The GOES Imagers measure radiation in five spectral bands, including one visible (channel 1) and four infrared channels. These spectral bands are summarized below and are also briefly discussed in another RAMM Branch tutorial, Introduction to GOES-8.
GOES’ Imager Channel Spectral Bands
Channel | Central Wavelength | Ground Resolution |
(microns – um) | (kilometers – ks) | |
1 | 0.7 | 1 |
2 | 3.9 | 4 |
3 | 6.7 | 8 |
4 | 10.7 | 4 |
5 | 12.0 | 4 |
Fig. 1a presents a high resolution atmospheric absorption spectrum and comparative blackbody curves for temperatures ranging from 200 K to 300 K. The spectrum was observed by a satellite-borne interferometer, over a region where the earth surface temperature was around 295 K. The spectrum shows the effect of various atmospheric gasses on what is observed at the top of the atmosphere. At 6.7 um notice that most of the radiance received by the sensor comes from very cold temperatures; this is because water vapor is a very active absorber in that portion of the spectrum, and thus any radiation reaching the sensor comes from emission of water vapor that is very high in the atmosphere.
Around the 10.7 um region, most of the energy radiated from the surface reachs the sensor, thus the term “atmospheric window” since the temperature measured is close to scene temperature. The window region around 12 um, especially out toward 12.8 um, is contaminated by low level water vapor, and thus is called the “dirty window.” Notice the region around 4.0 um (detailed in Fig. 1b), this is another “atmospheric window” region, and it is “cleaner” than either 10.7 or 12.0 um, however, it is contaminated by solar reflection during daytime. It is the GOES imagers’ spectral band that lies in this window region, 3.78 – 4.03 um, that is the focus of this tutorial.
This module highlights the utility of the GOES 3.9 um imagery, available for the first time as a dedicated imager channel from geostationary orbit. It is also one of the nineteen channels of the GOES sounding instruments. Interpretation of 3.9 um data differs from that of the longer wavelength infrared bands, which the user may be more accustomed to, since it contains both reflected solar, and emitted terrestrial, radiation. Characteristics of reflected and emitted radiation in this band are different from either the visible or the 10.7 um bands, thereby promoting enhanced capabilities of GOES multispectral imagery.
This section presents the user with a short technical discussion of radiation. Most meteorology texts devote several chapters to the topic of radiation, and there are texts devoted entirely to this subject. The reader is referred to those sources for more detailed information. The purpose of this section is to refresh users with those aspects of radiative transfer pertinent to the analysis of satellite imagery, particularly the channel at 3.9 um. Review the following subjects either in order or, if you wish, click on any one of them to go directly to its subject content:
GOES satellites measure energy in spectral regions ranging from the visible portion of the electromagnetic spectrum to the far infrared. At visible wavelengths, that energy is only reflected solar radiation (radiation from the sun which is reflected by the earth’s surface and clouds); at far infrared wavelengths, that energy is only emitted terrestrial radiation. However for the short wavelength infrared channel, the 3.9 um spectral band, energy measured by the satellite can be a mixture of solar radiation that is reflected by the earth’s surface or clouds and radiation that is emitted by the earth’s surface or clouds.
Figure 2a shows the Planck blackbody radiance curves for the sun (6000 K) and the earth (300 K). The energy received from the sun at the top of the atmosphere is represented by the area under the left-hand curve, and energy emitted by the earth is represented by the area under the right-hand curve. If all the sun’s energy reaching the earth were reflected back to the satellite, a satellite detector would sense the values represented by the solar curve (the left side of Fig. 2a). However, about 50% of the sun’s energy is selectively absorbed by various atmospheric constituents (ozone, water vapor, molecular oxygen, carbon dioxide, certain aerosols) and the earth’s surface. The remainder is scattered back to space by aerosols and reflected by clouds and the earth’s surface. That scattering and reflection is a function of wavelength and the particular constituent (cloud phase/droplet size, soil type, etc.) with which the interaction is occurring. This reflected and back scattered solar energy can be detected by a satellite sensor. The vertical lines in the figure locate the spectral region sensed by GOES in the 3.9 um band. Satellite detectors do not measure energy at a single wavelength, the GOES imagers’ 3.9 um channel extends from 3.78 – 4.04 um. In the figure, notice that satellite measurements in the 3.9 um band are a combination of earth emitted and solar reflected radiation.
Figure 2b shows a close-up view of the portion of Figure 2a (previous page) where the Planck curves for the sun and the earth overlap. Curves for solar reflection at 50% and 20% are shown as well. The exact combination of solar and terrestrial energy measured by the satellite at 3.9 um depends on the time of day as well as the reflectance and emissivity of the underlying surface. This combination of emitted terrestrial energy and reflected solar energy during daytime, combined with information on cloud and surface characteristics, is one of the things that make interpretation of imagery at 3.9 um so interesting.
The contribution to the measured radiance temperature at 3.9 um, due to the reflected solar component, may be determined from Fig. 2c. The set of curves shows the radiance temperature that would be measured by a satellite for cloud tops at several temperatures (with albedo = 0 and emissivity = 1.0), with respect to increasing amounts of reflected solar radiation. Notice that the radiance temperature measured at 3.9 um begins to converge near an upper limit, around 350 K. This convergence occurs because as cloud albedo increases, the addition of reflected solar radiance far outweighs the cloud’s emitted radiance (evident in Fig. 2b). When inspecting Fig. 2c, keep in mind that cloud top temperatures above 285 K are rare.
The GOES-8 3.9 um sensor gain is set to saturate at 335 K, and 3.9 um saturation for GOES-9 occurs at 325 K. Saturation for this sensor in future GOES Imagers, like GOES-8, will be at 335 K.
Emissivity is a function of both wavelength and surface type. Fig. 3a is a plot of emissivity vs. wavelength for four different surfaces. Notice that the emissivity for soil types is more variable near 3.9 um than 10.7 um, e.g., dry sand has an emissivity near 0.8 at 3.9 um and 0.95 at 10.7 um. Imagery of sandy areas appears cooler at 3.9 um than at 10.7 um when there is no reflected solar radiation (e.g., at nightime, in a dry atmosphere). This “apparent” temperature difference affects the interpretation of derived image products
Referring again to Fig. 3a, strong absorbers at a particular wavelength are also strong emitters at that wavelength. Furthermore, during the daytime, radiation that is not absorbed is reflected by the surface. Because of this, in the 3.9 um imagery, land surfaces will appear different, depending on their composition. This is especially apparent over regions like White Sands, NM, where the soil type is mainly sand (g = 0.75 to 0.85) and across north-central GA, AL and MS, where more reflective soils are found. The imagery shown in the “fire detection” section also demonstrates this characteristic.
Reflection at 3.9 um is sensitive to cloud phase and is very sensitive to particle size, as is shown in Fig. 3b. Notice how water droplets are more reflective than ice particles of the same size. In clouds, water droplets are normally between 5 and 20 um in diameter, depending upon cloud type, while ice crystals are usually an order of magnitude larger. Reflection that is detected by a satellite is from multiple scattering (Fig. 3b represents a single scatter) and each reflection further reduces the amount of energy returned to the satellite. For example, three reflections each, by ice at 100 um and water at 10 um, yield scattering values of 0.16 and 0.73 respectively.
During the daytime, clouds with small water droplets, such as cumulus, fog and stratus over land, are much brighter when viewed at 3.9 um than are ice clouds, which are very poorly reflective and hence, dark. Marine stratocumulus, with their larger water droplets, appear relatively dark when compared to cumulus or stratus over land.
Aside from emissivity and reflectivity, several other factors are responsible for differences in the appearance of imagery between the 3.9 um and 10.7 um bands: 1), different responses to scene radiance make possible the detection of sub-pixel hot regions at 3.9 um that are not detected at 10.7 um; 2), the exaggeration of noise at cold temperatures in the 3.9 um band makes it virtually useless for thunderstorm top analysis; 3), because of diffraction effects, the 3.9 um and 10.7 um bands view slightly different areas; and 4), criteria for displaying 3.9 um imagery may differ between day and night since the 3.9 um band also contains reflected solar energy during the daytime.
