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Projection of future climate change conditions using IPCC simulations, neural networks and Bayesian statistics. Part 2: Precipitation mean state and seasonal cycle in South America
- Source :
- Climate Dynamics, Climate Dynamics, Springer Verlag, 2006, 28 (2-3), pp.255-271. ⟨10.1007/s00382-006-0182-0⟩, Climate Dynamics, 2006, 28 (2-3), pp.255-271. ⟨10.1007/s00382-006-0182-0⟩
- Publication Year :
- 2006
- Publisher :
- Springer Science and Business Media LLC, 2006.
- Subjects :
- MODELE MATHEMATIQUE
RESEAU NEURONAL
Atmospheric Science
VARIATION SAISONNIERE
010504 meteorology & atmospheric sciences
[SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph]
[SDE.MCG]Environmental Sciences/Global Changes
0207 environmental engineering
INTELLIGENCE ARTIFICIELLE
[PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph]
02 engineering and technology
01 natural sciences
VARIATION ANNUELLE
CHANGEMENT CLIMATIQUE
MODELE CLIMATIQUE
020701 environmental engineering
ANALYSE STATISTIQUE
0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 14320894 and 09307575
- Volume :
- 28
- Database :
- OpenAIRE
- Journal :
- Climate Dynamics
- Accession number :
- edsair.doi.dedup.....662d6f5cd53b6024a39ea5bcb2fdb128