Daley, R.: Atmospheric data Analysis, Cambridge University Press, Cambridge,
UK, 457 pp., 1991.
Frei, C. and Schar, C.: A precipitation climatology of the Alps from high-resolution rain-gauge observations, Int. J. Climatol., 18, 873–900, https://doi.org/10.1029/98GL51099, 1998.
García-Ruiz, J. M., Beguería, S., López-Moreno, J. I., Lorente, A., and Seeger, M.: Los recursos hídricos superficiales del Pirineo aragonés y su evolución reciente, Geoforma Ediciones, Logroño, 192 pp., 2001.
Giorgetta, M. A., Jungclaus, J., Reick, C. H., Legutke, S., Bader, J., Böttinger, M., Brovkin, V., Crueger, T., Esch, M., Fieg, K., Glushak, K., Gayler, V., Haak, H., Hollweg, H.-D., Ilyina, T., Kinne, S., Kornblueh, L., Matei, D., Mauritsen, T., Mikolajewicz, U., Mueller, W., Notz, D., Pithan, F., Raddatz, T., Rast, S., Redler, R., Roeckner, E., Schmidt, H., Schnur, R., Segschneider, J., Six, K. D., Stockhause, M., Timmreck, C., Wegner, J., Widmann, H., Wieners, K.-H., Claussen, M., Marotzke, J., and Stevens, B.: Climate and carbon cycle changes from 1850 to 2100 in MPI-ESM simulations for the Coupled Model Intercomparison Project phase 5, J. Adv. Model. Earth Syst., 5, 572–597, https://doi.org/10.1002/jame.20038, 2013.
Giorgi, F., Hewitson, B., Arritt, R., Gutowski, W., Knutson, T., and Landsea, C.: Regional Climate Information-Evaluation and Projections, in: Geological and Atmospheric Sciences Publications, 110, available at:
https://lib.dr.iastate.edu/ge_at_pubs/110 (last access: 26 September 2020), 2001.
Giorgi, F. and Coppola, E.: Projections of twenty-first century climate
over Europe, Eur. Phys. J. Conf., 1, 29–46, https://doi.org/10.1140/epjconf/e2009-00908-9, 2009.
Gordon, H. B., Rotstayn, L. D., McGregor, J. L., Dix, M. R., Kowalczyk, E. A., O'Farrell, S. P., Waterman, L. J., Hirst, A. C., Wilson, S. G., Collier, M. A., Watterson, I. G., and Elliott, T. I.: The CSIRO Mk3 climate system model, CSIRO Atmospheric Research Technical Paper No. 60, CSIRO, Australia, 2002.
Gutiérrez, J. M., Maraun, D., Widman, M., Huth, R., Hertig, E., Benestad,
R., Roessler, O., Wibig, J., Wilcke, R., Kotlarski, S., San Martin, D., Herrera, S., Bedia, J., Casanueva, A., Manzanas, R., Iturbide, M., Vrac, M.,
Dubrovsky, Ribalaygua, J., Portoles, J., Raty, O., Raisanen, J., Hingray, B., Raynaud, D., Casado, M. J., Ramos, P., Zerenner, T., Turco, M., Bosshard, T., Stepanek, P., Bartholy, J., Pongracz, R., Keller, D. E., Fischer, A. M.,
Cardoso, R. M., Soares, P. M. M., Czernecki, B., and Page, C.: An intercomparison of a large ensemble of statistical downscaling methods over
Europe: Results from the VALUE perfect predictor cross-validation experiment, Int. J. Climatol., 39, 3750–3785, https://doi.org/10.1002/joc.5462, 2019.
Hertig, E., Maraun, D., Bartholy, J., Pongracz, R., Vrac, M., Mares, I.,
Gutiérrez, J. M., Wibig, J., Casanueva, A., and Soares, P. M. M.: Comparison of statistical downscaling methods with respect to extreme events
over Europe: Validation results from the perfect predictor experiment of the
COST Action VALUE, Int. J. Climatol., 39, 3846–3867, https://doi.org/10.1002/joc.5469, 2019.
