uid=MCM,o=EDI,dc=edirepository,dc=org all public read ONYX_LWRIGHT_HYDRO Seasonal high-frequency measurements of discharge, water temperature, and specific conductivity from the Onyx River at Lower Wright, McMurdo Dry Valleys, Antarctica (1972-2020, ongoing) Michael Gooseff michael.gooseff@colorado.edu http://goosefflab.weebly.com https://orcid.org/0000-0003-4322-8315 Diane McKnight diane.mcknight@colorado.edu https://orcid.org/0000-0002-4171-1533 McMurdo Dry Valleys LTER http://mcmlter.org/ Sam Beane Samuel.Beane@colorado.edu associated researcher Renée Brown rfbrown@unm.edu https://orcid.org/0000-0002-4986-7663 data manager Henry Brandes Henry.Brandes@colorado.edu former field crew Jade Lawrence jlawrence1@unm.edu former field crew Joel Singley
Institute of Arctic and Alpine Research Boulder CO 80303 US
joel.singley@colorado.edu https://orcid.org/0000-0002-7906-8491 former field crew
Chris Jaros chris.jaros@gmail.com former field crew Inigo San Gil
Department of Biology, MSC03 2020 University of New Mexico Albuquerque NM 87131 US
(505) 277-2625 (505) 277-2541 isangil@lternet.edu former data manager
2021-03-19 English
As part of the Long Term Ecological Research (LTER) project in the McMurdo Dry Valleys of Antarctica, a systematic sampling program has been undertaken to monitor the glacial meltwater streams in that region. This package contains data pertaining to continuous monitored water quality and quantity parameters measured with automatic recording devices on streams in this region. Specifically, this metadata record describes the hydrology data set for the McMurdo Dry Valleys' Onyx River at the Lower Wright streamgage, located in the Wright Valley. Measurements commenced in 1972 and are ongoing. This dataset extends through the first half of the 2019-20 field season.
discharge hydrology streamflow Station Keywords discharge hydrology stream discharge streamflow LTER Controlled Vocabulary
Data Policies This data package is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0; http://creativecommons.org/licenses/by/4.0/), which allows consumers (hereinafter referred to as “Data Users”) to freely reuse, redistribute, transform, or build on this work (even commercially) so long as appropriate credit is provided. Accordingly, Data Users are required to properly cite this data package in any publications or in the metadata of any derived products that result from its use (in whole or in part). A recommended citation is provided on the summary metadata page associated with this data package in the McMurdo Dry Valleys LTER Data Catalog (https://mcmlter.org/data), and a generic citation may be found on the summary metadata page in the repository where this data package was obtained. When these data contribute significantly to the contents of a publication, Data Users must also acknowledge that data were provided by the NSF-supported McMurdo Dry Valleys Long Term Ecological Research program (OPP-1637708). This data package has been released in the spirit of open scientific collaboration. Hence, Data Users are strongly encouraged to consider consultation, collaboration, and/or co-authorship (as appropriate) with the data package creator(s). Data Users should be aware these data may be actively used by others for ongoing research; thus, coordination may be necessary to prevent duplicate publication. Data Users should also recognize that misinterpretation of data may occur if they are used outside the context of the original study. Hence, Data Users are urged to contact the data package creator(s) if they have any questions regarding methodology or results. While substantial efforts are made to ensure the accuracy of this data package (with all its components), complete accuracy cannot be guaranteed. Periodic updates to this data package may occur, and it is the responsibility of Data Users to check for new versions. This data package is made available “as is” and comes with no warranty of accuracy or fitness for use. The creator(s) of this data package and the repository where these data were obtained shall not be liable for any damages resulting from misinterpretation, use, or misuse of these data. Finally, as a professional courtesy, we kindly request Data Users notify the primary contact referenced in the metadata when these data are used in the production of any derivative work or publication. Notification should include an explanation of how the data were used, along with a digital copy of the derived product(s). Thank you.
