Articles | Volume 24, issue 13
https://doi.org/10.5194/acp-24-7637-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-24-7637-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Jul 2024
Research article |
| 05 Jul 2024
| 05 Jul 2024
The marinada fall wind in the eastern Ebro sub-basin: physical mechanisms and role of the sea, orography and irrigation
Centre National de Recherches Météorologiques, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Maria Antonia Jimenez
Grup de Meteorologia, Universitat de les Illes Balears, Palma, Spain
Joan Cuxart
Grup de Meteorologia, Universitat de les Illes Balears, Palma, Spain
Daniel Martinez-Villagrasa
Grup de Meteorologia, Universitat de les Illes Balears, Palma, Spain
Aaron Boone
Centre National de Recherches Météorologiques, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Patrick Le Moigne
Centre National de Recherches Météorologiques, Université de Toulouse, Météo-France, CNRS, Toulouse, France
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Land surface models (LSMs) are essential tools to analyze future climate change. Here we pushed state-of-the-art LSMs out of their comfort zone revealing hidden connections between processes encoded into the models. The LSMs reacted differently due to complex, sometimes counter-intuitive interactions of different water fluxes. We identified surface runoff and soil evaporation as the two main reasons behind model differences, which should be improved by using more mechanistic descriptions.
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A drought index is developed that quantifies drought on an annual scale, making it applicable to monitoring clay shrinkage damage to buildings. A comparison with the number of insurance claims for subsidence shows that the presence of trees near individual houses must be taken into account. Significant soil moisture droughts occurred in France in 2003, 2018, 2019, 2020, and 2022. Particularly high index values are observed in 2022. It is found that droughts will become more severe in the future.
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The snowpack has a major impact on the land surface energy budget. Accurate simulation of the snowpack energy budget is difficult, and studies that evaluate models against energy budget observations are rare. We compared predictions from well-known models with observations of energy budgets, snow depths and soil temperatures in Finland. Our study identified contrasting strengths and limitations for the models. These results can be used for choosing the right models depending on the use cases.
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Seven instrumented lysimeters are used to assess the simulation of the soil water dynamic in one land surface model. Four water potential and hydraulic conductivity closed-form equations, including one mixed form, are evaluated. One form is more relevant for simulating drainage, especially during intense drainage events. The soil profile heterogeneity of one parameter of the closed-form equations is shown to be important.
Malak Sadki, Simon Munier, Aaron Boone, and Sophie Ricci
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Predicting water resource evolution is a key challenge for the coming century.
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Jaime Gaona, Pere Quintana-Seguí, María José Escorihuela, Aaron Boone, and María Carmen Llasat
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Droughts represent a particularly complex natural hazard and require explorations of their multiple causes. Part of the complexity has roots in the interaction between the continuous changes in and deviation from normal conditions of the atmosphere and the land surface. The exchange between the atmospheric and surface conditions defines feedback towards dry or wet conditions. In semi-arid environments, energy seems to exceed water in its impact over the evolution of conditions, favoring drought.
Patrick Le Moigne, Eric Bazile, Anning Cheng, Emanuel Dutra, John M. Edwards, William Maurel, Irina Sandu, Olivier Traullé, Etienne Vignon, Ayrton Zadra, and Weizhong Zheng
The Cryosphere, 16, 2183–2202, https://doi.org/10.5194/tc-16-2183-2022, https://doi.org/10.5194/tc-16-2183-2022, 2022
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This paper describes an intercomparison of snow models, of varying complexity, used for numerical weather prediction or academic research. The results show that the simplest models are, under certain conditions, able to reproduce the surface temperature just as well as the most complex models. Moreover, the diversity of surface parameters of the models has a strong impact on the temporal variability of the components of the simulated surface energy balance.
Antoine Sobaga, Bertrand Decharme, Florence Habets, Christine Delire, Noële Enjelvin, Paul-Olivier Redon, Pierre Faure-Catteloin, and Patrick Le Moigne
EGUsphere, https://doi.org/10.5194/egusphere-2022-274, https://doi.org/10.5194/egusphere-2022-274, 2022
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Seven instrumented lysimeters are used to assess the simulation of the soil water dynamic in one land surface model. Three water potential and hydraulic conductivity closed-form equations including one mixed form are evaluated. The mixed form is more relevant to simulate drainage especially during intense drainage events. Soil profile heterogeneity of one parameter of the closed-form equations is shown to be important.
