Adams Weir Stream Gage Measurements, 1990-91

Summary

Abstract: 

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. These tables contain 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 Valley's Adams stream measurements in the 1990-91 season.

The Adams Stream data from 1990-91 was generated by the New Zealand ARP. Beginning January 2012, the MCMLTER established a new control downstream of the NZARP control.  To date, we have not had enough field data to justify a rating curve to offer the 2012 onwards quality controlled hydrological data, but we expect to be able to offer these data by the 2016-17 season

Date Range: 

January 1, 1990 to December 31, 1991
Data Citation
Mcknight, D.M. 2014. Adams Weir Stream Gage Measurements, 1990-91. Environmental Data Initiative. DOI: 10.6073/pasta/f19ac5c54272853c4aa25eb1297f5aff. Dataset accessed 27 April 2024.
Dataset(s)

Description: 

Adams Stream gage table units and column description

Variables (click to expand): 

DATASET_CODE
  • Label: Dataset code
  • Definition: Code representing discrete stream gage measurements dataset
  • Type: Nominal
  • Missing values: None specified
STRMGAGEID
  • Label: strmgageid
  • Definition: Code representing stream gage
  • Type: Nominal
  • Missing values: None specified
DATE_TIME
  • Label: Date/time
  • Definition: Date/time of sample (McMurdo time)
  • Type: Date/time
  • Date format: MM/DD/YYYY hh24:mi
  • Missing values: None specified
DISCHARGE RATE
  • Label: Discharge Rate
  • Definition: Stream discharge
  • Type: Physical quantity
  • Unit: litersPerSecond
  • Maximum: Not specified
  • Minimum: Not specified
  • Precision: 0.01
  • Missing values:
    • Null = None given

File: 

ADAMS_HYDRO.csv (147.33 KB)

Short name: 

ADAMS_HYDRO

Dataset ID: 

9001
People

Principal Investigator(s): 

Contact: