Dataset Identification:
Resource Abstract:
- description: Relative-gravity data were collected at 58 stations over ten days between May 27, 2015 and June 25, 2015 using
a Zero Length Spring, Inc. Burris relative gravity meter (mention of a particular trade name does not imply endorsement by
the U.S. Governement). In total, 179 relative-gravity differences were observed. Relative-gravity-meter drift was removed
from the observations by modeling drift as a continuous function of time (Kennedy, 2015; Kennedy and Ferr , 2015). Absolute-gravity
data were collected at 14 stations during the week of May 18 22, 2015 using a Micro-g Lacoste, Inc. A-10 absolute gravity
meter. Network adjustment was performed using Gravnet software (Hwang, 2002) to provide representative station values as of
June 1, 2015. During the adjustment, an iterative procedure was used to identify bad relative-gravity observations as those
with high residuals (the difference between the observed value and the network-adjustment-predicted values). The a priori
standard deviation of the gravity differences was estimated by summing in quadrature the standard deviation from several samples
collected during each occupation; this estimate was revised upward by a factor of 3 based on the a posteriori variance of
unit weight and Chi-square test statistic. In total, 16 out of 179 observations were excluded from the adjustment. The residuals
are approximately normally distributed with standard deviation of 4.1 Gal. Also included are 2014 values from Kennedy (2015),
and the change in gravity from 2014 to 2015 is calculated.; abstract: Relative-gravity data were collected at 58 stations
over ten days between May 27, 2015 and June 25, 2015 using a Zero Length Spring, Inc. Burris relative gravity meter (mention
of a particular trade name does not imply endorsement by the U.S. Governement). In total, 179 relative-gravity differences
were observed. Relative-gravity-meter drift was removed from the observations by modeling drift as a continuous function of
time (Kennedy, 2015; Kennedy and Ferr , 2015). Absolute-gravity data were collected at 14 stations during the week of May
18 22, 2015 using a Micro-g Lacoste, Inc. A-10 absolute gravity meter. Network adjustment was performed using Gravnet software
(Hwang, 2002) to provide representative station values as of June 1, 2015. During the adjustment, an iterative procedure was
used to identify bad relative-gravity observations as those with high residuals (the difference between the observed value
and the network-adjustment-predicted values). The a priori standard deviation of the gravity differences was estimated by
summing in quadrature the standard deviation from several samples collected during each occupation; this estimate was revised
upward by a factor of 3 based on the a posteriori variance of unit weight and Chi-square test statistic. In total, 16 out
of 179 observations were excluded from the adjustment. The residuals are approximately normally distributed with standard
deviation of 4.1 Gal. Also included are 2014 values from Kennedy (2015), and the change in gravity from 2014 to 2015 is calculated.
Citation
- Title Gravity Change from 2014 to 2015, Sierra Vista Subwatershed, Upper San Pedro Basin, Arizona.
-
- creation Date
2018-05-20T03:36:54.409727
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- URL: http://dx.doi.org/10.5066/F7SQ8XHX
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Linkage for online resource
- name Dublin Core references URL
- URL: http://dx.doi.org/10.5066/F7SQ8XHX
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- name Dublin Core references URL
- URL: http://dx.doi.org/10.3133/ofr20161155
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- Description URL provided in Dublin Core references element.
Metadata data stamp:
2018-08-06T20:04:07Z
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- notes: This metadata record was generated by an xslt transformation from a dc metadata record; Transform by Stephen M. Richard, based
on a transform by Damian Ulbricht. Run on 2018-08-06T20:04:07Z
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CINERGI Metadata catalog
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- electronic Mail Address cinergi@sdsc.edu
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eng
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ISO 19139 Geographic Information - Metadata - Implementation Specification
standard version:
2007
Metadata record identifier:
urn:dciso:metadataabout:2bd266ae-4aee-4147-8409-e22007d75547
Metadata record format is ISO19139 XML (MD_Metadata)