Abstract

Evaporation from fresh water and saline water is critical for the estimation of water budget in the Canadian Prairies. Predictive models using empirical field-based data are subject to significant errors and uncertainty. Therefore, highly controlled test conditions and accurately measured experimental data are required to understand the relationship between atmospheric variables at water surfaces. This paper provides a comprehensive dataset generated for the determination of evaporative flux from distilled water and saturated brine using the bench-scale atmospheric simulator (BAS) and the subsequently improved design (BAS2). Analyses of the weather scenarios from atmospheric parameters and evaporative flux from the experimental data are provided.

Highlights

  • Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations

  • The Canadian Prairies experience the highest annual water yield variability in the country owing to an inland physiographic climate and a glacial geomorphology [1]

  • The regional climate is characterized by windy, dry, warm, and sunny conditions [2]

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Summary

Summary

The Canadian Prairies experience the highest annual water yield variability in the country owing to an inland physiographic climate and a glacial geomorphology [1]. The terrain is generally flat, containing interconnected shallow lakes originating from melting waters during the glacial retreat [3]. These unique features result in high evaporation rates from waterbodies, thereby reducing the volume of surface water for municipal, agricultural, and industrial uses [4]. To understand the relationship between atmospheric variables at water surfaces, highly controlled test conditions and accurately measured experimental data are required. The generated datasets are critical for developing a comprehensive understanding of the effects of atmospheric parameters on the rate of evaporation under laboratory conditions. The methodology section provides a description of the weather scenario development, sample preparation and equipment operations, and Equations required to calculate the relevant parameters for evaporation estimation

Data Description
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