This document discusses the need for a multi-decadal, high resolution (1 km) coastal sea surface temperature (SST) product for the Australasia region produced using Advanced Very High Resolution Radiometer (AVHRR) data. The Bureau of Meteorology has produced such a product from 1992 to present using direct broadcast AVHRR data from Australia and Antarctica. The product includes different levels of processing and temporal/spatial resolutions to suit various applications like coral bleaching monitoring and ocean model validation. New versions use adaptive calibration and error statistics techniques to improve SST accuracy compared to other products.
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C5.08A: A multi-decadal, coastal sea surface temperature product for Australasia – why we need it - Helen Beggs
1. A multi-decadal, coastal sea surface temperature
product for Australasia – why we need it
Helen Beggs1*
, Christopher Griffin1
, Leon Majewski1
, Edward King2#
,
Janice Sisson1
and Zhihong Li1
1
Bureau of Meteorology, Melbourne, Australia
2
CSIRO Oceans and Atmosphere Flagship, Hobart, Australia
*Leader, IMOS Satellite SST Products Sub-facility
#
Leader, IMOS Satellite Remote Sensing Facility
2. Why do we need 1 km resolution
AVHRR SST Products?
Passive infra-red sensors on polar-
orbiting satellites provide the
highest resolution SST
observations from space (~1 km)
but cannot sense SST under
cloud.
Pre-2002 (MODIS) the only wide
swath, 1 km resolution, satellite
SSTs available were direct-
broadcast AVHRR SST from
NOAA polar-orbiters.
3. Australia has direct broadcast AVHRR data
back to 1992 from reception stations in
Australia and Antarctica.
Using this data set, Bureau of Meteorology
has produced 23 years of Group for High
Resolution SST (GHRSST) format products
with error estimates and quality flags per
pixel.
IMOS 1 km AVHRR SST
1 month day+night L3S
February 2008
5. Why day-only, night-only and
day+night L3S products?
2 km IMOS night L3S2 km IMOS day+night L3S 2 km IMOS day L3S
1 Jan 2014
6. L4 interpolated SST vs L3S composite SST
1 km G1SST L4
2 km IMOS night L3S
1 km MUR L4
2 km IMOS day+night L3S 2 km IMOS day L3S
7. Different IMOS-GHRSST Products
suit different applications
L3C (2 km gridded,
multiple swath)
Research into diurnal warming
• Great Barrier Reef (Xiaofang Zhu,
PhD Uni of Miami)
• Tropical Warm Pool (Haifeng
Zhang, PhD UNSW@ADFA)
Mean Mar 2010 NOAA-19 ΔSST
8. Different IMOS-GHRSST Products
suit different applications
L3U (2 km gridded, single
swath)
Real-time SST maps
• www.fishtrack.com
• IMOS OceanCurrent
(http://oceancurrent.imos.org.au/sst.
php)
OceanCurrent SST Map 6 May 2015
9. Different IMOS-GHRSST Products
suit different applications
L3S (gridded, multiple sensor)
• Nowcasting of coral bleaching
• ReefTemp NextGen uses night-
only 1-day
L3Shttp://www.bom.gov.au/mari
newaterquality
• Near RT maps of SST
• IMOS OceanCurrent uses day-only,
night-only 3-day L3S
• Validation of high res ocean models
ReefTemp 1-day SST Anomaly
1 Jan 2014
14. How does IMOS fv02 AVHRR L3C
differ from Pathfinder AVHRR L3C
SST?
