DataFrames of the forecasts and truths (observations) can be provided for use with Ensemble Model Output Statistics (EMOS). The format expected for the forecast and truths DataFrames is described below. The forecasts are ensemble site forecasts in percentile format at a set of observation sites. The truths are observations from observation sites.
The forecast DataFrame is expected to contain the following compulsory columns: forecast, blend_time, forecast_period, forecast_reference_time, time, wmo_id, percentile, diagnostic, latitude, longitude, period, height, cf_name and units. Other columns will be ignored.
A summary of the expected contents of a forecast table is shown below.
An example forecast table for an instantaneous diagnostic is shown below.
An example forecast table for a period diagnostic is shown below.
The truth DataFrame is expected to contain the following compulsory columns: ob_value, time, wmo_id, diagnostic, latitude, longitude and altitude. Other columns will be ignored.
A summary of the expected contents of a truth table is shown below.
An example truth table is shown below.