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Global 1-km Sea Surface Temperature (G1SST) for Real-Time Research and Applications. Yi Chao Jet Propulsion Laboratory, California Institute of Technology Pasadena, California, USA. 4-Year (FY10-FY13) Project funded by NASA Physical Oceanography Program. Global 1-km SST (G1SST) for:.

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Global 1 km sea surface temperature g1sst for real time research and applications

Global 1-km Sea Surface Temperature (G1SST)for Real-Time Research and Applications

Yi Chao

Jet Propulsion Laboratory, California Institute of Technology

Pasadena, California, USA

4-Year (FY10-FY13) Project funded by NASA Physical Oceanography Program


Global 1 km sst g1sst for
Global 1-km SST (G1SST) for:

  • Real-time applications (< 24 hours)

  • Regional and coastal users (1-km, comparable to model resolution & observational data sets such as coastal radar, glider etc)

  • Less sophisticated users with limited resources/bandwidth to produce their own GHRSST SST at 1-km resolution over their region of interests


Real-time coastal forecasting with a 1-km model:

Data assimilation & model validation

Chao, Y., Z. Li, J. D. Farrara, and P. Huang, 2009: Blended sea surface temperatures from multiple satellites and in-situ observations for coastal oceans. J. Atmos. Oceanic Technology, 10.1175/2009JTECHO592.1.

  • Why global?

  • Request for other regions

  • If we can do for the California coast, we can do the global ocean


A few notes from this morning s discussion i hear both sides of the story
A few notes from this morning’s discussion: I hear both sides of the story

  • Who are the targeted users? What are the processes of interests? (e.g., modelers for data assimilation, feature tracking, real-time synoptic regional/coastal vs CDR low-frequency large-scale)

  • Recommendations: Data flag (dynamic) to indicate input data sets (1-, 5-, 25-km); Estimated errors

  • Let “Goldilocks” to pick the right product; no single product meets everyone’s needs (one-page summary should help!)


Two sides of the story not enough 1 km data 50 of the world ocean has 1 km data on the daily basis
Two sides of the story: not enough 1-km data; ~50% of the world ocean has 1-km data on the daily basis

25-km

1-km

5-km

1-km product & including a data flag


Input Data Sets: Microwave (25-km) world ocean has 1-km data on the daily basis


Input data sets geostationary infrared 5 km
Input Data Sets: Geostationary Infrared (5-km) world ocean has 1-km data on the daily basis


Input data sets polar orbiting infrared 1 km
Input Data Sets: Polar-Orbiting Infrared (1-km) world ocean has 1-km data on the daily basis

AVHRR

AATSR

(not shown)


In situ sst measurements
In Situ SST Measurements world ocean has 1-km data on the daily basis

Ships, moorings, surface drifters, profiling floats


How to combine multi satellite and in situ sst daily to meet users needs
How to combine multi-satellite and in situ SST daily to meet users’ needs?

  • Each pixel is measured multiple times by the same or different sensors

    • To use all data that provide independent information

  • Each pixel is measured by sensors with different resolutions

    • To combine data that provide information on different scales (e.g., 25-km MW, 5-km Geostationary, 1-km IR)

  • Different satellite and sensors have different errors including instrument error or representation error

    • To weight data differently according to their errors

  • The spatial interpolation/extrapolation cannot be uniform

    • To specify spatial varying de-correlation scales (e.g., open vs coastal ocean, along-shore vs cross-shore)


Multi scale 2davr algorithm
Multi-Scale 2DAVR Algorithm users’ needs?

L: 25-km; M: 5-km; H: 1-km

i: L, M, H S: input data sets


Multi scale 2davr algorithm gradient control
Multi-Scale 2DAVR Algorithm: users’ needs?Gradient Control


G1sst version 1 in sept 2008
G1SST: version 1 in Sept 2008 users’ needs?

http://ourocean.jpl.nasa.gov/SST


G1sst version 2 in may 2010
G1SST: version 2 in May 2010 users’ needs?

http://ourocean.jpl.nasa.gov/SST

Data-Void (24-hour period) Masked


Validation 20 in situ sst data reserved as independent
Validation: users’ needs?20% In Situ SST Data reserved as Independent

Data Points: 3856

Bias = -0.06

RMS = 0.59


G1sst data distribution
G1SST Data Distribution users’ needs?

http://ourocean.jpl.nasa.gov/SST

CF-Compliant netCDF

OPeNDAP/THREDDS

G1SST data are also available in netCDF format

from GHRSST GDAC @ PO.DAAC


G1sst for applications congo river outflow survey by chervon
G1SST for Applications: users’ needs?Congo River Outflow Survey by Chervon

Congo

River


Future work for g1sst fy11 fy13
Future Work for G1SST (FY11-FY13) users’ needs?

  • G1SST version 3 release projected in late 2011

    • Systematic bias correction (-0.1o)

    • Data flag for input data used in blending (e.g., 25-km, 5-km, 1-km)

    • Estimated errors (propagating errors from L2P to L4)

  • G1SST version 4 and beyond

    • Diurnal warming correction (e.g., KPP mixed layer model)

    • More input data sets: AVHRR (HRPT)

    • Include all data errors and co-variances

    • Improved spatial-varying error co-variances

  • Retrospective analysis (before Sept. 2008) – Computational cost

    • G1SST production is 2x faster than real-time on 16-processor cluster ($10K); reprocessing takes $5K*(data-year/time-year), e.g., $5K*(10 data-year/0.5 time-year) = $100K


Global 1 km sea surface temperature g1sst for real time research and applications1

Global 1-km Sea Surface Temperature (G1SST) users’ needs?for Real-Time Research and Applications

Questions?

[email protected]

Thanks to

The G1SST Team: Zhijin Li, Peggy Li, Benyang Tang, Quoc Vu

Jet Propulsion Laboratory, California Institute of Technology

Pasadena, California, USA

4-Year (FY10-FY13) Project funded by NASA Physical Oceanography Program


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