Michael N. Gooseff 2021-04-29 tabular digitial data McMurdo Dry Valleys LTER McMurdo Dry Valleys LTER 10.6073/pasta/a8c7cd5846a3d96afff44ec36216c803 https://mcm.lternet.edu/content/daily-summarized-seasonal-measurements-discharge-water-temperature-and-specific-conductiv-16 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 daily summaries derived from 15-minute measurements of water quality and quantity parameters measured with automatic recording devices on streams in this region. Specifically, this metadata record describes the daily hydrological summaries for the McMurdo Dry Valleys' Miers Stream at the M2 streamgage, located in Miers Valley. Measurements commenced during the 2014-15 austral summer. This dataset extends through the first half of the 2022-23 field season. 2014-12-06 2023-02-01 ground condition As needed This is the gage for the Miers stream at the site M2, below the Lake Miers. LTER Stream gage.Provenance: Desgnated in 2015/16 season. Assigned credentials in DEIMS by email from Chris Jaros to Inigo San Gil 163.918368000000 163.918368000000 -78.099605000000 -78.099605000000 LTER Core Areas disturbance None <cntperp> <cntper>McMurdo Dry Valleys LTER Information Manager</cntper> </cntperp> <cntemail>im@mcmlter.org</cntemail> Name: Anna T. Wright Role: field technician Name: Renée F. Brown Role: data manager Name: Sam Beane Role: former field crew Not Applicable Not Applicable Field and/or Lab Methods 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. Since 2012, stream hydro data is processed using Aquarius software, but procedure is similar to past, when ADAPS was used (described in next paragraph). 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. 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. Since 2012, stream hydro data is processed using Aquarius software, but procedure is similar to past, when ADAPS was used (described in next paragraph). 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. unknown MIERS_HYDRO_DAILY Miers Stream at M2 (Daily) Stream Gage ID Code representing the stream gage The data provider Code representing the stream gage Date Date on which the measurements were made (New Zealand DST, +13 UTC) The data provider calendar date/time DD/MM/YYYY gregorian calendar Average Discharge Average daily stream discharge, measured in liters per second The data provider litersPerSecond STDDEV_DISCHARGE STDDEV_DISCHARGE The data provider STDDEV_DISCHARGE Minimum discharge Minimum daily discharge rate. The data provider litersPerSecond Maximum discharge Maximum daily discharge rate. The data provider litersPerSecond Number of discharge observations Number of discharge observations per day. The data provider Number of discharge observations per day. Total daily discharge Total daily stream discharge. The data provider litersPerSecond Average temperature Average daily water temperature in celsius. The data provider celsius Standard deviation for water temperature Standard deviation of daily water temperature. The data provider celsius Minimum temperature Minimum daily water temperature. The data provider celsius Maximum temperature Maximum daily water temperature. The data provider celsius Number of temperature observations Number of daily water temperature observations. The data provider Number of daily water temperature observations. Average conductivity Mean daily specific conductivity. The data provider microsiemensPerCentimeter Standard deviation of conductivity Standard deviation of daily specific conductivity. The data provider microsiemensPerCentimeter Minimum conductivity Minimum daily specific conductivity. The data provider microsiemensPerCentimeter Maximum conductivity Maximum daily specific conductivity. The data provider microsiemensPerCentimeter Number of conductivity observations Number of daily specific conductivity observations. The data provider Number of daily specific conductivity observations. McMurdo Dry Valleys LTER The data distributor shall not be liable for innacuracies in the content http 1 0 1 column , https://mcm.lternet.edu/sites/default/files/data/mcmlter-strm-m2_miers-daily-20240813_0.csv None 2021-04-29 2021-04-29 McMurdo Dry Valleys LTER http://mcmlter.org/ Biological Data Profile of the Content Standards for Digital Geospatial Metadata devised by the Federal Geographic Data Committee. Drupal Ecological information Management Systems, version D7, Biological Data Profile module