Zobrazeno 1 - 10
of 19
pro vyhledávání: '"F J Doblas Reyes"'
Publikováno v:
Environmental Research Letters, Vol 8, Iss 1, p 014055 (2013)
A necessary condition for a good probabilistic forecast is that the forecast system is shown to be reliable: forecast probabilities should equal observed probabilities verified over a large number of cases. As climate change trends are now emerging f
Externí odkaz:
https://doaj.org/article/d01f407d4f014a53a859bbbe5cb59947
Autor:
R. Mahmood, M. G. Donat, P. Ortega, F. J. Doblas-Reyes, C. Delgado-Torres, M. Samsó, P.-A. Bretonnière
Publikováno v:
Earth System Dynamics, Vol 13, Pp 1437-1450 (2022)
Near-term projections of climate change are subject to substantial uncertainty from internal climate variability. Here we present an approach to reduce this uncertainty by sub-selecting those ensemble members that more closely resemble observed patte
Externí odkaz:
https://doaj.org/article/b0ef0a29a06f490ea6b78f680fc7e5f1
Autor:
R. Döscher, M. Acosta, A. Alessandri, P. Anthoni, T. Arsouze, T. Bergman, R. Bernardello, S. Boussetta, L.-P. Caron, G. Carver, M. Castrillo, F. Catalano, I. Cvijanovic, P. Davini, E. Dekker, F. J. Doblas-Reyes, D. Docquier, P. Echevarria, U. Fladrich, R. Fuentes-Franco, M. Gröger, J. v. Hardenberg, J. Hieronymus, M. P. Karami, J.-P. Keskinen, T. Koenigk, R. Makkonen, F. Massonnet, M. Ménégoz, P. A. Miller, E. Moreno-Chamarro, L. Nieradzik, T. van Noije, P. Nolan, D. O'Donnell, P. Ollinaho, G. van den Oord, P. Ortega, O. T. Prims, A. Ramos, T. Reerink, C. Rousset, Y. Ruprich-Robert, P. Le Sager, T. Schmith, R. Schrödner, F. Serva, V. Sicardi, M. Sloth Madsen, B. Smith, T. Tian, E. Tourigny, P. Uotila, M. Vancoppenolle, S. Wang, D. Wårlind, U. Willén, K. Wyser, S. Yang, X. Yepes-Arbós, Q. Zhang
Publikováno v:
Geoscientific Model Development, Vol 15, Pp 2973-3020 (2022)
The Earth system model EC-Earth3 for contributions to CMIP6 is documented here, with its flexible coupling framework, major model configurations, a methodology for ensuring the simulations are comparable across different high-performance computing (H
Externí odkaz:
https://doaj.org/article/6f81708b57174be6808e5a81593307a2
Autor:
R. Bilbao, S. Wild, P. Ortega, J. Acosta-Navarro, T. Arsouze, P.-A. Bretonnière, L.-P. Caron, M. Castrillo, R. Cruz-García, I. Cvijanovic, F. J. Doblas-Reyes, M. Donat, E. Dutra, P. Echevarría, A.-C. Ho, S. Loosveldt-Tomas, E. Moreno-Chamarro, N. Pérez-Zanon, A. Ramos, Y. Ruprich-Robert, V. Sicardi, E. Tourigny, J. Vegas-Regidor
Publikováno v:
Earth System Dynamics, Vol 12, Pp 173-196 (2021)
In this paper, we present and evaluate the skill of an EC-Earth3.3 decadal prediction system contributing to the Decadal Climate Prediction Project – Component A (DCPP-A). This prediction system is capable of skilfully simulating past global mean s
Externí odkaz:
https://doaj.org/article/aad8cb881681497aa875633b2937525b
Publikováno v:
Geoscientific Model Development, Vol 13, Pp 1165-1178 (2020)
Most Earth system models (ESMs) are running under different high-performance computing (HPC) environments. This has several advantages, from allowing different groups to work with the same tool in parallel to leveraging the burden of ensemble climate
Externí odkaz:
https://doaj.org/article/9934abcb7dc14a0baf6d8f02ec57619e
Publikováno v:
Earth System Science Data, Vol 12, Pp 429-439 (2020)
A dataset containing quality-controlled wind observations from 222 tall towers has been created. Wind speed and wind direction measurements covering the 1984–2017 period have been collected from existing tall towers around the world in an effort to
Externí odkaz:
https://doaj.org/article/369bf50d69f642709e1807b2b1b6ea89
Autor:
O. Tintó Prims, M. C. Acosta, A. M. Moore, M. Castrillo, K. Serradell, A. Cortés, F. J. Doblas-Reyes
Publikováno v:
Geoscientific Model Development, Vol 12, Pp 3135-3148 (2019)
Mixed-precision approaches can provide substantial speed-ups for both computing- and memory-bound codes with little effort. Most scientific codes have overengineered the numerical precision, leading to a situation in which models are using more resou
Externí odkaz:
https://doaj.org/article/d6bfe66caad54175b23d86540085880d
Publikováno v:
Nonlinear Processes in Geophysics, Vol 21, Iss 2, Pp 521-537 (2014)
Initialization techniques for seasonal-to-decadal climate predictions fall into two main categories; namely full-field initialization (FFI) and anomaly initialization (AI). In the FFI case the initial model state is replaced by the best possible avai
Externí odkaz:
https://doaj.org/article/fb9fa6c8242644d4bf99f45e242f97b1
Publikováno v:
Advances in Geosciences, Vol 6, Pp 51-55 (2006)
This study addresses seasonal predictability of South American rainfall during ENSO. The skill of empirical and coupled multi-model predictions is assessed and compared. The empirical model uses the previous season August-September-October Pacific an
Externí odkaz:
https://doaj.org/article/71e86f01e45b44b3ade682d0f67eed56
A necessary condition for a good probabilistic forecast is that the forecast system is shown to be reliable: forecast probabilities should equal observed probabilities verified over a large number of cases. As climate change trends are now emerging f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::212283b84469c5c3d55e135e7bf22ff0
https://centaur.reading.ac.uk/31987/1/vanOldenborgh_etal_2013_ERL.pdf
https://centaur.reading.ac.uk/31987/1/vanOldenborgh_etal_2013_ERL.pdf
