Links between topography, moisture fluxes pathways and precipitation over South America
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| 001 | 605470960 | ||
| 003 | CHVBK | ||
| 005 | 20210128100330.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 210128e20150801xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s00382-014-2309-z |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s00382-014-2309-z | ||
| 245 | 0 | 0 | |a Links between topography, moisture fluxes pathways and precipitation over South America |h [Elektronische Daten] |c [Ramiro Saurral, Inés Camilloni, Tércio Ambrizzi] |
| 520 | 3 | |a The Andes Cordillera plays a role in driving moisture and heat from tropical onto subtropical South America. It forces the development of a lee-side trough that covers most of western Argentina and a low-level jet that maximizes over Paraguay, eastern Bolivia and northern Argentina and is tightly linked to precipitation variability over much of central and southeastern South America. Its steep slopes and the large zonal gradients in topography between the Equator and 40°S are misrepresented in climate simulations using Global Climate Models (GCM) with resolutions coarser than about 100km, since they naturally have a poor representation of the Andes and related circulation features. This paper analyses the impact of varying artificially the altitude of the Andes Cordillera in a GCM as well as increasing the horizontal resolution to study how these variations determine moisture fluxes and precipitation over selected regions of South America. Results show that the height of the Andes is crucial in shaping moisture fluxes pathways onto subtropical South America all year long. In particular, the low-level jet is only simulated when the Andes heights are doubled. At the same time, the relationship between the Andes shape and the location of the Bolivian High in summer is also discussed. In terms of precipitation, the lowest bias in the simulations is achieved when the horizontal resolution is increased, while in particular near the Andes foothills the simulated annual rainfall is largely determined by the Mountains shape. | |
| 540 | |a Springer-Verlag Berlin Heidelberg, 2014 | ||
| 690 | 7 | |a Andes Cordillera |2 nationallicence | |
| 690 | 7 | |a South American climate |2 nationallicence | |
| 690 | 7 | |a Precipitation |2 nationallicence | |
| 690 | 7 | |a Global climate models |2 nationallicence | |
| 700 | 1 | |a Saurral |D Ramiro |u Departamento de Ciencias de la Atmósfera y los Océanos (DCAO; FCEN, UBA), Centro de Investigaciones del Mar y la Atmósfera (CIMA; UBA-CONICET), UMI-IFAECI/CNRS, Buenos Aires, Argentina |4 aut | |
| 700 | 1 | |a Camilloni |D Inés |u Departamento de Ciencias de la Atmósfera y los Océanos (DCAO; FCEN, UBA), Centro de Investigaciones del Mar y la Atmósfera (CIMA; UBA-CONICET), UMI-IFAECI/CNRS, Buenos Aires, Argentina |4 aut | |
| 700 | 1 | |a Ambrizzi |D Tércio |u Institute of Astronomy, Geophysics and Atmospheric Sciences, University of São Paulo, São Paulo, Brazil |4 aut | |
| 773 | 0 | |t Climate Dynamics |d Springer Berlin Heidelberg |g 45/3-4(2015-08-01), 777-789 |x 0930-7575 |q 45:3-4<777 |1 2015 |2 45 |o 382 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00382-014-2309-z |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s00382-014-2309-z |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Saurral |D Ramiro |u Departamento de Ciencias de la Atmósfera y los Océanos (DCAO; FCEN, UBA), Centro de Investigaciones del Mar y la Atmósfera (CIMA; UBA-CONICET), UMI-IFAECI/CNRS, Buenos Aires, Argentina |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Camilloni |D Inés |u Departamento de Ciencias de la Atmósfera y los Océanos (DCAO; FCEN, UBA), Centro de Investigaciones del Mar y la Atmósfera (CIMA; UBA-CONICET), UMI-IFAECI/CNRS, Buenos Aires, Argentina |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Ambrizzi |D Tércio |u Institute of Astronomy, Geophysics and Atmospheric Sciences, University of São Paulo, São Paulo, Brazil |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Climate Dynamics |d Springer Berlin Heidelberg |g 45/3-4(2015-08-01), 777-789 |x 0930-7575 |q 45:3-4<777 |1 2015 |2 45 |o 382 | ||