Earth Sciences

One important step in Numerical Weather/Climate Prediction is the combination of the model first guess with observations in a process called data assimilation. This important information is used both as the initial condition for the next forecast as well as to study weather and climate. However, as stated by NCEP scientists “ …These analyses are very inhomogeneous in time as there have been big improvements in the data assimilation systems. This played havoc with climate monitoring as these improvements were often produced changes in the apparent “climate”….” (Please, see next subsection for detailed information). The way found to improve this problem was to make analysis for the past years with a frozen global analysis system and use all available observations as some of them could not be assimilated in time on the daily operational forecasting ([#NCEP-NCAR Kalnay et al., 1996]). This process is called reanalysis, or reconstructions.

In the table below, are listed all the different datasets present in esnas. If nothing is specified after the dataset, it is because it has not been formatted (yet) but you can ask the person who first downloaded the data (see BSC contact point column).

Details about the datasets (to be merged)