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16 results on '"HERRERA R P"'

4. Measurement of the background in the CMS muon detector in pps=13TeV-collisions at pps=13TeV pps=13TeV

Author

Tytgat, M., Muhammad, A., De Lentdecker, G., Jaramillo, J., Moureaux, L., Pétré, L., Yang, Y., Rendón, C., Gokbulut, G., Hong, Y., Samalan, A., Alves, G. A., Marujo da Silva, F., Alves Coelho, E., Barroso Ferreira Filho, M., Da Costa, E. M., De Jesus Damiao, D., Ferreira, B. C., Fonseca De Souza, S., Mota Amarilo, K., Nogima, H., Santoro, A., Thiel, M., Aleksandrov, A., Dimitrov, L., Hadjiiska, R., Iaydjiev, P., Misheva, M., Mitev, G., Ratchev, L., Rashevski, G., Shopova, M., Sultanov, G., Dimitrov, A., Litov, L., Pavlov, B., Petkov, P., Petrov, A., Shumka, E., Keshri, S., Thakur, S., Chen, M., Dong, X., Gong, W., Hou, Q., Jiang, C., Kou, H., Liu, Z.-A., Luo, W., Song, J., Sun, L., Wang, N., Wang, Y., Wang, Z., Zhang, C., Zhang, Y., Zhang, H., Zhao, J., Agapitos, A., Ban, Y., Levin, A., Li, Q., Qian, S. J., Wang, D., Wang, K., You, Z., Avila, C., Barbosa Trujillo, D. A., Cabrera, A., Florez, C. A., Fraga, J., Reyes Vega, J. A., Ramirez, F., Rodriguez, M., Ruiz, J. D., Vanegas, N., Abdalla, H., Abdelalim, A. A., Assran, Y., Radi, A., Crotty, I., Mahmoud, M. A., Balleyguier, L., Chen, X., Combaret, C., Galbit, G., Gouzevitch, M., Grenier, G., Laktineh, I. B., Luciol, A., Mirabito, L., Tromeur, W., Bagaturia, I., Lomidze, I., Kemularia, O., Tsamalaidze, Z., Böttger, U., Eliseev, D., Hebbeker, T., Hoepfner, K., Merschmeyer, M., Ivone, F., Mukherjee, S., Nowotny, F., Philipps, B., Reithler, H., Sharma, A., Torres Da Silva De Araujo, F., Wiedenbeck, S., Zaleski, S., Zantis, F. P., Abbas, M., Mallows, S., Bencze, G., Beni, N., Molnar, J., Szillasi, Z., Teyssier, D., Ujvari, B., Zilizi, G., Babbar, J., Bansal, S., Bhatnagar, V., Chauhan, S., Kaur, A., Kaur, H., Kaur Sahota, A., Kumar, S., Sheokand, T., Singh, J., Choudhary, B. C., Kumar, A., Kumar Saini, M., Naimuddin, M., Majumdar, N., Mukhopadhyay, S., Rout, P., Amoozegar, V., Boghrati, B., Ebraimi, M., Mohammadi Najafabadi, M., Zareian, E., Abbrescia, M., Aly, R., Buonsante, M., Colaleo, A., De Filippis, N., Dell’Olio, D., De Robertis, G., Elmetenawee, W., Ferrara, N., Franco, M., Iaselli, G., Lacalamita, N., Licciulli, F., Loddo, F., Maggi, M., Martiradonna, S., Nuzzo, S., Longo, L., Pellecchia, A., Pugliese, G., Radogna, R., Ramos, D., Ranieri, A., Simone, F. M., Stamerra, A., Troiano, D., Venditti, R., Verwilligen, P., Zaza, A., Abbiendi, G., Baldanza, C., Battilana, C., Benvenuti, A., Borgonovi, L., Cafaro, V., Cavallo, F. R., Crupano, A., Cuffiani, M., Dallavalle, G. M., Fabbri, F., Fanfani, A., Fasanella, D., Giacomelli, P., Giordano, V., Guandalini, C., Guiducci, L., Lo Meo, S., Lunerti, L., Marcellini, S., Masetti, G., Navarria, F. L., Paggi, G., Perrotta, A., Primavera, F., Rossi, A. M., Rovelli, T., Torromeo, G., Benussi, L., Bianco, S., Campagnola, R., Caponero, M., Colafranceschi, S., Meola, S., Passamonti, L., Piccolo, D., Pierluigi, D., Raffone, G., Russo, A., Saviano, G., Buontempo, S., Cagnotta, A., Carnevali, F., Cassese, F., Cavallo, N., De Iorio, A., Fabozzi, F., Iorio, A. O. M., Lista, L., Paolucci, P., Passeggio, G., Rossi, B., Barcellan, L., Bellato, M., Benettoni, M., Bergnoli, A., Bragagnolo, A., Carlin, R., Castellani, L., Checchia, P., Ciano, L., Colombo, A., Corti, D., Gasparini, F., Gasparini, U., Gonella, F., Gozzelino, A., Griggio, A., Grosso, G., Gulmini, M., Isocrate, R., Lusiani, E., Maron, G., Margoni, M., Meneguzzo, A. T., Migliorini, M., Modenese, L., Montecassiano, F., Negrello, M., Passaseo, M., Pazzini, J., Ramina, L., Rampazzo, M., Rebeschini, M., Ronchese, P., Rossin, R., Simonetto, F., Toffano, M., Toniolo, N., Triossi, A., Ventura, S., Zanetti, M., Zatti, P. G., Zotto, P., Zucchetta, A., AbuZeid, S., Aimè, C., Braghieri, A., Calzaferri, S., Fiorina, D., Gigli, S., Montagna, P., Riccardi, C., Salvini, P., Vai, I., Vitulo, P., Amapane, N., Cotto, G., Dattola, D., De