9. 2020 Cold Air Damming

Cold air damming (CAD) occurs when the cold dense air is topographically trapped along the leeward side of the mountain. CAD has been a forecast challenge in GFS. This case is an example illustrating the GFS’s capability of handling cold air damming east of the Appalachian mountains.

9.1. Model Configuration and Datasets

The case runs are initialized at 12z Feb 03, 2020 with 120 hours forecasting. The corresponding namelist options that need to be changed are listed below. The app uses ./xmlchange to change the runtime settings. The settings that need to be modified to set up the start date, start time, and run time are listed below.

./xmlchange RUN_STARTDATE=2020-02-03,START_TOD=43200,STOP_OPTION=nhours,STOP_N=120

Initial condition (IC) files are created from GFS operational dataset in NEMSIO format. The GFS reanalysis dataset are used as ‘truth’ to compare with simulation results.

9.2. Case Results

9.2.1. Synoptic Dynamics

_images/MSLP_MRW_v1.0_2020CAD_trim.png

Mean sea level pressure (hPa)

  • MRW_GFSv16beta more correctly forecasts the surface low than MRW_GFSv15p2.

_images/500mb_MRW_v1.0_2020CAD_trim.png

500 hPa geopotential heights (dam) and absolute vorticity (10 -5/s)

  • A suspicious upper-level cut-off low is simulated in MRW_GFSv16beta.

  • Both MRW_GFSv16beta and MRW_GFSv15p2 simulate a positively tilted trough, same as GFS_ANL.

9.2.2. Surface Temperature and Wind Speed

_images/2mT_MRW_v1.0_RAP_2020CAD_RAP_trim.png

2-m temperature (F)

  • Cold air was dammed up along the Appalachian mountains in RAP_ANL.

  • Both MRW_GFSv16beta and MRW_GFSv15p2 generates warm bias along the east side of Appalachian.

  • Specifically, MRW_GFSv16beta simulates warmer temperatures over Ohio.

_images/GUST_MRW_v1.0_2020CAD_RAP_trim.png

Surface gust (m/s)

  • Stronger surface winds are simulated by MRW_GFSv16beta and MRW_GFSv15p2.

9.3. Summary and Discussion

GFSv.16.0.10 shows improvements in handling the shallow cold air mass during CAD events compared with its prior versions (MRW_GFSv16beta and MRW_GFSv15p2). But the warm bias still exists. This could lead to weaker temperature inversions with the warmer low-level temperatures at sites along the east side of Appalachian.