Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Juan José Gómez-Navarro"'
Autor:
Eric Samakinwa, Veronika Valler, Ralf Hand, Raphael Neukom, Juan José Gómez-Navarro, John Kennedy, Nick A. Rayner, Stefan Brönnimann
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-16 (2021)
Measurement(s) temperature of sea surface • sea ice concentration Technology Type(s) computational modeling technique Sample Characteristic - Environment ocean Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m
Externí odkaz:
https://doaj.org/article/55918462f39a4397a93e28fd51af4c7e
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 72, Iss 1, Pp 1-18 (2020)
Extratropical cyclones of type Vb develop over the western Mediterranean and move north-eastward, leading to heavy precipitation over central Europe and posing a major natural hazard. Thus, this study aims at assessing their sensitivity to climate ch
Externí odkaz:
https://doaj.org/article/2bce3f15441845c2bcc9f734ac95a6f9
Autor:
Sonia Jerez, Jose María López‐Romero, Marco Turco, Raquel Lorente‐Plazas, Juan José Gómez‐Navarro, Pedro Jiménez‐Guerrero, Juan Pedro Montávez
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 12, Iss 4, Pp n/a-n/a (2020)
Abstract Regional climate models (RCMs) are usually initialized and driven through the boundaries of their limited area domain by data provided by global models (GCMs). The mismatch between the low‐resolution GCM initial conditions and RCM's high r
Externí odkaz:
https://doaj.org/article/eaa3e79f219b403ba6fbee86f123aa39
Autor:
Peter Stucki, Silke Dierer, Christoph Welker, Juan José Gómez-Navarro, Christoph C. Raible, Olivia Martius, Stefan Brönnimann
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 68, Iss 0, Pp 1-18 (2016)
Assessments of local-scale windstorm hazard require highly resolved spatial information on wind speeds and gusts. In this study, maximum (peak) sustained wind speeds on a 3-km horizontal grid over Switzerland are obtained by dynamical downscaling fro
Externí odkaz:
https://doaj.org/article/b58ecdfc4e5b44b188d85fc0fe885e46
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 69, Iss 1 (2017)
Over the past decades, different drought indices have been suggested in the literature. This study tackles the problem of how to characterize droughts by defining a framework and proposing a generalized family of drought indices that is flexible rega
Externí odkaz:
https://doaj.org/article/8489c56d23a64b759bfcfb0bf0b6ec47
Autor:
Olivia Martius, J. A. García-Valero, Christoph C. Raible, Juan José Gómez-Navarro, Martina Messmer, Juan Pedro Montávez
Publikováno v:
Gómez-Navarro, J. J.; Raible, C. C.; García-Valero, J. A.; Messmer, M.; Montávez, J. P.; Martius, O. (2019). Event selection for dynamical downscaling: a neural network approach for physically-constrained precipitation events. Climate dynamics, 58(9-10), pp. 2863-2879. Springer-Verlag 10.1007/s00382-019-04818-w
This study presents a new dynamical downscaling strategy for extreme events. It is based on a combination of statistical downscaling of coarsely resolved global model simulations and dynamical downscaling of specific extreme events constrained by the
Autor:
William H. Blake, Francisco Fatela, Maria da Conceição Freitas, Ricardo M. Trigo, Juan José Gómez-Navarro, Eduardo Leorri, Mário A. Gonçalves, Filipa Moreno, Maria Fátima Araújo, João Moreno
Publikováno v:
Estuarine, Coastal and Shelf Science. 218:106-118
New paleoclimatic data from the Casa Branca salt marsh, in the southwest coast of Portugal, are compared with records previously published on the northwest coast (Caminha salt marsh) to offer a more comprehensive overview of the environmental evoluti
Autor:
Enrique Pravia-Sarabia, Amar Halifa-Marín, Juan José Gómez-Navarro, Laura Palacios-Peña, Pedro Jiménez-Guerrero, Juan Pedro Montávez
Publikováno v:
Atmospheric Research. 271:106160
Autor:
Enrique Pravia-Sarabia, Amar Halifa-Marín, Juan José Gómez-Navarro, Laura Palacios-Peña, Pedro Jiménez-Guerrero, Juan Pedro Montávez
Publikováno v:
Atmospheric Research. 268:106001