For more in-depth discussion of these differences, please review the following topics:
In Fig. 4a, satellite-measured radiance temperatures at 3.9 and at 10.7 um are compared at night-time, when there is no reflected radiation at 3.9 um, for a FOV where the ground at 300 K becomes increasingly covered with clouds at 260 K. Also, in this case, surface emissivities are assumed to be equal to 1.0 and atmospheric absorption is assumed to be negligible.
Notice that when the FOV is either totally clear or totally cloud covered, the radiance temperatures at 3.9 and 10.7 um are the same. However, as fractional cloud cover increases, the radiance temperature at 3.9 um becomes greater than the radiance temperature at 10.7 um due to the stronger response at 3.9 um to the warm portion of the partially filled FOV.
Figure 4b shows the radiance temperature difference,
between the 3.9 um and the 10.7 um wavelengths as a function of cloud fraction. In this case (ground at 300 K and cloud at 260 K) the radiance temperature difference reaches a maximum of nearly 6 K, at about 65% cloud cover. The difference in radiance temperature may be of value in determining sub-pixel information about the clouds. If uniform cloud and ground cover (whose temperatures are known) can be assumed, then the fractional amount of cloud can be determined (if the effects of diff
Figs. 4c & 4d are plots of radiance versus temperature for the GOES channels at 3.9 um and 10.7 um respectively. The accuracy of the radiance measurements at each wavelength is constant and is shown by the horizontal dashed lines in each figure. However, temperature measurement accuracy, shown by the corresponding vertical dashed lines in each figure varies with respect to scene temperature. Notice that the radiance at 10.7 um (Fig. 4d) is fairly linear with temperature compared with radiance versus temperature at 3.9 um (Fig. 4c). This means that 10.7 um radiance temperatures may be determined very accurately for both warm and cold scene temperatures. In the 3.9 um figure, notice how radiance increases rapidly with increasing temperature. Also notice how “flat” that curve is at cold temperatures. Since the inherent measurement accuracy of the GOES instrument at 3.9 um is constant, the result is a much less accurate temperature measurement at cold versus warm scene temperatures. Interpretation of this figure shows that GOES’ 3.9 um imagery is less useful for analyses in cold temperature regions, such as thunderstorm tops; however, for measurements of warm surface temperature the 3.9 um channel does a fine job.
Fig. 4e is a plot of noise equivalent temperature as a function of scene temperature for the 3.9 and 10.7 um channels. The figure shows that the accuracy with which temperature can be measured at 3.9 um is worse than 2 K for scene temperatures below about 250 K. On the other hand, at 10.7 um, the accuracy is always better than 0.5 K for all possible scene temperatures. Another way of showing the effect of low scene radiance at 3.9 um is by inspecting the signal-to-noise ratio (S/N) versus temperature, Fig. 4f. Signal-to-noise, as used here, is the ratio of the scene radiance divided by GOES’ radiance accuracy. Fig. 4f shows that the 10.7 um channel has a much better S/N than the 3.9 um channel. In fact, the S/N at 3.9 um decreases to where there is no signal above noise at temperatures below about 230 K, making this channel of little use at colder scene temperatures.
Since the 3.9 um channel contains both reflected and emitted radiation, the question arises “Should it be displayed as a visible or an infrared image?” To address this issue, a short review of satellite image display history is appropriate.
With the early TIROS, visible imagery showed clouds as bright white and ground as dark, a direct relationship between scene energy and image grey scale. When the first longwave infrared (IR) imagery was received and visible lookup tables were used to display the data, high energy areas (ground and ocean) were white and low energy areas (cirrus and thunderstorm tops) were dark. This was opposite from the convention analysts were accustomed to using. As a result, it was decided to invert the IR display table so that low infrared energy was displayed as white and high infrared energy as dark. This has served us well for many years, but now, since the 3.9 um channel senses both reflected and emitted radiation during the daytime, a choice must be made as to how that channel should be displayed. (Perhaps, in time, it will be presented as a derived image product, in combination with one or more other channels.)
In this tutorial the 3.9 um imagery is presented in terms of energy vs. grey scale (as with the VIS imagery), cold clouds, ice, ice clouds and snow appear dark; while warm surfaces, water clouds and sun glint appear light-to-bright (sun glint at 3.9 um is much more intense than at visible wavelengths). Land surfaces, being both hot and reflective, can appear very bright. Alternatively, the 3.9 um information may be presented as any one of the other wavelengths/channels. Whatever choice is made, the user must analyze the information in terms of energy and cloud/surface type to minimize confusion. See a winter storm example for comparing the presentation of the different imager channels.
Been hit by a tornado.
Q1: Where are you calling from?
Q2: Are you injured or trapped?
If the caller IS injured:
Tell the caller…
If the caller IS NOT injured:
Q3: Do you know if there are others injured around you?
Q4: Please describe the damage in your area?
Tell the caller…
NOTE: If this tornado has not been previously reported, you should pass the report along to both the local Emergency Operations Center, and the nearest National Weather Service office.
Calling to report a tornado sighting.
Q1: Are you in the tornado’s path?
If the caller IS in the tornado’s path:
Q1: Are you calling from a building, wood-frame house, mobile home, or car?
If the caller is…
Calling from a school, nursing home, hospital,
or shopping mall in the path of a tornado.
Tell the caller…
Card “A1”
Calling from a high-rise building in the path of a tornado.
Tell the caller…
Calling from a house in the path of a tornado.
Tell the caller…
Calling from a trailer or mobile home in the path of a tornado.
Tell the caller…
Q1: Are you in city traffic, or in a rural area?
Vehicle is in city traffic:
Tell the caller…
Vehicle is in a rural area:
Tell the caller…
If the caller IS NOT in the tornado’s path:
Q1: Where is the tornado from your position (direction and approximate distance)?
Q2: Has the tornado hit anything? If so, what?
Q3: What is your best estimate of its direction and speed of motion?
Tell the caller…
NOTE: If this tornado has not been previously reported, you should pass the report along to both the local Emergency Operations Center, and the nearest National Weather Service office.
There are only two (2) contingencies that necessitate E-911 response:
Non-Emergency Advice (if time permits):
NOTE: Types of injury associated with tornadoes: lacerations, blunt-force trauma, trapped by debris, automobile accidents, cardiovascular.
NOTE: The dispatcher is not required to ask every question in the natural disaster series. Ask only those questions that pertain to the specific call.
Caller is worried by nearby lightning.
Q1: Where are you?
Dispatcher:
Tell the caller…
Caller reporting a house hit by lightning.
Q1: Where are you?
Q2: Is the structure on fire?
Q3: Do you see or smell smoke?
If the structure IS on fire, dispatch a full structure response:
Tell the caller…
If the structure does NOT appear to be on fire:
Dispatcher:
Tell the caller…
Caller reporting someone (else) hit by lightning.
Q1: Where are you?
Q2: Where is the victim?
Q3: Is the victim still exposed to lightning?
Dispatcher:
If the caller is still directly exposed to further lightning strikes:
Tell the caller…
Once the caller is in a safe place, handle any injuries per normal EMD procedures.
Caller has been hit by lightning.
Q1: Where are you?
Q2: Are you still exposed to lightning?
Dispatcher:
If the caller is still directly exposed to further lightning strikes:
Tell the caller…
Once the caller is in a safe place, handle any injuries per normal EMD procedures.
There are three (3) contingencies that warrant E-911 response:
Otherwise (time permitting):
Non-Emergency Advice (if time permits):
NOTE: Types of injury associated with lightning: electrical shock, burns, cardiovascular.
NOTE: The dispatcher is not required to ask every question in the natural disaster series. Ask only those questions that pertain to the specific call.
Calling to report extremely deep hail.
Q1: Where are you calling from?
