Detailed model description

Page containing details for all model configurations available in S2S since the project start => KMA model description

Overview of the model changes

Model version

Implement. date in S2S

Time range

Resolution

Ens. Size

Frequency

Re-forecasts

Rfc period

Rfc frequency

Rfc size

Ocean resolutionActive Sea IceRemarks

GloSea6-GC3.2

01/06/2023 

d 0-60

N216 L85

(0.83° x 0.56°, about 60 km in mid latitudes)

8dailyon the fly1993-2016

4/month

(always on the 1st, 9th, 17th and 25th)

7
yes9 ocean parameters added

GloSea6-GC3.2

22/02/2022

d 0-60

N216 L85

(0.83° x 0.56°, about 60 km in mid latitudes)

4dailyon the fly1993-2016

4/month

(always on the 1st, 9th, 17th and 25th)

3
yes
GloSea5-GC201/09/2020d 0-60

N216 L85

(0.83° x 0.56°, about 60 km in mid latitudes)

4dailyon the fly1991-2016

4/month

(always on the 1st, 9th, 17th and 25th)

3
yes

Nine additional parameters allowing computing MJO indices added since 01/08/2020 to the real-time data and since 01/09/2020 to the reforecasts.

Specific Humidity on pressure level provided since 01/08/2020

GloSea5-GC201/11/2016d 0-60

N216 L85

(0.83° x 0.56°, about 60 km in mid latitudes)

4dailyon the fly1991-2010

4/month

(always on the 1st, 9th, 17th and 25th)

3
yes

Description of the main changes

01-09-2020

Extension of the reforecast period from 1991-2010 to 1991-2016.

01-08-2020

Nine additional parameters allowing computing MJO indices were added  to the KMA outputs starting from 1  August 2020 for the real-time forecasts and from 1 September for the on-the-fly reforecasts:

  • Snow Fall water equivalent
  • Surface net solar radiation
  • Surface net thermal radiation
  • Surface solar radiation downwards
  • Surface thermal radiation downwards
  • Top net thermal radiation
  • Sea surface temperature
  • Total Cloud Cover
  • Specific humidity (on pressure levels)

31-10-2017

In reference to Tennant(2013), the soil moisture content(SMC) and surface temperature perturbations were added to KMA’s Global Ensemble system. It should improve predictive performance of the surface variations that have a smaller spread than the upper level one. Together with SST perturbation, it helps improving the spread of surface temperature and moisture.
References: Tennant. W, 2013: New schemes to perturb sea-surface temperature and soil moisture content in MOGREPS. Q.J.R.Meteorol. Soc., 140, 1150-1160