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1. Ensemble version | ||
---|---|---|
Ensemble identifier code | RUMS | RUMS |
Short Description | Global ensemble system that simulates initial uncertainties using breeding method. It is based on 41 members, run weekly (Wednesday at 00Z) up to day 46. | Global ensemble system that simulates initial uncertainties using breeding method. It is based on 20 members, run weekly (Wednesday at 00Z) up to day 61. |
Research or operational | Operational | Operational |
Data time of first forecast run | 15/09/2022 | 07/01/2015 |
2. Configuration of the EPS | ||
Is the model coupled to an ocean model ? | No | No |
If yes, please describe ocean model briefly including frequency of coupling and any ensemble perturbation applied | ||
If no, please describe the sea surface temperature boundary conditions (climatology, reanalysis ...) | ||
Is the model coupled to a sea Ice model? | No - Sea ice initial conditions are relaxed to climatology using individual coefficients for 0.75x0.75 degree cells. | No - Sea ice initial conditions are persisted up to day 15 and then relaxed to climatology up to day 45. |
If yes, please describe sea-ice model briefly including any ensemble perturbation applied | ||
Is the model coupled to a wave model? | No | No |
If yes, please describe wave model briefly including any ensemble perturbation applied | ||
Ocean model | ||
Horizontal resolution of the atmospheric model | 0.9 x 0.72 degrees lat-lon | 1.125 x 1.40625 degrees lat-lon |
Number of model levels | 96 | 28 |
Top of model | 0.04 hPa | 5 hPa |
Type of model levels | hybrid | sigma |
Forecast length | 46 days (1104 hours) | 61 days (1464 hours) |
Run Frequency | weekly (Thursdays) | weekly (Wednesday 00Z up to May 2017, Thursdays 00Z since June 2017) |
Is there an unperturbed control forecast included? | Yes | Yes |
Number of perturbed ensemble members | 40 | 19 |
Integration time step | 24 minutes | 36 minutes |
3. Initial conditions and perturbations | ||
Data assimilation method for control analysis | 3D-Var analysis for upper-air fields; OI analysis for screen-level temperature and humidity; simplified extended Kalman filter for soil moisture | 3D Var |
Resolution of model used to generate Control Analysis | 0.5 degrees for upper air; 0.72x0.9 degrees lat-lon for screen-level and soil variables | 0.5 degrees |
Ensemble initial perturbation strategy | Breeding perturbations added to control analysis | Breeding perturbations added to control analysis |
Horizontal and vertical resolution of perturbations | 0.72 x 0.9 degrees lat-lon | 1.125 x 1.40625 degrees lat-lon. |
Perturbations in +/- pairs | No | No |
4. Model uncertainties perturbations | ||
Is model physics perturbed? | Yes | No |
Do all ensemble members use exactly the same model version? | Yes | Yes |
Is model dynamics perturbed? | No | No |
Are the above model perturbations applied to the control forecast? | No | No |
5. Surface boundary perturbations | ||
Perturbations to sea surface temperature? | No | No |
Perturbation to soil moisture? | No | No |
Perturbation to surface stress or roughness? | No | No |
Any other surface perturbation? | No | No |