• Wider swath width
• Higher spatial resolution - 1.1 km x 1.1 km cf
4.4 km x 1.1 km resolution at nadir
• More ancillary fields - IMOS product has error
estimates per pixel to comply with GHRSST
spec
• More satellites - IMOS uses all available
NOAA satellites, Pathfinder only one at a time
• IMOS back to 1992, Pathfinder back to 1981
• IMOS real-time, Pathfinder > 1 year behind
• IMOS uses "adaptive calibration" and "adaptive
error statistics" to "tune" AVHRR SSTs using
regional in situ data to minimise error
IMOS L3U
Pathfinder L3C
16. Different IMOS-GHRSST Products
suit different applications
L3C (gridded, multiple swath)
Research into diurnal warming
• Great Barrier Reef (Xiaofang Zhu, PhD
Uni of Miami)
• Tropical Warm Pool (Haifeng Zhang,
PhD UNSW@ADFA)
Mean Mar 2010 NOAA-19 ΔSST
Mean Mar 2010 ACCESS-R 10 m WindsMean Mar 2010 ACCESS-R SSI
19. Temporal Averaging vs Spatial Interpolation
Eg. North Queensland, 1 Jan 2014 mean SSTfnd products
1-day 2 km L3S 3-day 2 km L3S
1-month 2 km L3S
6-day 2 km L3S
Daily 1 km G1SST L414-day 2 km L3S
20. Temporal Averaging vs Spatial Interpolation
Eg. North Queensland, 1 Jan 2014 night-only L3S products
1-day 2 km L3S 3-day 2 km L3S
1-month 2 km L3S
6-day 2 km L3S
Daily 1 km G1SST L414-day 2 km L3S
21. Temporal Averaging vs Spatial Interpolation
Eg. North Queensland, 1 Jan 2014 day-only L3S products
1-day 2 km L3S 3-day 2 km L3S
1-month 2 km L3S
6-day 2 km L3S
Daily 1 km G1SST L414-day 2 km L3S
22. Multi-satellite day+night SSTfnd for 2 Jun 2014
3-day 2 km L3S 6-day 2 km L3S
Daily 1 km MUR L4
1-day 2 km L3S
1-month 2 km L3S14-day 2 km L3S
23. New to fv02 IMOS AVHRR SST:
“Adaptive Calibration”!
• Running 1 year calibration window, adjusted monthly
• Tuned on best matchups with in situ SST
• Performance measured on an expanded matchup data set
NOAA-19 Performance
-0.35
-0.3
-0.25
-0.2
-0.15
-0.1
-0.05
0
31/12/2004 31/12/2005 31/12/2006 31/12/2007 31/12/2008
Date
Bias(Median)
Two Channel
Pathfinder
Adaptive NLSST
"3" Channel
NOAA-19 Performance
0
0.1
0.2
0.3
0.4
0.5
0.6
31/12/2004 31/12/2005 31/12/2006 31/12/2007 31/12/2008
Date
Bias(RSD)
Two Channel
Pathfinder
Adaptive NLSST
"3" Channel
Median RSD
Pathfinder
IMOS
0.0
-0.1
-0.2
-0.3
2005 2006 2007 2008 2009 2005 2006 2007 2008 2009
0.6
0.4
0.2
0.0
24. Adaptive Sensor Specific Error
Statistics (SSES)
• Per platform basis
• Rolling 1 year window adjusted
frequently (every 1 to 6 days)
• Measurements are weighted by
time
(120 day time constant)
• Attributes considered (6-
dimensions)
− time of day,
− satellite zenith angle,
− quality level,
− latitude, longitude, age
SSES_bias
25. SSES Bias estimate performance
• Applying the bias
correction improves the
bias compared with in
situ SST at all quality
levels
• Dashed lines show
before bias correction
QL = 5
QL = 4
QL = 3
QL = 2
NOAA-12
26. SSES Standard Deviation
• Standard deviation of
AVHRR SSTs cf in situ
SSTs at different
quality levels are given
in all IMOS SST files
• Variation over time
(median standard
deviation over the in
situ matchups) is
shown at the right for
NOAA-12
QL = 5
QL = 4
QL = 3
QL = 2
Hinweis der Redaktion
Near-coastal applications such as high-res ocean models, fishing and coral bleaching nowcasting need accurate high res SST products with known uncertainties
These products are available either as geolocated swath products (L2P) or 2 km gridded composite (level 3) SST products either as single swath (L3U), single satellite (L3C) or multiple satellite L3S products over a number of days to fill in the gaps due to cloud. The L3C and L3S products are available as day-only, night-only or day+night files up to real-time.
Range of useful file types (swath/gridded, day/night/day+night, 1/3/6/14/30 day) for different applications
Level 1a = unpacked data (engineering units)
Level 1b = calibrated, geolocated data
Level 2 = product in native, swath, format
Level 3 = regridded data,
L3U = 1 single swath remapped to a standard grid
L3C = the combination of data from multiple swaths, from one sensor (over a defined time period)
L3S = the combination of data from multiple swaths, from multiple sensors (over a defined time period, currently 1-day, 3-day, 6-day, 14-day and 1-month)
During the day-time in regions of the ocean with clear skies, high solar radiation and low winds a warm layer can form in the top few meters of the ocean. The top few microns (thermal skin) in the tropics can experience diurnal warming of several degrees, as was the case on 1st January 2014 off Cairns.