https://mcm.lternet.edu/content/seasonal-high-frequency-measurements-discharge-water-temperature-and-specific-conductivit-11 USGS site 15; kiwi site 3500002; coordinates taken from 1996-97 GPS measurements at center of weir Parent Stream: Onyx River Provenance : GPS96-97.DOC ID: onyx_lwright 162.653533900000 162.653533900000 -77.444534000000 -77.444534000000 273 273 meter 1972-12-04 2020-01-22 On 2016, data seasons from 2005 until 2010 were reworked. Data had an incorrect one hour offset. In addition, the unit conversion from cfs to Liters per second was incorrect. Additionally, data had errors in the USGS workups that was based upon.  Finally, the USGS data lacked recordings for the water temperature and specific conductance.  All these issues were corrected by Chris Jaros, and data was reposted in Nov. 2016 by Inigo.   The seasons from 2005 onwards were pulled off the public domain and are currently undergoing revision (Feb 2016).    New codes for the COMMENTS column were created in 2005 after a meeting between the stream team and the information manager (Chris Gardner).  These comments were added to stream data that were worked up after that point  - they usually appear in the data around the 2003 season.   Additional new comments codes were added for revised stream flow analysis for the Onyx at Vanda and Onyx at Lower Wright sites  by Karen Cozzetto and Steven Crisp.  Stream flow  data for the Onyx river was re-analyzed.        Metadata moved to DEIMS by Inigo San Gil on 2015   Metadata enhanced by Inigo San Gil on 2014   In order to make the data more relational / useful in Oracle and ArcInfo, and generate links between different data and metadata fields, a dataset code was added to these files.   In October, 1999 Mike Gooseff submitted the 1997-98 data to Denise Steigerwald (the data manager at the time) in ascii, comma delimited files. In order to prepare the files for use in an Oracle database as well as a geographic information system, Denise created a field for "strmgageid" (stream gage id), converted any time fields of 24:00 to 0:00 on the following day, combined the date and time fields into one date/time field, and separated the data into separate files for each station. Data which was previously presented according to decade collected is now presented according to location, and contains records from the start date of monitoring for a given stream gage.   The 'discrete_stream_gauge' table was created by Harry House in early 1994. It was first stored in an INGRES database, but was converted to ORACLE format in early 1996. Modifications were generally made each year after the initial creation in the early part of the year. It was transferred to INSTAAR in late 1997, where it was stored in a Microsoft Access database, and presented on the web in ascii, comma delimited files. McMurdo Dry Valleys LTER Information Manager im@mcmlter.org McMurdo Dry Valleys LTER http://mcmlter.org/ McMurdo Dry Valleys LTER
Campbell CR10 dataloggers were used to record stream stage, water temperature, and conductivity in a network of stream gages. Stage is monitored with pressure transducers; PSS-1 and PS-2 models form Paroscientific Corporation, and Accubars from Sutron Corporation. The pressure transducers measure the backpressure in orifice lines set into or above controls in the stream channel. In addition, some of the sites monitor water temperature and conductivity with either USGS minimonitor probes, or Campbell temperature/conductivity probes. Ratings are developed for the stage/discharge relationship at each site by measuring streamflow with current meters or portable flumes, according to standard USGS methods. Datum corrections to the stage are determined by periodically surveying the elevation of the orifice line to the control and nearby reference marks. Calibrations for the temperature and conductivity are assessed by measuring these parameters with portable field meters while simultaneously noting the readings from the gage probes. Data is downloaded into Campbell storage modules, and retrieved into pcs. From there, the data is sent to a USGS computer, where time discrepancies are resolved, and the data is loaded into ADAPS, a database system developed in the USGS for maintaining and processing water data. A determination for each site as to when the stream was flowing and when it was not is made. For water temperature and conductivity, bad data is deleted. Variable shifts are determined based on field calibration measurements, and other indicators. The shifts are applied to the remaining good data inside of ADAPS. The data is pulled out of ADAPS, and reformatted for input into ORACLE. Cases of water temperature below reasonable values are set to lower limits. A quality code is assigned to every value. The resulting data is uploaded into the ORACLE and the McMurdo database. For stage/discharge, bad data is deleted. Survey data is reviewed to compute weir elevations and datum corrections. A rating curve is developed graphically, based on available data, and entered into ADAPS. All applicable shifts and datum corrections are entered into ADAPS. All corrections and ratings are run against the good stage data to compute the discharge at each recording interval . The data is pulled out of ADAPS, and reformatted for input into ORACLE. A quality code is assigned to every value. The resulting data is uploaded into ORACLE and the McMurdo database. ADAPS was deprecated in 2012 in favor of the software Aquarius
ONYX_LWRIGHT_HYDRO Onyx River at Lower Wright mcmlter-strm-onyx_lwright-15min-20210106.csv 14433462 1 1 \n column , " https://mcm.lternet.edu/sites/default/files/data/mcmlter-strm-onyx_lwright-15min-20210106.csv 1972-12-04 2020-01-22 DATASET_CODE Dataset code Code representing discrete stream gauge measurements dataset string Code representing discrete stream gauge measurements dataset STRMGAGEID stream gage id Code representing stream gauge string Code representing stream gauge DATE_TIME Date/time Date/time of sample (McMurdo time) date MM/DD/YYYY HH24:MM DISCHARGE RATE Discharge Rate Stream discharge litersPerSecond 0.01 real Null None given DIS_COMMENTS Discharge Quality Estimated accuracy of discharge (good=most accurate within 10%, fair=most data accurate within 25%, poor=significant amounts of data may be >25% off) string Estimated accuracy of discharge (good=most accurate within 10%, fair=most data accurate within 25%, poor=significant amounts of data may be >25% off) COMMENTS Comments Comments about the overall data string Comments about the overall data WATER_TEMP Water Temperature Water Temperature celsius 0.1 real Null None given WATER_TEMP_QUALITY Water Temperature Quality Estimated accuracy of water temperature (good=most accurate within 10%, fair=most data accurate within 25%, poor=significant amounts of data may be >25% off) string Estimated accuracy of water temperature (good=most accurate within 10%, fair=most data accurate within 25%, poor=significant amounts of data may be >25% off) CONDUCTIVITY Conductivity The electrical conductivity in microSiemens/cm of a 1:5 soil:deionized water solution. microSiemens/cm real Null None given CONDUCTIVITY_QUALITY Conductivity Quality Estimated accuracy of conductivity (good=most accurate within 10%, fair=most data accurate within 25%, poor=significant amounts of data may be >25% off) string Estimated accuracy of conductivity (good=most accurate within 10%, fair=most data accurate within 25%, poor=significant amounts of data may be >25% off)