Person:
Rodríguez De Fonseca, María Belén

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First Name
María Belén
Last Name
Rodríguez De Fonseca
URI
https://hdl.handle.net/20.500.14352/75030
Affiliation
Universidad Complutense de Madrid
Faculty / Institute
Ciencias Físicas
Department
Física de la Tierra y Astrofísica
Area
Física de la Tierra
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UCM identifierORCIDScopus Author IDWeb of Science ResearcherIDDialnet IDGoogle Scholar ID

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2014 - 201912020 - 20232
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    Water vapour flux patterns and precipitation at Sierra de Guadarrama mountain range (Spain)
    (INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2014) Durán Montejano, Luis; Rodríguez De Fonseca, María Belén; Yagüe Anguis, Carlos; Sánchez, Enrique
    It is well known how mountains play a crucial role in the climate system and have very particular climate features compared to other regions. Sierra de Guadarrama is a part of the Iberian Peninsula Central System (Spain), a mountain range located in the center of an extensive plateau, dominated by a continental Mediterranean climate but under a strong Atlantic influence. This range provides fresh water to the different settlements in its vicinity, providing enough water resources to several millions of inhabitants, crop fields, industries and the city of Madrid, the capital of Spain. Nevertheless, there is no work studying the role of the synoptic scale in relation to the precipitation in this mountain range. To tackle this problem, this work calculates water vapour flux patterns (WVFPs) using total column water vapour flux as a predictor field due to the close relation between this parameter and the precipitation in mountainous areas. A clustering analysis on the first three principal components of the predictor field was performed and seven differentiated WVFPs were found using a cost function considering local precipitation data for optimum number of cluster determination. Then, an analysis is made for each component in terms of synoptic relation with other fields and well-known broader teleconnection patterns. Finally, an analysis in terms of their contribution to total precipitation, mean rain intensity and probability of precipitation is made. This work is expected to bring new light on the knowledge of precipitation climatology over this crucial and still not very well-known area, and it is a solid step for future precipitation modelling tools validation that combined with reliable measurements will allow to produce realistic precipitation assessments and forecasts in order to improve the hydrological management of this complex area.
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    Predictability of intra-seasonal descriptors of rainy season over Senegal using global SST patterns
    (Atmosphere, 2022) Touré, Abdou Kader; Fall, Cheikh Modou Noreyni; Diakhaté, Moussa; Wane, Dahirou; Rodríguez De Fonseca, María Belén; Ndiaye, Ousmane; Diop, Mbaye; Gaye, Amadou Thierno
    Seasonal forecasting of the rainfall characteristics in Sahel is of crucial interest in determining crop variability in these countries. This study aims to provide further characterization of nine rainfall metrics over Senegal (Onset, cessation, LRS, CDD, CDD7, CDD15, NR90p, NR95p, NR99p)and their response to global SST patterns from 1981 to 2018. The Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) dataset and the Hadley Centre Global Sea Ice and Sea Surface Temperature (HadISST) were used. The results showed strong spatio-temporal variability with a pronounced south–north gradient for all metrics. The earliest onset was observed in the south of the country from 4 July and the latest onset in the north from 9 August. Since 2012, a new regime is observed with an increase in both long dry spells and extreme wet events. Furthermore, SST forcing has shown that the North tropical Atlantic and the East Equatorial Pacific are better able to explain the interannual variability of the intraseasonal descriptors. However, the prediction of metrics is earlier for the most remote basin (Pacific) compared to the most local basin (Atlantic). These results have implications for the seasonal forecasting of Sahel’s intraseasonal variability based on SST predictors, as significant predictability is found far from the beginning of the season.
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    Tropical atmospheric response of Atlantic Niños to changes in the ocean background state
    (2023) Svendsen, Lea; Rodríguez De Fonseca, María Belén; Mohino Harris, Elsa; Crespo, Lander; Losada Doval, Teresa
    Since the 1970s, Atlantic Ninos during boreal summer have been linked to Pacific La Ninas the following winter. Earlier studies have explained the appearance of the Atlantic-Pacific teleconnection with changing Atlantic Nino configurations. Here we find that the non-stationarity of this teleconnection can also be explained by changes in the ocean background state, without changing the Atlantic Nino configuration. Experiments with different atmospheric general circulation models are performed where the same Atlantic Nino pattern is prescribed to different global ocean background states. The 1975-1985 global mean sea surface temperature forces a Walker Circulation response and low-level convergence over the Maritime Continent, increasing the chance of triggering a La Nina-like event in the Pacific. These results suggest that ENSO-predictions could be improved in certain periods by considering tropical Atlantic variability. The Atlantic Nino is the main climate variability phenomenon in the equatorial Atlantic and has a strong influence on local and remote climate. Since the 1970s, warm Atlantic Nino events in June-August have been linked to cool La Nina events developing in the equatorial Pacific the following December-February. The appearance of this Atlantic-Pacific link has been explained by changes in the temperature pattern of Atlantic Ninos but, so far, no study has analyzed the role of mean state changes. In this study we demonstrate the contribution of changes in the mean background surface temperatures of the global oceans to the appearance of this Atlantic-Pacific link. These results imply that under certain global ocean background conditions, we should use information about the Atlantic Nino to improve seasonal forecasts of El Nino and La Nina events. An Atlantic Nino in summer can produce atmospheric conditions of a La Nina-like event in the Pacific under certain ocean background statesThe ocean background state is of similar importance as the Atlantic Nino pattern for modifying the Atlantic Nino-Pacific teleconnectionAn Atlantic Nino intensifies easterly wind anomalies over the western equatorial Pacific when the Pacific has a warmer background state