Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

Creation of M-

...

Climate

The

...

  • to deliver the extreme forecast index (EFI) and shift of tails (SOT) products and the 15-day ENS meteograms with a model climate (M-climate)
  • to highlight significant forecast departures of 2m temperature, wind speed, cloudiness and precipitation from the norm for a given location and time of year.  

...

ER-M-Climate

...

is

...

  • 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). 
  • 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 tails should not be so prone to having a reduced sample size.

===============================

Creation of M-Climate

...

derived from a set of medium 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 run itself.

...

 The re-forecast runs are at the same resolution as the medium range run itself (

...

currently 9km?) and run over the 15-day medium range ENS period.

...

   

Medium range re-forecasts for verification

There is some merit in examining the real-time performance of a seasonal forecasting system.  But the sample sizes created for one system are far too small to conclude anything about the true performance levels of that system. Hence we use the re-forecasts.  

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

  • medium range forecast verification metrics are based on the re-forecasts
  • re-forecasts allow computation of the M-climate.

Selection of medium range re-forecasts

The set of re-forecasts is based on using the nine consecutive re-forecast sets (covering a 5-week period) are used, the middle one of which corresponds to the preceding Monday or Thursday that is closest to the actual ENS run date.  Re-forecasts are created using the same calendar start dates for each of the last 20 years.  

Each set consists of 9 runs of an 11-member ensemble (1 control and 10 perturbed members) run over the 15-day ENS forecast period.  Therefore altogether 20 years x 9 runs x 11 ENS members = 1980 re-forecast values are available to define the M-climate for each forecast parameter, forecast lead-time, calendar start date and location at forecast intervals of 6 hours.  These are used to define the M-climate.

The large number of re-forecasts is justified because it is essential to minimize sampling noise in the M-climate tails for EFI and SOT computations.  

The M-climate is used in association with ENS forecast:

...

  • 2m temperature.
  • soil temperature.
  • sea-surface temperature.
  • mean sea level pressure.
  • precipitation.
  • cloudiness

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). 
  • 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 tails should not be so prone to having a reduced sample size.

...