There are several statistically interpolated level 4 (L4) SST products available, including NASA’s 1 km daily global G1SST and MUR analyses that interpolate 1 km satellite SST data. G1SST ingests IMOS AVHRR SST and MODIS data whereas MUR ingests MODIS but no 1km AVHRR SSTs. However, global L4 products do not currently resolve either the diurnal cycle or the fine spatial ocean features close to reefs and coasts. Day-only or night-only IMOS SST products can be used to measure diurnal warming in coastal regions and SST changes over 2 km spatial scales as close as 2 km to coasts.
Note that all daily L4 products interpolate between day and night SST data, and use the previous day's analysis combined with climatology to fill in where no data exists for that date.
MUR and G1SST L4 are produced by NASA JPL.
IMOS AVHRR 1-day L3S is produced by the Australian Bureau of Meteorology.
IMOS day-only and night-only L3C products are being used in two PhD projects to study diurnal warming over the Great Barrier Reef and the Tropical Warm Pool.
IMOS-GHRSST products are also used in a range of real-time coastal applications, such as FishTrack, IMOS OceanCurrent …
… and the Bureau of Meteorology’s coral bleaching nowcasting system, ReefTemp NextGen. They are also being used to validate high resolution ocean models, such as 4 km eReefs and 10 km OceanMAPS.
Validation plots for the IMOS AVHRR products are now available on line for each NOAA satellite, with verification against drifting buoys, IMOS ships, Argo floats and moored buoys.
IMOS HRPT AVHRR SST swaths are wider than those for Pathfinder. Pathfinder has 4.4 km x 1.1 km pixels whereas IMOS has 1.1 km x 1.1 km pixels.
Shows:
night-time composite skin SST for multiple satellites.
Quality level based on proximity to cloud only.
Bias with respect to drifting buoy SSTs and corected to skin. Varies smoothly over space with latitude and longitude.
Sst_count shows the number of observations that contributed to the composite.
L2P flags field contains information on land, deviation from analysis, etc
Analysis gives the most recent GAMSSA multi-sensor SST analysis.
Standard deviation based on matchups with drifting buoys calculated daily but using a model that uses the past year of matchups weighted to most recent observations.
sses_count field gives the degrees of freedom used in calculating the bias and standard deviation estimates.
Note that all daily L4 products interpolate between day and night SST data, and use the previous day's analysis combined with climatology to fill in where no data exists for that date.
G1SST L4 contain "foundation" SST, mostly night-time data.
G1SST L4 is produced by the NASA OurOcean Project.
IMOS AVHRR L3S is produced by the Australian Bureau of Meteorology.
Note that all daily L4 products interpolate between day and night SST data, and use the previous day's analysis combined with climatology to fill in where no data exists for that date.
G1SST L4 contain "foundation" SST, mostly night-time data.
G1SST L4 is produced by the NASA OurOcean Project.
IMOS AVHRR L3S is produced by the Australian Bureau of Meteorology.
Note that all daily L4 products interpolate between day and night SST data, and use the previous day's analysis combined with climatology to fill in where no data exists for that date.
G1SST L4 contain "foundation" SST, mostly night-time data.
G1SST L4 is produced by the NASA OurOcean Project.
IMOS AVHRR L3S is produced by the Australian Bureau of Meteorology.
Mauve curve represents the pathfinder algorithm (2 channel linear daytime, 3 channel at night, non latitude banded), with an analysis SST term added to the fit.
Tuned on best matchups with in situ SST (highest quality level, mid range winds, low deviation from “fitted norm”),
Performance measured on an expanded dataset (lower quality allowed, relaxed bounds on other parameters).
Quality level is determined from proximity to cloud using the CLAVR cloud determination system, time of day includes sun zenith angle such that prior to midday and post midday the angles have opposite sign. This provides a specific offset between ascending and descending orbits of the same platform, and is thus not intended to be used for continuous times throughout the day.