Track Activity
Advanced Search
Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

All these words:

For very narrow results

This exact word or phrase:

When looking for a specific result

Any of these words:

Best used for discovery & interchangable words

None of these words:

Recommended to be used in conjunction with other fields

Language:

Dates

Publication Date Range:

to

Document Data

Title:

Document Type:

Library

Collection:

Series:

People

Author:

Help
Clear All

Query Builder

Query box

Help
Clear All

For additional assistance using the Custom Query please check out our Help Page

i

Finding Storm Track Activity Metrics that are Highly Correlated with Weather Impacts. Part 1: Frameworks for Evaluation and Accumulated Track Activity

Filetype[PDF-5.05 MB]


Select the Download button to view the document
This document is over 5mb in size and cannot be previewed
Details Supporting Files You May Also Like

Details:

  • Journal Title:
    Journal of Climate
  • Personal Author:
  • NOAA Program & Office:
  • Description:
    In the midlatitudes, storm tracks give rise to much of the high-impact weather, including precipitation and strong winds. Numerous metrics have been used to quantify storm track activity, but there has not been any systematic evaluation of how well different metrics relate to weather impacts. In this study, two frameworks have been developed to provide such evaluations. The first framework quantifies the maximum one-point correlation between weather impacts at each grid point and the assessed storm track metric. The second makes use of canonical correlation analysis to find the best correlated patterns and uses these patterns to hindcast weather impacts based on storm track metric anomalies using a leave-N-out cross-validation approach. These two approaches have been applied to assess multiple Eulerian variances and Lagrangian tracking statistics for Europe, using monthly precipitation and a near-surface high-wind index as the assessment criteria. The results indicate that near-surface storm track metrics generally relate more closely to weather impacts than upper-tropospheric metrics. For Eulerian metrics, synoptic time scale eddy kinetic energy at 850 hPa relates strongly to both precipitation and wind impacts. For Lagrangian metrics, a novel metric, the accumulated track activity (ATA), which combines information from both cyclone track frequency and amplitude, is found to be best correlated with weather impacts when spatially filtered 850-hPa vorticity maxima are used to define cyclones. The leading patterns of variability for ATA are presented, demonstrating that this metric exhibits coherent large-scale month-to-month variations that are highly correlated with variations in the mean flow and weather impacts.
  • Keywords:
  • Source:
    Journal of Climate, 33(23), 10169-10186. https://journals.ametsoc.org/view/journals/clim/33/23/jcliD200393.x
  • DOI:
  • Document Type:
    Journal Article
  • Funding:
    Grant no. NA19OAR4310283
  • Rights Information:
    Other
  • Compliance:
    Submitted
  • Main Document Checksum:
  • Download URL:
  • File Type:

You May Also Like

Checkout today's featured content at repository.library.noaa.gov

Version 3.26