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Start Over Author "Vries, H. de" Topic 13. climate action
2 results on '"Vries, H. de"'

1. Explaining Extreme Events of 2012 from a Climate Perspective

Author

Peterson, T. C., Alexander, L. V., Allen, M. R., Añel, Juan A., Barriopedro, David, Black, M. T., Carey-Smith, T., Castillo, R., Cattiaux, J., Chen, X. L., Chen, X. Y., Chevallier, M., Christidis, N., Ciavarella, A., Vries, H. de, Dean, S. M., Deans, K., Diffenbaugh, N. S., Doblas-Reyes, Francisco J., Donat, M. G., Dong, B., Eilerts, G., Funk, C., Galu, G., García Herrera, Ricardo, Germe, A., Gill, S., Gimeno, Luis, Guemas, V., Herring, S. C., Hoell, A., Hoerling, M. P., Huntingford, C., Husak, G., Imada, Y., Ishii, M., Karoly, D. J., Kimoto, M., King, A. D., Knutson, T. R., Lewis, S. C., Lin, R. P., Lyon, Bradfield, Massey, N., Mazza, E., Michaelsen, J., Mori, M., Mote, P. W., Nieto, Raquel, Otto, F. E. L., Park, J., Perkins, S. E., Rosier, S., Rowland, J., Rupp, D. E., Salas y Melia, D., Scherer, M., Shiogama, H., Shukla, S., Song, F. F., Sparrow, S., Stott, Peter A., Sutton, R., Sweet, W., Tett, S. F. B., Trigo, Ricardo M., Oldenborgh, G. J. van, Westrhenen, R. van, Verdin, J., Watanabe, M., Wittenberg, A. T., Woollings, Tim, Yiou, P., Zeng, F. R., Zervas, C., Zhang, R., Zhou, T. J., Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Extrèmes : Statistiques, Impacts et Régionalisation (ESTIMR), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), and Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)

Subjects
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Atmospheric Science, Potential impact, geography, geography.geographical_feature_category, 010504 meteorology & atmospheric sciences, Climate, 0207 environmental engineering, Física atmosférica, 02 engineering and technology, 01 natural sciences, Arctic ice pack, Sea surface temperature, Oceanography, 13. Climate action, Sea ice, Precipitation, Clima, 020701 environmental engineering, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, Geology, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences
Abstract

Attribution of extreme events is a challenging science and one that is currently undergoing considerable evolution. In this paper are 19 analyses by 18 different research groups, often using quite different methodologies, of 12 extreme events that occurred in 2012. In addition to investigating the causes of these extreme events, the multiple analyses of four of the events, the high temperatures in the United States, the record low levels of Arctic sea ice, and the heavy rain in northern Europe and eastern Australia, provide an opportunity to compare and contrast the strengths and weaknesses of the various methodologies. The differences also provide insights into the structural uncertainty of event attribution, that is, the uncertainty that arises directly from the differences in analysis methodology. In these cases, there was considerable agreement between the different assessments of the same event. However, different events had very different causes. Approximately half the analyses found some evidence that anthropogenically caused climate change was a contributing factor to the extreme event examined, though the effects of natural fluctuations of weather and climate on the evolution of many of the extreme events played key roles as well.

Published
2013
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2. The first multi-model ensemble of regional climate simulations at kilometer-scale resolution, part I: evaluation of precipitation

Author

Ban, N., Caillaud, C., Coppola, E., Pichelli, E., Sobolowski, S., Adinolfi, M., Ahrens, B., Alias, A., Anders, I., Bastin, S., Belu��i��, D., Berthou, S., Brisson, E., Cardoso, R. M., Chan, S. C., Christensen, O. B., Fern��ndez, J., Fita, L., Frisius, T., Ga��parac, G., Giorgi, F., Goergen, K., Haugen, J. E., Hodnebrog, ��., Kartsios, S., Katragkou, E., Kendon, E. J., Keuler, K., Lavin-Gullon, A., Lenderink, G., Leutwyler, D., Lorenz, T., Maraun, D., Mercogliano, P., Milovac, J., Panitz, H.-J., Raffa, M., Remedio, A. R., Sch��r, C., Soares, P. M. M., Srnec, L., Steensen, B. M., Stocchi, P., T��lle, M. H., Truhetz, H., Vergara-Temprado, J., Vries, H. De, Warrach-Sagi, K., Wulfmeyer, V., and Zander, M. J.

Subjects
Kilometer-scale resolution, 13. Climate action, Multi-model ensemble simulations, Precipitation, Regional climate models
Abstract

Here we present the first multi-model ensemble of regional climate simulations at kilometer-scale horizontal grid spacing over a decade long period. A total of 23 simulations run with a horizontal grid spacing of ���3 km, driven by ERA-Interim reanalysis, and performed by 22 European research groups are analysed. Six different regional climate models (RCMs) are represented in the ensemble. The simulations are compared against available high-resolution precipitation observations and coarse resolution (��� 12 km) RCMs with parameterized convection. The model simulations and observations are compared with respect to mean precipitation, precipitation intensity and frequency, and heavy precipitation on daily and hourly timescales in different seasons. The results show that kilometer-scale models produce a more realistic representation of precipitation than the coarse resolution RCMs. The most significant improvements are found for heavy precipitation and precipitation frequency on both daily and hourly time scales in the summer season. In general, kilometer-scale models tend to produce more intense precipitation and reduced wet-hour frequency compared to coarse resolution models. On average, the multi-model mean shows a reduction of bias from ��� ���40% at 12 km to ��� ���3% at 3 km for heavy hourly precipitation in summer. Furthermore, the uncertainty ranges i.e. the variability between the models for wet hour frequency is reduced by half with the use of kilometer-scale models. Although differences between the model simulations at the kilometer-scale and observations still exist, it is evident that these simulations are superior to the coarse-resolution RCM simulations in the representing precipitation in the present-day climate, and thus offer a promising way forward for investigations of climate and climate change at local to regional scales.

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