Q2: Are you currently in large hail?
Q3: What size is the hail?
Q4: When did it start?
If the hail is a foot deep or greater, and is “flowing:”
DISPATCHER NOTE: Hail that is a foot deep or greater, and is “flowing” represents a very dangerous situation. Call the Street Department, the Emergency Manager, and the National Weather Service to report the situation immediately.
If the caller is…
Q1:Is your vehicle in deep hail?
Caller’s vehicle IS in deep hail:
Close all of your windows. | |
You should stay in your vehicle unless it begins to wash away toward a deep body of water (like a river). It is very dangerous to exit your car. You could be swept away and buried in the hail. | |
Caller’s car IS NOT in deep hail: | |
Tell the caller… | |
Do not drive into areas with deep hail. You could be swept away. | |
Do not leave your car until the hail stops. Your car will furnish reasonable protection. | |
Stay away from windows. Cover your eyes with something (like a piece of clothing). If possible, get onto the floor face down, or lay down on the seat with your back to the windows. Put very small children under you, and cover their eyes. |
Q1: Is the deep hail inundating your house?
Tell the caller…
Stay inside. You could be swept off your feet by deepening hail. |
Don’t go to the basement. The hail could burst through basement windows. |
Stay away from windows, especially windows that are being hit by hail. |
Check to make sure that all family members, building occupants, pets, etc. are accounted for. |
Don’t go outside to move anything (like cars, plants, etc.) to safety. If it’s already hailing, it’s too late. |
You need to hang up the phone now, because lightning can travel along phone lines and injure you. |
Q1: Is there any shelter around you?
Tell the caller…
NOTE: If the reported size is ¾” or greater, mark the location of the report on a map. Pass the report along to both the local Emergency Operations Center (or Emergency Manager), and the nearest National Weather Service office (as time permits).
If the hail IS NOT a foot or more deep, nor “flowing” downhill:
Tell the caller…
NOTE: Pass the report along to both the local Emergency Operations Center (or Emergency Manager), and the nearest National Weather Service office (as time permits).
Someone else injured by large hail.
First: Help the caller reduce the victim’s continued exposure to injury by following the below instructions.
Second: When exposure to further injury has been reduced as much as possible, then follow standard emergency medical procedures.
Q1: Where are you calling from?
Q2: Is hail occurring now? If so, what size is it?
Q3: Is the victim outdoors, inside a structure, or in a car?
If the caller is…
Q1: Where is the victim?
Q2: Is the car damaged?
If the caller IS in the vehicle with the victim:
Tell the caller…
Stop driving. If you can see a safe place close-by to drive the car into (like a garage, or under a highway overpass, or beneath service station awning), do so now. Make sure you pull off the highway completely. |
A tree is not the best place to seek shelter. It is common for trees to lose their branches during severe storms. |
Do not leave the car until it stops hailing. The car will furnish reasonable protection. |
Stay away from windows. Cover your eyes and the victim’s with something (like a piece of clothing). If possible, lay face-down, preferably on the floor. Put very small children under you, and cover their eyes. |
Do not try to reach the victim until the hail has stopped. |
Stay at your location to help direct emergency responders. |
If the caller is NOT in the vehicle with the victim:
Tell the caller:
NOTE: If the reported size is ¾” or greater, mark the location of the report on a map. Pass the report along to both the local Emergency Operations Center (or Emergency Manager), and the nearest National Weather Service office (as time permits).
Q1: Where are you calling from?
Q2: Has the hail done any significant damage?
Tell the caller…
Q1: Where are you?
Q2: Is there any shelter around you?
Tell the caller: | |
If it is still hailing, you must find shelter. If you have to move the victim, try to do so with as little neck movement as possible. If you can’t move the victim, find something to protect them from injury – if not their entire body, then at least find something to protect their head. Find shelter for yourself as well. | |
Stay out of culverts and lowland areas that might fill suddenly with water. | |
Trees are a last resort. It is common during severe storms for trees to lose their branches. Also, large isolated trees attract lightning. |
NOTE: If the reported size is ¾” or greater, mark the location of the report on a map. Pass the report along to both the local Emergency Operations Center (or Emergency Manager), and the nearest National Weather Service office (as time permits).
Calling to report large hail – not injured.
If the caller IS in large hail:
Q1: What size is the hail?
Q2: When did it start?
Q3: Are you outside, inside a structure, or in a car?
If the caller is…
Q1: Where are you?
Q2: Is your car damaged?
Tell the Caller…
Stop driving. If you can see a safe place close-by to drive to (like inside a garage, or under a highway overpass, or beneath service station awning), do so now. Make sure you pull off the highway completely. |
A tree is not the best place to seek shelter. It is common for trees to lose their branches during severe storms. |
Do not leave your car until it stops hailing. Your car will furnish reasonable protection. |
Stay away from windows. Cover your eyes with something (like a piece of clothing). If possible, get onto the floor face down, or lay down on the seat with your back to the windows. Put very small children under you, and cover their eyes. |
Q1: Where are you calling from?
Q2: Has the hail done any significant damage?
Tell the caller…
Stay inside until the hail stops. |
Stay away from windows, especially windows that are being hit by hail. |
Check to make sure that all family members, building occupants, pets, etc. are inside, but do not go outside for any reason. If you are hit in the head, you could be seriously injured, or even killed. |
Don’t go outside to move anything (like cars, plants, etc.) to safety. If it’s already hailing, it’s too late. |
Unless you are calling from a cell phone, you need to hang up the phone now. Lightning can travel along phone lines and injure you. |
Q1: Where are you?
Q2: Is there any shelter around you?
Tell the caller…
If it is still hailing, you must find shelter. If you can’t find something to protect your entire body from injury, then at least find something to protect your head. |
Stay out of culverts and lowland areas that might fill suddenly with water. |
Trees are a last resort. It is common during severe storms for trees to lose their branches. Also, large isolated trees attract lightning. |
If the caller is NOT in large hail at the time:
Q1: How long ago did it stop hailing?
Q2: How large was the hail?
Q3: Can you tell in which direction the storm moved off?
Tell the caller…
NOTE: If the reported size is ¾” or greater, mark the location of the report on a map. Pass the report along to both the local Emergency Operations Center (or Emergency Manager), and the nearest National Weather Service office (as time permits).
There are four (4) contingencies that warrant E-911 response:
Non-Emergency Advice (if time permits):
NOTE: Types of injury associated with hail: blunt-force trauma, falls, broken glass (especially in the eyes).
NOTE: The dispatcher is not required to ask every question in the natural disaster series. Ask only those questions that pertain to the specific call.
Calling from an automobile (van, SUV).
Q1: Where are you located?
Q2: Are you trapped in your vehicle?
Q3: Is the water deep, or flowing fast?
Q4: Is your vehicle floating? If so, which direction is it going?
If the person IS trapped in very deep, fast-moving water and/or the vehicle is floating away (especially if water is getting into the automobile and their life is threatened):
Tell the caller…
If the victim IS NOT in very deep, fast-flowing water, nor floating away:
Tell the caller…
Calling from a flooding mobile home.
Q1: What address are you calling from?
Q2: Is the mobile home on fire, or are there any sparking outlets?
Q3: Is the structure collapsing?
If there IS a fire danger, or threat of structural collapse:
Things to tell the caller…
Calling from a flooding mobile home – no fire problem.
Q1: Is the water inside the mobile home?
If the water HAS already gotten into the mobile home:
Things to tell the caller…
If the water HAS NOT gotten into the mobile home:
Things to tell the caller…
Q1: Where are you calling from?
Q2: Is the structure on fire, or collapsing?
Q3: Are there sparking utility outlets?
If there IS a fire danger, or threat of structural collapse:
Things to tell the caller…
If there is NO danger of fire or structural collapse:
Q1: Do you have a basement?
If the caller DOES have a basement:
Q1: Is there water in the basement?
Q2: Is the water at least knee deep (2+ feet) and/or rising fast?
