A comparison of model short-range forecasts and the ARM Microbase data
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 Pl...
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ftosti:oai:osti.gov:929188 2023-07-30T04:05:44+02:00 A comparison of model short-range forecasts and the ARM Microbase data Hnilo, J J 2021-04-30 application/pdf http://www.osti.gov/servlets/purl/929188 https://www.osti.gov/biblio/929188 https://doi.org/10.2172/929188 unknown http://www.osti.gov/servlets/purl/929188 https://www.osti.gov/biblio/929188 https://doi.org/10.2172/929188 doi:10.2172/929188 54 ENVIRONMENTAL SCIENCES ATMOSPHERIC CHEMISTRY WATER CLIMATE MODELS FORECASTING PRESSURE DEPENDENCE COMPARATIVE EVALUATIONS 2021 ftosti https://doi.org/10.2172/929188 2023-07-11T08:46:08Z 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 |
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Open Polar |
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SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) |
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ftosti |
language |
unknown |
topic |
54 ENVIRONMENTAL SCIENCES ATMOSPHERIC CHEMISTRY WATER CLIMATE MODELS FORECASTING PRESSURE DEPENDENCE COMPARATIVE EVALUATIONS |
spellingShingle |
54 ENVIRONMENTAL SCIENCES ATMOSPHERIC CHEMISTRY WATER CLIMATE MODELS FORECASTING PRESSURE DEPENDENCE COMPARATIVE EVALUATIONS Hnilo, J J A comparison of model short-range forecasts and the ARM Microbase data |
topic_facet |
54 ENVIRONMENTAL SCIENCES ATMOSPHERIC CHEMISTRY WATER CLIMATE MODELS FORECASTING PRESSURE DEPENDENCE COMPARATIVE EVALUATIONS |
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 J |
author_facet |
Hnilo, J J |
author_sort |
Hnilo, J J |
title |
A comparison of model short-range forecasts and the ARM Microbase data |
title_short |
A comparison of model short-range forecasts and the ARM Microbase data |
title_full |
A comparison of model short-range forecasts and the ARM Microbase data |
title_fullStr |
A comparison of model short-range forecasts and the ARM Microbase data |
title_full_unstemmed |
A comparison of model short-range forecasts and the ARM Microbase data |
title_sort |
comparison of model short-range forecasts and the arm microbase data |
publishDate |
2021 |
url |
http://www.osti.gov/servlets/purl/929188 https://www.osti.gov/biblio/929188 https://doi.org/10.2172/929188 |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
north slope Alaska |
genre_facet |
north slope Alaska |
op_relation |
http://www.osti.gov/servlets/purl/929188 https://www.osti.gov/biblio/929188 https://doi.org/10.2172/929188 doi:10.2172/929188 |
op_doi |
https://doi.org/10.2172/929188 |
_version_ |
1772817853034004480 |