Cited articles
Ali, E. and Cramer, W.: CCP 4 Mediterranean Region, IPCC, Tech. rep., Intergovernmental Panel on Climate Change, https://doi.org/10.1017/9781009325844.021, 2022. a
Bougeault, P. and Lacarrère, P.: Parameterization of Orography-Induced Turbulence in a Mesobeta-Scale Model, Mon. Weather Rev., 117, 1872–1890, https://doi.org/10.1175/1520-0493(1989)117<1872:POOITI>2.0.CO;2, 1989. a
Calvet, J.-C., Noilhan, J., Roujean, J.-L., Bessemoulin, P., Cabelguenne, M., Olioso, A., and Wigneron, J.-P.: An interactive vegetation SVAT model tested against data from six contrasting sites, Agr. Forest Meteorol., 92, 73–95, 1998. a
Capel Molina, J.: La presión atmosférica y los vientos del Monzón Ibérico en la Península Ibérica: Reflexiones sobre el Monzón Ibérico, Nimbus: Revista de climatología, meteorología y paisaje, 4, 5–60, 1999. a
Charnock, H.: Wind Stress on a Water Surface, Q. J. Roy. Meteorol. Soc., 81, 639–640, https://doi.org/10.1002/qj.49708135027, 1955. a
Confederación Hidrográfica del Ebro: Índices mensuales de Sequia, https://www.chebro.es/fr/web/guest/indices-mensuales (last access: 2 July 2024), 2023. a
Cosby, B. J., Hornberger, G. M., Clapp, R. B., and Ginn, T. R.: A Statistical Exploration of the Relationships of Soil Moisture Characteristics to the Physical Properties of Soils, Water Resour. Res., 20, 682–690, https://doi.org/10.1029/WR020i006p00682, 1984. a
Courant, R., Friedrichs, K., and Lewy, H.: On the partial difference equations of mathematical physics, AEC Research and Development Report, NYO-7689, 1956. a
Crosman, E. T. and Horel, J. D.: Sea and Lake Breezes: A Review of Numerical Studies, Bound.-Lay. Meteorol., 137, 1–29, https://doi.org/10.1007/s10546-010-9517-9, 2010. a, b, c, d
Cuxart, J., Bougeault, P., and Redelsperger, J.-L.: A turbulence scheme allowing for mesoscale and large-eddy simulations, Q. J. Roy. Meteorol. Soc., 126, 1–30, https://doi.org/10.1256/qj.03.130, 2000. a
Cuxart, J., Cunillera, J., Jiménez, M. A., Martínez, D., Molinos, F., and Palau, J. L.: Study of Mesobeta Basin Flows by Remote Sensing, Bound.-Lay. Meteorol., 143, 143–158, https://doi.org/10.1007/s10546-011-9655-8, 2012. a, b, c
Cuxart, J., Jiménez, M. A., Prtenjak Telišman, M., and Grisogono, B.: Study of a sea-breeze case through momentum, temperature, and turbulence budgets, J. Appl. Meteorol. Clim., 53, 2589–2609, https://doi.org/10.1175/JAMC-D-14-0007.1, 2014. a, b
De Wekker, S. F. and Kossmann, M.: Convective boundary layer heights over mountainous terrain—A review of concepts, Front. Earth Sci., 3, 1–22, https://doi.org/10.3389/feart.2015.00077, 2015. a
Decharme, B., Boone, A., Delire, C., and Noilhan, J.: Local evaluation of the Interaction between Soil Biosphere Atmosphere soil multilayer diffusion scheme using four pedotransfer functions, J. Geophys. Res.-Atmos., 116, 1–29, https://doi.org/10.1029/2011JD016002, 2011. a
Drobinski, P., Alonzo, B., Basdevant, C., Cocquerez, P., Doerenbecher, A., Fourrié, N., and Nuret, M.: Lagrangian dynamics of themistral during the HyMeX SOP2, J. Geophys. Res., 122, 1387–1402, https://doi.org/10.1002/2016JD025530, 2017. a
