A Guide to Empirical Orthogonal Functions for Climate Data Analysis
Climatology and meteorology have basically been a descriptive science until it became possible to use numerical models, but it is crucial to the success of the strategy that the model must be a good representation of the real climate system of the Earth. Models are required to reproduce not only the...
Main Authors: | Navarra, Antonio (Author), Simoncini, Valeria (Author) |
---|---|
Corporate Author: | SpringerLink (Online service) |
Format: | Electronic eBook |
Language: | English |
Published: |
Dordrecht :
Springer Netherlands,
2010.
|
Subjects: | |
Online Access: | Full Text via HEAL-Link |
Similar Items
-
Machine Learning and Data Mining Approaches to Climate Science Proceedings of the 4th International Workshop on Climate Informatics /
Published: (2015) -
Climate Variability and Extremes during the Past 100 Years
Published: (2008) -
Marine Climate and Climate Change Storms, Wind Waves and Storm Surges /
by: Weisse, Ralf, et al.
Published: (2010) -
High-Impact Weather Events over the SAARC Region
Published: (2015) -
Climate of the Romanian Carpathians Variability and Trends /
by: Micu, Dana Magdalena, et al.
Published: (2015)