Dataset tab- import from text files in arbitrary format, or in one of the pre-defined formats;
- view and edit metadata (and raw data);
- transform time series: temporal aggregation, and ratio of time series;
- export time series.
Scope tab- import from a database of rainfall stations (currently Bureau of Meteorology), with iterative refinement of space and time bounds;
- timeline plot showing missing values and quality codes;
- site map showing locations of sites, catchment boundary, coastlines, etc.
Summary tab- text summary of missing values in dataset, and ranges of observed values.
Basic plots tab- flexible time series plots, can include aggregated or smoothed data;
- plot distributions of values compared between sites;
- plot distributions of values compared between seasons.
Impute tab- impute data values at one site based on values at other sites:
- Correlation method: use sites with best correlation;
- Distance method: inverse distance weighting;
- Constant method: carry last observation forward, or use mean etc;
- disaccumulate accumulated rainfall values, based on results of imputing;
- plot predicted (imputed) vs actual data values;
- plot distribution of imputed values when data is missing vs when data is not missing (check Missing At Random).
Areal rainfall tab- plot time-series of multiple rain gauges on a map. You can step through the maps day-by-day to see how each storm evolves. This is useful for finding errors;
- plot average rainfall map for the chosen time period;
- plot average rainfall map compared between seasons;
- plot average rainfall map for each year of record;
- plot Thiessen polygons (aka "Voronoi mosaic");
- estimate catchment areal rainfall by Thiessen polygon method;
- plot a sequence of spatial grids (external files) with dates;
- calculate average gridded value inside catchment for a sequence of grids: to estimate a coarse areal rainfall series;
- estimate catchment areal rainfall by Thiessen polygon method, with "downscaling" from gridded areal rainfall series: the original data is scaled to be consistent with the spatial grids.
Multivariate tab- plot annual time series of cross-correlation/lag between pairs of sites (usually multiple rain series compared to one stream flow series);
- plot rainfall-runoff relationship, showing many rainfall series against one flow series.
Bivariate tab- plot cross-correlation function between pairs of sites;
- plot rainfall-runoff relationship, conditioned on time, season and/or antecedent flow.
Log tab- keeps a record of all data modifications.
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Hi Felix, the URL for your MODSIM paper might be an appropriate inclusion somewhere. (http://www.mssanz.org.au/MODSIM07/papers/24_s17/Hydrosanity-aStarting_s17_Andrews_.pdf)