Durran, D.: Downslope Winds, in: Encyclopedia of Atmospheric Sciences, Academic Press, Oxford, 644–650, https://doi.org/10.1016/b0-12-227090-8/00288-8, 2003. a
Enger, L. and Grisogono, B.: The response of bora-type flow to sea surface temperature, Q. J. Roy. Meteorol. Soc., https://doi.org/10.1002/qj.49712454810, 1998. a
Faroux, S., Kaptué Tchuenté, A. T., Roujean, J.-L., Masson, V., Martin, E., and Le Moigne, P.: ECOCLIMAP-II/Europe: a twofold database of ecosystems and surface parameters at 1 km resolution based on satellite information for use in land surface, meteorological and climate models, Geosci. Model Dev., 6, 563–582, https://doi.org/10.5194/gmd-6-563-2013, 2013. a
Favà, V., Curto, J. J., and Llasat, M. C.: Changes in summer temperatures and rainfall in the northeastern Iberian Peninsula in the late 1960s and the weakening of the Iberian thermal low, Meteorol. Atmos. Phys., 131, 1367–1386, https://doi.org/10.1007/s00703-018-0643-0, 2019. a, b
Grisogono, B. and Belusic, D.: A review of recent advances in understanding the meso and microscale properties of the severe Bora wind, Tellus A, 61, 1–16, https://doi.org/10.1111/j.1600-0870.2008.00369.x, 2008. a, b, c
Haiden, T.: On the pressure field in the slope wind layer, J. Atmos. Sci., 60, 1632–1635, https://doi.org/10.1175/1520-0469(2003)60<1632:OTPFIT>2.0.CO;2, 2003. a, b
Heinemann, G.: The KABEG'97 field experiment: An aircraft-based study of Katabatic wind dynamics over the Greenland ice sheet, Bound.-Lay. Meteorol., 93, 75–116, https://doi.org/10.1023/A:1002009530877, 1999. a
Hoinka, K. P. and De Castro, M.: The Iberian Peninsula thermal low, Q. J. Roy. Meteor. Soc., 129, 1491–1511, https://doi.org/10.1256/qj.01.189, 2003. a, b
Hughes, M. and Hall, A.: Local and synoptic mechanisms causing Southern California's Santa Ana winds, Clim. Dynam., 34, 847–857, https://doi.org/10.1007/s00382-009-0650-4, 2010. a, b, c
Jiang, Q., Wang, Q., and Gabersek, S.: Mesoscale Variability of Surface Ducts During Santa Ana Wind Episodes, J. Geophys. Res.-Atmos., 127, e2022JD036698, https://doi.org/10.1029/2022JD036698, 2022. a, b
Jiménez, P. A., González-Rouco, J. F., Montávez, J. P., García-Bustamante, E., and Navarro, J.: Climatology of wind patterns in the northeast of the Iberian Peninsula, Int. J. Climatol., 29, 501–525, https://doi.org/10.1002/joc.1705, 2009. a, b
Jurčec, V.: On mesoscale characteristics of bora conditions in Yugoslavia, Pure Appl. Geophys., 119, 640–657, https://doi.org/10.1007/BF00878165, 1981. a
Lac, C., Chaboureau, J.-P., Masson, V., Pinty, J.-P., Tulet, P., Escobar, J., Leriche, M., Barthe, C., Aouizerats, B., Augros, C., Aumond, P., Auguste, F., Bechtold, P., Berthet, S., Bielli, S., Bosseur, F., Caumont, O., Cohard, J.-M., Colin, J., Couvreux, F., Cuxart, J., Delautier, G., Dauhut, T., Ducrocq, V., Filippi, J.-B., Gazen, D., Geoffroy, O., Gheusi, F., Honnert, R., Lafore, J.-P., Lebeaupin Brossier, C., Libois, Q., Lunet, T., Mari, C., Maric, T., Mascart, P., Mogé, M., Molinié, G., Nuissier, O., Pantillon, F., Peyrillé, P., Pergaud, J., Perraud, E., Pianezze, J., Redelsperger, J.-L., Ricard, D., Richard, E., Riette, S., Rodier, Q., Schoetter, R., Seyfried, L., Stein, J., Suhre, K., Taufour, M., Thouron, O., Turner, S., Verrelle, A., Vié, B., Visentin, F., Vionnet, V., and Wautelet, P.: Overview of the Meso-NH model version 5.4 and its applications, Geosci. Model Dev., 11, 1929–1969, https://doi.org/10.5194/gmd-11-1929-2018, 2018 (code available at: http://mesonh.aero.obs-mip.fr/, last access: 2 July 2024). a, b
