SatMet Lab Exercise

Nowcasting Lake Effect Snow

Jim LaDue


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Objective|| Data sources|| obs->radar->satellite procedure||Beyond radar range ||1400 UTC estimates ||1800 UTC estimates||2015 UTC estimates || the end


Objective Objective : To create nowcasts of present weather and specialized estimates of snowfall for towns, airports, nuclear power plants east of Lake Ontario.

This scenario was engineered so that you can run GARP for the entire event.

Start NTL/GARP for the 09dec95 case dataset. The time period of interest begins just prior to 14 UTC on 11 December 1995.

We start off with a shift change briefing. I'm leaving and you're presented with a full lake effect event underway. You have a full suite of satellite, radar, SAO and spotter reports showing where the lake effect was overnight.

Since you will be at the short-range desk, you will be estimating snowfall rates from all the data sources you have available to you.

Data sources Here's a summary of the information available to you:

How to convert observed snow rate to reflectivity and then 10.7micron Cloud Top Temp (CTT)

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1. Observe the visibility or snowfall rate for a SAO or spotter. Use the table below for a comparison of visibility to snow rate . This relationship seems to work well for this event. So far GARP does not plot visibilities for you so I'll provide them down below.
snowfall intensity
light moderateheavyextreme
visibility(nm) gt 0.5 .5 -.25 .25 - 1/8 1/8 - 1/16
Rate (in/hr) lt 0.5 0.5 - 11 - 2 2 - 4

2. Ground truth and radar reflectivity : At selected sites for which you have observations, measure the reflectivity a few km upwind of your station, using the radar scan just prior to your analysis time (about 6 min earlier). We are trying to account for horizontal drift of falling snow from the radar observations (which depends on the distance to the radar).

Figure that snow falls at about 2 m/s and the lowest scan is approximately 2km above lake level.

For the instantaneous observations (e.g., SAO's) you can use a single reflectivity image.

For spotter reports measuring snow over the past hour, you might want to look at a few sweeps and come up with a representative reflectivity.

In this example, I will pick Buffalo,NY. You can use GARP to locate a site by lat lon as well.

In this case, I'm measuring the reflectivity right over Buffalo. However, I should measure values southwest of Buffalo by 5 to 10 km. The mean wind in the convective layer is southwesterly.

3. Radar reflectivity and satellite cloud tops : For the same area and time that you measured the reflectivity in the last part, now measure the GOES Ch4 IR cloud top temperature in a small area around your point. Again, one single image is good for an instantaneous ob but for a spotter report, you might want come up with a representative cloud top temperature for the time period of the observation. Also, look at other GOES-8 bands to determine whether there's glaciation occuring at cloud top and whether there is high visible reflectivity (e.g, deep or dense cloud). These indications will help you affirm that this cloud is producing snow.

Now I can see what cloud top temp corresponds to the reflectivity I chose in the last step. Again, I should've checked for a representative cloud top temp southwest of Buffalo by closer than 10km. Notice that there are numerous clouds with cold CTT's but are not showing up on radar. The visible image shows the brightest values that correspond more closely to the radar echos. Notice that the reflectivity image shows areas where cloud glaciation is occurring over the band. But not everywhere.

GOES-8 VIS

GOES-8 Reflecitivity image

Extending snow estimates beyond radar range:

Now that you have an association from the ground report to the satellite-based cloud top temp you can estimate snowfall rates beyond radar range. The only (major) problem is there usually is much more cold cloud coverage than actual snowfall due to anvils, advective clouds, cirrus...

Now you need to look at multiple bands to help you narrow down the areas where snow maybe falling.

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After outlining of CTTs correlated with 1"/hr snows...

I check for areas of higher albedos --> deep clouds.

Then I outline areas of partial and complete cloud glaciation as shown by the 3.9um reflectivity image.

  • Then I overlay all the relevant composites.
  • Where the high albedos overlay the CTTs corresponding to the highest reflectivities is where the heaviest snow is most likely occuring.
  • The low 3.9um reflecitivies indicate the existence of glaciation and snow production. However, heavy snow can occur with medium or even high 3.9um reflectivities. Usually there is some amount of detectable cloud glaciation. At night, the 'fog product' is also a good detector of cloud phase but there is increasing noise with decreasing CTTs.
  • Average imaging can also be useful for removing some of the transient clouds. Pull up this average image from 1545 to 1645 UTC.
  • Finally, where all satellite-based indications of heavy snow reside, and the mean flow is upslope for at least several km is where the heaviest snow will fall.

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=======Your task========

Coming up with satellite thresholds at 1415UTC

On a sheet of paper, compare the

to the snow fall rate observed by spotters for Fulton,NY. Do the same for the METAR/SAO sites at Syracuse (SYR) and Rome (RME).

1400 UTC Obsevations below.

Here are the locations for each town I mentioned.

town latitude longitude
Fulton 43:1976:25
Hannibal43:1976:35
9 Mile Pt43:3076:25
Oswego43:2876:32
SYR 43:0776:07
RME 43:1475:24

Continuing with the above example, this is what I would have (for a different date though)

townreflectivityCTT3.9um reflectivity vis brightness
Buffalo28dBZ-20Cmix water/ice thick cloud