A Case of Missing Data Creating an Erroneous Automated Mesoscale Analysis Product

Capriola, Steven J.

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A Case of Missing Data Creating an Erroneous Automated Mesoscale Analysis Product

1990
By Capriola, Steven J.
Series: Eastern Region technical attachment (National Weather Service (U.S.)) 90-2A

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Personal Author:

Capriola, Steven J.
Corporate Authors:

United States. National Weather Service. Eastern Region
NOAA Program & Office:

NWS (National Weather Service) ; ER (Eastern Region)
Description:

Mesoscale analysis has become an important tool for short range forecasts. Several automated mesoscale analysis programs are available to National Weather Service forecasters via the Automation of Field Operations and Systems (AFOS). However, it is the forecaster on duty who must determine if the analysis is correct. Erroneous or missing data can produce a product that is not representative of the weather situation.
Keywords:

Electronic Data Processing Missing Observations (Statistics) Weather Forecasting Winter Storms Electronic Data Processing Missing Observations (Statistics) Weather Forecasting Winter Storms
Series:

Eastern Region technical attachment (National Weather Service (U.S.)) 90-2A
Format:

pdf
Document Type:

Technical Attachment
Place as Subject:

East (U.S.) ; Southern States
License:

https://creativecommons.org/publicdomain/zero/1.0/
Rights Information:

CC0 Public Domain
Compliance:

Submitted
Main Document Checksum:

urn:sha-512:a1764d2b0ad4bd85362dd2c326054aee3505fe8ebf8d5f389c2a9303f91f6d6bc046ab1f0678de09314e2318293ddd1dc2e0cfdaec14356aa4a2bdeb3a8ef048
Download URL:

https://repository.library.noaa.gov/view/noaa/70025/noaa_70025_DS1.pdf
File Type:

[PDF - 3.04 MB ]

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