If the answer is knee deep and/or rising fast:
If the answer is not deep nor rising fast:
If the caller DOES NOT have a basement:
Q1: Is the water getting into your house?
Q2: Is the water knee deep (2+ feet) and/or rising fast?
Calling about someone (else) drowning in a creek or ditch.
Q1: Where are you calling from?
Q2: Where is the victim?
Q3: Is the victim washing away, or stationary?
Q4: How deep is the water?
If the victim is washing away down a creek or ditch:
Tell the caller…
If the victim is clinging to an object and seems relatively safe for the moment:
Tell the caller…
Flash Flood Card “B”
Calling about someone (else) trapped in a vehicle.
Q1: Where are you calling from?
Q2: Where is the vehicle?
Q3: Is the car in deep, fast-moving water?
Q4: Is the victim’s vehicle floating? If so, what direction?
If the trapped victim IS in deep, fast-moving water – especially if water is getting into the vehicle and the victim feels their life is threatened:
Tell the caller…
If the trapped victim IS NOT in deep, fast-moving water, or floating away:
Tell the caller…
Flash Flood Card “A”
If the caller…
If not, then ask…
Are you calling from a house (building), mobile home, or automobile?
Non-Emergency Advice (if time permits):
NOTE: Types of injury associated with flooding: automobile accidents, drownings, electrical shock, cardiac, blunt trauma, lacerations, and falls.
NOTE: The dispatcher is not required to ask every question in the natural disaster series. Ask only those questions that pertain to the specific call.
NOTE: If flooding has not been previously reported, you should pass the information to both the local Emergency Operations Center, and the nearest office of the National Weather Service.
Q1: What is your location?
Q2: Can you see any signs or landmarks?
Q3: Are you alone? If others are with you, are they children or elderly?
Q4: Do you have food, water, and warm clothes or blankets?
Tell the caller…
Blizzard Card “E”
Caller is stuck in a building
(e.g., a school, hospital, shopping mall, nursing home, or office building).
If any part of the structure is collapsing:
*FIND OUT HOW MANY PEOPLE ARE IN THE BUILDING*
Tell the caller…
If the structure is not collapsing:
Tell the caller…
If there has been a power outage:
Blizzard Card “D”
Caller is stuck in a house or mobile home.
Tell the caller…
Blizzard Card “C”
Caller is trapped outdoors (not in a vehicle).
Q1: Can you pinpoint your location?
Q2: Can you see any signs or landmarks?
Q3: Are you alone? If others are with you, are they children or elderly?
Tell the caller…
If shelter cannot be found:
Tell the caller…
Blizzard Card “B”
Calling about broken water lines, tree limbs on power lines,
or broken tree limbs.
If the problem is broken water pipes:
Q1: Has any structural damage occurred?
Tell the caller ….
If the problem is broken tree limbs on power lines:
Tell the caller ….
If tree limbs are breaking, but not causing a safety problem:
Tell the caller ….
NOTE: Types of injury associated with blizzards: hypothermia, automobile accidents, cardiac, falls, frostbite.
NOTE: The dispatcher is not required to ask every question in the natural disaster series. Ask only those questions that pertain to the specific call.
Overview:
When first exposed to the chaos surrounding a natural disaster and its aftermath, many in the emergency communications profession are surprised by the vast range of questions and requests they receive from the public. Some of the requests seem unimportant or trivial to them in the heat of the moment. Many times the questions being asked are ones they have never heard before, and ones to which they have no answers. To assist with such situations, a system called “Natural Disaster Information Cards,” or “NDIC” has been developed.
There are three intended usages for the Natural Disaster Information Cards. These include:
Real time guidance during an event
In-service training
Refresher information on days when an event is anticipated
Print as many copies of the NDIC sets as needed for your purposes. It is suggested that you print the cards for each event type on a different color paper (e.g., gray or white for blizzards, blue for hail, green for floods, yellow for lightning, pink for tornadoes, etc). Then insert the cards into a notebook with dividers to separate the event types. Make sure the notebooks are clearly labeled so they can be located quickly when needed.
Once the cards have been prepared, the following procedures are recommended:
Remember – the NDIC cards are set up to function like a “flow chart,” the path of which varies according to the specific circumstances, much like Emergency Medical Dispatch (EMD) cards. The questions on the first card are designed to lead to the next card, where other questions more directly related to the individual inquiry are available. PLEASE NOTE: Only those questions relevant to the specific inquiry need to be asked. The cards are structured to get the correct information to the caller in a very short time, usually less than a minute, without requiring the call-taker to memorize the information.
If your area is prone to any of the events covered by the cards, it is suggested that all emergency communications staff review and discuss the card set for the anticipated event in advance of the normal event “season” for your city or county. Make sure to solicit comments concerning contingencies not covered by the cards, considering any quirks in the local system that might require a change in the NDIC protocol.
On days when the National Weather Service or your local weather information provider suggests that a serious weather event is possible, conduct shift briefings for emergency communications personnel to review the NDIC cards and discuss late information which could alter normal protocol.
The Natural Disaster Information Cards were developed as a joint effort between the City of Fort Collins Office of Emergency Management, the National Oceanic and Atmospheric Administration (NOAA) and the Cooperative Institute for Research in the Atmosphere (CIRA). The information contained on the NDIC card sets was current and correct at the time of publication. The developers encourage each agency using NDIC to examine the card sets carefully and make necessary updates and alterations to make them viable for local use. Users of the Natural Disaster Information Cards agree by their use to hold blameless each and all of the agencies and individuals involved in their development for any liability associated with their use in any form. In addition, the developers assume no responsibility or liability for suggested actions or other information contained within NDIC which subsequently becomes outdated.
October 21st, 2004
The EuroMET materials are currently being provided by EUMETCAL . Access is free for any educational use: a password is no longer necessary.
Updated: 25th October 2004
Powered by SPIP
This page contains the release of the “MSG Interpretation Guide” version 1.0, collecting material in the form of Powerpoint files for the various application areas of MSG. The next release is expected end of 2005.
Contributions from Jochen Kerkmann (EUMETSAT), Hans Joachim Lutz (EUMETSAT), Marianne König (EUMETSAT), Jose Prieto (EUMETSAT), Pirkko Pylkko (FMI), HansPeter Roesli (SMA), Daniel Rosenfeld (HUJ), Johannes Schmetz (EUMETSAT), Veronika Zwatz-Meise (ZAMG)
Edited by Veronika Zwatz-Meise (ZAMG) and Jochen Kerkmann (EUMETSAT).
HTML Programming and Maintenance: Christian Zwatz (ZAMG), Barbara Steiner (ZAMG) and Carsten Schaefer (EUMETSAT).
This material is provided for education and training purposes only. Any reproduction should acknowledge the source of this material.
A DVD containing the complete fileset can be ordered by contacting EUMETSAT User Services.
Copyright: EUMETSAT, 2004
For optimal use of all parts of this compendium, an Internet Browser, Microsoft Word, Microsoft Powerpoint and a Media Player are required.
Please note: If you experience difficulties opening any of the files directly from you browser, it is recommended to download files to your hard drive first (e.g. right click on a link and choose Save Target As / Save Link As) and then display the files using a suitable application.
The Powerpoint files marked with (*) contain links to animation loops that can be viewed/downloaded seperately using the links marked by a “CLICK HERE” icon.
