2.3 December 2010 Northeast Blizzard: Event Analysis using High-resolution WRF for the New York City Metropolitan Area

Tuesday, 8 January 2013: 11:30 AM
Room 18B (Austin Convention Center)
James P. Cipriani, IBM Thomas J. Watson Research Center, Yorktown Heights, NY; and L. A. Treinish and A. P. Praino

On Sunday, 26 December 2010, portions of New Jersey, Connecticut, and the New York metropolitan area were significantly impacted by blizzard conditions as a result of an intensifying low pressure system that made its way up the coast from the southeastern U.S. and into the mid-Atlantic region. Snowfall bands were observed, resulting in “thundersnow”, as the system dumped twenty to thirty inches of snow across New York City, northeastern New Jersey and the lower Hudson Valley, and ten to twenty inches across much of Connecticut and Long Island by the early morning hours on Monday, 27 December 2010. One of the highest recorded physical snow depths, as of 3:00 PM EST Monday, was 31.8 inches in Elizabeth, NJ. Sustained winds ranged from twenty-five to forty mph with gusts greater than sixty mph. Many of the affected areas were unprepared for such an event, especially given that most people were on holiday leave. As a result, transportation systems in the region were essentially crippled by the conditions. The New York City airports (JFK, LGA) were forced to cancel more than 1,000 flights by noon on Sunday, and by 6:00 PM EST, 1,444 flights had been cancelled. Prior to the event at 2:25 PM on Saturday, 25 December, the National Weather Service (NWS) issued a blizzard warning for the region from 6:00 AM on Sunday through 6:00 PM on Monday with a forecast of eleven to sixteen inches of snow with higher amounts possible in undefined areas of snow banding. On 26 December, the NWS stated that New York City should expect fifteen to twenty inches of snow by Monday.

IBM's customized weather forecasting solution, known as Deep Thunder, has been producing 84-hour forecasts for the New York metropolitan area for over three years at high spatial and temporal resolution. Operationally, Deep Thunder runs twice daily at 00 UTC and 12 UTC and covers southeastern New York State and portions of New Jersey and Connecticut at 2-km horizontal resolution, with output every 10 minutes. There are three domains (18-, 6-, and 2-km), with each grid mesh being 76x76 and incorporating 42 vertical levels. The Advanced Research Weather (ARW) core of the WRF-3.1.1 model is utilized and incorporates WSM-6 microphysics, the Grell-Devenyi ensemble cumulus scheme, and the NOAH land surface model (LSM), coupled with a 3-category urban canopy model to better represent the characteristics of the highly urbanized portions of the domain. The model is initialized with 12-km output from the North American Model (NAM), which is also used for the boundary conditions. NCEP 9.25-km sea surface temperatures also drive the initial conditions; and USGS topography data is used for model terrain.

To further study the December 2010 blizzard, Deep Thunder was used in hindcast mode and initialized with NAM output, with the following configuration specifics and incorporated data sets: (1) WRF-ARW 3.3.1 was used as a replacement for WRF-ARW 3.1.1 and will be utilized for operations in the near future; (2) domains and physics packages remained the same with the exception of the microphysics scheme, for which the double-moment WDM-6 scheme was used; (3) NASA 90-m Shuttle Radar Topography Mission (SRTM) data was used as input for model terrain; (4) to better represent the coastal characteristics, NASA 1-km sea surface temperatures were used as part of the initial conditions. Three hindcast simulations were conducted, initialized at 00 UTC and 12 UTC on 25 December and 00 UTC on 26 December. Typical output included 2-m temperature and dew point, sustained wind speeds/direction at 10m, snow depth, visibility, and snowfall rate based on NOAH LSM algorithms.

We will primarily focus on the hindcast initialized at 00 UTC on 26 December. We will discuss the event synopsis, model results and performance, comparisons, and transition to WRF-3.3.1 for operational use.

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