Preprints
https://doi.org/10.5194/essd-2021-423
https://doi.org/10.5194/essd-2021-423

  15 Dec 2021

15 Dec 2021

Review status: this preprint is currently under review for the journal ESSD.

Streamflow and weather conditions of seven small coastal watersheds, British Columbia, Canada, 2013–2019

Maartje C. Korver1,a, Emily Haughton1, William C. Floyd2,3, and Ian J. W. Giesbrecht1,4 Maartje C. Korver et al.
  • 1Hakai Institute, Tula Foundation, Heriot Bay BC, V0P 1H0, Canada
  • 2Ministry of Forests, Lands and Natural Resource Operations, Nanaimo BC, V9T 6E9, Canada
  • 3Vancouver Island University, Nanaimo BC, V9R 5S5, Canada
  • 4School of Resource and Environmental Management, Simon Fraser University, Burnaby BC, V5A 1S6, Canada
  • acurrent address: McGill University, Department of Geography, Montréal QC, H3A 0B9, Canada

Abstract. Hydrometeorological observations of small watersheds of the northeast Pacific coastal temperate rainforest (NPCTR) of North America are important to understand land to ocean ecological connections and to provide the scientific basis for regional environmental management decisions. The Hakai Institute operates a densely networked and long-term hydrometeorological monitoring observatory, that fills a spatial data gap in the remote and sparsely gauged outer coast of the NPCTR. Here we present the first five water years (October 2013–October 2019) of hourly streamflow and weather data from seven small (< 13 km2), coastal watersheds. Average yearly rainfall was 3267 mm, resulting in 2317 mm of runoff and 0.1087 km3 of freshwater exports from all seven watersheds per year. However, rainfall and runoff were highly variable depending on location and elevation. The seven watersheds have rainfall-dominated (pluvial) streamflow regimes, streamflow responses are rapid and most water exports are driven by high-intensity fall and winter storm events. Measuring rainfall and streamflow in remote and topographically complex rainforest environments is challenging, hence advanced and novel automated measurement methods were used. These methods, specifically for stream flow measurement allowed us to quantify uncertainty and identify key sources of error, which varied by gauging location. Links to the complete dataset, watershed delineations with metrics, and calculation scripts can be found in Sect. 6 and 7.

Maartje C. Korver et al.

Status: open (until 05 Mar 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2021-423', Anonymous Referee #1, 25 Jan 2022 reply

Maartje C. Korver et al.

Data sets

LiDAR-derived watersheds and their metrics for Calvert Island. Gonzalez Arriola, S., Frazer, G.W., and Giesbrecht, I. https://doi.org/10.21966/1.15311

High-resolution hydrometeorological data from seven small coastal watersheds, British Columbia, Canada, 2013-2019. Korver, M., Haughton, E., Floyd, B., and Giesbrecht, I. https://doi.org/10.21966/J99C-9C14

Model code and software

wx-tools Haughton, E. https://github.com/HakaiInstitute/wx-tools

RatingCurve Korver, M.C. https://github.com/HakaiInstitute/RatingCurve

Maartje C. Korver et al.

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Short summary
The central coastline of British Columbia contains many small streams that are important for the ecology of the region, but are sparsely monitored. Here we present the first five years (2013–2019) of streamflow and weather data from seven small streams, using novel automated methods with estimations of measurement uncertainties. These observations support regional climate change monitoring and provide a scientific basis for environmental management decisions.