Archive for February, 2008

“Return flow” of moisture from the Gulf of Mexico

Monday, February 25th, 2008

GOES IR images (Animated GIF)

With a dome of high pressure centered over the southeastern US early in the day on 25 February 2008, the Gulf Coast of Texas began to experience a southeasterly onshore flow during the pre-dawn hours. AWIPS images of the GOES-12 10.7µm IR channel (above) revealed a subtle signature of slightly warmer cloud top temperatures (darker gray enhancements) associated with the “return flow” of fog and stratus as moisture over the Gulf of Mexico began to move inland across Texas.

GOES fog/stratus product (Animated GIF)

The GOES-12 fog/stratus product (above) was better able to detect the inland progression of the leading edge of the fog/stratus features (darker yellow to orange enhancements), as well as the development of separate areas of radiation fog further inland (lighter yellow enhancement).

GOES Low Cloud Base product (Animated GIF)

A new satellite product that has recently been added to AWIPS (beginning with Operational Build 8.2) is the GOES Low Cloud Base product (above), which provides an indicator of whether the base (or bottom) of a cloud/fog feature meets the aviation criteria of Instrument Flight Rules (IFR) with bases less than 1000 feet above ground level (red enhancement), or Marginal Visual Flight Rules (MVFR) with bases greater than 1000 feet but less than 3000 feet above ground level (green enhancement), or cirrus cloud (blue enhancement). Note that the GOES Low Cloud Base product is only valid during night-time hours; this is also true of the GOES fog/stratus product (due to the fact the the 3.9µm shortwave IR channel used for those satellite products is very sensitive to reflected solar radiation during daylight hours).

GOES + MODIS images (Animated GIF)

A comparison of the 4-km resolution GOES-12 IR image, fog/stratus product, and low cloud base product with the 1-km resolution MODIS fog/stratus product (above) shows the advantage of better spatial resolution for detecting the leading edge of the inland-moving fog/stratus features, and also for estimating what portions of the areas of fog/stratus might be vertically deeper (denoted by the darker orange to red enhancements). The spatial resolution of the IR channels on the Advanced Baseline Imager (ABI) instrument aboard the GOES-R satellite (planned to be launched in 2014) will be 2 km, which will provide improved detection of mesoscale features compared to the 4 km IR channels and products now available from the current generation of GOES imagers. And what about the Sounder instrument aboard GOES-R and beyond? We refer you to the VISIT Meteorological Interpretation Blog for a discussion of that particular topic…

The Great Lakes: a diversity of lake-effect snow mechanisms

Wednesday, February 20th, 2008

GOES-12 visible images (Animated GIF)

GOES-12 visible channel imagery (above) displayed several different lake-effect snow (LES) producing mechanisms across the Great Lakes on 20 February 2008: multiple LES bands over Lake Superior, meso-vorticies over both Lake Michigan and Lake Huron, and a single LES band over Lake Ontario. Even though the Great Lakes water temperatures were getting quite cold (generally around 32-40ºF), a very cold arctic air mass (overnight minimum temperatures on 20 February were as cold as -33ºF at Grand Forks, North Dakota and Embarrass, Minnesota; -30ºF at Upson, Wisconsin; -28ºF at Stammbaugh, Michigan) was spreading across the region (GOES-12 IR image + surface reports) creating a large water-air temperature difference.

So what about Lake Erie? Since Lake Erie is the most shallow of the five Great Lakes, it often freezes the earliest; due to a large concentration of ice over that particular lake (as seen on SSEC MODIS Today true color imagery from 4 days earlier, viewed using Google Earth, below), Lake Erie was not able to contribute the necessary heat and moisture flux needed to produce LES mechanisms on the scale that the other lakes were producing on this day.

MODIS true color image (Google Earth)