HR: 16:35h
AN: OS34A-02 [WITHDRAWN] [Abstracts]
TI: Multi-Sensor Satellite Data Records for Climate Applications: Issues and Lessons Learned During Reanalysis of Historical AVHRR Data
AU: * Trishchenko, A P
EM: trichtch@ccrs.nrcan.gc.ca
AF: Canada Centre for Remote Sensing, Natural Resources Canada, 588 Booth Str, Ottawa,
Ont K1A 0Y7, Canada
AB:
The satellite observations are unique source of information about the ocean, surface and atmosphere. To be
useful for climate studies, these data must be processed in the most accurate way to ensure consistency of long-
time series. Although there are number of various satellite missions designed for climate applications, the optical
data from medium resolution satellite sensors, such as Advanced Very High Resolution Radiometer (AVHRR) on
NOAA platforms, play a central role. They deliver time series of the longest duration and global spatial coverage.
The paper describes the efforts carried out at the Canada Centre for Remote Sensing (CCRS) on developing
satellite data records suitable for climate applications. The archive of 25 years (since 1981) of observation from
AVHRR/NOAA at 1-km spatial resolution, followed by MODerate Resolution Imaging Spectroradiometer (MODIS)
on Terra platform at 250-m spatial resolution has been generated at CCRS over the large area of North America.
Some critical issues were identified during re-analysis of AVHRR data. The consistency of radiometric calibration
provided from various sources for all AVHRR sensors since AVHRR/NOAA-6 is analyzed. A calibration approach
using the tropical deep convective clouds as the calibration target is described and evaluated. The uncertainties
related to the choice of solar reference spectrum and sensor's spectral response functions are quantified.
Details of newly designed cloud detection scheme are presented. It is emphasized that detection of cloud
shadows should be an integral component of the scene identification process to identify truly clear-sky pixels.
Some examples of long term trends in Western Arctic sea-ice extent, albedo and radiation will be discussed that
demonstrate rate of climate change in high Arctic region.
This work has been supported by the Canadian Space Agency under the Government Related Initiatives Program
(GRIP) and the Earth Sciences Sector of the Department of Natural Resources Canada under the Program on
"Enhancing Resilience in a Changing Climate".
DE: 0480 Remote sensing
DE: 0758 Remote sensing
DE: 4215 Climate and interannual variability (1616, 1635, 3305, 3309, 4513)
DE: 4275 Remote sensing and electromagnetic processes (0689, 2487, 3285, 4455, 6934)
SC: Ocean Sciences [OS]
MN: 2007 Joint Assembly