Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report April 1 - June 30, 2005

Description. Individual raw data streams from instrumentation at the Atmospheric Radiation Measurement (ARM) Program Climate Research Facility (ACRF) fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory for processing in near re...

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Main Author: Sisterson, D. L.
Other Authors: United States. Department of Energy.
Format: Report
Language:English
Published: Argonne National Laboratory 2005
Subjects:
Usa
Online Access:https://doi.org/10.2172/948520
https://digital.library.unt.edu/ark:/67531/metadc898589/
id ftunivnotexas:info:ark/67531/metadc898589
record_format openpolar
spelling ftunivnotexas:info:ark/67531/metadc898589 2023-05-15T17:40:15+02:00 Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report April 1 - June 30, 2005 Sisterson, D. L. United States. Department of Energy. 2005-06-30 Text https://doi.org/10.2172/948520 https://digital.library.unt.edu/ark:/67531/metadc898589/ English eng Argonne National Laboratory Atmospheric Radiation Measurement Program (U.S.) rep-no: DOE/SC-ARM/P-05-015 grantno: DE-AC02-06CH11357 doi:10.2172/948520 osti: 948520 https://digital.library.unt.edu/ark:/67531/metadc898589/ ark: ark:/67531/metadc898589 Weather Usa Data Processing Alaska Radiation Monitoring Measuring Instruments Climates Earth Atmosphere Pollution Availability Data Performance 54 Environmental Sciences Report 2005 ftunivnotexas https://doi.org/10.2172/948520 2017-02-18T23:07:04Z Description. Individual raw data streams from instrumentation at the Atmospheric Radiation Measurement (ARM) Program Climate Research Facility (ACRF) fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory for processing in near real time. Raw and processed data are then sent daily to the ACRF Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual data stream, site, and month for the current year and (2) site and fiscal year dating back to 1998. The United States Department of Energy requires national user facilities to report time-based operating data. The requirements concern the actual hours of operation (ACTUAL); the estimated maximum operation or uptime goal (OPSMAX), which accounts for planned downtime; and the VARIANCE [1 – (ACTUAL/OPSMAX)], which accounts for unplanned downtime. The OPSMAX time for the third quarter for the Southern Great Plains (SGP) site is 2,074.8 hours (0.95 × 2,184 hours this quarter). The annual OPSMAX for the North Slope Alaska (NSA) site is 1,965.6 hours (0.90 × 2,184), and that for the Tropical Western Pacific (TWP) site is 1,856.4 hours (0.85 × 2,184). The OPSMAX time for the ARM Mobile Facility (AMF) is 2,074.8 (0.95 × 2,184). The differences in OPSMAX performance reflect the complexity of local logistics and the frequency of extreme weather events. It is impractical to measure OPSMAX for each instrument or data stream. Data availability reported here refers to the average of the individual, continuous data streams that have been received by the ACRF Archive. Data not at the Archive are caused by downtime (scheduled or unplanned) of the individual instruments. Therefore, data availability is directly related to individual instrument uptime. Thus, the average percent of data in the Archive represents the average percent of the time (24 hours per day, 91 days for this quarter) the instruments were operating this quarter Report north slope Alaska University of North Texas: UNT Digital Library Pacific
institution Open Polar
collection University of North Texas: UNT Digital Library
op_collection_id ftunivnotexas
language English
topic Weather
Usa
Data Processing
Alaska
Radiation Monitoring
Measuring Instruments
Climates
Earth Atmosphere
Pollution
Availability
Data
Performance
54 Environmental Sciences
spellingShingle Weather
Usa
Data Processing
Alaska
Radiation Monitoring
Measuring Instruments
Climates
Earth Atmosphere
Pollution
Availability
Data
Performance
54 Environmental Sciences
Sisterson, D. L.
Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report April 1 - June 30, 2005
topic_facet Weather
Usa
Data Processing
Alaska
Radiation Monitoring
Measuring Instruments
Climates
Earth Atmosphere
Pollution
Availability
Data
Performance
54 Environmental Sciences
description Description. Individual raw data streams from instrumentation at the Atmospheric Radiation Measurement (ARM) Program Climate Research Facility (ACRF) fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory for processing in near real time. Raw and processed data are then sent daily to the ACRF Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual data stream, site, and month for the current year and (2) site and fiscal year dating back to 1998. The United States Department of Energy requires national user facilities to report time-based operating data. The requirements concern the actual hours of operation (ACTUAL); the estimated maximum operation or uptime goal (OPSMAX), which accounts for planned downtime; and the VARIANCE [1 – (ACTUAL/OPSMAX)], which accounts for unplanned downtime. The OPSMAX time for the third quarter for the Southern Great Plains (SGP) site is 2,074.8 hours (0.95 × 2,184 hours this quarter). The annual OPSMAX for the North Slope Alaska (NSA) site is 1,965.6 hours (0.90 × 2,184), and that for the Tropical Western Pacific (TWP) site is 1,856.4 hours (0.85 × 2,184). The OPSMAX time for the ARM Mobile Facility (AMF) is 2,074.8 (0.95 × 2,184). The differences in OPSMAX performance reflect the complexity of local logistics and the frequency of extreme weather events. It is impractical to measure OPSMAX for each instrument or data stream. Data availability reported here refers to the average of the individual, continuous data streams that have been received by the ACRF Archive. Data not at the Archive are caused by downtime (scheduled or unplanned) of the individual instruments. Therefore, data availability is directly related to individual instrument uptime. Thus, the average percent of data in the Archive represents the average percent of the time (24 hours per day, 91 days for this quarter) the instruments were operating this quarter
author2 United States. Department of Energy.
format Report
author Sisterson, D. L.
author_facet Sisterson, D. L.
author_sort Sisterson, D. L.
title Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report April 1 - June 30, 2005
title_short Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report April 1 - June 30, 2005
title_full Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report April 1 - June 30, 2005
title_fullStr Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report April 1 - June 30, 2005
title_full_unstemmed Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report April 1 - June 30, 2005
title_sort atmospheric radiation measurement program climate research facility operations quarterly report april 1 - june 30, 2005
publisher Argonne National Laboratory
publishDate 2005
url https://doi.org/10.2172/948520
https://digital.library.unt.edu/ark:/67531/metadc898589/
geographic Pacific
geographic_facet Pacific
genre north slope
Alaska
genre_facet north slope
Alaska
op_relation rep-no: DOE/SC-ARM/P-05-015
grantno: DE-AC02-06CH11357
doi:10.2172/948520
osti: 948520
https://digital.library.unt.edu/ark:/67531/metadc898589/
ark: ark:/67531/metadc898589
op_doi https://doi.org/10.2172/948520
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