Lawston, P. M., Santanello, J. A., Hanson, B., and Arsensault, K.: Impacts of irrigation on summertime temperatures in the pacific northwest, Earth Interact., 24, 1–26, https://doi.org/10.1175/EI-D-19-0015.1, 2020. a
Lobell, D., Bala, G., Mirin, A., Phillips, T., Maxwell, R., and Rotman, D.: Regional Differences in the Influence of Irrigation on Climate, J. Climate, 22, 2248–2255, https://doi.org/10.1175/2008JCLI2703.1, 2008. a
Lothon, M.: LIAISE_ELS-PLANS_LAERO_UHFWindProfiler-LowMode_L2, Aeris [data set], https://doi.org/10.25326/363, 2022. a
Lunel, T., Boone, A. A., and Moigne, P. L.: Irrigation Strongly Influences Near-Surface Conditions and Induces Breeze Circulation: Observational and Model-Based Evidence, Q. J. Roy. Meteor. Soc., online first, https://doi.org/10.1002/qj.4736, 2024. a, b, c, d
Mahrt, L.: Momentum balance of gravity flows, J. Atmos. Sci., 39, 2701–2711, https://doi.org/10.1175/1520-0469(1982)039<2701:MBOGF>2.0.CO;2, 1982. a
Masson, V.: A Physically-Based Scheme For The Urban Energy Budget In Atmospheric Models, Bound.-Lay. Meteorol., 94, 357–397, https://doi.org/10.1023/A:1002463829265, 2000. a
Masson, V. and Bougeault, P.: Numerical Simulation of a Low-level Wind created Complex Orography: A Cierzo Case Study, Mon. Weather Rev., 124, 701–715, https://doi.org/10.1175/1520-0493(1996)124<0701:NSOALL>2.0.CO;2, 1996. a
Masson, V., Le Moigne, P., Martin, E., Faroux, S., Alias, A., Alkama, R., Belamari, S., Barbu, A., Boone, A., Bouyssel, F., Brousseau, P., Brun, E., Calvet, J.-C., Carrer, D., Decharme, B., Delire, C., Donier, S., Essaouini, K., Gibelin, A.-L., Giordani, H., Habets, F., Jidane, M., Kerdraon, G., Kourzeneva, E., Lafaysse, M., Lafont, S., Lebeaupin Brossier, C., Lemonsu, A., Mahfouf, J.-F., Marguinaud, P., Mokhtari, M., Morin, S., Pigeon, G., Salgado, R., Seity, Y., Taillefer, F., Tanguy, G., Tulet, P., Vincendon, B., Vionnet, V., and Voldoire, A.: The SURFEXv7.2 land and ocean surface platform for coupled or offline simulation of earth surface variables and fluxes, Geosci. Model Dev., 6, 929–960, https://doi.org/10.5194/gmd-6-929-2013, 2013. a, b
Miao, J. F., Kroon, L. J., Vilà-Guerau de Arellano, J., and Holtslag, A. A.: Impacts of topography and land degradation on the sea breeze over eastern Spain, Meteorol. Atmos. Phys., 84, 157–170, https://doi.org/10.1007/s00703-002-0579-1, 2003. a, b, c
Miller, S. T., Keim, B. D., Talbot, R. W., and Mao, H.: Sea breeze: Structure, forecasting, and impacts, Rev. Geophys., 41, 1011, https://doi.org/10.1029/2003RG000124, 2003. a, b
Mlawer, E. J., Taubman, S. J., Brown, P. D., Iacono, M. J., and Clough, S. A.: Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave, J. Geophys. Res.-Atmos., 102, 16663–16682, https://doi.org/10.1029/97jd00237, 1997. a
