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

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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


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

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


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

Input Data Sets: Microwave (25-km)


Input data sets geostationary infrared 5 km

Input Data Sets: Geostationary Infrared (5-km)


Input data sets polar orbiting infrared 1 km

Input Data Sets: Polar-Orbiting Infrared (1-km)

AVHRR

AATSR

(not shown)


In situ sst measurements

In Situ SST Measurements

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

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: Gradient Control


G1sst version 1 in sept 2008

G1SST: version 1 in Sept 2008

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


G1sst version 2 in may 2010

G1SST: version 2 in May 2010

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

Data-Void (24-hour period) Masked


Validation 20 in situ sst data reserved as independent

Validation: 20% In Situ SST Data reserved as Independent

Data Points: 3856

Bias = -0.06

RMS = 0.59


G1sst data distribution

G1SST Data Distribution

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: Congo River Outflow Survey by Chervon

Congo

River


Future work for g1sst fy11 fy13

Future Work for G1SST (FY11-FY13)

  • 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)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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