Preprints
https://doi.org/10.5194/essd-2017-57
https://doi.org/10.5194/essd-2017-57
30 Jun 2017
 | 30 Jun 2017
Status: this preprint has been withdrawn by the authors.

Long-term weather, hydrometric, and water chemistry datasets in high-temporal resolution at the La Salle River watershed in Manitoba, Canada

Marcos R. C. Cordeiro, Jason A. Vanrobaeys, and Henry F. Wilson

Abstract. Lack of long-term datasets in fine temporal resolution hinders environmental studies and modelling efforts; to address this issue in the La Salle River watershed, in Canada, long-term weather (1990–2013), hydrometric (1990–2013 except years with no or poor data), and water chemistry (2009–2013) datasets were developed. The weather variables consisted of temperature, relative humidity, wind speed, solar radiation, and precipitation in an hourly time-step, which is required for physically-based modelling. The only hydrometric variable included in the dataset was stream discharge in a daily time-step, which is the usual time-frame for summarizing the results of long-term studies. The water chemistry data consisted of total nitrogen (TN), total dissolved nitrogen (TDN), total phosphorus (TP) and total dissolved phosphorus (TDP). Samples were collected weekly during the open water season at the same site as they hydrometric gauging station (05OG008) starting in August 2009 until October 2012 with some gaps (i.e. Fall 2011, Spring 2012, September 2012). In 2013 the frequency of sampling was increased to daily or sub-daily during high stream discharge and weekly during low stream discharge. An overview of the data indicates that values and trends are within ranges reported in the literature for the region. Mean annual, winter, and summer temperatures were 3.5 °C–10.7 °C and 17.2 °C, respectively. Annual relative humidity averaged 73.1 % but tended to be higher and more homogenous in cold seasons. Wind speed was very similar over the different seasons with annual average of 4.3 m/s. Solar radiation followed the typical curve reported for western Canada, with peak daily average values around 250 W/m2 in July. The precipitation records were mostly comprised of dry hours and the characteristic precipitation pattern of the Canadian Prairies with high frequency of small precipitation events as observed, with 75.3 % of the hourly precipitation being equal or less than 2 mm/h. The hydrometric characteristics of the dataset were also typical of the Canadian Prairies; the average peak discharge over the entire period was larger in April (2.3 m3/s) due to large amounts of snowmelt runoff. The average concentrations of TN, TDN, TP and TDP of 1.54, 1.35, 0.56, and 0.49 mg/L, respectively, were in agreement with values found in previous studies at the same location. The datasets for weather (https://doi.org/10.23684/ODI-2017-00957), discharge (https://doi.org/10.23684/ODI-2017-00959) and water chemistry (https://doi.org/10.23684/ODI-2017-00958) are accessible through the Government of Canada's Open Data portal (http://open.canada.ca).

This preprint has been withdrawn.

Marcos R. C. Cordeiro, Jason A. Vanrobaeys, and Henry F. Wilson

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Marcos R. C. Cordeiro, Jason A. Vanrobaeys, and Henry F. Wilson

Data sets

La Salle River Watershed 05OG008 Hourly Weather 1990 to 2013 M. R. C. Cordeiro, J. A. Vanrobaeys, and H. F. Wilson https://doi.org/10.23684/ODI-2017-00957

La Salle River Near Elie 05OG008 Daily Discharge 1990 – 2013 M. R. C. Cordeiro, J. A. Vanrobaeys, and H. F. Wilson https://doi.org/10.23684/ODI-2017-00959

La Salle River 05OG008 Water Chemistry 2009 – 2015 M. R. C. Cordeiro, J. A. Vanrobaeys, and H. F. Wilson https://doi.org/10.23684/ODI-2017-00958

Marcos R. C. Cordeiro, Jason A. Vanrobaeys, and Henry F. Wilson

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This preprint has been withdrawn.

Short summary
The research, conducted in Manitoba, Canada, involved the development of datasets for hydrological modelling applications. The datasets included weather, hydrometric and water chemistry variables required to run models at an hourly time-step and assess their predictive performance for stream flow and water quality. The data and methods developed will be useful for other hydrological assessments and modelling studies in this region and in similar landscapes and climates around the world.
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