Remigis, P., Kiani, B., Mariotti, C., Maselli, S., Pelliccioni , M., Rotondo, F., Staiano, A., Trocino, D., Umoret, G., Asilar, E., Kim, T. J., Merlin, J. A., Choi, S., Hong, B., Lee, K. S., Goh, J., Choi, J., Kim, J., Yang, U., Yoon, I., Jang, W., Heo, J., Kang, D., Kang, Y., Kim, D., Kim, S., Ko, B., Lee, J. S. H., Park, I. C., Watson, I. J., Yang, S., Jeong, Y., Lee, Y., Yu, I., Alasfour, G., Beyrouthy, T., Gharbia, Y., Maghrbi, Y., Otkur, M., Castilla-Valdez, H., Crotte Ledesma, H., Lopez-Fernandez, R., Sánchez Hernández, A., Ramírez García, M., Vazquez, E., Shah, M. A., Zaganidis, N., Pedraza, I., Uribe Estrada, C., Ahmad, A., Ahmed, W., Asghar, M. I., Hoorani, H. R., Muhammad, S., Wajid, A., Alcaraz Maestre, J., Álvarez Fernández, A., Fernandez Bedoya, Cristina F., Blanco Ramos, L. C., Calvo, E., Carrillo Montoya, C. A., Cela Ruiz, J. M., Cepeda, M., Cerrada, M., Colino, N., Cuadrado Calzada, S., Cuchillo Ortega, J., De La Cruz, B., de Lara Rodríguez, C. I., Fernández Del Val, D., Fernández Ramos, J. P., Fouz, M. C., Francia Ferrero, D., García Romero, J., Gonzalez Lopez, O., Goy Lopez, S., Josa, M. I., León Holgado, J., Manzanilla Carretero, O., Martín Martín, I., Martínez Morales, J. J., Martín Viscasillas, E., Moran, D., Navarro Tobar, Á., Paz Herrera, R., Puras Sánchez, J. C., Puerta Pelayo, J., Pulido Ferrero, S., Redondo, I., Redondo Ferrero, D. D., Salto Parra, V., Sánchez Navas, S., Sastre, J., Urda Gómez, L., Vazquez Escobar, J., de Trocóniz, J. F., Frias Garcia-Lago, F., Reyes-Almanza, R., Alvarez Gonzalez, B., Cuevas, J., Fernandez Menendez, J., Folgueras, S., Gonzalez Caballero, I., Leguina López, P., Palencia Cortezon, E., Ramón Álvarez, C., Prado Pico, J., Rodríguez Bouza, V., Soto Rodríguez, A., Trapote, A., Villalba, C. Vico, Kailasapathy, B., Malagalage, K., Sonnadara, D. U. J., Wickramarathna, D. D. C., Dharmaratna, W. G. D., Liyanage, K., Perera, N., Wickramage, N., Aspell, P., Bianco, M., Bozzato, D., Brachet, S., Conde Garcia, A., Dabrowski, A., De Oliveira, R., Fallavollita, F., Kicsiny, P., Sharma, A., Hazen, E., May, S., Peck, A., Salyer, K., Suarez, I., Abbott, S., Bonilla, J., Breedon, R., Cai, H., Cox, P. T., Erbacher, R., Kukral, O., McLean, C., Mocellin, G., Mulhearn, M., Regnery, B., Tripathi, M., Waegel, G., Yao, Y., Carlson, J., Cousins, R., Dasgupta, A., Datta, A., Hauser, J., Ignatenko, M., Iqbal, M. A., Lo, C., Saltzberg, D., Schnaible, C., Valuev, V., Clare, R., Gordon, M., Hanson, G., Amin, N., Bradmiller-Feld, J., Campagnari, C., Danielson, T., Dishaw, A., Dorsett, A., Kim, J., Marsh, B., Mei, H., Oshiro, M., Richman, J., Setti, F., Sevilla, M. F., Siddireddy, P., Wang, S., Aruta, C., Barashko, V., Cherepanov, V., Dittrich, M., Korytov, A., Kuznetsova, E., Madorsky, A., Mitselmakher, G., Muthirakalayil Madhu, A., Rawal, N., Terentyev, N., Wang, J., Alsufyani, B., Butalla, S., Elkafrawy, T., Hohlmann, M., Yanes, E., Eysermans, J., Barberis, E., Haddad, Y., Han, Y., Madigan, G., Morse, D. M., Nguyen, V., Wood, D., Bhattacharya, S., Bueghly, J., Chen, Z., Hahn, K. A., Liu, Y., Miao, Y., Monk, D. G., Schmitt, M. H., Taliercio, A., Velasco, M., Bylsma, B., Carrigan, M., De Los Santos, R., Durkin, L. S., Hill, C., Banicz, K., Liu, J., Matveev, M., Padley, B. P., Aebi, D., Ahmad, M., Akhter, T., Bolshov, A., Bouhali, O., Eusebi, R., Gilmore, J., Huang, T., Juska, E., Kamon, T., Kim, H., Kizlov, M., Malhotra, S., Mueller, R., Rabadan, R., Rathjens, D., Safonov, A., Karchin, P. E., Aravind, A., Black, K., De Bruyn, I., Everaerts, P., Galloni, C., Herndon, M., Lanaro, A., Loveless, R., Madhusudanan Sreekala, J., Mondal, S., Teague, D., Vetens, W., Warden, A., Azhgirey, I., Borshch, V., Chtchipunov, L., Egorov, A., Gavrilov, G., Golovtcov, V., Ivanov, M., Ivantchenko, V., Ivanov, Y., Karjavine, V., Khodinov, A., Kim, V., Kurochkin, I. A., Levchenko, P., Murzin, V., Nasybulin, S., Oreshkin, V., Palichik, V., Perelygin, V., Riabchikova, A., Sosnov, D., Sulimov, V., Uvarov, L., Vavilov, S., and Vorobyev, A.

