Skillful Subseasonal Forecasts of Weekly Tornado and Hail Activity Using the Madden-Julian Oscillation

Baggett, Cory F.; Nardi, Kyle M.; Childs, Samuel J.; Zito, Samantha N.; Barnes, Elizabeth A.; Maloney, Eric D.

doi:10.1029/2018JD029059

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

Advanced Search
Custom Query

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:

Clear All

Query Builder

Query box

Clear All

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

i

Skillful Subseasonal Forecasts of Weekly Tornado and Hail Activity Using the Madden-Julian Oscillation

2018
By Baggett, Cory F. ; Nardi, Kyle M. ; Childs, Samuel J. ; ...
Source: Journal of Geophysical Research: Atmospheres, 123(22), 12,661-12,675

[PDF-5.48 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 Geophysical Research: Atmospheres
Personal Author:

Baggett, Cory F. ; Nardi, Kyle M. ; Childs, Samuel J. ; Zito, Samantha N. ; Barnes, Elizabeth A. ; ... More +

Baggett, Cory F. ; Nardi, Kyle M. ; Childs, Samuel J. ; Zito, Samantha N. ; Barnes, Elizabeth A. ; Maloney, Eric D. Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; CPO (Climate Program Office) ; NWS (National Weather Service) ; NCEP (National Centers for Environmental Prediction)

OAR (Oceanic and Atmospheric Research) ; CPO (Climate Program Office) ; NWS (National Weather Service) ; NCEP (National Centers for Environmental Prediction) Less -
Description:

In the United States, severe weather poses a threat to society, producing tornadoes and hail that can result in hundreds of casualties and billions of dollars in damages. Fortunately, skillful predictions of severe weather for short lead times of 0–8 days and longer lead times exceeding 1 month have been realized. However, this leaves a forecast gap at subseasonal to seasonal lead times of 2–5 weeks, when early-action decision making by stakeholders is typically made. Here we develop an empirical prediction model that fills this gap during March–June when severe weather is most prevalent across the United States.
Keywords:

[+]

Hail MJO Prediction S2S Teleconnection Tornado
Source:

Journal of Geophysical Research: Atmospheres, 123(22), 12,661-12,675
DOI:

https://doi.org/10.1029/2018JD029059
Document Type:

Journal Article
Funding:

Grant no. NA16OAR4310064 ; Grant no. NA16NWS4680022

Grant no. NA16OAR4310064 ; Grant no. NA16NWS4680022 Less -
Rights Information:

Other
Compliance:

Submitted
Main Document Checksum:

[+]

urn:sha256:a2da41baf029711962753097ea8ed78360fe15a4b7da0961b3bd902af1a094a7
Download URL:

https://repository.library.noaa.gov/view/noaa/36792/noaa_36792_DS1.pdf
File Type:

Supplemental media

pdf

More +