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3. A new spatially distributed added value index for regional climate models: the EURO-CORDEX and the CORDEX-CORE highest resolution ensembles

Author

Ciarlo`, James M., Coppola, Erika, Fantini, Adriano, Giorgi, Filippo, Gao, XueJie, Tong, Yao, Glazer, Russell H., Torres Alavez, Jose Abraham, Sines, Taleena, Pichelli, Emanuela, Raffaele, Francesca, Das, Sushant, Bukovsky, Melissa, Ashfaq, Moetasim, Im, Eun-Soon, Nguyen-Xuan, Thanh, Teichmann, Claas, Remedio, Armelle, Remke, Thomas, Bülow, Katharina, Weber, Torsten, Buntemeyer, Lars, Sieck, Kevin, Rechid, Diana, and Jacob, Daniela more...

Published
2021
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4. Assessing mean climate change signals in the global CORDEX-CORE ensemble

Author

Teichmann, Claas, Jacob, Daniela, Remedio, Armelle Reca, Remke, Thomas, Buntemeyer, Lars, Hoffmann, Peter, Kriegsmann, Arne, Lierhammer, Ludwig, Bülow, Katharina, Weber, Torsten, Sieck, Kevin, Rechid, Diana, Langendijk, Gaby S., Coppola, Erika, Giorgi, Filippo, Ciarlo`, James M., Raffaele, Francesca, Giuliani, Graziano, Xuejie, Gao, Sines, Taleena Rae, Torres-Alavez, Jose Abraham, Das, Sushant, Di Sante, Fabio, Pichelli, Emanuela, Glazer, Russel, Ashfaq, Moetasim, Bukovsky, Melissa, and Im, Eun-Soon more...

Published
2021
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5. Climate hazard indices projections based on CORDEX-CORE, CMIP5 and CMIP6 ensemble

Author

Coppola, Erika, Raffaele, Francesca, Giorgi, Filippo, Giuliani, Graziano, Xuejie, Gao, Ciarlo, James M., Sines, Taleena Rae, Torres-Alavez, José Abraham, Das, Sushant, di Sante, Fabio, Pichelli, Emanuela, Glazer, Russell, Müller, Sebastian Karl, Abba Omar, Sabina, Ashfaq, Moetasim, Bukovsky, Melissa, Im, E.-S., Jacob, Daniela, Teichmann, Claas, Remedio, Armelle, Remke, Thomas, Kriegsmann, Arne, Bülow, Katharina, Weber, Torsten, Buntemeyer, Lars, Sieck, Kevin, and Rechid, Diana more...

Published
2021
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7. A new spatially distributed added value index for regional climate models: the EURO-CORDEX and the CORDEX-CORE highest resolution ensembles.

Author

Ciarlo', James M., Coppola, Erika, Fantini, Adriano, Giorgi, Filippo, Gao, XueJie, Tong, Yao, Glazer, Russell H., Torres Alavez, Jose Abraham, Sines, Taleena, Pichelli, Emanuela, Raffaele, Francesca, Das, Sushant, Bukovsky, Melissa, Ashfaq, Moetasim, Im, Eun-Soon, Nguyen-Xuan, Thanh, Teichmann, Claas, Remedio, Armelle, Remke, Thomas, and Bülow, Katharina more...

Subjects
ATMOSPHERIC models, GENERAL circulation model, PROBABILITY density function, PROBABILITY measures, DOWNSCALING (Climatology)
Abstract

The added value of using regional climate models (RCMs) to downscale data from general circulation models (GCMs) has often been questioned and researched. Although several studies have used different methods to identify (and in some cases quantify) the added value, there is still a need to find a general metric that quantifies the added value of any variable. This paper builds on past studies to propose a new metric of added value in the simulation of present-day climate which measures the difference in the probability density functions (PDFs) at each grid-cell between a model and an observation source, and then compares the results of the RCM and GCM in order to spatially compute the added value index. The same method is also adapted to quantify the climate change downscaling signal in a way that is consistent with the present-day metric. These new metrics are tested on the daily precipitation output from the EURO-CORDEX and CORDEX-CORE projection ensembles and reveal an overall positive added value of RCMs, especially at the tail-end of the distribution. Higher added value is obtained in areas of complex topography and coast-lines, as well as in tropical regions. Areas with large added value in present-day climate are consistent with areas of significant climate change downscaling signal in the RCP 8.5 far future simulations, and when the analysis is repeated at a low-resolution. The use of different resolution observations shows that the added value tends to decrease when models are compared to low-resolution observation datasets. [ABSTRACT FROM AUTHOR] more...

Published
2021
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