Implementation and Refinement of Digital Forecasting Databases

Implementation and Refinement of Digital Forecasting Databases IMPLEMENTATION AND REFINEMENT OF DIGITAL FORECASTING DATABASES BY ELLIOT ABRAMS In the digital forecasting age, many people and processes must work together with the technologies to create accurate, timely, and consistent forecasts. he National Weather Service (NWS) National digital forecasts are translated into words, the level of Digital Forecast Database (NDFD) was featured detail and communicative potential will depend on the Tin Glahn and Ruth (2003).1 sophistication of the translation scheme. This article identifies issues and offers ideas to en- During early digital database deployments in the hance the usefulness of digital forecast databases workplace, there have been some disconnects between (DFDs). The remarks are based on experience with the what planners and managers envisioned and what pro- development, implementations, and use of such tools ducers (and users) experienced. An exchange between in the commercial sector,2 and observations on the Glahn (2003) and Mass (2003a,b) is illustrative. rollout of the NWS NDFD. Glahn (2003) states, "So, even though there are chal- DFDs represent a revolutionary change in weather lenges in obtaining consistency of fine scale grids at forecast creation. Instead of manually producing fore- WFO boundaries, the NWS forecasters have risen to that particular challenge and are by all http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Bulletin of the American Meteorological Society American Meteorological Society

Implementation and Refinement of Digital Forecasting Databases

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Publisher
American Meteorological Society
Copyright
Copyright © American Meteorological Society
ISSN
1520-0477
D.O.I.
10.1175/BAMS-85-11-1667
Publisher site
See Article on Publisher Site

Abstract

IMPLEMENTATION AND REFINEMENT OF DIGITAL FORECASTING DATABASES BY ELLIOT ABRAMS In the digital forecasting age, many people and processes must work together with the technologies to create accurate, timely, and consistent forecasts. he National Weather Service (NWS) National digital forecasts are translated into words, the level of Digital Forecast Database (NDFD) was featured detail and communicative potential will depend on the Tin Glahn and Ruth (2003).1 sophistication of the translation scheme. This article identifies issues and offers ideas to en- During early digital database deployments in the hance the usefulness of digital forecast databases workplace, there have been some disconnects between (DFDs). The remarks are based on experience with the what planners and managers envisioned and what pro- development, implementations, and use of such tools ducers (and users) experienced. An exchange between in the commercial sector,2 and observations on the Glahn (2003) and Mass (2003a,b) is illustrative. rollout of the NWS NDFD. Glahn (2003) states, "So, even though there are chal- DFDs represent a revolutionary change in weather lenges in obtaining consistency of fine scale grids at forecast creation. Instead of manually producing fore- WFO boundaries, the NWS forecasters have risen to that particular challenge and are by all

Journal

Bulletin of the American Meteorological SocietyAmerican Meteorological Society

Published: Nov 11, 2004

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