Accession Number : AD1017503


Title :   The Automation of Nowcast Model Assessment Processes


Descriptive Note : Technical Report


Corporate Author : Computational Information Sciences Directorate, US Army Research Laboratory Adelphi


Personal Author(s) : Dawson,Leelinda P ; Raby,John W ; Smith,Jeffrey A


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/1017503.pdf


Report Date : 01 Sep 2016


Pagination or Media Count : 22


Abstract : Nowcast model assessment involves applying model verification techniques to generate error statistics to improve model performance and the accuracy of forecasts produced by US Army Research Laboratory's nowcast model, Weather Running Estimate-Nowcast (WRE-N). This report documents the design and implementation of the automated process of generating domain-level error statistics that can be used by modelers to improve the accuracy of WRE-N model forecasts. This process allows multiple user configurations, and produces a controlled data structure that could be easily used in data analysis and the evaluation of model improvements.


Descriptors :   weather forecasting , high resolution , quality control , department of defense , information operations , lead time , accuracy , automation , case studies


Distribution Statement : APPROVED FOR PUBLIC RELEASE