From MFG to MSG (MS PowerPoint, 11890 KB) *
Comparison between MFG and MSG: Examples (MS PowerPoint, 17838 KB)
Simple Overview of all MSG channels:
Channel No. | Spectral Band (µm) | Characteristics of Spectral Band (µm) | Main observational application | ||
---|---|---|---|---|---|
Centre | Min | Max | |||
1 | VIS0.6 | 0.635 | 0.56 | 0.71 | Surface, clouds, wind fields |
2 | VIS0.8 | 0.81 | 0.74 | 0.88 | Surface, clouds, wind fields |
3 | NIR1.6 | 1.64 | 1.50 | 1.78 | Surface, cloud phase |
4 | IR3.9 | 3.90 | 3.48 | 4.36 | Surface, clouds, wind fields |
5 | WV6.2 | 6.25 | 5.35 | 7.15 | Water vapor, high level clouds, atmospheric instability |
6 | WV7.3 | 7.35 | 6.85 | 7.85 | Water vapor, atmospheric instability |
7 | IR8.7 | 8.70 | 8.30 | 9.1 | Surface, clouds, atmospheric instability |
8 | IR9.7 | 9.66 | 9.38 | 9.94 | Ozone |
9 | IR10.8 | 10.80 | 9.80 | 11.80 | Surface, clouds, wind fields, atmospheric instability |
10 | IR12.0 | 12.00 | 11.00 | 13.00 | Surface, clouds, atmospheric instability |
11 | IR13.4 | 13.40 | 12.40 | 14.40 | Cirrus cloud height, atmospheric instability |
12 | HRV | Broadband (about 0.4 – 1.1 µm) | Surface, clouds |
Channels | Basic information | Characteristic applications and examples |
---|---|---|
SEVIRI instrument | A short introduction to Meteosat Second Generation (MSG) (MS Word, 1643 KB) Conversion from Counts to Radiances (MS Word, 3280 KB) | |
Solar channels: Ch01 (0.6 µm), Ch02 (0.8 µm), Ch03 (1.6 µm) | Introduction to Solar Channels (MS PowerPoint, 2588 KB) | Icing over the Alps (MS PowerPoint, 2636 KB) |
Ch12 (High Resolution Visible) | HRV (MS PowerPoint, 9610 KB) * | |
Ch04: 3.9 µm | Introduction to Channel 04 (3.9µm) (MS PowerPoint, 8228 KB) * | Fires – Smoke – Burned areas (MS PowerPoint, 3023 KB) |
IR Window channels: Ch07 (8.7 µm), Ch09 (10.8 µm), Ch10 (12.0 µm) | Introduction to Window Channels (MS PowerPoint, 3004 KB) | |
Water vapour channels: Ch05 (6.2 µm), Ch06 (7.3 µm) | Introduction to WV Channels (MS PowerPoint, 2886 KB) | |
Ozone Channel: Ch08 (9.7 µm) | Introduction to Ozone Channel (MS PowerPoint, 3032 KB) | |
CO2 channel: Ch11 (13.4 µm) | Introduction to CO2 Channel (MS PowerPoint, 947 KB) | |
RGB applications | Introduction to Differences and RGB Composites (MS PowerPoint, 14274 KB) RGB part 01 – Overview SEVIRI Channels (MS PowerPoint, 2639 KB) RGB part 02 – Introduction to RGB colours (MS PowerPoint, 416 KB) RGB part 03 – Channel selection and enhancements (MS PowerPoint, 3727 KB) RGB part 04 – RGB composites with Channels 01-11 and their interpretation (MS PowerPoint, 7931 KB) RGB part 05 – RGB composites with Channel 12 and their interpretation (MS PowerPoint, 2819 KB) RGB part 06 – NOT recommended RGB colour composites (MS PowerPoint, 1459 KB) | |
Cloud Processes | Insights into Cloud Processes (MS PowerPoint, 34786 KB) | Thin Cirrus clouds over Africa and the Southern Atlantic (MS PowerPoint, 5463 KB) Icing over the Alps (MS PowerPoint, 2636 KB) Clouds: Comparison MSG and Radar (MS PowerPoint, 3286 KB) Detection of contrails (MS PowerPoint, 6933 KB) * Contrails over Northern Italy (MS PowerPoint, 982 KB) |
Basic information | Characteristic examples | |
---|---|---|
Synoptic scale cloud configurations | Fronts Cold Fronts (MS PowerPoint, 12644 KB) Cyclones and Cyclogenesis Rapid Cyclogenesis (MS PowerPoint, 7375 KB) More to be added | |
Meso scale cloud configurations | Waves (MS PowerPoint, 5061 KB) Cold Air Cloudiness and EC (MS PowerPoint, 6405 KB) Commas (MS PowerPoint, 6902 KB) Monitoring of squall lines (MS PowerPoint, 9685 KB) * | Convergence Line over the Baltic Sea (MS PowerPoint, 1908 KB) |
Fog | Fog (MS PowerPoint, 11707 KB) * | Nowcasting of Fog (over Central Europe) (MS PowerPoint, 738 KB) Fog under high clouds over Italy (MS PowerPoint, 326 KB) Fog Vortex (Gulf of Biscay) (MS PowerPoint, 11551 KB) Shallow Fog (Alps) (MS PowerPoint, 984 KB) Fog over Northern Europe (MS PowerPoint, 2219 KB) |
Orographic cloud | Lee and Stau cloud (MS PowerPoint, 2348 KB) More to be added | |
Hazardous weather in small scale | Convection-Daytime (MS PowerPoint, 6299 KB) Convection-Nighttime (MS PowerPoint, 4425 KB) More to be added | Convection-Daytime over Africa (MS PowerPoint, 6488 KB) * Convection-Daytime over Europe (MS PowerPoint, 14459 KB) * |
Tropical Cyclones | Hurricanes (MS PowerPoint, 11250 KB) More to be added |
Basic Applications | Characteristic examples |
---|---|
Land and sea surface temperature Heat Islands (MS PowerPoint, 298 KB) Vegetation (MS PowerPoint, 1710 KB) Snow and Ice (MS PowerPoint, 6257 KB) * Land Surface – To be added Flood Monitoring – To be added Fires – Smoke – Burned areas (MS PowerPoint, 3023 KB) * |
Basic Applications | Characteristic examples and editional Loops |
---|---|
Water Vapour – To be added Dust and Aerosols Dust Storm (MS PowerPoint, 14029 KB) * Volcanic Ash Plumes – To be added Smoke Fires – Smoke – Burned areas (MS PowerPoint, 3023 KB) Ozone – Under construction Industrial Haze – To be added | Dust Storm Middle East – 22 – 23 January 2004 (MS PowerPoint, 24986 KB) Dust Storm Western Africa – 03 March 2004 (AVI Animation, 38403 KB) |
To be added
To be added
In order to install this lesson, you will need to create a new directory on your hard drive, download a self-extracting, compressed file into this directory, and then run this file in order to extract the data and program files. NWS Users: We strongly encourage you to install these files on a “modern” PDW (300 MHz Pentium II or faster, and at least 64 MB of RAM).
I. To get and install the VISITview lesson files on a Windows system:
II. This completes the installation. open the “Display” Control Panel and make sure your Settings for the Desktop Area is 800 by 600 pixels or greater click on the visitlocal.bat filename from My Computer or Windows Explorer.
Alternatively, you could open a Command Prompt window, and type:
cd \visit\rso
visitlocal A ViewClient window will appear which includes additional controls to load Selected lesson pages (or to move to the Next or Previous page). Note… If you are using a Unix or Linux system, you will need to install the Java Runtime Environment (JRE) software on your local computer…see the JRE instructions page.
