Zobrazeno 1 - 3
of 3
pro vyhledávání: '"J. A. García-Valero"'
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 15, Iss 9, Pp 2143-2159 (2015)
This paper presents a method for attributing regional trends in the frequency of extremely hot days (EHDs) to changes in the frequency of the atmospheric patterns that characterize such extraordinary events. The study is applied to mainland Spain and
Externí odkaz:
https://doaj.org/article/1df4e858625b4a288fe3f1ad7471fa5f
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:
J. J. Gómez-Navarro, C. C. Raible, D. Bozhinova, O. Martius, J. A. García Valero, J. P. Montávez
Publikováno v:
Geoscientific Model Development, Vol 11, Pp 2231-2247 (2018)
Regional climate modelling is used to simulate the hydrological cycle, which is fundamental for climate impact investigations. However, the output of these models is affected by biases that hamper its direct use in impact modelling. Here, we prese
Externí odkaz:
https://doaj.org/article/adefcc81ea77467194e6ecbd452be223