Web-based Reanalyses Intercomparison Tools (WRIT)
|Web-based Reanalysis Intercomparison Tools (WRIT) for Analysis and Comparison of Reanalyses and Other Datasets from BAMS, 2014.|
PSD is creating a set of web-based reanalyses comparison tools. Our first tool is a monthly plotting page that allows users to plot from various reanalyses. Plots include means, anomalies and climatologies. Users can also difference the various reanalyses for all three types of statistics (for any overlapping date in the reanalyses). Composites (averaging multiple dates) are available as well. We will add the ability to use our available climate timeseries (e.g. PNA) or your own time series to composite on.
Our second tool is a monthly timeseries extractor/analyzer. It extracts timeseries at specified lat/lon or lat/lon ranges and either plots the data, plots differences between reanalyses or does other types of analyses. We plan to add climate index timeseries to the page as well for comparison with the gridded reanalyses data.
Our third tool is a trajectory generator. It allows users to plot forward and backward trajectories from different reanalyses (currently NCEP R1, NCEP R2, and 20CR with more planned). Users can plot the trajectories of one or more levels on a single plot. The output is plotted on a map and is available as netCDF and as KMZ files suitable for Google Earth.
Our fourth tool is a distribution analyzer. It allows users to plot and compare the distributions of daily data during a season from different sources including different reanalyses (currently NCEP R1 and 20CR) and observed data. By using it, users can see where values have fallen historically and can see how different distribution assumptions impact the tails of the distribution.
Current Web Tools
We are exploring the feasibility of various tools. The features we hope to have are:
- Daily time scale composites
- Sub-Daily composites
- Temporal correlations of variables with index time series
- Spatial correlation comparing different reanalyses
- Creation and comparison of index timeseries such as the PNA from the various reanalyses