NOAA/NWS Links
Alaska
NOAA – Alaska Aviation Weather Unit
Anchorage Center Weather Service Unit
Other
NOAA NCEI – Volcanic Data and Information – Natural Hazards
NOAA – HYSPLIT Model Description
NOAA/NESDIS/SSD – Volcano Webcam Links
NOAA – READY: Volcanic Ash Transport And Dispersion (HYSPLIT Model)
NOAA/NWS Forecast Decision Training Branch (FDTB)
NOAA/NWS Warning Decision Training Branch (WDTB)
USGS Links
USGS – Volcano Hazards Program
USGS – REDUCING THE THREAT TO AVIATION FROM AIRBORNE VOLCANIC ASH
USGS – Volcanic Ash–Danger to Aircraft in the North Pacific
USGS – Volcano Hazards Program Fact Sheets
USGS – Volcano Hazard Assessments
USGS – Volcano Hazards Program Publications
USGS – NVEWS: National Volcano Early Warning System
USGS – Volcanic Gases and Their Effects
Volcanic Ash Advisory Centers (VAAC) of the World
Volcano Observatories
Yellowstone Volcano Observatory
World Organization of Volcano Observatories
The Rest of the Observatories of the World
All The rest
Airline Pilots Association (ALPA) Volcanic Ash and Aviation Safety
San Diego State University – How Volcanoes Work
Michigan Tech University – Volcanic Clouds
Michigan Tech University – Volcano Information Links
The Smithsonian’s Global Volcanism Program
University Wisconsin Space Science Engineering Center (SSEC)
UW Cooperative Institute for Meteorological Satellite Studies (CIMSS)
State of Alaska Div. Air Quality – Volcanic Ash Fall
Colorado State University – Cooperative Institute for Research in the Atmosphere (CIRA)
NOAA/NWS Links
Alaska
NOAA – Alaska Aviation Weather Unit
Anchorage Center Weather Service Unit
NWS Alaska Region Environmental and Scientific Services Division (ESSD)
Other
NOAA – Volcanoes and Links to More information
NOAA – Volcano Data and Information (NGDC) – Natural Hazards
NOAA – Volcanic Ash Advisory Database (NGDC)
NOAA/NESDIS – Experimental GOES Volcanic Ash Products
NOAA – HYSPLIT Model Description
NOAA – Volcanic Ash Coordination Tool (VACT)
NOAA/NESDIS/SSD – Volcano Webcam Links
NOAA – READY: Volcanic Ash Transport And Dispersion (HYSPLIT Model)
NOAA/NWS Forecast Decision Training Branch (FDTB)
NOAA/NWS Warning Decision Training Branch (WDTB)
USGS Links
USGS – Volcano Hazards Program
USGS – REDUCING THE THREAT TO AVIATION FROM AIRBORNE VOLCANIC ASH
USGS – Volcanic Ash–Danger to Aircraft in the North Pacific
USGS – Volcano Hazards Program Fact Sheets
USGS – Volcano Hazard Assessments
USGS – Volcano Hazards Program Publications
USGS – NVEWS: National Volcano Early Warning System
USGS – Volcanic Gases and Their Effects
Volcanic Ash Advisory Centers (VAAC) of the World
Volcano Observatories
Yellowstone Volcano Observatory
World Organization of Volcano Observatories
The Rest of the Observatories of the World
All The rest
Oregon Risk Management – Ash Fall
National Weather Association – Gary Ellrod, Remote Sensing of Volcanic Ash
Airline Pilots Association (ALPA) Volcanic Ash and Aviation Safety
San Diego State University – How Volcanoes Work
Michigan Tech University – Volcanic Clouds
Michigan Tech University – Volcano Information Links
Idaho State University – Volcanoes
University of Wisconsin SSEC – Volcano Watch
Colorado State University – Volcanic Ash Detection
The Smithsonian’s Global Volcanism Program
National Volcanic Ash Operations Plan for Aviation
Center for Satellite Based Crisis Information
MetOffice (United Kingdom) – Volcanoes
Rhenish Institute for Environmental Research – Ash Dispersion
EUMETSAT – Near Real Time Ash Retrievals
University Wisconsin Space Science Engineering Center (SSEC)
UW Cooperative Institute for Meteorological Satellite Studies (CIMSS)
State of Alaska Div. Air Quality – Volcanic Ash Fall
Colorado State University – Cooperative Institute for Research in the Atmosphere (CIRA)
Colorado State University CIRA – VISIT Program
International Airways Volcano Watch Operations Group (IAVWOPSG)
Contributors:
B. Motta, A. Mostek, J. Weaver,
D. Bikos, K. Schrab, K. Waters
4) References/Additional Links
5) Train the trainer
Talking points – these may be used by local offices to explain important points in the session.
Page # | Title | Comments |
1 | Using GOES RSO in AWIPS | Welcome-Introduction-Credits |
2 | Why ? | Motivation for the training. AWIPS GOES imagery actually gets there in ~8 minutes in RSO….fastest ever. |
3 | Objectives | Ask each office if they’ve ever called a RSO session. Some offices thought RSO was only for severe convective weather. |
4 | Benefits | Prestorm & warning environments…. May 3rd (’99) – forecasters looking at each sat image for initiation…but forgot to call RSO. |
5 | Importance of RSO | “There are some significant meteorological events that occur on timescales less than 10 minutes.” |
6 | GOES-East Routine Mode | Covers larger satellite sector domains than RSO. |
7 | GOES-East Actual Routine Sectors | |
8 | GOES-East Rapid Scan Mode | Showtext link goes to NOAASIS page – GOES Dissemination Schedule. |
9 | GOES-West Routine Mode | Note the schedule offset from GOES-East. |
10 | GOES-West Actual Routine Sectors | |
11 | GOES-West Rapid Scan Mode | Link goes to NOAASIS page – GOES Dissemination Schedule. |
12 | GOES-East Volcano Sector | Monitor ash clouds as aviation hazards. |
13 | GOES-West Hawaii RSO Sector | Alaska RSO sector is also available. |
14 | RSO POCs | Plan to autotrigger under review at NCEP. One impact of calling RSO is the 00Z winds model assimilation. |
15 | GOES RSO Start Times | RSO request- time until activation and start times of each satellite. |
16 | RSO Delivery Times | How long does it take the RSO imagery to get to your AWIPS and get displayed? Mention GOES image time is when the first line begins scanning. |
17 | RSO and other WFOs | All offices ingesting data from a particular GOES get RSO when it is called for that satellite. More images means shorter loop sequences unless the number of frames are increased. Link goes to VISIT GOES FAQ page |
18 | AWIPS and RSO | This directory on AWIPS tells you which satellite is selected as your primary GOES ingest. Ask any offices that could use either if they know which one is selected. |
19 | AWIPS RSO Products | AWIPS Satellite products are available for CONUS and smaller domains in RSO. |
20 | AWIPS RSO Derived Products | Locally derived satellite products (eg. fog product) also available in RSO |
21 | Mesoscale changes with Synoptic Systems | RSO Applications |
22 | Departing Nor’easter IR-radar 25 Feb 99 | Place arrow initially on the southern coast of Massachusetts. Snow dissipation along the western edge evident on IR imagery before radar. What features can you see ? A) Satellite imagery shows warming cloud top temperatures before dissipation is evident in the radar reflectivity B) Deformation ZoneC) Dissipation of snow in western half of region. D) Satellite shows warming cloud tops as precipitation is ending. E) Satellite offers extension of data beyond radar range. F) Low-level convection- SE NY/ SW CT snow band. |
23 | Hurricane Bret | Hurricane Bret Loop showing mature storm with well-developed eye while still over water. RSO called by SR HQ showed initial stages of eye formation (from Ken Waters). |
24 | Mesoscale RSO Applications | Some phenomena that can be seen. Others ? |
25 | 4-panel Great Lakes 14 Nov 95 | Point out use of other channels, use more than just visible imagery (especially at night…switch to fog/stratus product). LES regional scale images are non-RSO. |
26 | RSO Great Lakes Visible 14 Nov 95 | Lake-effect case that shows better continuity of features. 1) E. Huron Snowbands 2) IN/OH Cu/snow 3) Cloud field develops downwind of snow field 4) Favorable shear profile over Lake Huron for multiple bands 5) Mesoscale lows over the lakes 6) Snowcover in WI 7) Clouds over snow Infer shear by snowband type: Single Band: < 30° of directional shear from the BL to 700mb Multiple Bands: 30-60° of directional shear from the BL to 700 mb Note – Greater than 60° of directional shear from the BL to 700 mb is detrimental for lake-effect snowband development Cloud field develops beyond snow cover. Meso-low features over Lakes Superior and Michigan; radars seldom detect these shallow features. |
27 | 15-minute Visible – 8 April 1998 | 15- minute loop. Ask for description of features. A) Boundary in N. AL B) Regional scale cloud cover(SE)/clear (NW) C) Organized convective lines D) Developing squall line NE MS E) Splitting storm NW GA F) Changes in Cu growth/coverage G) Boundaries and their motions |
28 | RSO Southeast Loop – 8 April 1998 | Point out northward moving boundary that played a key role in the Birmingham tornado. Boundary also seen on radar, BHM prepared for this. Noted that F5 started as boundary interacted with existing tornadic storm. |
