Caluwaerts, Steven

De Troch, Rozemien

Duchêne, François

Hamdi, Rafiq

Termonia, Piet

Van Schaeybroeck, Bert

English

Ghent University Academic Bibliography

Geophysical Research AbstractsVol. 21, EGU2019-7258, 2019EGU General Assembly 2019© Author(s) 2019. CC Attribution 4.0 license.A statistical-dynamical approach to downscale regional climate data to thecity levelFrançois Duchêne (1), Steven Caluwaerts (2), Rozemien De Troch (1), Rafiq Hamdi (1), Piet Termonia (1,2), andBert Van Schaeybroeck (1)(1) Royal Meteorological Institute of Belgium, Research and development, Brussels, Belgium, (2) Ghent University,Department of Geography, Ghent, BelgiumThere is a strong demand for climate services at the city level concerning the impact of climate change on the urbanenvironment to devise adequate adaptation measures. URCLIM is a project that aims to provide such servicesbased on climate data from high-resolution simulations. However, atmospheric climate models typically featureresolutions of 10 to 150 km. Therefore, additional steps are required to translate these datasets to the city-scaleresolution (1-km). The URCLIM target is to produce urban climate time series using the CORDEX downscalingsimulations as input for the land use model (LSM). The CORDEX ensemble includes different models (global,regional) and scenarios that allow to sample uncertainty at 12 km. However, it has been shown that a realistictranslation from the 12 km scale to the city scale requires an additional downscaling step using an RCM coupledto a LSM (Hamdi et al., 2014). Unfortunately the computational costs of this step is enormous. Therefore aninnovative statistical method is developed that skips this expensive step by correcting the input of the LSM, basedon a limited set of climate simulations with two-way coupling. A validation of this method is presented that enables(relatively) cheap climate urban scenarios forced with a large set of RCM models to sample the uncertainty. TheALARO-0 is used as RCM and SURFEX-TEB as LSM, all forced with reanalysis ERA-Interim data over theBrussels Capital Region. Additionally different methods for the initialization of the LSM are tested. The newcorrection method is able to correct well heat-wave characteristics, the urban heat island and multivariate indicesof human comfort.

A statistical-dynamical approach to downscale regional climate data to the city level

https://biblio.ugent.be/publication/8652615/file/8652620

A statistical-dynamical approach to downscale regional climate data to the city level

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Ghent University Academic Bibliography