A Comparison of Model Short-Range Forecasts and the ARM Microbase Data Fourth Quarter ARM Science Metric

For the fourth quarter ARM metric we will make use of new liquid water data that has become available, and called the “Microbase” value added product (referred to as OBS, within the text) at three sites: the North Slope of Alaska (NSA), Tropical West Pacific (TWP) and the Southern Great Plains (SGP)...

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Main Author: Hnilo, J.
Language:unknown
Published: 2016
Subjects:
Online Access:http://www.osti.gov/servlets/purl/948099
https://www.osti.gov/biblio/948099
https://doi.org/10.2172/948099
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spelling ftosti:oai:osti.gov:948099 2023-07-30T04:05:44+02:00 A Comparison of Model Short-Range Forecasts and the ARM Microbase Data Fourth Quarter ARM Science Metric Hnilo, J. 2016-04-06 application/pdf http://www.osti.gov/servlets/purl/948099 https://www.osti.gov/biblio/948099 https://doi.org/10.2172/948099 unknown http://www.osti.gov/servlets/purl/948099 https://www.osti.gov/biblio/948099 https://doi.org/10.2172/948099 doi:10.2172/948099 54 ENVIRONMENTAL SCIENCES 2016 ftosti https://doi.org/10.2172/948099 2023-07-11T08:46:55Z For the fourth quarter ARM metric we will make use of new liquid water data that has become available, and called the “Microbase” value added product (referred to as OBS, within the text) at three sites: the North Slope of Alaska (NSA), Tropical West Pacific (TWP) and the Southern Great Plains (SGP) and compare these observations to model forecast data. Two time periods will be analyzed March 2000 for the SGP and October 2004 for both TWP and NSA. The Microbase data have been averaged to 35 pressure levels (e.g., from 1000hPa to 100hPa at 25hPa increments) and time averaged to 3hourly data for direct comparison to our model output. Other/Unknown Material north slope Alaska SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Pacific
institution Open Polar
collection SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy)
op_collection_id ftosti
language unknown
topic 54 ENVIRONMENTAL SCIENCES
spellingShingle 54 ENVIRONMENTAL SCIENCES
Hnilo, J.
A Comparison of Model Short-Range Forecasts and the ARM Microbase Data Fourth Quarter ARM Science Metric
topic_facet 54 ENVIRONMENTAL SCIENCES
description For the fourth quarter ARM metric we will make use of new liquid water data that has become available, and called the “Microbase” value added product (referred to as OBS, within the text) at three sites: the North Slope of Alaska (NSA), Tropical West Pacific (TWP) and the Southern Great Plains (SGP) and compare these observations to model forecast data. Two time periods will be analyzed March 2000 for the SGP and October 2004 for both TWP and NSA. The Microbase data have been averaged to 35 pressure levels (e.g., from 1000hPa to 100hPa at 25hPa increments) and time averaged to 3hourly data for direct comparison to our model output.
author Hnilo, J.
author_facet Hnilo, J.
author_sort Hnilo, J.
title A Comparison of Model Short-Range Forecasts and the ARM Microbase Data Fourth Quarter ARM Science Metric
title_short A Comparison of Model Short-Range Forecasts and the ARM Microbase Data Fourth Quarter ARM Science Metric
title_full A Comparison of Model Short-Range Forecasts and the ARM Microbase Data Fourth Quarter ARM Science Metric
title_fullStr A Comparison of Model Short-Range Forecasts and the ARM Microbase Data Fourth Quarter ARM Science Metric
title_full_unstemmed A Comparison of Model Short-Range Forecasts and the ARM Microbase Data Fourth Quarter ARM Science Metric
title_sort comparison of model short-range forecasts and the arm microbase data fourth quarter arm science metric
publishDate 2016
url http://www.osti.gov/servlets/purl/948099
https://www.osti.gov/biblio/948099
https://doi.org/10.2172/948099
geographic Pacific
geographic_facet Pacific
genre north slope
Alaska
genre_facet north slope
Alaska
op_relation http://www.osti.gov/servlets/purl/948099
https://www.osti.gov/biblio/948099
https://doi.org/10.2172/948099
doi:10.2172/948099
op_doi https://doi.org/10.2172/948099
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