Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Ernesto Rodríguez‐Camino"'
Autor:
Alfonso Hernanz, Carlos Correa, Juan‐Carlos Sánchez‐Perrino, Ignacio Prieto‐Rico, Esteban Rodríguez‐Guisado, Marta Domínguez, Ernesto Rodríguez‐Camino
Publikováno v:
Atmospheric Science Letters, Vol 25, Iss 2, Pp n/a-n/a (2024)
Abstract Convolutional neural networks (CNNs) have become one of the state‐of‐the‐art techniques for downscaling climate projections. They are being applied under Perfect‐Prognosis (trained in a historical period with observations) and hybrid
Externí odkaz:
https://doaj.org/article/8648721b1bdb4cef93ad73a5975c0fce
Autor:
Alfonso Hernanz, Carlos Correa, Juan Andrés García-Valero, Marta Domínguez, Esteban Rodríguez-Guisado, Ernesto Rodríguez-Camino
Publikováno v:
Climate Services, Vol 32, Iss , Pp 100408- (2023)
The climate change impact and adaptation communities need future scenarios with sufficient high resolution, which are frequently achieved by applying Statistical Downscaling Models (SDMs) over global climate models. A large variety of SDMs exists, an
Externí odkaz:
https://doaj.org/article/1bdb7ecf7632473b9eef12ec3f18ecf8
Co-design of sectoral climate services based on seasonal prediction information in the Mediterranean
Autor:
Eroteida Sánchez-García, Ernesto Rodríguez-Camino, Valentina Bacciu, Marta Chiarle, José Costa-Saura, Maria Nieves Garrido, Llorenç Lledó, Beatriz Navascués, Roberta Paranunzio, Silvia Terzago, Giulio Bongiovanni, Valentina Mereu, Guido Nigrelli, Monia Santini, Albert Soret, Jost von Hardenberg
Publikováno v:
Climate Services, Vol 28, Iss , Pp 100337- (2022)
We present in this contribution the varied experiences gathered in the co-design of a sectoral climate services collection, developed in the framework of the MEDSCOPE project, which have in common the application of seasonal predictions for the Medit
Externí odkaz:
https://doaj.org/article/0ec5cd3d8b1a40c693beeb5b6db11e69
Publikováno v:
Atmospheric Science Letters, Vol 23, Iss 6, Pp n/a-n/a (2022)
Abstract Machine learning is a growing field of research with many applications. It provides a series of techniques able to solve complex nonlinear problems, and that has promoted their application for statistical downscaling. Intercomparison exercis
Externí odkaz:
https://doaj.org/article/fdd462aab0b8444785669e5e9e4b1287
Autor:
Damià Gomis, Enrique Álvarez-Fanjul, Gabriel Jordà, Marta Marcos, Roland Aznar, Ernesto Rodríguez-Camino, Juan Carlos Sánchez-Perrino, José María Rodríguez-González, Adrián Martínez-Asensio, Josep Llasses, Begoña Pérez, Marcos G. Sotillo
Publikováno v:
Scientia Marina, Vol 80, Iss S1, Pp 215-234 (2016)
We present an overview of the changes expected during the 21st century in key marine parameters (sea surface temperature, sea surface salinity, sea level and waves) in the sector of the NE Atlantic Ocean close to the Spanish shores. Under the A1B sce
Externí odkaz:
https://doaj.org/article/250c66f301f04472bf6362e996ee133e
Autor:
Cristina Vegas-Cañas, J. Fidel González-Rouco, Jorge Navarro-Montesinos, Elena García-Bustamante, Etor E. Lucio-Eceiza, Félix García-Pereira, Ernesto Rodríguez-Camino, Andrés Chazarra-Bernabé, Inés Álvarez-Arévalo
Publikováno v:
Atmosphere, Vol 11, Iss 9, p 985 (2020)
This work provides a first assessment of temperature variability at interannual and decadal timescales in Sierra de Guadarrama, a high mountain protected area of the Central System in the Iberian Peninsula. Observational data from stations located in
Externí odkaz:
https://doaj.org/article/d804b3138cc94199bd938d952298cddc
Autor:
Jesús Fidel González-Rouco, Emilio Greciano-Zamorano, Félix García-Pereira, Cristina Vegas-Cañas, Jorge Navarro-Montesinos, Elena García-Bustamante, Ernesto Rodríguez-Camino, Esteban Rodríguez-Guisado
Heterogeneity in the occurrence, amount, and distribution of precipitation in mountainous areas is relevant for water resources and stresses the need for high-altitude observations and high-resolution modeling over complex terrain. However, the harsh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18dee837a3719b7b3bcce32eb2480aa4
https://doi.org/10.5194/egusphere-egu23-15059
https://doi.org/10.5194/egusphere-egu23-15059
Autor:
Alfonso Hernanz, Carlos Correa, Marta Domínguez, Esteban Rodríguez-Guisado, Ernesto Rodríguez-Camino
Two main approaches to downscale global climate projections are possible: dynamical and statistical downscaling. Both families have been widely evaluated, but intercomparison studies between the two families are scarce, and usually limited to tempera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88de1878ce63869966719408ee89a4fe
https://doi.org/10.5194/egusphere-egu23-1296
https://doi.org/10.5194/egusphere-egu23-1296
Publikováno v:
International Journal of Climatology. 42:3987-4000
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da43f684d4ec760be4e8d3565caac85c
https://doi.org/10.1002/joc.7464
https://doi.org/10.1002/joc.7464
Autor:
Alfonso Hernanz, Carlos Correa, Marta Domínguez, Esteban Rodríguez-Guisado, Ernesto Rodríguez-Camino
Climate change impact and adaptation studies make use of future climate simulations by Global Climate Models (GCMs). Nevertheless, their coarse resolution makes it necessary to apply some sort of downscaling on them. There are two common approaches f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9872b1253efd027e3336f0b9a58bd3a3
https://doi.org/10.5194/ems2022-78
https://doi.org/10.5194/ems2022-78