IPCC: Technical Summary, in: IPCC Special Report on the Ocean and Cryosphere in a Changing Climate, edited by: Pörtner, H.-O., Roberts, D. C., Masson-Delmotte, V., Zhai, P., Poloczanska, E., Mintenbeck, K., Tignor, M., Alegría, A., Nicolai, M., Okem, A., Petzold, J., Rama, B., and Weyer, N. M.
, available at:
https://www.ipcc.ch/site/assets/uploads/sites/3/2019/11/04_SROCC_TS_FINAL.pdf
(last access: 26 September 2020), 2019.
Ji, D., Wang, L., Feng, J., Wu, Q., Cheng, H., Zhang, Q., Yang, J., Dong, W., Dai, Y., Gong, D., Zhang, R. H., Wang, X., Liu, J., Moore, J. C., Chen, D., and Zhou, M.: Description and basic evaluation of Beijing Normal University Earth system model (BNU-ESM) version 1, Geosci. Model Dev., 7, 2039–2064, https://doi.org/10.5194/gmd-7-2039-2014, 2014.
Kirtman, B., Power, S. B., Adedoyin, J. A., Boer, G. J., Bojariu, R., Camilloni, I., Doblas-Reyes, F. J., Fiore, A. M., Kimoto, M., Meehl, G. A., Prather, M., Sarr, A., Schär, C., Sutton, R., van Oldenborgh, G. J., Vecchi, G., and Wang, H. J.: Near-term Climate Change: Projections and Predictability, in: Climate Change 2013: The Physical Science Basis, Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, 2013.
Kitoh, A., Ose, T., and Takayabu, I.: Dynamical downscaling for climate
projection with high-resolution MRI AGCM-RCM, J. Meteorol. Soc. Jpn. A, 94,
1–16, https://doi.org/10.2151/jmsj.2015-022, 2016.
Landelius, T., Dahlgren, P., Gollvik, S., Jansson, A., and Olsson, E.: A
high-resolution regional reanalysis for Europe. Part 2: 2D analysis of surface temperature, precipitation and wind, Q. J. Roy. Meteorol. Soc., 142,
2132–2142, https://doi.org/10.1002/qj.2813, 2016.
Liebmann, B. and Allured, D.: Daily Precipitation Grids for South America,
B. Am. Meteorol. Soc., 86, 1567–1570, https://doi.org/10.1175/BAMS-86-11-1567, 2005.
López-Moreno, J. I., Vicente-Serrano, S. M., Angulo-Martínez, S M.,
Beguería, S., and El Kenawy, A.: Trends in daily precipitation on the
northeastern Iberian Peninsula, 1955–2006, Int. J. Climatol., 30, 1026–1041, https://doi.org/10.1002/joc.1945, 2010.
Maraun, D. and Widmann, M.: Statistical Downscaling and Bias Correction for
Climate Research, Cambridge University Press, Cambridge, ISBN 978-1-107-06605-2, https://doi.org/10.1017/9781107588783, 2018.
Maraun, D., Huth, R., Gutiérrez, J. M., Martín, D. S., Dubrovsky, M., Fischer, A., Widmann, M., Casado, M. J., Ramos, P., and Bedia, J.: The VALUE perfect predictor experiment: evaluation of temporal variability, Int. J. Climatol., 39, 3786–3818, 2019.
Maurer, E. P. and Hidalgo, H. G.: Utility of daily vs. monthly large-scale climate data: an intercomparison of two statistical downscaling methods, Hydrol. Earth Syst. Sci., 12, 551–563, https://doi.org/10.5194/hess-12-551-2008, 2008.
Miralles, D. G., Gentine, P., Seneviratne, S. I., and Teuling, A. J.:
Land–atmospheric feedbacks during droughts and heatwaves: state of the
science and current challenges, Ann. NY Acad. Sci., 1436, 19–35, https://doi.org/10.1111/nyas.13912, 2019.
Navascués, B., Rodríguez, E., Ayuso, J. J., and Järvenoja, S.:
Analysis of surface variables and parameterization of surface processes in
HIRLAM. Part II: Seasonal assimilation experiment, HIRLAM Technical Report 59, SMHI, Norrköping, Sweden, 2003.
Nogués-Bravo, D., Bastos-Araujo, M., Lasanta, T., and López-Moreno,
I.: Climate Change in Mediterranean Mountains during the 21st Century, Ambio, 37, 280-5, 2008.