Published
2024
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9. How Well do Polygenic Risk Scores Identify Men at High Risk for Prostate Cancer? Systematic Review and Meta-Analysis

Author

Siltari, Aino, Lönnerbro, Ragnar, Pang, Karl, Shiranov, Kirill, Asiimwe, Alex, Evans-Axelsson, Susan, Franks, Billy, Kiran, Amit, Murtola, Teemu J., Schalken, Jack, Steinbeisser, Carl, Bjartell, Anders, Auvinen, Anssi, N’Dow, J., Smith, E.J., Shepherd, R., Ribal, M., Mottet, N., Moris, L., Lardas, M., Willemse, P-P., Gandaglia, G., Campi, R., Nicoletti, Rossella, Gacci, M., Briganti, A., Ratti, M.M., Alleva, E., Leardini, L., Sisca, E.S., Bangma, R., Roobol, M., Remmers, S., Tilki, D., Visakorpi, T., Talala, K., Tammela, T., van Hemelrijck, M., Bayer, K., Lejeune, S., Byrne, S., Fialho, L., De Meulder, P. Palaiologou B., Auffray, C., Hijazy, A., Power, S., Kermani, N. Zounemat, van Bochove, K., Kalafati, M., Moinat, M., Voss, E., Horgan, D., Fullwood, L., Holtorf, M., Lancet, D., Bernstein, G., Omar, I., MacLennan, S., Maclennan, S., Tripathee, S., Wirth, M., Froehner, M., Brenner, B., Borkowetz, A., Thomas, C., Horn, F., Reiche, K., Kreux, M., Josefsson, A., Tandefekt, D. Gasi, Hugosson, J., Huisman, H., Schalken, J., Hofmacher, T., Lindgren, P., Andersson, E., Fridhammar, A., Zong, J., Butler-Ransohoff, J-E., Herrera, R., Maass, M., Torremante, P., Voss, M.D., Devecseri, Z., Abbott, T., Dau, C., Papineni, K., Snijder, R., Lambrecht, M., Wolfinger, R., Rogiers, S., Servan, A., Antoni, L., Pacoe, K., Robinson, P., Jaton, B., Bakkard, D., Turunen, H., Kilkku, O., Pohjanjousi, P., Voima, O., Nevalaita, L., Reich, C., Araujo, S., Longden-Chapman, E., Burke, D., Agapow, P., Derkits, S., Licour, M., McCrea, C., Payne, S., Yong, A., Thompson, L., Mare, S. Le, Bussmann, M, and Kotik, D.

