Person:
Gómara Cardalliaguet, Íñigo

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First Name
Íñigo
Last Name
Gómara Cardalliaguet
URI
https://hdl.handle.net/20.500.14352/85461
Affiliation
Universidad Complutense de Madrid
Faculty / Institute
Ciencias Físicas
Department
Física de la Tierra y Astrofísica
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2018 - 201912020 - 20232
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Author: Losada Doval, Teresa ×

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Now showing 1 - 3 of 3
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    Impact of dynamical regionalization on precipitation biases and teleconnections over West Africa
    (Climate dynamics, 2018) Gómara Cardalliaguet, Íñigo; Mohino Harris, Elsa; Losada Doval, Teresa; Domínguez, Marta; Suárez Moreno, Roberto; Rodríguez De Fonseca, María Belén
    West African societies are highly dependent on the West African Monsoon (WAM). Thus, a correct representation of the WAM in climate models is of paramount importance. In this article, the ability of 8 CMIP5 historical General Circulation Models (GCMs) and 4 CORDEX-Africa Regional Climate Models (RCMs) to characterize the WAM dynamics and variability is assessed for the period July-August-September 1979-2004. Simulations are compared with observations. Uncertainties in RCM performance and lateral boundary conditions are assessed individually. Results show that both GCMs and RCMs have trouble to simulate the northward migration of the Intertropical Convergence Zone in boreal summer. The greatest bias improvements are obtained after regionalization of the most inaccurate GCM simulations. To assess WAM variability, a Maximum Covariance Analysis is performed between Sea Surface Temperature and precipitation anomalies in observations, GCM and RCM simulations. The assessed variability patterns are: El Nio-Southern Oscillation (ENSO); the eastern Mediterranean (MED); and the Atlantic Equatorial Mode (EM). Evidence is given that regionalization of the ENSO-WAM teleconnection does not provide any added value. Unlike GCMs, RCMs are unable to precisely represent the ENSO impact on air subsidence over West Africa. Contrastingly, the simulation of the MED-WAM teleconnection is improved after regionalization. Humidity advection and convergence over the Sahel area are better simulated by RCMs. Finally, no robust conclusions can be determined for the EM-WAM teleconnection, which cannot be isolated for the 1979-2004 period. The novel results in this article will help to select the most appropriate RCM simulations to study WAM teleconnections.
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    Skillful prediction of tropical Pacific fisheries provided by Atlantic Niños
    (Environmental research letters, 2021) Gómara Cardalliaguet, Íñigo; Rodríguez De Fonseca, María Belén; Mohino Harris, Elsa; Losada Doval, Teresa; Polo Sánchez, Irene; Coll, Marta
    Tropical Pacific upwelling-dependent ecosystems are the most productive and variable worldwide, mainly due to the influence of El Niño Southern Oscillation (ENSO). ENSO can be forecasted seasons ahead thanks to assorted climate precursors (local-Pacific processes, pantropical interactions). However, due to observational data scarcity, little is known about the importance of these precursors for marine ecosystem prediction. Previous studies based on Earth System Model simulations forced by observed climate have shown that multiyear predictability of tropical Pacific marine primary productivity is possible. With recently released global marine ecosystem simulations forced by historical climate, full examination of tropical Pacific ecosystem predictability is now feasible. By complementing historical fishing records with marine ecosystem model data, we show herein that equatorial Atlantic sea surface temperatures (SSTs) constitute a valuable predictability source for tropical Pacific fisheries, which can be forecasted over large-scale areas up to three years in advance. A detailed physical-biological mechanism is proposed whereby equatorial Atlantic SSTs influence upwelling of nutrient-rich waters in the tropical Pacific, leading to a bottom-up propagation of the climate-related signal across the marine food web. Our results represent historical and near-future climate conditions and provide a useful springboard for implementing a marine ecosystem prediction system in the tropical Pacific.
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    Project number: 266
    Creación de recursos prácticos y digitales de meteorología y clima a través de Metolab
    (2023) Losada Doval, Teresa; Ayarzaüena Porras, Blanca; Benito Barca, Samuel; Calvo Fernández, Natalia; Calvo Miguélez, Elena; Cámara Illescas, Álvaro de la; Durán Montejano, Luis; García Burgos, Marina; García Herrera, Ricardo Francisco; Garrido Pérez, José Manuel; Gómara Cardalliaguet, Íñigo; López Reyes, Mauricio; Martín del Rey, Marta; Martín Gómez, Verónica; Martínez Andradas, Verónica; Mohino Harris, Elsa; Ortiz Corral, Pablo; Polo Sánchez, Irene; Rodríguez De Fonseca, María Belén; Román Cascón, Carlos; Sastre Marugán, Mariano; Yagüe Anguis, Carlos; Zurita Gotor, Pablo; Calvo Miguélez, Elena