Instrument Cross-Comparisons and Automated Quality Control of Atmospheric Radiation Measurement Data
18 Mar 2005-
TL;DR: Within the Atmospheric Radiation Measurement (ARM) instrument network, several different systems often measure the same quantity at the same site as mentioned in this paper, and they have been extended to the development of methods for automated quality control (QC) of ARM datastreams.
Abstract: Within the Atmospheric Radiation Measurement (ARM) instrument network, several different systems often measure the same quantity at the same site. For example, several ARM instruments measure time-series profiles of the atmosphere that were previously available only from balloon-borne radiosonde systems. These instruments include the Radar Wind Profilers (RWP) with Radio-Acoustic Sounding Systems (RASS), the Atmospheric Emitted Radiance Interferometer (AERI), the Microwave Radiometer Profiler (MWRP), and the Raman Lidar (RL). ARM researchers have described methods for direct cross-comparison of time-series profiles (Coulter and Lesht 1996; Turner et al. 1996) and we have extended this concept to the development of methods for automated quality control (QC) of ARM datastreams.
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01 Jan 2005
TL;DR: The Atmospheric Radiation Measurement (ARM) Data Quality Office (DQO) has made a number of improvements and additions over the past year to its main tool for inspecting and assessing ARM data quality—the Data Quality Health and Status (D Q HandS) system.
Abstract: The Atmospheric Radiation Measurement (ARM) Data Quality Office (DQO) has made a number of improvements and additions over the past year to its main tool for inspecting and assessing ARM data quality—the Data Quality Health and Status (DQ HandS) system (http://dq.arm.gov/). Among the improvements and additions, some of which are shown below, are the inclusion of ARM Mobile Facility (AMF) data; a new plot browser to facilitate the viewing of DQ HandS diagnostic plots; an improved method for writing and databasing weekly data quality assessment reports; a new automated daily alert, an improved method for searching ARM report databases (see Doty and Wagener’s abstract in this proceeding); addition of more instrument and value-added products output, and creation of a development version of DQ HandS that allows the present system to become a true production tool.
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23 Jun 2005
TL;DR: The Atmospheric Radiation Measurement (ARM) Data Quality Office (DQO) has made a number of improvements and additions over the past year to its main tool for inspecting and assessing ARM data quality as discussed by the authors.
Abstract: The Atmospheric Radiation Measurement (ARM) Data Quality Office (DQO) has made a number of improvements and additions over the past year to its main tool for inspecting and assessing ARM data quality—the Data Quality Health and Status (DQ HandS) system (http://dq.arm.gov/). Among the improvements and additions, some of which are shown below, are the inclusion of ARM Mobile Facility (AMF) data; a new plot browser to facilitate the viewing of DQ HandS diagnostic plots; an improved method for writing and databasing weekly data quality assessment reports; a new automated daily alert, an improved method for searching ARM report databases (see Doty and Wagener’s abstract in this proceeding); addition of more instrument and value-added products output, and creation of a development version of DQ HandS that allows the present system to become a true production tool.
4 citations
01 Jan 1996
TL;DR: In this article, the radar wind profiler Radio Acoustic Sounding System (RASS) and balloon borne sounding system (BBSS) provide a useful tandem for scientific studies, instrument comparison, and instrument maintenance at the Southern Great Plains (SGP) Cloud and Radiation Testbed (CART) central facility.
Abstract: Data from the radar wind profiler Radio Acoustic Sounding System (RASS) and balloon borne sounding system (BBSS) provide a useful tandem for scientific studies, instrument comparison, and instrument maintenance at the Southern Great Plains (SGP) Cloud and Radiation Testbed (CART) central facility. The RASS measures virtual temperature profiles remotely from, nominally, 100 m to 1500 m above the surface 10 min out of every hour and wind speed and direction for the remaining 50 min. In comparison, the BBSS measures profiles of wind, wind direction, temperature, and moisture from the surface to 30 km or more with samples of winds approximately every 50 min and temperature and moisture every 10 m. Because the BBSS data are sampled with a freeflying balloon, the vertical profile is a Lagrangian measure, at least in the horizontal; they are affected by horizontal and A time series of the mean and standard deviation of the differtemporal differences in the meteorological fields. The profiler ences is shown in Figure 1. Differences of about 1 m/s, 5 deg winds and temperatures are true vertical profiles anchored to and 0.5 K for wind speed, wind direction, and virtual temthe central facility and are Eulerian measures. perature, respectively, appear to be “normal” for these two
4 citations
"Instrument Cross-Comparisons and Au..." refers methods in this paper
...ARM researchers have described methods for direct cross-comparison of time-series profiles (Coulter and Lesht 1996; Turner et al. 1996) and we have extended this concept to the development of methods for automated quality control (QC) of ARM datastreams....
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