Peña, J. L. and Lozano, M. V.: Las unidades del relieve aragonés, available at:
http://age.ieg.csic.es/fisica/docs/002.pdf (last access: 26 September 2020), 2004.
Peral, C., Navascués, B., and Ramos, P.: Serie de precipitación
diaria en rejilla con fines climáticos, Nota Técnica no. 24, AEMET, available at:
http://www.aemet.es/documentos/es/conocermas/recursos_en_linea/publicaciones_y_estudios/publicaciones/NT_24_AEMET/NT_24_AEMET.pdf
(last access: 26 September 2020), 2017.
Perry, M. and Hollis, D.: The development of a new set of longterm climate
averages for the UK, Int. J. Climatol., 25, 1023–1039, 2005.
Petisco de Lara, S. E.: Método de regionalización de precipitación basado en análogos, Explicación y Validación,
Nota Técnica 3A, Área de Evaluación y Modelización del
Cambio Climático, AEMET, Madrid, 2008.
Rico, I., Izagirre, E., Serrano, E., and López-Moreno, J. I.: Current
glacier area in the Pyrenees: an updated assessment 2016, Pirineos, 172, e029, https://doi.org/10.3989/Pirineos.2017.172004, 2017.
Rodríguez, E., Navascués, B., Ayuso, J. J., and Järvenoja, S.:
Analysis of surface variables and parameterization of surface processes in
HIRLAM. Part I: Approach and verification by parallel runs, HIRLAM Technical
Report 58, SMHI, Norrköping, Sweden, 2003.
Rummukainen, M.: State-of-the-art with Regional Climate Models, Wiley Interdisciplin. Rev.: Clim. Change, 1, 82–96, 2010.
Scoccimarro, E., Gualdi, S., Bellucci, A., Sanna, A., Fogli, P. G., Manzini, E., Vichi, M., Oddo, P., and Navarra, A.: Effects of Tropical Cyclones on Ocean Heat Transport in a High Resolutio
n Coupled General Circulation Model, J. Climate, 24, 4368–4384, 2011.
Smid, M. and Costa, A. C.: Climate projections and downscaling techniques: a discussion for impact studies in urban systems, Int. J. Urban Sci., 22, 277–307, 2018
Soares, P. M., Maraun, D., Brands, S., Jury, M. W., Gutiérrez, J. M.,
San-Martín, D., Hertig, E., Huth, R., Vozila, A. B., Cardoso, R. M.,
Kotlarski, S., Dobrinski, P., and Obermann-Hellhund, A.: Process-based evaluation of the VALUE perfect predictor experiment of statistical downscaling methods, Int. J. Climatol., 39, 3868–3893, 2019
Stennet-Brown, R., Jones, J. J., Stephenson, T. S., and Taylor, M.: Future
Caribbean temperature and rainfall extremes from statistical downscaling:
Statistical Downscaling of Caribbean Temperature and Rainfall, Int. J. Climatol., 37, 4828–4845, https://doi.org/10.1002/joc.5126, 2017.
Takayabu, I., Kanamuru, H., Dairaku, K., Benestad, R., von Storch, H., and
Christensen, J. H.: Reconsidering the Quality and Utility of Downscaling,
J. Meteorol. Soc. Jpn. A, 94, 31–45, https://doi.org/10.2151/jmsj.2015-042, 2016.
Trzaska, S. and Schnarr, E.: A Review of Downscaling Methods for Climate
Change Projections: African and Latin American Resilience to Climate Change (ARCC), available at:
http://www.ciesin.org/documents/Downscaling_CLEARED_000.pdf (last access: 26 September 2020), 2014.
van den Besselaar, E. J. M., van der Schrier, G., Cornes, R., Iqbal, A. S.,
and Klein-Tank, A. M. G.: SA-OBS: A Daily Gridded Surface Temperature and
Precipitation Dataset for Southeast Asia, J. Climate, 30, 5151–5165,
https://doi.org/10.1175/JCLI-D-16-0575.1, 2017.
