Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Esteban Rodríguez Guisado"'
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
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
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
Autor:
Alfonso Hernanz, Carlos Correa, Juan-Andrés García-Valero, Marta Domínguez, Esteban Rodríguez-Guisado, Ernesto Rodríguez-Camino
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3bf8e454291402182943473d88fb9e87
https://doi.org/10.2139/ssrn.4247430
https://doi.org/10.2139/ssrn.4247430
Although most operational seasonal forecasting systems are based on dynamicalmodels, empirical forecasting systems, built on statistical relationships betweenpresent and future at seasonal time horizons conditions of the climate system, providea feas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cdc25a2461b1063c3b855e18ddc1863f
https://doi.org/10.5194/ems2021-39
https://doi.org/10.5194/ems2021-39
Autor:
Esteban Rodríguez-Guisado, Marta Dominguez-Alonso, Antonio Ángel Serrano-de la Torre, Eroteida Sánchez-García, Ernesto Rodríguez-Camino
Publikováno v:
Advances in Science and Research, Vol 16, Pp 191-199 (2019)
ARCIMIS. Archivo Climatológico y Meteorológico Institucional (AEMET)
Agencia Estatal de Meteorología (AEMET)
ARCIMIS. Archivo Climatológico y Meteorológico Institucional (AEMET)
Agencia Estatal de Meteorología (AEMET)
Número monográfico dedicado al "18th EMS Annual Meeting: European Conference for Applied Meteorology and Climatology 2018" In the frame of MEDSCOPE project, which mainly aims at improving predictability on seasonal timescales over the Mediterranean
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2fda0c1bd3d8b46f58c983f88afed47
http://hdl.handle.net/20.500.11765/10757
http://hdl.handle.net/20.500.11765/10757
Autor:
Ernesto Rodríguez Camino, Esteban Rodríguez Guisado, Eroteida Sánchez García, Federico Franco Manzano, Asunción Pastor Saavedra
Publikováno v:
ARCIMIS. Archivo Climatológico y Meteorológico Institucional (AEMET)
Agencia Estatal de Meteorología (AEMET)
Agencia Estatal de Meteorología (AEMET)
Ponencia presentada en: VI Simposio Nacional de Predicción, celebrado en los servicios centrales de AEMET, en Madrid, del 17 al 19 de septiembre de 2018. La iniciativa MedCOF forma parte de la red de los Foros Climáticos Regionales de Perspectivas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d14751cd58f22018ccb9d873a740ead
http://hdl.handle.net/20.500.11765/11027
http://hdl.handle.net/20.500.11765/11027
Autor:
Esteban Rodríguez Guisado, Antonio Ángel Serrano de la Torre, Eroteida Sánchez García, Beatriz Navascués Fernández-Victorio, Ernesto Rodríguez Camino
Publikováno v:
ARCIMIS. Archivo Climatológico y Meteorológico Institucional (AEMET)
Agencia Estatal de Meteorología (AEMET)
Agencia Estatal de Meteorología (AEMET)
Ponencia presentada en: XI Congreso de la Asociación Española de Climatología celebrado en Cartagena entre el 17 y el 19 de octubre de 2018. El objetivo principal del proyecto MEDSCOPE es mejorar la pericia (skill) de la predicción a escala estac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bc6abe0c51544756657fc906c68965f
http://hdl.handle.net/20.500.11765/9974
http://hdl.handle.net/20.500.11765/9974