Morcrette, J.-J.: Radiation and cloud radiative properties in the European Centre for Medium Range Weather Forecasts forecasting system, J. Geophys. Res.-Atmos., 96, 9121–9132, https://doi.org/10.1029/89JD01597, 1991. a
Nachtergaele, F., van Velthuizen, H., Verelst, L., Batjes, N. H., Dijkshoorn, K., van Engelen, V. W. P., Fischer, G., Jones, A., and Montanarela, L.: The harmonized world soil database, in: Proceedings of the 19th World Congress of Soil Science, Soil Solutions for a Changing World, Brisbane, Australia, 1–6 August 2010, pp. 34–37, 2010. a
Noilhan, J. and Mahfouf, J.-F.: The ISBA land surface parameterisation scheme, Global Planet. Change, 13, 145–159, 1996. a
Noilhan, J. and Planton, S.: A Simple Parameterization of Land Surface Processes for Meteorological Models, Mon. Weather Rev., 117, 536–549, https://doi.org/10.1175/1520-0493(1989)117<0536:ASPOLS>2.0.CO;2, 1989. a
Noual, G., Brunet, Y., Moigne, P. L., and Lac, C.: Simulating the effects of regional forest cover changes on mid-latitude boundary-layer clouds, J. Geophys. Res.-Atmos., 128, e2023JD038477, https://doi.org/10.1029/2023JD038477, 1–46, 2023. a
Ortega, M., Sánchez, E., Gutiérrez, C., Molina, M. O., and López-Franca, N.: Regional winds over the Iberian Peninsula (Cierzo, Levante and Poniente) from high-resolution COSMO-REA6 reanalysis, Int. J. Climatol., 43, 1016–1033, https://doi.org/10.1002/joc.7860, 2022. a, b, c, d
Orville, H. D.: On Mountain Upslope Winds, J. Atmos. Sci., 21, 622–633, https://doi.org/10.1175/1520-0469(1964)021<0622:OMUW>2.0.CO;2, 1964. a
Pergaud, J., Masson, V., Malardel, S., and Couvreux, F.: A parameterization of dry thermals and shallow cumuli for mesoscale numerical weather prediction, Bound.-Lay. Meteorol., 132, 83–106, https://doi.org/10.1007/s10546-009-9388-0, 2009. a
Pettré, P.: On the Problem of Violent Valley Winds, J. Atmos. Sci., 39, 542–554, https://doi.org/10.1175/1520-0469(1982)039<0542:OTPOVV>2.0.CO;2, 1981. a, b
Pokhrel, R. and Lee, H.: Estimation of the effective zone of sea/land breeze in a coastal area, Atmos. Pollt. Res., 2, 106–115, https://doi.org/10.5094/APR.2011.013, 2011. a
Poljak, G., Prtenjak, M. T., Kvakić, M., Strelec Mahović, N., and Babić, K.: Wind patterns associated with the development of daytime thunderstorms over Istria, Ann. Geophys., 32, 401–420, https://doi.org/10.5194/angeo-32-401-2014, 2014. a
Porson, A., Steyn, D. G., and Schayes, G.: Sea-breeze scaling from numerical model simulations, part II: Interaction between the sea breeze and slope flows, Bound.-Lay. Meteorol., 122, 31–41, https://doi.org/10.1007/s10546-006-9092-2, 2007. a
Poulos, G. and Zhong, S. S.: An observational history of small-scale katabatic winds in mid-latitudes, Geography Compass, 2, 1798–1821, https://doi.org/10.1111/j.1749-8198.2008.00166.x, 2008. a
Price, J.: LIAISE_ELS-PLANS_UKMO_MTO-30MIN_L2, Aeris [data set], https://doi.org/10.25326/430, 2023a. a
Price, J.: LIAISE_ELS-PLANS_UKMO_radiosondes_L1, Aeris [data set], https://doi.org/10.25326/429, 2023b. a
Redaño, A., Cruz, J., and Lorente, J.: Main features of the sea-breeze in Barcelona, Meteorol. Atmos. Phys., 46, 175–179, https://doi.org/10.1007/BF01027342, 1991. a, b
