Validación de los Modelos de Circulación General para la aplicación de la técnica Pseudo-Global Warming (PGW) en la Península Ibérica

• Donaire-Montaño, David ^[1] ; Cepeda-Ventura, Luna ^[1] ; García-Valdecasas Ojeda, Matilde ^[2] ; Castrodíez, Yolanda ^[2] ; Esteban-Parra, María Jesús ^[2] ; Gámiz-Fortis, Sonia Raquel ^[2]
  1. [1] Universidad de Granada

     Universidad de Granada

     Granada, España

     
  2. [2] Departamento de Física Aplicada, Universidad de Granada, Granada; Instituto Interuniversitario De Investigación Del Sistema Tierra En Andalucía (IISTA-CEAMA), Granada.
• Localización: 10.ª Asamblea Hispano-Portuguesa de Geodesia y Geofísica: artículos, 2023, ISBN 978-84-416-7540-7, págs. 797-804
• Idioma: español
• Títulos paralelos:
  • General Circulation Models validation for the Pseudo-Global Warming (PGW) application over the Iberian Peninsula
• Enlaces
  • Texto Completo Libro
• Resumen

  • In order to obtain information about the evolution of climate variables at regional scale, the downscaling method is carried out by using Regional Climate Models (RCMs). It increases the data spatial resolution from the Global Climate Models (GCMs) output data, which present low spatial resolutions, managing to generate climate simulations with spatial resolutions below to 10 km. For it, the GCM outputs are used as boundary conditions in the regional model. Furthermore, PseudoGlobal Warming method (PGW) appears as a simulation strategy in the regional climate modeling, with the aim of decreasing computational costs, improving the flexibility of simulations and avoiding certain GCM bias, especially at regional scales. Basically, this method consists in coupling differences between future and present climate given by GCMs with boundary conditions given by reanalysis data. In this sense, in order to use the PWG method in the climate change downscaled projections over the Iberian Peninsula, it is important to evaluate the skill of GCMs for the representation of the most important climate aspects in the study area. In this work this evaluation is carried out from the available CMIP6 GCMs by applying different statistical technics. In the first part, the ability of the different GCMs for simulating the North Atlantic Oscillation pattern is considered by applying a Principal Component Analysis (PCA) to sea level pressure (SLP) winter data for the period 1960-2014. In the second part, differences in the SLP averaged field over the North Atlantic region between the 24 CMIP6 GCM outputs and the observations were analyzed. The results of these analyses showed a good agreement of every GCM for the SLP, therefore all them could be part of an ensemble for the subsequent PGW application.

• Referencias bibliográficas
  • Amblar, M. P., Casado Calle, M. J., Pastor Saavedra, M. A., Ramos Calzado, P., & Rodríguez Camino, E. (2017). Guía de escenarios regionalizados...
  • Brogli, R., Kröner, N., Sørland, S. L., Lüthi, D., & Schär, C. (2019). The role of hadley circulation and lapse-rate changes for the future...
  • Busuioc, A., Chen, D., & Hellström, C. (2001). Performance of statistical downscaling models in GCM validation and regional climate change...
  • Chen, J., Wang, Z., Tam, C. Y., Lau, N. C., Lau, D. S. D., & Mok, H. Y. (2020). Impacts of climate change on tropical cyclones and induced...
  • Coupled Model Intercomparison Project Phase 6 (CMIP6), https://esgf-node.llnl.gov/projects/cmip6/.
  • Gbode, I. E., Ogunjobi, K. O., Dudhia, J., Ajayi, V. O., & Liu, C. (2021). Impacts of global warming on West African monsoon rainfall:...
  • Huth, R. (2000). A circulation classification scheme applicable in GCM studies. Theoretical and applied climatology, 67(1), 1-18.
  • Met Office Hadley Center (MOHC), https://www.metoffice.gov.uk/hadobs/hadslp2/.
  • Miao, C., Su, L., Sun, Q., & Duan, Q. (2016). A nonstationary bias‐correction technique to remove bias in GCM simulations. Journal of...
  • Michaelis, A. C., Lackmann, G. M., & Robinson, W. A. (2019). Evaluation of a unique approach to high-resolution climate modeling using...
  • Kimura, F., & Kitoh, A. (2007). Downscaling by pseudo global warming method. The Final Report of ICCAP, 4346, 463-478.
  • Nakamura, R., & Mäll, M. (2021). Pseudo Global Warming Sensitivity Experiments of Subtropical Cyclone Anita (2010) Under RCP 8.5 Scenario....
  • Romero, I. G. D. I. A. R., García-González, D. L., Aparicio-Ruiz, R., & Morales, M. T. (2015). Validation of SPME–GCMS method for the...
  • Satoh, M. (2004). Atmospheric circulation dynamics and circulation models. Springer Science & Business Media.
  • Schär, C., Frei, C., Lüthi, D., & Davies, H. C. (1996). Surrogate climate‐change scenarios for regional climate models. Geophysical Research...
  • Taniguchi, K. (2016). Future changes in precipitation and water resources for Kanto Region in Japan after application of pseudo global warming...
  • Palatella, L., Miglietta, M. M., Paradisi, P., & Lionello, P. (2010). Climate change assessment for Mediterranean agricultural areas by...
  • Palutikof, J. P., Winkler, J. A., Goodess, C. M., & Andresen, J. A. (1997). The simulation of daily temperature time series from GCM output....
  • Wilby, R. L., Wigley, T. M. L., Conway, D., Jones, P. D., Hewitson, B. C., Main, J., & Wilks, D. S. (1998). Statistical downscaling of...
  • Wigley, T. M. L., & Santer, B. D. (1990). Statistical comparison of spatial fields in model validation, perturbation, and predictability...