Science Keywords>HUMAN DIMENSIONS
Northeast Snowfall Impact Scale (NESIS)Entry ID: gov.noaa.ncdc.C00453
Abstract: While the Fujita and Saffir-Simpson Scales characterize tornadoes and hurricanes respectively, there is no widely used scale to classify snowstorms. The Northeast Snowfall Impact Scale (NESIS) developed by Paul Kocin of The Weather Channel and Louis Uccellini of the National Weather Service characterizes and ranks high-impact Northeast snowstorms. These storms have large areas of 10 inch snowfall ... accumulations and greater. NESIS has five categories: Extreme, Crippling, Major, Significant, and Notable. The index differs from other meteorological indices in that it uses population information in addition to meteorological measurements. Thus NESIS gives an indication of a storm's societal impacts. NESIS scores are a function of the area affected by the snowstorm, the amount of snow, and the number of people living in the path of the storm. The aerial distribution of snowfall and population information are combined in an equation that calculates a NESIS score which varies from around one for smaller storms to over ten for extreme storms. The raw score is then converted into one of the five NESIS categories. The largest NESIS values result from storms producing heavy snowfall over large areas that include major metropolitan centers. For details on how NESIS scores are calculated at the National Climatic Data Center, see Squires and Lawrimore (2006).
Purpose: The NESIS was developed because of the impact Northeast snowstorms can have on the rest of the country in terms of transportation and economic impact.
SUPPLEMENTAL INFORMATION: Product
CURRENTNESS REFERENCE: ground condition
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Data Set Citation
Dataset Originator/Creator: DOC/NOAA/NESDIS/NCDC > National Climatic Data Center, NESDIS, NOAA, U.S. Department of Commerce
Dataset Title: Northeast Snowfall Impact Scale (NESIS)
Dataset Release Date: 2006
Dataset Release Place: Asheville, NC
Dataset Publisher: DOC/NOAA/NESDIS/NCDC > National Climatic Data Center, NESDIS, NOAA, U.S. Department of Commerce
Data Presentation Form: tabular digital data
Start Date: 1956-03-18
ISO Topic Category
Quality ATTRIBUTE ACCURACY REPORT: For reports on attribute accuracy, see: http://www.ncdc.noaa.gov/oa/climate/research/snow-nesis/squires.pdf
LOGICAL CONSISTENCY REPORT: For an explanation of the fidelity of relationships encoded in the data structure, see: http://www.ncdc.noaa.gov/oa/climate/research/snow-nesis/squires.pdf
... COMPLETENESS REPORT: For a completeness report, see: http://www.ncdc.noaa.gov/oa/climate/research/snow-nesis/squires.pdf
PROCESS DESCRIPTION: For details on how NESIS scores are calculated at the National Climatic Data Center, see: http://www.ncdc.noaa.gov/oa/climate/research/snow-nesis/squires.pdf
PROCESS DATE: Unknown
Access Constraints ACCESS CONSTRAINTS: None
DISTRIBUTION LIABILITY: Every effort has been made to ensure that these data are accurate and reliable within the limits of current NOAA quality control procedures. NOAA can only certify that the data provided to its customers is an authentic copy of the records which were accepted for inclusion in NOAA archives. NOAA cannot assume liability for any damages caused by any errors or omissions in the data, nor as a result of the failure of the data to function on a particular system. NOAA makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty.
Use Constraints Acknowledgement of the Data Originator when using the Data Item as a source is required.
Data Set Progress
Distribution Format: TEXT, JPEG
Fees: Please See Summary
Role: DIF AUTHOR
Email: ncdc.metadata at noaa.gov
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Province or State: North Carolina
Postal Code: 28801-5001
Extended Metadata Properties
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Creation and Review Dates
DIF Creation Date: 2007-03-08
Last DIF Revision Date: 2013-01-29