Abstract

•Polygenic risk scores (PRS) can be used to predict risk of prostate cancer (PCa).•Based on meta-analysis, the ability of PRS to identify PCa was modest (AUC 0.63).•Combining PRS with clinical variables increased the pooled AUC to 0.74 (0.68-0.81).•PRS accuracy is comparable to PSA or family history.

Published
2023
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10. Elección de Medicina Familiar y Comunitaria en el MIR 2002-2023: un enfoque objetivo muestra que es una especialidad tan valorada como las hospitalarias

Author

Torres Moreno, M.P., Blanco Herrera, R., Vegas Fernández, L., and Alfaro Martínez, J.J.

Abstract

En la actualidad hay un déficit de médicos de familia, y se prevé que este aumente en los próximos años. A pesar de esta necesidad, es una especialidad supuestamente poco demandada, quedando en los últimos años plazas de formación especializada sin cubrir. El objeto de este estudio es presentar nuevos parámetros para medir de forma más objetiva la demanda y la relación entre la oferta y la demanda.

Published
2024
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11. INTRAVENOUS IMMUNOGLOBULIN SIDE EFFECT VERSUS TRUE NEURODEGENERATIVE DISEASE IN A PEDIATRIC PATIENT WITH X-LINKED AGAMMAGLOBULINEMIA

Author

Velazquez, V., Garcia, K., Herrera, R., Perez, C., and Morales, D.

Abstract

Progressive neurodegenerative disease (PND) in patients with X-linked agammaglobulinemia (XLA) is a rare central nervous complication that might develop in patients treated with immunoglobulin (IVIG). Few cases have been reported. However, multiple efforts attempted to unveil the condition's etiology, but no specific cause has been identified. Increased CD8+ T lymphocytes infiltrating the brain, antibody-independent mechanism, and IVIG therapy itself are some theories published by few authors to explain the etiology of the condition.

Published
2023
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12. Heat Waves: Physical Understanding and Scientific Challenges

Author

Barriopedro, D., García‐Herrera, R., Ordóñez, C., Miralles, D. G., and Salcedo‐Sanz, S.

Abstract

Heat waves (HWs) can cause large socioeconomic and environmental impacts. The observed increases in their frequency, intensity and duration are projected to continue with global warming. This review synthesizes the state of knowledge and scientific challenges. It discusses different aspects related to the definition, triggering mechanisms, observed changes and future projections of HWs, as well as emerging research lines on subseasonal forecasts and specific types of HWs. We also identify gaps that limit progress and delineate priorities for future research. Overall, the physical drivers of HWs are not well understood, partly due to difficulties in the quantification of their interactions and responses to climate change. Influential factors convey processes at different spatio‐temporal scales, from global warming and the large‐scale atmospheric circulation to regional and local factors in the affected area and upwind regions. Although some thermodynamic processes have been identified, there is a lack of understanding of dynamical aspects, regional forcings and feedbacks, and their future changes. This hampers the attribution of regional trends and individual events, and reduces the ability to provide accurate forecasts and regional projections. Sustained observational networks, models of diverse complexity, narrative‐based methodological approaches and artificial intelligence offer new opportunities toward process‐based understanding and interdisciplinary research. Heat waves (HWs) are climate extremes of major societal concern whose frequency, intensity and duration will continue increasing during this century. This review synthesizes the physical understanding and the main scientific challenges. We discuss problems involved in HW definition, including the diversity of HW indicators, and the consideration of adaptive capabilities in a changing climate. We also review observed and projected trends and the associated atmospheric patterns in different areas of the globe, with special attention to the mechanisms and drivers responsible for HW occurrence. These act at different scales, from planetary to local, and include thermodynamic and dynamical processes. There is a limited and fragmentary understanding of the interactions among these processes on regional scales, and their changes under global warming. Process‐based understanding will benefit HW forecasts at time horizons longer than weather predictions, attribution of HW trends and events to human activities, and regional climate projections. Improved technological capabilities, models of diverse complexity, or machine‐learning techniques will help overcome these challenges. Issues related to heat wave (HW) definition, simulation and causation prevent further advances and the provision of actionable informationThere is a fragmentary understanding of the physical drivers of HWs, their interactions, and responses to climate changeLarge ensembles of high‐resolution models, narrative‐based methodological approaches and artificial intelligence will help fill these gaps Issues related to heat wave (HW) definition, simulation and causation prevent further advances and the provision of actionable information There is a fragmentary understanding of the physical drivers of HWs, their interactions, and responses to climate change Large ensembles of high‐resolution models, narrative‐based methodological approaches and artificial intelligence will help fill these gaps

