GSadjust
January 14, 2021
GSadjust is the first comprehensive, publicly-available graphical interface for performing drift-correction and network adjustment for combined relative- and absolute-gravity surveys (Kennedy and others, 2021). The objective of network adjustment is to determine a single, best-fit gravity value at each station based on all available observations and their respective uncertainty. Typically the observations are relative-gravity differences between stations, observed with a relative-gravity meter, and absolute-gravity measurements at individual stations, observed with an absolute-gravity meter.
Citation Information
Publication Year | 2021 |
---|---|
Title | GSadjust |
DOI | 10.5066/P9YEIOU8 |
Authors | Jeffrey R Kennedy |
Product Type | Software Release |
Record Source | USGS Asset Identifier Service (AIS) |
USGS Organization | Arizona Water Science Center, Tucson Office |
Related Content
Procedures for field data collection, processing, quality assurance and quality control, and archiving of relative- and absolute-gravity surveys
Repeat microgravity surveys carried out using relative- and absolute-gravity meters are useful for identifying changes in subsurface mass, such as the volume of water stored in an aquifer. These surveys require careful field procedures to achieve the part-per-billion accuracy required to measure the small changes in gravity relevant for hydrologic studies. This chapter describes techniques and met
Authors
Jeffrey R. Kennedy, Donald R. Pool, Robert L. Carruth
Related Content
Procedures for field data collection, processing, quality assurance and quality control, and archiving of relative- and absolute-gravity surveys
Repeat microgravity surveys carried out using relative- and absolute-gravity meters are useful for identifying changes in subsurface mass, such as the volume of water stored in an aquifer. These surveys require careful field procedures to achieve the part-per-billion accuracy required to measure the small changes in gravity relevant for hydrologic studies. This chapter describes techniques and met
Authors
Jeffrey R. Kennedy, Donald R. Pool, Robert L. Carruth