...
SCAN_RAD has been changed from 3000km to 300km. This change reduces computational cost for sorting observations.
Experiment list
| ID | Type | Cycle | Resolution | Start | End | Description |
|---|---|---|---|---|---|---|
| hut8 | an | 48r1.0 | TCo399 | 02/12/2020 | 28/02/2021 | control |
| hwcu | an | 48r1.0 | TCo399 | 02/12/2020 | 31/08/2021 | control (bit-identical to hut8 until 28th Feb) |
| hybs | an | 48r1.0 | TCo399 | 02/12/2020 | 31/08/2021 | include snow DA changes |
| hut7 | an | 48r1.0 | TCo399 | 02/06/2020 | 31/08/2020 | control |
| hybu | an | 48r1.0 | TCo399 | 02/06/2020 | 31/08/2020 | include snow DA changes |
Results
Links to IVER and scorecard
- Iver
- Scorecard
Results for winter 2020/21 and summer 2020 (against Andrew's control)
The following figures shows snow depth averaged in Feb 2021. Snow depth on the Tibetan Plateau and the Rocky Mountains is reduced by assimilating IMS. On the other hand, snow depth on the other mountains are increased by snow cap change of 3.0m.
| control (hut8) | test (hybs) | hybs - hut8 |
|---|---|---|
|
...
Results of 9-month experiments from Dec 2020 to Aug 2021
Computational cost
- Computational time for the 'snow' task is reduced about 30 seconds (2:00 → 1:30) at 0 UTC by reducing radius for observation scanning and number of IMS input in 2D-OI.
- "bufr_grid_screen_parallel" for IMS thinning takes about 25 seconds, a bit longer than "bufr_filter" (15 seconds).
- Both tasks are not on the critical path, so total computational time is not changed by these changes.