Published
2023
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13. Morphological, physicochemical, techno-functional, phytochemical, and antioxidant evaluation of polyembryonic and non-polyembryonic maize sprouts.

Author

Garcia-Ortiz, J.D., Flores-Gallegos, A.C., Espinoza-Velázquez, J., Ascacio-Valdés, J.A., Nery-Flores, S.D., and Rodríguez-Herrera, R.

Subjects
CORN, SPROUTS, GERMINATION, EXTRACTION techniques, ANTIOXIDANTS, POLYPHENOLS, TANNINS
Abstract

The growing demand for foods with better characteristics has led to the search for new alternatives, one of these being sprouts, of which polyembryonic maize kernels have been little studied. The objective of this work was to evaluate the morphological changes, as well as the physicochemical, techno-functional, phytochemical, and antioxidant properties of polyembryonic (Pem) and non-polyembryonic (NPem) corn sprouts at different germination times (0, 5, 10, and 15 days). Different analytical techniques as well as "green" extraction technique (Microwave-ultrasound) with various solvents were used to obtain phytochemicals. PEm "normal high polyembryony" (NAP) and NPEm "landrace" (CRO) maize showed higher growth (up to 24.7 and 30.6 cm) and moisture content (up to 89.5 and 87.7%). Overall protein content increased by up to 51% relative to the initial value, with higher PEm content (15.0 and 14.5% in "brachytic high polyembryony" (BAP) and NAP maize respectively). Fibre and protein content were negatively correlated with starch content. Likewise, the techno-functional properties improved, with higher values for NAP, BAP and CRO at 10 and 15 days of germination. PEm presented higher yields (13 times higher), higher content of hydrolysable polyphenols (553.08 ± 44.68 mg/100 g (BAP)) at 1/16 concentrations of 70% EtOH, and higher content of condensed tannins (1623.38 mg/100 g (NAP)) at 1/8 and 30% EtOH concentrations. Finally, PEm showed higher antioxidant activity which can be attributed to the content and presence of different polyphenols. The results indicate that sprouts produced from polyembryonic maize kernels present better physicochemical, phytochemical, techno-functional and antioxidant properties. • Germination increases components that improve techno-functional properties. • 15-day germination increases protein-rich tissue production by up to 50%. • Polyembryonic sprouts contain up to 9 times more polyphenols than non-polyembryonic. • Extractions with polyembryonic sprouts show yields between 1.37 and 2.86%. • Sprout extracts 1/12 (m/v) with EtOH 30% showed higher antioxidant activity. [ABSTRACT FROM AUTHOR]

Published
2023
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14. Microwave-ultrasound assisted extraction of red corn pigments and their effect on chemical composition and tecno-functional properties.

Author

Garcia-Ortiz, J.D., Flores-Gallegos, A.C., Ascacio-Valdés, J.A., López-Badillo, C.M., Nery-Flores, S.D., Esparza-González, S.C., and Rodríguez-Herrera, R.

