Satellites and satellite imagery are very large and extensive topics within meteorology. Here, we focus on identifying weather features that could affect your ski day. First, we need to explain the three most important types of satellite images that meteorologists use to help them understand the current weather in the atmosphere: visible, infrared (IR), and water vapour satellites. Understanding current conditions is an important step in weather forecasting:
To help you interpret satellite imagery, here is a quick reminder of a low pressure system pattern (Fig. 5no.1). You already know that low pressure systems have warm and cold fronts. Note that in the Pacific Northwest, warm fronts are usually a lot shorter than cold fronts, although the order they appear around the low centre is not different.
Fig. 5no.1 - Surface weather map for the Northern Hemisphere with isobars showing a low pressure centre in the middle, surrounded by regions of relatively higher pressure. The winds travel counterclockwise around the low pressure. The red line with semi-circles indicates a warm front, and the blue line with triangles indicates a cold front. The purple line is an occluded front, where the cold airmass (behind the cold front) has caught up with the warm air mass (associated with the warm front) and under-rides cooler air. The rising motion along all three fronts leads to condensation of water vapour and usually precipitation. (Credit: West).
Visible satellite imagery shows you a black and white version of what you would see if you were in space looking down on the earth. The sunlight illuminates the cloud tops at all levels in the atmosphere. These show up as light grey and white on the satellite image, and where there are no clouds, you can see the earth's surface, showing up as dark grey on the satellite image. The downside of visible imagery is that you cannot see anything at nighttime because there is no sunlight.
Fig. 5no.2 - Visible satellite image with interpreted features, from 3 PM PDT on 13 March 2022. The blue line denotes the cold front, the red line denotes the warm front, and the purple line denotes the occluded front. (a), (b), and (c) are referred to in the text. (Credit: CIRA/RAMMB GOES 17)
Fig. 5no.2 above is a visible satellite image from 3 PM PDT on 13 March 2022. The lines and annotations show a reasonable interpretation of where the fronts and other features are, as follows:
You have already viewed IR satellite images in Snow Modules A and B. IR sensors detect radiation in the thermal part of the spectrum, i.e. how hot or cold objects are. The amount of IR radiation reaching the satellite depends on the temperature of the object emitting that radiation.
Fig. 5no.3 Infrared satellite image with interpreted features, from 3 PM PDT on 13 March 2022. The blue line denotes the cold front, the red line denotes the warm front, and the purple line denotes the occluded front. (a), (b), and (c) are explained in the text. (Credit: CIRA/RAMMB GOES 17)
The infrared (IR) image detects the temperature of objects (clouds, ocean, ground) that are emitting radiation. The warmer temperatures come from objects lower in the atmosphere, like low clouds, the ground, and the ocean - these show up as dark greys. Low clouds can be difficult or impossible to distinguish from the ground because they have a similar temperature. Medium-altitude clouds are cooler, and appear in the image as medium to lighter greys. Cold temperatures come from objects higher in the atmosphere, like higher cloud tops - these show up as /blue/green etc. The highest cloud tops here (green over the northeast Pacific Ocean) are around -60°C!
Note that you can only infer where cloud-tops are from IR images. That means you can't distinguish between high, thin clouds (cirrus) that contain little moisture and are not a weather hazard, and deep storm clouds that span much of depth of the troposphere and bring bad weather, based on temperatures alone. However, you can often infer storm and frontal locations by their shape and organization. Also, on a sunny afternoon, the land heats up sufficiently to appear almost black (the left, warmer end of the scale), but the ocean does not change temperature as much as the land, and therefore does not change colour as much. The best course of action is to use visible and IR satellite images together to deduce where threatening clouds or clear air are located.
Fig. 5no.3 above is an IR satellite image from the same time, roughly 3 PM PDT on 13 March 2022. The lines and annotations are in the same place:
Nighttime blindspot
The main limitation of visible imagery (not visible at night), and the
main limitation of IR imagery (difficult to see low clouds), combine
forces during ski season. Often valley cloud forms at night
(particularly in the BC Interior) under a high pressure pattern. Since
valley cloud is nearly impossible to see on either visible or IR
imagery in the early morning in winter, it can leave forecasters with a
bit of a blind spot. The best tool to overcome this is looking at
surface observations. Some weather stations, particularly those located
at airports, will report cloud cover and visibility overnight. Looking
at mountain webcams at sunrise can help as well.
Water vapour satellite imagery is not actually useful for looking at the water vapour that plays a major role in our sensible weather, i.e. the water vapour near and at the surface of the earth. Instead, it shows water vapour in the upper half of the troposphere. It is mentioned here because it can be useful in the absence of visible and/or IR satellite imagery, but it is really only useful for looking at large-scale flow and features in the upper levels of the atmosphere. These aspects of the atmosphere are not covered in this course, so interpretation of water vapour imagery is likewise not covered.
Here is a table summarizing how to identify different weather features on visible and IR satellite imagery. Limitations are also listed.
Table. 5no.1 - Summary of how to identify weather features (row headers) with useful types of satellite imagery (column headers). Also shown is limitations of the types of satellite imagery. (Credit: Howard and West).
The new geostationary satellites have many channels (e.g., visible colours, IR and others) that can be combined to give a very useful geocolor satellite image that looks realistic both day and night. Figure 4 shows a sample, for roughly the same time and date as the images above.
Fig. 5no.4. Geocolor satellite image, from 3:20 PM PDT on 13 March 2022. (Credit: CIRA/RAMMB GOES 17)
Geostationary satellites are "parked" over the equator at a fixed longitude. An advantage is that they are good for taking time-lapse photos that you can view as a movie loop. The disadvantage is that they are so far away from Canada that they get a very oblique (slant) view of the provinces, and cannot see the northern parts of the territories and Arctic Canada at all.
One of my favorite sites is:
Keywords: infrared, visible, water vapour, geocolor, geostationary satellite, polar-orbiting satellite
Figure Credits
Howard: Rosie Howard
West: Greg West
Stull: Roland Stull
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