User’s manual for the Automated Data Assurance and Management application developed for quality control of Everglades Depth Estimation Network water-level data
Links
- Document: Report (13.3 MB pdf)
- Related Work: Scientific Investigations Report 2016–5094 - Using Inferential Sensors for Quality Control of Everglades Depth Estimation Network Water-Level Data
- Companion File: Executable files for Automated Data Assurance and Management application
- Download citation as: RIS | Dublin Core
Abstract
The generation of Everglades Depth Estimation Network (EDEN) daily water-level and water-depth maps is dependent on high quality real-time data from over 240 water-level stations. To increase the accuracy of the daily water-surface maps, the Automated Data Assurance and Management (ADAM) tool was created by the U.S. Geological Survey as part of Greater Everglades Priority Ecosystems Science. The ADAM tool is used to provide accurate quality-assurance review of the real-time data from the EDEN network and allows estimation or replacement of missing or erroneous data. This user’s manual describes how to install and operate the ADAM software. File structure and operation of the ADAM software is explained using examples.
Suggested Citation
Petkewich, M.D., Daamen, R.C., Roehl, E.A., and Conrads, P.A., 2016, User’s manual for the Automated Data Assurance and Management application developed for quality control of Everglades Depth Estimation Network water-level data: U.S. Geological Survey Open-File Report 2016–1116, 28 p., http://dx.doi.org/10.3133/ofr20161116.
ISSN: 2331-1258 (online)
Table of Contents
- Abstract
- Introduction
- Application Files
- Installation, System Requirements, and Removal
- Application Overview
- Operation
- Application Input File Format
- Application User Worksheets
- ADAMDB Table Structure
- Summary
- Reference Cited
Publication type | Report |
---|---|
Publication Subtype | USGS Numbered Series |
Title | User’s manual for the Automated Data Assurance and Management application developed for quality control of Everglades Depth Estimation Network water-level data |
Series title | Open-File Report |
Series number | 2016-1116 |
DOI | 10.3133/ofr20161116 |
Year Published | 2016 |
Language | English |
Publisher | U.S. Geological Survey |
Publisher location | Reston, VA |
Contributing office(s) | South Atlantic Water Science Center |
Description | Report: vi, 28 p.; Companion File |
Online Only (Y/N) | Y |
Google Analytic Metrics | Metrics page |