Subjects
PIGMENTS, FOOD safety, CITRIC acid, STARCH, FLOUR, FAT
Abstract

Currently, there is a growing interest in obtaining natural pigments, without presenting a risk to health, as well as to the matrix and food safety. The objective of this study was to characterize grains with different shades of red color (High pigmentation maize = RA, Medium pigmentation maize = RM, and Low pigmentation maize = RB, reddish maize with white segments = VO and white maize control = SC). The physical properties (kernel weight, length, width, thickness, and grain and flour color), chemical composition (moisture, fat, protein, fiber, starch, ash, and minerals), and techno-functional properties (capacity of absorption of organic molecules (OMAC), swelling (CH), oil retention (CAAC), and water absorption (WAS)) variables were measured. Afterward, RM was selected, and a pigment extraction (EAUM) was carried out using microwave-ultrasound equipment with different ratios of ethanol (0, 30, and 70%) and citric acid ratios (0 and 1%). The color and properties of the solid (starch, protein, fat, and their techno-functional properties) were determined in the aqueous phase and were compared with the properties prior to EAUM. The results indicated that the red grains have higher starch content (57.6%) and reddish colors, in addition, VO presented higher moisture (10.4%), fat (6.7%) and fiber (10.0%). The colors of the pigments obtained with EtOH (30 and 70%) show shades red and yellow. Finally, the EAUM decreased the fat content up to 57%, increased WAS and CAAC in the residual flour and generated changes in OMAC and CH, increasing in aqueous medium and reducing with EtOH. [ABSTRACT FROM AUTHOR]

Published
2022
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15. Microwave-ultrasound hybrid technology assisted extraction of pigments with antioxidant potential from red corn

Author

García-Ortíz, J.D., Ascacio-Valdés, J.A., Nery-Flores, S.D., Sáenz-Galindo, A., Flores-Gallegos, A.C., and Rodríguez-Herrera, R.

Abstract

•Simultaneous microwave-ultrasound extraction allows 25% higher yields than separate extraction techniques.•Pigment red corns show higher content of condensed tannins.•Pigment of highly pigmented red corn has a higher content of hydrolysable phenols.•Pigment red corns are mainly composed of flavonoids.•Phytochemicals in red corn pigments confer antioxidant activity.

Published
2023
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16. Secular Variability of the Upwelling at the Canaries Latitude: An Instrumental Approach

Author

Gallego, D., García‐Herrera, R., Mohino, E., Losada, T., and Rodríguez‐Fonseca, B.

Abstract

In this research we make use of historical wind direction observations to assemble an instrumental upwelling intensity index (the so‐called Directional Upwelling Index [DUI]) for the coast of Northwest Africa between 26° and 33°N and from 1825 to 2014. The DUI is defined as the persistence of the alongshore winds at the coast and unlike other upwelling indices, it relies on observed wind direction solely, avoiding the suspected bias toward increasing wind speed of historical wind observations documented in previous research. We have found that between June and October, when the upwelling intensity in the area is at its seasonal maximum, the persistence of the north‐easterlies measured by the DUI is significantly related to the alongshore wind stress and subsequently with Sea Surface Temperature anomalies at the coast of NW Africa. The analysis of the DUI record does not display a consistent long‐term trend but an oscillatory behavior. At interannual time scales this variability can be linked to the changes in the strength and location of the subtropical north Atlantic high‐pressure center and at multidecadal scales, the upwelling seems mainly driven by the Atlantic Multidecadal Variability through the modulation exerted by this climatic pattern on the intensity of the Saharan low. Upwelling is a process in which sea water from intermediate depths rises toward the surface as a response to the wind friction along the west coast of continents. Upwelled water is rich in nutrients, creating areas of paramount importance for fisheries. A long‐standing hypothesis contends that upwelling might be intensified because of global warming, but due to the impediments to quantify the upwelling intensity for long periods, the scientific community still debates whether the upwelling is changing. We have used historical wind observations taken aboard ships sailing along the coast of Northwest Africa to show that there, during the last two centuries, upwelling has not increased but it has oscillated synchronically with the temperature of the North Atlantic. Historical wind direction observations are used to build a centennial‐long upwelling intensity series for the CanariesUpwelling at the Canaries shows trends highly dependent upon the period consideredNorth Atlantic Sea Surface Temperatures drive the upwelling intensity at the Canaries at multidecadal scales Historical wind direction observations are used to build a centennial‐long upwelling intensity series for the Canaries Upwelling at the Canaries shows trends highly dependent upon the period considered North Atlantic Sea Surface Temperatures drive the upwelling intensity at the Canaries at multidecadal scales

Published
2022
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