Are the above surface perturbations applied to the Control forecast? | No | No |
Additional comments - | ||
6. Other details of the models | ||
Description of model grid | Regular lat-lon grid, hybrid pressure based coordinate in vertical. | Regular lat-lon grid, sigma-coordinate in vertical. |
List of model levels in appropriate coordinates | see the section 9 below | .0001, .0092, .01935, .03234, .04904, .06975, .09376, .12045, .15003, .1837, .2231, .2692, .3204, .3751, .4321, .4905, .5503, .6101, .6692, .72532, .77773, .82527, .86642, .90135, .93054, .95459, .97418, .99, 1.0 |
What kind of large scale dynamics is used? | Finite-difference semi-implicit semi-Lagrangian, vorticity-divergence formulation (Tolstykh et al, GMD 2017) | Finite-difference semi-implicit semi-Lagrangian, vorticity-divergence formulation (Tolstykh, JCP 2002; section 2 in Shashkin, Tolstykh, GMD 2014) |
What kind of boundary layer parameterization is used? | Bastak-Duran et al (JAS 2014) | pTKE scheme (Geleyn, J.-F., et al 2006) with shallow convection included |
What kind of convective parameterization is used? | Bougeault (MWR 85), Ducrocq and Bougeault (95), Gerard and Geleyn (QJ 2005) with our modification of momentum transport | Bougeault (MWR 85), Ducrocq and Bougeault (95), Gerard and Geleyn (QJ 2005) |
What kind of large-scale precipitation scheme is used? | Gerard et al 2009 | Geleyn et al 1994 |
What cloud scheme is used? | Xu-Randall (JAS 96), diagnostic | Xu-Randall (JAS 96), diagnostic |
What kind of land-surface scheme is used? | INM RAS – MSU | ISBA |
How is radiation parametrized? | CLIRAD SW (Tarasova, Fomin 2005), RRTMG LW (Mlawer et al 1997) | Ritter, Geleyn (1992), Geleyn et al (2005) |
Other relevant details? | ||
7. Re-forecast Configuration | ||
Number of years covered | 25 | 26 |
Produced on the fly or fix re-forecasts? | On the fly | On the fly |
Frequency | Produced on the fly once a week to calibrate the Thursday 00Z real-time forecasts. The re-forecasts consist of a 11-member ensemble starting the same day and month as Thursday real-time forecasts for the years 1991-2015. | Produced on the fly once a week to calibrate the Thursday 00Z real-time forecasts. The re-forecasts consist of a 11-member ensemble starting the same day and month as Thursday real-time forecasts for the years 1991-2015. |
Ensemble size | 11 members | 10 members |
Initial conditions | quasiassimilation with ERA5 data for upper air, SEKF for soil moisture, OI for soil temperature | quasiassimilation with ERA Interim data |
Is the model physics and resolution the same as for the real-time forecasts | Yes | Yes |
If not, what are the differences | N/A | N/A |
Is the ensemble generation the same as for real-time forecasts? | Yes | Yes |
If not, what are the differences | N/A | N/A |
Other relevant information | HMCR re-forecasts are produced on the fly. Every week a new set of re-forecasts is produced to calibrate the real-time ensemble forecast of the given day. The ensemble re-forecasts consist of a 11-member ensemble starting the same day and month as a Thursday real-time forecast, but covering 1991-2015 years. The re-forecast dataset is therefore updated every week in the S2S archive. | HMCR re-forecasts are produced on the fly. Every week a new set of re-forecasts is produced to calibrate the real-time ensemble forecast of the given day. The ensemble re-forecasts consist of a 10-member ensemble starting the same day and month as a Wednesday real-time forecast, but covering 1985-2010 years. The re-forecast dataset is therefore updated every week in the S2S archive. |