29 | IR Southeast Loop – 8 Apr 98 | RSO IR imagery for 8 April 1998 tornado case. Show usefullness of IR imagery (Enhanced-V signature), keep the RSO going well into the night if conditions warrant. (Refer to Enhanced-V training) Ask if the Enhanced-V can be seen and what it’s implications are. |
30 | Fade of Visible and IR4 – 8 Apr 98 | Show usefulness in AWIPS of being able to combine satellite imagery (also useful for radar). Show fader – fade, animate, rock. Examine appearance of boundary and cloud features in VIS and 10.7 um IR. |
31 | Fade of Visible and IR2 – 8 Apr 98 | This is the VIS/3.9um fader. Notice the similarities and detail in the lower (warmer) clouds. 3.9um is not affected by the water vapor attenuation at 10.7 um. |
32 | Fade of the IR2 and IR4 8 Apr 98 | Use IR imagery at night to follow severe t-storms. Can see low cloud information with enhanced IR imagery or derived products. IR-Cloud tops IR2/Fog-stratus- shows low clouds verus surface better than IR (10.7um) |
33 | 17 May 1996 1km Visible Imagery | Nebraska – dryline boundary with wave near location of storm initiation. 1) Draw CF from NE NE-Central NE 2) Possibility of a wave near Hastings |
34 | 17 May 1996 Initiation on Satellite and Radar Boundaries | 17 May 1996 case, Grand Island, Nebraska radar with remapped 1km visible imagery (AWIPS-like). Visible imagery shows the first boundary to the east is not as important as it may appear on radar alone, deeper clouds on the western line. Note “extension of radar-range information” in east boundary with more clouds to the south. A) These are 2 boundaries- not one (versus previous loop) B) There is not a wave on the CF (initially) C) Eastern-most boundary looks most intense on radar- but satellite shows no clouds D) Radar/satellite shows splitting storm E) Use radar and satellite to compensate for the “cone of silence” |
35 | Stormscale Applications | |
36 | 17 May 1996 – Storm Splitting | 17 May 1996 case. Are 2 different overshooting tops observable ? Storm splitting is evident on visible imagery before radar reflectivity. 18 minutes before upper-level scan and 10 minutes before mid-level scan. These details evolve in short time frames. |
37 | 31 May 1996 RSO and SRSO | 1) CO storm forms on Palmer Lake Divide and moves SE toward a convergence line. (Refer to LTO session for outflow boundary evolution) 2) Point out how quickly outflow/RFD develops from the supercell in eastern CO. 3) Orphan anvil travelling north dissipates. (Apparently due to storm-scale subsidence) 4) Point out other storm’s outflow interaction N ans E of CO storm. Low cloud feature SE of CO storm at 224514 is associated with a 70kt storm outflow according to storm data. 5) Convergence of low cloud and flanking line results in F2 tornado within 5 minutes after the interaction (storm chase video). 6) Also note structure of overshooting tops – qualitative assessment of divergence and back building anvils. 7) Explain SRSO- can show important storm-scale features. |
38 | Miscellaneous uses of RSO | |
39 | GOES Assessment Convective Initiation Feedback | 29 March 1998 case. Development of a storm in Iowa along some boundary that moved into La Crosse CWA. Feeder bands in northeast Iowa with that storm. More stable stratiform region further north in Wisconsin. Watch for storms in the moist sector where more Cu is present. |
40 | ARX RSO Visible Loop | 1) Draw WF, CF, Low, and DL 2) Eastern IA MCS forms- moves NE. SW view of storm shows “feeder bands” -a possible severe weather indicator. MCS moved across WF and storms dissipate. Imagery shows warm front position and weakening of feeder bands. 3) Warm-sector does not have homogeneous cloud cover 4) Storms initiate over Council Bluffs, IA- then move into deeper moisture and develop further. 5) Triple-point storm initiation |
41 | G/A RSO Use After Initiation | |
42 | Case study- RSO in Warning Decision Making | Link goes to the Cheyenne case, RSO used in warning decision making. |
43 | Other examples of using GOES RSO by WFOs | Link goes to Western Region RSO GOES Assessment – shows many examples. |
44 | 2 September 98 Los Angeles radar | Note thunderstorms along the higher terrain east of LA. A boundary extends from the storms on the high terrain towards Los Angeles. Later in the loop the storms develop near LA, the storms made the radars go down just after 22:30 UTC |
45 | 2 September 98 IR | Thunderstorms developed on the high terrain initially, then dissipated as new storms developed in the Los Angeles area. |
46 | 2 September 98 IR and Visible imagery | After the initial activity southeast of LA weakens, new storms develop northwest of the city and form an outflow on their southeast flank (see arc cloud line in vis imagery). The storms are most intense near the intersecting boundaries on the north end of the arc cloud line. The WSR-88D’s went down during this time due to severe weather. An RSO was called DURING the event (and started after 00Z). Calling an RSO before the event would’ve showed the new thunderstorm development over Los Angeles associated with intersecting boundaries with better continuity while the radars were down. |
47 | 2 September 98 Los Angeles radar | Radar imagery after it came back online (the severe weather caused an outage). By the time the radar is back up the storms are weakening as they move towards the ocean. |
48 | GOES Assessment Feedback | |
49 | RSO Conclusions I | |
50 | RSO Conclusions II | Link goes to RSO student guide on VISIT homepage |
51 | On-station Training Exercise | |
52 | About SRSO and AWIPS | |
53 | Shows why not to view RSO imagery on the CONUS scale |
GOES and Polar Satellite Introduction
Meteosat Second Generation material from EUMETSAT
Multispectral and hyperspectral imagery
Multispectral remote sensing and applications
Sounding the atmosphere from satellites
Tool | Brief Description |
VisitVIEW | VisitView Builder- Used to prepare and deliver material for internet training is a software application that allows the user to assemble and present online collaborative training sessions using the internet. Visit stands for Virtual Institute for Satellite Remote Training.. Read a conference paper describing VisitviewVisitVIEW buidler tutorial |
McIDAS | McIDAS – Used to display and manipulate digital satellite datais a software package from the Space Science and Engineering Centre at the Univeristy of Wisconsin for displaying and manipulating meteorological data, particularly satellite data. Click here to read about the McIDAS history. Visit the McIDAS home page requires internet connection.Using McIDAS – If you access data remotely, create a folder within C:DATA\GOES and load your data into the new folder. When accessing and loading data use the general command sequence given in the paper “specialdataexercise.doc” which was used to analyze the 10FEB2005 case (REDIRECT ADD AREA* “//dev/fs/C/DATA/GOES/folder name). Note that commands into McIDAS are case sensitive! |
EnviFreelook | Envi FreeLook – Used to create 3 channel color combinationsENVI FreeLook is designed to provide basic viewing, data selection, and data quality assessment capabilities for a wide variety of image data. While it offers considerable functionality, it is not an image processing system. For a complete software package with full image processing capabilities, please consider evaluating ENVI, the Environment for Visualizing Images. ENVI technical information is available on the ENVI Homepage at http://www.ResearchSystems.com or at http://www.envi-sw.com, or by contacting Research Systems Inc. at 303-786-9900 or envi@ResearchSystems.com. |
SATAID | SATAID – Used to access and display digital satellite datasoftware has been developed by the Japan Meteorological Agency to diaplay and manipulate LRIT data. In addition to its use for operational purposes it can also be used as a standalone training tool for producing and running case studies. Click here to read a conference paper by one of the software writers. Click here to read the tutorial and exercises on using SATAID.The SATAID software suite also has an additional application to allow users to download realtime data. This application is known as LRIT. At the present time only data from the Western Pacific is available. In the future it should be possible to download data for all areas of the globe.Click here to start SATAID via internet to access realtime data for the Western Pacific Region |
Hydra | Hydra – Used to investigate multispectral datais another application from the Space Science and Engineering Centre. This application is used to display and interact with multispectral data, in particular allow channel arithmetic, cross sections across images and scatter plots. Click here for a conference paper on this application. Click here for a tutorial on the use of Hydra. |
