Impact of correcting sub-daily climate model biases for hydrological studies
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Published:2022-03-23
Issue:6
Volume:26
Page:1545-1563
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ISSN:1607-7938
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Container-title:Hydrology and Earth System Sciences
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language:en
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Short-container-title:Hydrol. Earth Syst. Sci.
Author:
Faghih Mina,Brissette François,Sabeti Parham
Abstract
Abstract. The study of climate change impact on water resources has accelerated worldwide over the past 2 decades. An important component of such studies is the bias-correction step, which accounts for spatiotemporal biases present in climate model outputs over a reference period, and which allows for realistic streamflow simulations using future climate scenarios. Most of the literature on bias correction focuses on daily scale climate model
temporal resolution. However, a large amount of regional and global climate simulations are becoming increasingly available at the sub-daily time
step, and even extend to the hourly scale, with convection-permitting models exploring sub-hourly time resolution. Recent studies have shown that
the diurnal cycle of variables simulated by climate models is also biased, which raises issues respecting the necessity (or not) of correcting such
biases prior to generating streamflows at the sub-daily timescale. This paper investigates the impact of bias-correcting the diurnal cycle of
climate model outputs on the computation of streamflow over 133 small to large North American catchments. A standard hydrological modeling chain was
set up using the temperature and precipitation outputs from a high spatial (0.11∘) and temporal (1 h) regional climate model large
ensemble (ClimEx-LE). Two bias-corrected time series were generated using a multivariate quantile mapping method, with and without correction of the
diurnal cycles of temperature and precipitation. The impact of this correction was evaluated on three small (< 500 km2), medium (between 500 and 1000 km2), and large (> 1000 km2) surface area catchment size classes. Results show relatively small (3 % to 5 %) but systematic decreases in the relative error of most simulated flow quantiles when bias-correcting the diurnal cycle of precipitation and temperature. There was a clear relationship with catchment size, with improvements being most noticeable for the small catchments. The diurnal cycle correction allowed for hydrological simulations to accurately represent the diurnal cycle of summer streamflow in small catchments. Bias-correcting the diurnal cycle of precipitation and temperature is therefore recommended when conducting impact studies at the sub-daily timescale on small catchments.
Funder
Ministère de l'Économie, de l’Innovation et des Exportations du Québec
Publisher
Copernicus GmbH
Subject
General Earth and Planetary Sciences,General Engineering,General Environmental Science
Reference100 articles.
1. Ajaaj, A. A., Mishra, A. K., and Khan, A. A.:
Comparison of BIAS correction techniques for GPCC rainfall data in semi-arid climate,
Stoch. Env. Res. Risk A.,
30, 1659–1675, https://doi.org/10.1007/s00477-015-1155-9, 2016. 2. Alfieri, L., Burek, P., Feyen, L., and Forzieri, G.: Global warming increases the frequency of river floods in Europe, Hydrol. Earth Syst. Sci., 19, 2247–2260, https://doi.org/10.5194/hess-19-2247-2015, 2015. 3. Angulo-Martínez, M., Beguería, S., Latorre, B., and Fernández-Raga, M.: Comparison of precipitation measurements by OTT Parsivel2 and Thies LPM optical disdrometers, Hydrol. Earth Syst. Sci., 22, 2811–2837, https://doi.org/10.5194/hess-22-2811-2018, 2018. 4. Arora, V., Scinocca, J., Boer, G., Christian, J., Denman, K., Flato, G., Kharin, V., Lee, W., and Merryfield, W.: Carbon emission limits required to satisfy future representative concentration pathways of greenhouse gases,
Geophys. Res. Lett., 38, L05805, https://doi.org/10.1029/2010GL046270, 2011. 5. Arsenault, R., Poulin, A., Côté, P., and Brissette, F.:
Comparison of stochastic optimization algorithms in hydrological model calibration,
J. Hydrol. Eng.,
19, 1374–1384, https://doi.org/10.1061/(ASCE)HE.1943-5584.0000938, 2014.
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