To kick off my series of Blog posts on Australia’s Space
Needs, I have chosen to write a little about Australia’s Metorology Data and
Weather Forecasting Space Needs.
Cyclone Yasi bears down on Australia
(Image Credit: Australian Bureau of Meteorology)
It seems like such an obvious application where Australia
relies an incredible amount on near real-time data from Space, however my guess
is that most of us really don’t know what we use, where we get it from, or just
how important it is.
Well, Australia, through the wonderful folks at the
Australian Bureau of Meteorology uses a whole suite of different space derived
data, from an equally impressive set of satellites.
I couldn’t really go past this wonderful summary table from
the BoM’s website that can be found
here to illustrate my point.
Product Name
&
Product Description
|
Data
Source
|
Sea
Surface Temperatures (SST)
|
NOAA: AVHRR
Channels 3,4,5
|
Normalised
Difference Vegetation Index(NDVI)
|
NOAA: AVHRR
Channels 1, 2
|
|
GMS (up to 21/5/03), GOES-9 (from May 03 to July
05), MTSAT-1R (from August 05)
|
TIROS Operational
Vertical Sounder (TOVS)
|
NOAA: TIROS Information Processor TIP
|
Atmospheric
Motion Vectors (AMV)
|
GMS (up to 21/5/03) GOES-9 (from May 03 to July
05), MTSAT-1R (from August 05)
|
|
GMS(up to 21/5/03), GOES-9 (from May 03 to July
05), MTSAT-1R (from August 05) or NOAA
|
|
NOAA: AVHRR
|
Visible Imagery
|
GMS-1 to GMS-5, GOES-9, MTSAT-1R, NOAA 5 to
NOAA-17
|
Infrared Imagery
|
GMS-1 to GMS-5, GOES-9, MTSAT-1R, NOAA 5 to
NOAA-17
|
Infrared Coloured Imagery
|
GOES-9, MTSAT-1R
|
Colour Enhanced Satellite
Imagery
|
GOES-9, MTSAT-1R
|
Special Colour Images for
Publications
|
GMS-5 (up to 21/05/03), NOAA, GOES-9 (from
22/5/03 to July 2005), MTSAT-1R from August 2005
|
The Bureau of Meteorology then goes on to use this data in
an almost endless number of applications that we all rely on each day to get on
with life, including (but not limited to):
·
Land Temperature
·
Sea Temperature
·
Wind Measurement and Forecast
·
Sea Ice Measurement
·
Solar Radiation
·
Ozone Monitoring
·
Precipitation Measurement
·
Soil Moisture
·
Severe Weather tracking and forecast
·
Vegetation Monitoring
·
Bushfire Prediction
· Volcanic Ash Monitoring
·
Flood Monitoring and Prediction
·
Overall Climate Monitoring and Climate Change
That’s a long list of applications, and many that Australia
relies on day in, day out, expecting the BoM to be keeping its eye on things
and providing the general public with the necessary information.
Looking a little further into the sources of the data, you
can see the following satellites from the above table:
·
NOAA Satellites (NOAA-5 through to NOAA-17) (USA)
·
GOES-9 (USA)
·
MTSAT-1R (Japan)
·
FY-C2 (China)
·
Previous GMS Satellites (GMS-1 to GMS-5) (Japan)
And oddly enough, despite the long list of applications, and the impressive line up of satellites, Australia has never (please correct me if I’m wrong),
contributed a single dollar to any meteorology satellite! We are heavily indebted to the United States of America, Japan
and China amongst others, to keep the steady stream of data coming our way.
I can’t suggest that meteorology data from Space is
everything we need for weather forecasting – it is one component of many that makes our meteorology and weather
forecasting possible. But just how important is it in the scheme of things?
In the ongoing
debates in the United States about the funding for future NOAA polar
satellites, they did a comparison of weather forecasting with and without
Satellite data, for the weather event known in the US as “Snowmaggedon” in
early 2010. (You can see the presentation in Powerpoint
here.
The results of this showed that without the satellite data, the forecast would
have been wrong by 50%! That’s a fair problem during a serious event like “Snowmaggedon”.
It went on to highlight the impacts of this reduced forecast including:
Future errors of this scale
could result in flood forecast error providing less time for population to
react and increasing risk to life and property (hours vs days)
Aircraft and airline
passengers would have been stranded, ground commerce would have been halted
with no mitigation plans, population would have been unprepared for paralyzing
snow-depth
So we can see that Satellite derived Meterology Data is an
absolute critical component in forecasting, and one that served us well for the
recent weather related disasters that Australia has gone through – including the
Queensland floods, Cyclone Yasi and the Victorian Bushfires.
So tomorrow, when you see that weather forecast on
television, read it in the paper, or hear about an impending natural disaster,
give a thought to how important Space-based meteorology is to Australia, and
how without it, Australia would be far worse off.