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9. List of model levels in appropriate coordinates
(RUMS 15/09/2022)
N | A | B |
1 | 2.6858925E-5 | 0 |
2 | 6.521674E-5 | 0 |
3 | 9.5737065E-5 | 0 |
4 | 1.3942415E-4 | 0 |
5 | 2.011347E-4 | 0 |
6 | 2.870224 E-4 | 0 |
7 | 4.046345E-4 | 0 |
8 | 5.6289845E-4 | 0 |
9 | 7.7195615E-4 | 0 |
10 | 1.0428361E-3 | 0 |
11 | 1.387315E-3 | 0 |
12 | 1.818298E-3 | 0 |
13 | 2.3497605E-3 | 0 |
14 | 2.993734E-3 | 0 |
15 | 3.7552525E-3 | 0 |
16 | 4.62815E-3 | 0 |
17 | 5.5946875E-3 | 0 |
18 | 6.633841E-3 | 0 |
19 | 7.7301835E-3 | 0 |
20 | 8.8752315E-3 | 0 |
21 | 1.0066637E-2 | 0 |
22 | 1.1306625E-2 | 0 |
23 | 1.2599275E-2 | 0 |
24 | 1.3949105E-2 | 0 |
25 | 1.536087E-2 | 0 |
26 | 1.6839435E-2 | 0 |
27 | 1.838968E-2 | 0 |
28 | 2.001639E-2 | 0 |
29 | 2.1724365E-2 | 0 |
30 | 2.351879E-2 | 0 |
31 | 2.351879E-2 | 0 |
32 | 2.739097E-2 | 0 |
33 | 2.948251E-2 | 0 |
34 | 3.168817E-2 | 0 |
35 | 3.401692E-2 | 0 |
36 | 3.647871E-2 | 0 |
37 | 3.908456E-2 | 0 |
38 | 4.1846685E-2 | 0 |
39 | 4.4778645E-2 | 0 |
40 | 4.789549E-2 | 0 |
41 | 5.1213915E-2 | 0 |
42 | 5.475246E-2 | 0 |
43 | 5.8531705E-2 | 0 |
44 | 6.257452E-2 | 0 |
45 | 6.690632E-2 | 0 |
46 | 7.155365E-2 | 1.711604E-6 |
47 | 7.6541645E-2 | 1.1460423E-5 |
48 | 8.1897783E-2 | 3.6816742E-5 |
49 | 8.7654268E-2 | 8.4632497E-5 |
50 | 9.3845508E-2 | 1.6405206E-4 |
51 | 0.10050788 | 2.8738153E-4 |
52 | 0.10768070 | 4.7119814E-4 |
53 | 0.11540868 | 7.3797217E-4 |
54 | 0.12374385 | 1.1184485E-3 |
55 | 0.13274668 | 1.6551708E-3 |
56 | 0.14248693 | 2.4078173E-3 |
57 | 0.15304148 | 3.4611242E-3 |
58 | 0.16447771 | 4.9349952E-3 |
59 | 0.17682732 | 6.9968291E-3 |
60 | 0.19005918 | 0.20404697 |
61 | 0.20404697 | 1.3880277E-2 |
62 | 0.21853412 | 1.9403728E-2 |
63 | 0.23311013 | 2.6931367E-2 |
64 | 0.24723154 | 3.7048655E-2 |
65 | 0.26025510 | 5.0472252E-2 |
66 | 0.27143429 | 6.8094264E-2 |
67 | 0.27988784 | 9.1050159E-2 |
68 | 0.28453942 | 0.12079088 |
69 | 0.28413173 | 0.15857732 |
70 | 0.27779435 | 0.20402365 |
71 | 0.26598128 | 0.25427937 |
72 | 0.25031986 | 0.30581109 |
73 | 0.23247062 | 0.35649843 |
74 | 0.21349702 | 0.40570793 |
75 | 0.19400596 | 0.45341879 |
76 | 0.17442633 | 0.49961317 |
77 | 0.15510822 | 0.54420098 |
78 | 0.13635191 | 0.58704339 |
79 | 0.11841143 | 0.62799050 |
80 | 0.10149555 | 0.66690305 |
81 | 8.5771185E-2 | 0.70365821 |
82 | 7.1364710E-2 | 0.73815564 |
83 | 5.8362444E-2 | 0.77032265 |
84 | 4.6811675E-2 | 0.80011772 |
85 | 3.6722423E-2 | 0.82753238 |
86 | 2.8070594E-2 | 0.85259051 |
87 | 2.0801944E-2 | 0.87534661 |
88 | 1.4836649E-2 | 0.89588350 |
89 | 1.0074879E-2 | 0.91430797 |
90 | 6.40262E-3 | 0.93074583 |
91 | 3.697367E-3 | 0.94533689 |
92 | 1.83359E-3 | 0.95822921 |
93 | 6.8736347E-4 | 0.969574337 |
94 | 1.40194E-4 | 0.9795227 |
95 | 1.003E-6 | 0.988301 |
96 | 0. | 0.9962179 |