Predicting daily stream temperature in British Columbia, Canada, using reanalysis air temperature in statistical models and the hybrid air2stream model
department or school: Arts, Faculty of
department or school: Geography, Department of
data provider: DSpace
degree campus: UBCV
creator: Callahan, Lilianne
issued: 2023-08-31T17:22:24Z
issued: 2023
related degree: Master of Science - MSc
degree grantor: University of British Columbia
description: As air temperature and precipitation patterns change globally, so too will stream thermal regimes which affect water quality and habitat suitability for aquatic life. Models are used to understand past and future stream temperatures and the primary processes that control them. Since water temperature is highly correlated with air temperature, this research investigates the use of reanalysis air temperature data from ECMWF Reanalysis v5 (ERA5) and North American Regional Reanalysis (NARR) as input in three different types of statistical models of stream temperature. ERA5 overall had the best performance, so it was then used as input in the hybrid air2stream model to test how well the model simulates stream temperatures for 23 streams in British Columbia, Canada, during the extreme conditions of a heat wave and a drought. The air2stream model had an average RMSE of 0.96 °C during the calibration period and 1.06 °C during the validation period. During the heat wave from June 25 to July 2, 2021, the average RMSE was 1.39 °C, and during the autumn drought from September 1 to October 31, 2022, the average RMSE was 1.08 °C. The model results indicate general accuracy with higher errors during anomalous conditions.
aggregated CHO: https://circle.library.ubc.ca/rest/handle/2429/85725
note: Predicting daily stream temperature in British Columbia,Canada, using reanalysis air temperature in statisticalmodels and the hybrid air2stream modelbyLilianne CallahanB.Sc., University of California, Santa Cruz, 2021A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THEREQUIREMENTS FOR THE DEGREE OFMASTER OF SCIENCEinTHE FACULTY OF GRADUATE AND POSTDOCTORAL STUDIES(Geography)THE UNIVERSITY OF BRITISH COLUMBIA(Vancouver)August 2023© Lilianne Callahan, 2023The following individuals certify that they have read, and recommend to the Faculty ofGraduate and Postdoctoral Studies for acceptance, the thesis entitled:Predicting daily stream temperature in British Columbia, Canada usingreanalysis air temperature in statistical models and the hybrid air2stream modelsubmitted by Lilianne Callahan in partial fulfillment of the requirements forthe degree of Master of Sciencein GeographyExamining Committee:Robert Daniel Moore, Professor, Geography, UBCSupervisorIan McKendry, Professor, Geography, UBCSupervisory Committee MemberSteven Weijs, Associate Professor, Civil Engineering, UBCAdditional ExamineriiAbstractAs air temperature and precipitation patterns change globally, so too will stream thermalregimes which affect water quality and habitat suitability for aquatic life. Models areused to understand past and future stream temperatures and the primary processes thatcontrol them. Since water temperature is highly correlated with air temperature, thisresearch investigates the use of reanalysis air temperature data from ECMWF Reanalysisv5 (ERA5) and North American Regional Reanalysis (NARR) as input in three differenttypes of statistical models of stream temperature. ERA5 overall had the best performance,so it was then used as input in the hybrid air2stream model to test how well the modelsimulates stream temperatures for 23 streams in British Columbia, Canada, during theextreme conditions of a heat wave and a drought. The air2stream model had an averageRMSE of 0.96 oC during the calibra…
has type: Thesis/Dissertation
date issued: 2023-11
is shown at: 10.14288/1.0435697
language: eng
degree discipline: Geography
provider: Vancouver : University of British Columbia Library
publisher: University of British Columbia
rights: Attribution-NonCommercial-NoDerivatives 4.0 International
rights URI: http://creativecommons.org/licenses/by-nc-nd/4.0/
scholar level: Graduate
contributor: Moore, R. Daniel
type: Text
identifier URI: http://hdl.handle.net/2429/85725