AHABS | AHABS – Used to perform principal component analysis on digital satellite imageryis an IDL application to analyse multispectral imagery, in particular to investigate the principle component eigenvectors of the image. To run AHABS you need to have the IDL runtime installed. |
APPLICATIONS WITH METEOROLOGICAL SATELLITES | WMO Technical Document 1078 “Applications with Meteorological Satellites” by Dr. W. Paul Menzel (2001). Written as a college level text book covering the application of satellite data and remote sensing.This publication covers the basic radiation theory of remote sensing and then outlines application areas such as the derivation of atmospheric motion vectors and soundings.An updated version (March 2005) is also enclosed. | Contents History of satellites Nature of Radiation Absorption and Emission Radiation Budget Radiative Transfer Equation Clouds Surface temperature Atmospheric Parameters Atmospheric Winds Geostationary Sounding Satellite Orbits Radiometer design Eigenvalue problem ReferencesProblem sheets Sample Exam Updated Version (March 2005) |
Analysis and Use of Satellite Imagery | JMA publication of 6 chapters outlining the use of satellite imagery (English)The publication, “Analysis and Use of Meteorological Satellite Images” has just been issued by the staff members of Analysis Division of MSC through the preparation for several years. This publication is based on the effort of the previous publications but refreshed to provide new imagery and the latest knowledge and to be used as a reference book for satellite image analysis. This publication was initially intended for the use in the Analysis Division, to improve satellite image analysis techniques, but the authors would be pleased if it can contribute to the use of satellite images in the weather forecasting operations at the meteorological and hydrological services. | Introduction Outline of meteorological satellites Cloud type identification by satellitesCloud patternsWater Vapour patternsPhenomena of synoptic scale Watching and analysis of various phenomenaOther phenomenaReferences |
THE ROLE OF SATELLITES IN WMO PROGRAMMES IN THE 2010s | This document, a WMO publication on “The Role of Satellites in WMO programmes in the 2010s” is intended to update the last comparable publication entitled: “The Role of Satellites in WMO programmes in the 1980s” by D.S. Johnson and I.P. Vetlov published in 1977. This update was prepared by three primary authors: Dr G. Asrar, Dr T. Mohr and Mr G. Withee, with assistance from additional experts as identified and recruited by the primary authors. WMO Members involved in the Consultative Meetings on High-Level Policy on Satellite Matters felt strongly that the new publication would be of great importance to WMO Members, not only to the NMHSs but also the larger communities among the Members. For example, such users would include policy decision-makers or those involved with the IPCC assessment process. It is envisioned that there will be widespread use of the new publication by many user communities as nations progress into the new century and prepare for a new set of societal and environmental challenges across the globe. | Complete document |
Reports by the international satellite agencies | The meteorological community and associated environmental disciplines such as climatology including global change, hydrology and oceanography all over the world are now able to take advantage of a wealth of observational data, product and services flowing from specially equipped and highly sophisticated environmental observation satellites. An environmental observation satellite is an artificial Earth satellite providing data on the Earth system and a meteorological satellite is a type of environmental satellite providing meteorological observations. This publication outlines the Space based component of the Global Observing System and the activities of the main operational space agencies | Summary Europe India JapanRussian Federation USA ChinaAcroymns |
Satellite/Instrument | Description and link |
MODIS Data from Terra and AquaSome of these data are great for teaching, and even near real-time uses. If you see something you really like you can order the data. The electronic notebooks can be used to analyze the digital data using the Hydra tool. | There is a web-sight from which you can get both near real time and retrospective MODIS. The data can be accessed at various resolutions from 250 meters to 4 km. When you get to the site you choose the day from a calendar, and then go to the overpass map to see orbits in which you would be interested. Then when you select the day, thumbnail pictures of what are termed granules appear for the entire day. When you select a particular thumbnail there is a globe the left that will show the area you’ve chosen. Go tohttp://rapidfire.sci.gsfc.nasa.gov/realtime/ |
GOES Case study dataFrom the CIRA-RAMM VL site. The CIRA-RAMM Team Virtual Laboratory is intended to provide access to interesting sets of digital GOES satellite images to educational institutions, professional forecasters and research scientists. These files are in McIDAS data format only, making them accessible for those with RAMSDIS (-X), GARP and UNIDATA-McIDAS workstations. Self-extracting compressed files (with a .EXE extension) are also available, each containing several of the McIDAS-formatted data files. | Select the link to a particular case study. Within the text you will see instructions on how to get the data via ftp. Both GOES-9 and GOES-8 digital, McIDAS formatted data, that cover the area and time of interest, can be found on the CIRA-RAMM Team’s FTP server. Log on to “canopus.cira.colostate.edu” (or “129.82.108.154”), using “anonymous” and then your e-mail address for the password. Then follow instructions for the specific case selected. |
Software | Link |
Soundings from ATOVS | http://cimss.ssec.wisc.edu/opsats/polar/iapp/IAPP.html |
Precipitation | http://www.isac.cnr.it/%7Eipwg/algorithms.html |
The Virtual Laboratory for Satellite Training and Data Utilization (VL) has been established to maximize the exploitation of satellite data across the globe. It is a collaborative effort joining the major operational satellite operators across the globe with WMO “centers of excellence” in satellite meteorology. Those “centers of excellence” serve as the satellite-focused training resource for WMO Members.
To access VL resources or different components of the VL click on the appropriate item below.
Virtual Lab Resources available from this site (CIRA) | ||
PowerPoint Lectures | Web Based Products | Stand Alone Tutorials |
Training Tools | Software | Digital Satellite Imagery |
Live Training Events | General Texts |
Centers of Excellence resource sites and sponsors’ resource libraries |
Centers of Excellence at five WMO Regional Meteorological Training Centers at San Jose, Costa Rica, Bridgetown, Barbados, Niamey, Niger, Nairobi, Kenya, and Nanjing, China and Australian Bureau of Meteorology Training Center (ABOMTC) |
Resource libraries at CIRA, EUMETSAT, JMA, NSMC and WMO |
Supporting Science Groups |
International TOVS Working Group (ITWG) |
International Winds Working Group (IWWG) |
International Precipitation Working Group (IPWG) |
by John DiStefano
Brief instructions to set up for playback of “Recorded VisitView sessions”…
1. Find a location on the PC of your choice at your office where you will place the unzipped recorded sessions.
2. Have your ESA set in place a mapped drive to this location that will show up as each staff member performs a PC login. The ESA will need to set this up via a ‘login script’ on one of your office’s local servers. An example of how this will look once activated is noted below (blue arrow pointing to our newly mapped “T-drive”).
3. The majority of your staff should be set up to have “read” access only to these files (Windows XP operating system). Limit the number of staff (SOO, Training FP, …) who will have “full” access to this drive for the purpose of setting up the recorded sessions.4. Place your recorded sessions in separate directories (such as in the example image under #2 above (orange arrow)).
5. Alter the ‘visitauto.bat’ file as follows…
6. Create a web page on your Intranet whereby your staff can have access to “recorded” training. Links to the altered ‘visitauto.bat’ files will allow your staff to view these recorded sessions from any PC in the office. Below is an example of part of our web page whereby access to recorded training can be obtained. The ‘Start Training’ buttons are where the links to the recorded training is defined.
Under this configuration, each workstation will be running “locally”, even though they are actually sharing the files. This means that the local VISITview server is running on each user’s own machine.