Segal, M. and Arritt, R. W.: Nonclassical mesoscale circulations caused by surface sensible heat- flux gradients, B. Am. Meteorol. Soc., 73, 1593–1604, https://doi.org/10.1175/1520-0477(1992)073<1593:NMCCBS>2.0.CO;2, 1992. a
Serafin, S. and Zardi, D.: Structure of the atmospheric boundary layer in the vicinity of a developing upslope flow system: A numerical model study, J. Atmos. Sci., 67, 1171–1185, https://doi.org/10.1175/2009JAS3231.1, 2010. a, b, c
Servei Meteorològic de Catalunya: Les Estacions Meteorològiques Automàtiques (EMA), Tech. rep., Generalitat de Catalunya, Departament de Territori i Sostenibilitat, B-18309-2011, 2011. a
Shrestha, P., Kurtz, W., Vogel, G., Schulz, J. P., Sulis, M., Hendricks Franssen, H. J., Kollet, S., and Simmer, C.: Connection Between Root Zone Soil Moisture and Surface Energy Flux Partitioning Using Modeling, Observations, and Data Assimilation for a Temperate Grassland Site in Germany, J. Geophys. Res.-Biogeo., 123, 2839–2862, https://doi.org/10.1029/2016JG003753, 2018. a
Simpson, J. E., Mansfield, D. A., and Milford, J. R.: Inland penetration of sea-breeze fronts, Q. J. Roy. Meteor. Soc., 103, 47–76, https://doi.org/10.1002/qj.49710343504, 1977. a, b, c
Smith, R. B.: Aerial Observations of the Yugoslavian Bora, J. Atmos. Sci., 44, 269–297, https://doi.org/10.1175/1520-0469(1987)044<0269:AOOTYB>2.0.CO;2, 1987. a, b, c
Sorooshian, S., Li, J., Hsu, K.-l., and Gao, X.: How significant is the impact of irrigation on the local hydroclimate in California's Central Valley? Comparison of model results with ground and remote-sensing data, J. Geophys. Res.-Atmos., 116, D06102, https://doi.org/10.1029/2010JD014775, 2011. a
Sridhar, V.: Tracking the Influence of Irrigation on Land Surface Fluxes and Boundary Layer Climatology, Journal of Contemporary Water Research and Education, 152, 79–93, https://doi.org/10.1111/j.1936-704x.2013.03170.x, 2013. a
Sutton, R. T., Dong, B., and Gregory, J. M.: Land/sea warming ratio in response to climate change: IPCC AR4 model results and comparison with observations, Geophys. Res. Lett., 34, 2–6, https://doi.org/10.1029/2006GL028164, 2007. a
Tudurí, E., Romero, R., López, L., García, E., Sánchez, J. L., and Ramis, C.: The 14 July 2001 hailstorm in northeastern Spain: Diagnosis of the meteorological situation, Atmos. Res., 67–68, 541–558, https://doi.org/10.1016/S0169-8095(03)00072-3, 2003. a
Yu, Y., Cai, X., King, J. C., and Renfrew, I. A.: Numerical Simulations of Katabatic Jumps in Coats Land, Antartica, Bound.-Lay. Meteorol., 114, 413–437, https://doi.org/10.1007/s10546-004-9564-1, 2005. a, b
Short summary
During the summer in Catalonia, a cool wind, the marinada, blows into the eastern Ebro basin in the afternoon. This study investigates its previously unclear dynamics using observations and a meteorological model. It is found to be driven by a cool marine air mass that flows over the mountains into the basin. The study shows how the sea breeze, upslope winds, larger weather patterns and irrigation play a prominent role in the formation and characteristics of the marinada.
During the summer in Catalonia, a cool wind, the marinada, blows into the eastern Ebro basin in...
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