J. Braun, Louie Grasso and Don Hillger When GOES-R becomes operational, one new capability that no other GOES satellite has had to date is the ability to produce geostationary color imagery. As a result, satellite detection of pollution and/or thin smoke from wildfires can be detected (where they couldn’t in the past). GOES-R ABI will Continue Reading
J. Braun, Louie Grasso and Dan Lindsey Figure 1: GOES-11 (0.67) µm image for 24 February 2010. (click image for larger view) GOES-11 has two channels in the window region from which a channel difference can be produced. One channel is centered at 10.7 µm while the second is centered at 12.0 µm. Figure 1 Continue Reading
J. Braun GOES-R ABI will have several channels in the window region from which channel difference products can be produced. Four channels, 8.5, 10.35, 11.2, and 12.3 µm can be differenced to produce a total of six difference images. In this example, differences were produced from a numerical simulation of the 27 June 2007 thunderstorm Continue Reading
Louie Grasso, Dan Lindsey, J. Braun GOES-R ABI will have several channels in the window region from which channel difference products can be produced. Three of the channels, 8.53, 11.02, and 12.03 µm are available from MODIS. From these three channels, three channel differences can be produced. In this example, one of the channel differences Continue Reading
Louie Grasso, Dan Lindsey, J. Braun Synthetic GOES-12 satellite imagery at 3.9 µm has been produced for a thunderstorm simulation. This event occurred on 27 June 2005 over the upper Midwest of the United States. Observations (Figure 1 – click image for larger format) shows warmer cloud tops (light grey) for storms over western Nebraska Continue Reading
Louie Grasso, Dan Lindsey and J. Braun GOES-R ABI will have several channels in the window region from which channel difference products can be produced. Four channels, 8.5, 10.35, 11.2, and 12.3 µm can be differenced to produce a total of six difference images. Shown in Fig. 1 is a loop, every five minutes, of Continue Reading
Jeff Braun New Developmet Plan (LMS) available! This is the forecaster track of the Satellite Hydrology and Meteorology (SHyMet) Course (similar in structure, but exanding on or covering different subjects than the intern version of SHyMet) will cover satellite imagery interpretation, including feature identification, water vapor channels and what to expect on future satellites. There is a Continue Reading
Jeff Braun New Training Session from COMET! Satellite imagery and soundings have been an integral tool in the weathercaster tool belt over the past four decades and continue critical support for operational meteorology and monitoring of our ever changing weather patterns. Some products however, particularly those from today’s geostationary sounders are under-utilized in the forecasting community. This Continue Reading