Watanabe, S., Hajima, T., Sudo, K., Nagashima, T., Takemura, T., Okajima, H., Nozawa, T., Kawase, H., Abe, M., Yokohata, T., Ise, T., Sato, H., Kato, E., Takata, K., Emori, S., and Kawamiya, M.: MIROC-ESM 2010: model description and basic results of CMIP5-20c3m experiments, Geosci. Model Dev., 4, 845–872, https://doi.org/10.5194/gmd-4-845-2011, 2011.
Weare, B. C., Cagnazzo, C., Fogli, P. G., Manzini, E., and Navarra, A.: Madden-Julian Oscillation in a climate model with a well-resolved stratosphere, J. Geophys. Res.-Atmos.,117, D01103, https://doi.org/10.1029/2011JD016247, 2012.
WEF – World Economic Forum: The Global Competitiveness Report 2018, 671 pp., available at:
http://www3.weforum.org/docs/GCR2018/05FullReport/WEF_TheGlobalCompetitivenessReport2018.pdf (last access: 26 September 2020), 2018.
WEF – World Economic Forum: The Global Competitiveness Report 2019, 666 pp., available at:
http://www3.weforum.org/docs/WEF_TheGlobalCompetitivenessReport2019.pdf (last access: 26 September 2020), 2019.
WEF – World Economic Forum: The Global Risks Report 2020, 102 pp., available at:
http://www3.weforum.org/docs/WEF_Global_Risk_Report_2020.pdf (last access: 26 September 2020), 2020.
Wetterhall, F.: Statistical downscaling of precipitation from Large-scale
Atmospheric circulation. Comparison of Methods and Climate Regions, available at:
https://www.diva-portal.org/smash/get/diva2:166978/FULLTEXT01.pdf
(last access: 26 September 2020), 2005.
Widmann, M., Bedia, J., Gutiérrez, J. M., Bosshard, T., Hertig, E.,
Maraun, D, Casado, M. J., Ramos, P., Cardoso, R. M., Soares, P. M. M., Ribalaygua, J., Pagé, C., Fischer, A. M., Herrera, S., and Huth, R.:
Validation of spatial variability in downscaling results from the VALUE
perfect predictor experiment, Int. J. Climatol., 39, 3819–3845, 2019.
Wilby, R. L. and Wigley, T. M. L.: Precipitation predictors for downscaling: observed and general circulation model relationships, Int. J. Climatol., 20, 641–661, 2000.
Wilby, R. L., Charles, S. P., Zorita, E., Timbal, B., Whetton, P., and Mearns, L. O.: Guidelines for use of climate scenarios developed from statistical downscaling methods, Supporting material of the Intergovernmental Panel on Climate Change, available from the DDC of IPCC TGCIA, 27 pp., available at:
https://www.ipcc-data.org/guidelines/dgm_no2_v1_09_2004.pdf
(last access: 26 September 2020), 2004.
Wu, T., Li, W., Ji, J., Xin, X., Li, L., Wang, Z., Zhang, Y., Li, J., Zhang, F., Wei, M., Shi, X., Wu, F., Zhang, L., Chu, M., Jie, W., Liu, Y., Wang, F., Liu, X., Li, Q., Dong, M., Liang, X., Gao, Y., and Zhang, J.: Global carbon budgets simulated by the Beijing Climate Center Climate System Model for the last century, J. Geophys. Res.-Atmos., 118, 4326–4347, https://doi.org/10.1002/jgrd.50320, 2013.
Xiao-Ge, X., Tong-Wen, W., Jiang–ong, L., Zai-Zhi, W., Wei-Ping, L., and Fang-Hua, W.: How well does BCC_CSM1.1 reproduce the 20th century climate change over China?, Atmos. Ocean. Sci. Lett., 6, 21–26, 2013.
Yukimoto, S., Adachi, Y., Hosaka, M., Sakami, T., Yoshimura, H., Hirabara, M., Tanaka, T.Y., Shindo, E., Tsujino, H., Deushi, M., Mizuta, R., Yabu, S., Obata, A., Nakano, H., Koshiro, T., Ose, T., and Kitoh, A.: A new global climate model of the Meteorological Research Institute: MRI-CGCM3-model description and basic performance, J. Meteorol. Soc. Jpn., 90, 23–64, https://doi.org/10.2151/jmsj.2012-A02, 2012.
