Improvements of the Geostationary Operational Environmental Satellites (GOES)-R series for Climate Applications

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Improvements of the Geostationary Operational
Environmental Satellites (GOES)-R series for
Climate Applications
Timothy J. Schmit NOAA/NESDIS, Office of Research
and Applications, Advanced Satellite Products
Team (ASPT)   W. P. Menzel NOAA/NESDIS, Office of
Research and Applications   James J.
Gurka NOAA/NESDIS, Office of Systems Development
  Elaine M. Prins NOAA/NESDIS, Office of
Research and Applications, Advanced Satellite
Products Team (ASPT)   Mathew M.
Gunshor Cooperative Institute for Meteorological
Satellite Studies (CIMSS) University of
Wisconsin-Madison   Jun Li Cooperative Institute
for Meteorological Satellite Studies
(CIMSS) University of Wisconsin-Madison
29th Annual NOAA Climate Diagnostics and
Prediction Workshop
In order to meet user requirements, several
instruments have been designated for the GOES-R
notional baseline. GOES-R is slated to launch in
2012. Payload key ABI Advanced Baseline
Imager HES Hyperspectral Environmental Suite
(Infrared (IR) and Coastal Waters (CW)) GLM
Geo Lightning Mapper SIS Solar Imaging Suite
SEISS Space Environment In-Situ Suite
MAG Magnetometer AUX Auxiliary Services
LRIT--Low Rate Information transmission
EMWIN--Emergency Managers Wx Information Network
DCS--Data Collection System SAR--
Search and Rescue
NOAAs Climate goal Understand climate
variability and change to enhance societys
ability to plan and respond

• GOES-R will allow
• Satellite-to-satellite cross-calibration of the
  full operational satellite system
• Hourly high spectral resolution infrared
  radiances facilitate radiance calibration,
  calibration-monitoring
• Provide measurements that resolve
  climate-relevant (diurnal, seasonal, and
  long-term inter- annual) changes in
  atmosphere, ocean, land and cryosphere.
• Solar irradiance inputs measured by SIS
• Diurnal signature for fires in the Western
  hemisphere
• Diurnal signature of clouds (and some cloud-top
  properties) in the Western hemisphere
• Diurnal signature for Land/Sea temperatures in
  clear skies
• Diurnal signature of lightning (both
  cloud-to-ground and intra-cloud discharges) over
  both land and ocean in the western hemisphere
• Improved measurements of Outgoing Longwave
  Radiation (OLR), O3 and SO2
• Continuing the geostationary radiance database

Climate Observations and Analysis Climate and
Ecosystems Climate ForcingClimate Predictions
and ProjectionsClimate Information for Decisions
GOES-R will improve over the existing GOES Imager
and Sounder with more spectral bands, better
calibration, faster imaging (with more
geographical areas scanned), and higher spatial
resolution. In the case of the Imager this
means increasing from 5 to 16 spectral bands,
on-orbit visible and near-IR calibration, full
disk images every 15 minutes, and nominally
improving resolution from 4 to 2 km for the
infrared bands and 1 to 0.5 km for the 0.64 ?m
visible band. For example, ABI will provide
cloud-top phase/particle size information, and an
improved aerosol and smoke detection for air
quality monitoring and forecasts. For the
Sounder the increase in spectral coverage is
phenomenal, going from 19 broad spectral bands to
hyperspectral coverage with hundreds of narrow
bands. The spatial coverage will also improve (by
a factor of 5) over todays sounder. These
improvements will lead to more accurate soundings
that will occur more often than current soundings
over a larger portion of the hemisphere. The HES
Sounder will operate in two modes representing an
overall increase in spatial resolution compared
to the current Sounder. In addition, the
high-spectral resolution measurements can also be
used for satellite comparisons or calculating OLR
(Outing Longwave Radiation). For some products
the ABI and HES Sounder will act in concert,
improving products. Overall GOES-R will offer
a much more consistent and comprehensive view of
our environment.
WV
GOES-N/P
GOES-R
Natural color Hurricane Isabel on September 18,
2003 from MODIS bands on the ABI
GOES-R data and products will support
applications for Climate Monitoring