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Table of Contents

Creation of ER-M-Climate

The ER-M-Climate is derived from a set of extended range re-forecasts created using the same calendar start dates over several years for data times either side of the time of the extended ENS ensemble run itself.  The re-forecast runs are at the same resolution as the extended medium range run itself (currently ~18km up to day15 and ~36km thereafter) and run over the 46-day extended range ENS period.   

Extended range re-forecasts for verification

There is some merit in examining the real-time performance of a seasonal forecasting system.  But   But the sample sizes created for one system are far too small to conclude anything about the its true performance levels of that system. Hence we use the re-forecasts.  .  Re-forecasts are used to increase the available data to produce a model climate.   The results of forecast system may be compared with this model climate.

Re-forecasts are a fundamental component of all seasonal forecasting system; they have two applications:

• extended range forecast verification metrics are based on the re-forecasts.
  
• re-forecasts allow computation of the ER-M-climate which allows actual forecasts to be converted into an anomaly format.   Forecasts in terms of anomalies relative to a model climate (rather than relative to the observed climatology) mean that some calibration for model bias and drift into the products is incorporated.

Selection of extended range re-forecasts

The set of re-forecasts is based on using the three consecutive dates surrounding the day and month of the extended ENS run in question.  Re-forecasts are created using the same calendar start dates for each of the last 20 years.  Each re-forecast consists of

The set of re-forecasts is made up from:

• a set of re-forecasts using the same calendar start dates for each of the last 20 years.
• three consecutive re-forecasts (covering a 1 week period), the middle one of which corresponds to the preceding Monday or Thursday that is closest to the actual ensemble run date.
• each re-forecast is from an 11-member ensemble (1 control and 10 perturbed members) run over the 46-day ensemble forecast period.

In total, each set of re-forecasts consists of .  Therefore altogether 20 years x 3 runs x 11 ENS ensemble members = 660 re-forecast values.  These are available to define the ER-M-climate for each forecast parameter, forecast lead-time, calendar start date and location.  These , location, at forecast intervals of 6 hours.  These are used to define the ER-M-climate.  

Values evaluated in ER-M-climate

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A lower number of re-forecasts than for evaluating M-climate is justified because the tails are less important and should not be so prone to having a reduced sample size.

The ER-M-climate is used in association with the extended range ensemble forecast:

• to present the day15 to day46 ensemble meteograms with the extended range climate (ER-M-climate).
• to highlight significant anomalies of forecast 2m temperature, wind speed, cloudiness and precipitation from the norm for a given location and time of year

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Different reference periods for M-Climate and ER-M-Climate

ECMWF uses different reference periods but essentially the same re-forecast runs to build the M-Climate and the ER-M-Climate.   The key difference is that those runs are grouped and used in different ways. This is because they are used in different ways.  :  

• For shorter ranges, the priority is the best possible capture of the climatological distribution of the tails .  It has been shown that using 1980 realisations (spanning 4 weeks) achieves this much better than using 660 (spanning 1 week(e.g. extreme forecast index (EFI) and shift of tails (SOT)).  This can be better achieved using a re-forecast span of 5 weeks (1980 re-forecast values).  
• For longer ranges, the priority is the correct representation of seasonal cycles.  This can be better achieved by spanning 1 week rather than 4.  The extended range uses week-long averaging and the using a span of 1 week (660 re-forecast values).  The tails should not be so prone to having a reduced sample size.

ER-M-climate is updated twice a week, every Monday and Thursday, and is based on 00UTC runs only (there are no 12UTC re-forecast sets).  The new files start to be used from the 00UTC run the next day.

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Note before Cy41r1 in spring 2015, the M-climate was constructed from only 500 re-forecasts was more prone to sampling errors and as a result.