The Atlantic ITCZ bias in CMIP5 models
| LEADER | caa a22 4500 | ||
|---|---|---|---|
| 001 | 605471932 | ||
| 003 | CHVBK | ||
| 005 | 20210128100335.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 210128e20150901xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s00382-014-2366-3 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s00382-014-2366-3 | ||
| 245 | 0 | 4 | |a The Atlantic ITCZ bias in CMIP5 models |h [Elektronische Daten] |c [Angela Siongco, Cathy Hohenegger, Bjorn Stevens] |
| 520 | 3 | |a Precipitation over the tropical Atlantic in 24 atmospheric models is analyzed using an object-based approach, which clusters rainy areas in the models as precipitation objects and calculates their properties such as size, amplitude, and location. Based on the distribution of precipitation objects over land and over ocean, two classes of models emerge. The first class of models has a reasonable representation of objects over land but misplaces the ocean object westward, near the coast of Brazil, instead of the central Atlantic as observed. The second class of models show small-sized objects over land with intense precipitation values; for these models, the ocean object is located eastward, near the coast of Guinea. The Atlantic intertropical convergence zone structure in the models exhibits either the West or the East Atlantic bias. No model matches the observed precipitation distribution. The two distinct model behaviors in the mean state are traced to the coastal precipitation bias of the models in boreal spring. In this season, the two model groups place the main precipitation object on opposite coasts—one group puts it at the south coast of Brazil and the other group places it at the Gulf of Guinea. This west-east partitioning of precipitation is sustained in boreal summer, resulting in the West and East Atlantic bias in the annual mean. It is found that models with the East Atlantic bias tend to be high resolution models which rain excessively over the Gulf of Guinea starting from boreal spring. | |
| 540 | |a The Author(s), 2014 | ||
| 690 | 7 | |a GCM biases |2 nationallicence | |
| 690 | 7 | |a Precipitation |2 nationallicence | |
| 690 | 7 | |a Tropical Atlantic |2 nationallicence | |
| 690 | 7 | |a Resolution |2 nationallicence | |
| 700 | 1 | |a Siongco |D Angela |u Max Planck Institute for Meteorology, Bundesstrasse 53, 20146, Hamburg, Germany |4 aut | |
| 700 | 1 | |a Hohenegger |D Cathy |u Max Planck Institute for Meteorology, Bundesstrasse 53, 20146, Hamburg, Germany |4 aut | |
| 700 | 1 | |a Stevens |D Bjorn |u Max Planck Institute for Meteorology, Bundesstrasse 53, 20146, Hamburg, Germany |4 aut | |
| 773 | 0 | |t Climate Dynamics |d Springer Berlin Heidelberg |g 45/5-6(2015-09-01), 1169-1180 |x 0930-7575 |q 45:5-6<1169 |1 2015 |2 45 |o 382 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00382-014-2366-3 |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/s00382-014-2366-3 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Siongco |D Angela |u Max Planck Institute for Meteorology, Bundesstrasse 53, 20146, Hamburg, Germany |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Hohenegger |D Cathy |u Max Planck Institute for Meteorology, Bundesstrasse 53, 20146, Hamburg, Germany |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Stevens |D Bjorn |u Max Planck Institute for Meteorology, Bundesstrasse 53, 20146, Hamburg, Germany |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Climate Dynamics |d Springer Berlin Heidelberg |g 45/5-6(2015-09-01), 1169-1180 |x 0930-7575 |q 45:5-6<1169 |1 2015 |2 45 |o 382 | ||