aquarius algorithm workshop 18-20 march 2007 college of engineering department of atmospheric,...

10
Aquarius Algorithm Workshop 18-20 March 2007 College of Engineering Department of Atmospheric, Oceanic & Space Sciences Chris Ruf Space Physics Research Laboratory Dept. of Atmospheric, Oceanic & Space Sciences University of Michigan [email protected], 734-764-6561 (V), 734-936-0503 (F) Antenna Sidelobe Correction for Land Contamination

Upload: branden-elliott

Post on 20-Jan-2016

215 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Aquarius Algorithm Workshop 18-20 March 2007 College of Engineering Department of Atmospheric, Oceanic & Space Sciences Chris Ruf Space Physics Research

Aquarius Algorithm Workshop 18-20 March 2007

College of Engineering Department of Atmospheric, Oceanic & Space Sciences

Chris RufSpace Physics Research Laboratory

Dept. of Atmospheric, Oceanic & Space SciencesUniversity of Michigan

[email protected], 734-764-6561 (V), 734-936-0503 (F)

Antenna Sidelobe Correction for Land Contamination

Page 2: Aquarius Algorithm Workshop 18-20 March 2007 College of Engineering Department of Atmospheric, Oceanic & Space Sciences Chris Ruf Space Physics Research

19 Mar 2008 Ruf, Land Contamination, Aquarius Algo Workshop pg 2 of 10

Contributions to Antenna Temperature

TB(Earth in Mainlobe)TB (Earth in Sidelobes) ~ 150K

s2

s1

Parabolic Reflector

Feedhorns

TB(Earth in Mainlobe)TB (Earth in Sidelobes) ~ 150K

s2

s1

Parabolic Reflector

Feedhorns

TB(Earth in Mainlobe)TB (Earth in Sidelobes) ~ 150K

s2

s1

Parabolic Reflector

Feedhorns

])1([

)1(1

cearthSLMBearthSLearthSLAB

cearthSLMBearthSLearthSLMBBA

TTTT

TTTT

MB

Page 3: Aquarius Algorithm Workshop 18-20 March 2007 College of Engineering Department of Atmospheric, Oceanic & Space Sciences Chris Ruf Space Physics Research

19 Mar 2008 Ruf, Land Contamination, Aquarius Algo Workshop pg 3 of 10

General Description of Algorithm

• Model TB entering antenna from Earth at all view angels– Derive model from satellite radiometer observations

– Stratify by lat/lon of antenna, obs. frequency, time of year

• Derive sidelobe contribution to TA as antenna pattern weighted average

• Incorporate improved knowledge of sidelobe contribution into standard APC algorithm

Page 4: Aquarius Algorithm Workshop 18-20 March 2007 College of Engineering Department of Atmospheric, Oceanic & Space Sciences Chris Ruf Space Physics Research

19 Mar 2008 Ruf, Land Contamination, Aquarius Algo Workshop pg 4 of 10

Heritage with Other Flight Projects• Obligis, E., L. Eymard and N. Tran, “A new sidelobe

correction algorithm for microwave radiometers: Application to the Envisat instrument,” IEEE Trans. Geosci. Remote Sens., 45(3), 2007.– Use 1 year of Envisat nadir TBs at 23.8 and 36.5 GHz– Stratify by season – 4 time bins– Use nadir TBs directly in antenna pattern weighted averages– Incorporated into Envisat Level 1B operational processing in Nov.

2005• Developed with Jason Microwave Radiometer; Planned for

AMR on OSTM (Jason-2); Shannon Brown lead– Use 3 year JMR nadir TBs at 18.7, 23.8 and 34.0 GHz– Derive model to estimate off-nadir TB from nadir obs by regression of

simulated database of TBs at many angles from ocean/atmos data record and radiative transfer model (over ocean only)

22110 ),0(),(),0(),(),(),( fTfcfTfcfcfT BincBincincinc

SLB

oo

Page 5: Aquarius Algorithm Workshop 18-20 March 2007 College of Engineering Department of Atmospheric, Oceanic & Space Sciences Chris Ruf Space Physics Research

19 Mar 2008 Ruf, Land Contamination, Aquarius Algo Workshop pg 5 of 10

Brown JMR Results (1 of 3)(ref. Brown, S., “Generate JMR TE Maps,” JPL Tech. Memo, 4 Apr 2006)

Map of the 18.7 GHz nadir brightness temperature centered at LAT=35.5oE, LON=17oN. Inner black circle represents 10o off-nadir. Outer black circle is the Earth limb at 1338 km altitude, approximately 55o off-nadir.

Page 6: Aquarius Algorithm Workshop 18-20 March 2007 College of Engineering Department of Atmospheric, Oceanic & Space Sciences Chris Ruf Space Physics Research

19 Mar 2008 Ruf, Land Contamination, Aquarius Algo Workshop pg 6 of 10

Brown JMR Results (2 of 3)(ref. Brown, S., “Generate JMR TE Maps,” JPL Tech. Memo, 4 Apr 2006)

Earth incidence angle from perspective of 1338 km altitude above ground at LAT=35.5oE, LON=17oN.

Page 7: Aquarius Algorithm Workshop 18-20 March 2007 College of Engineering Department of Atmospheric, Oceanic & Space Sciences Chris Ruf Space Physics Research

19 Mar 2008 Ruf, Land Contamination, Aquarius Algo Workshop pg 7 of 10

Brown JMR Results (3 of 3)(ref. Brown, S., “Generate JMR TE Maps,” JPL Tech. Memo, 4 Apr 2006)

(LEFT) Nadir TB observations at 18.7 GHz(RIGHT) Modeled upwelling TB from perspective of 1338 km altitude above ground at

LAT=35.5oE, LON=17oN. (Note: no change from nadir for land TBs)

Page 8: Aquarius Algorithm Workshop 18-20 March 2007 College of Engineering Department of Atmospheric, Oceanic & Space Sciences Chris Ruf Space Physics Research

19 Mar 2008 Ruf, Land Contamination, Aquarius Algo Workshop pg 8 of 10

Aquarius Sidelobe Land Contribution (1 of 2)(ref. Brown, S., “Aquarius APC,” JPL Aquarius TIM, 1 Feb 2006,)

• Aquarius required to retrieve salinity > 450 km from coast

All points in blue > 450 km from land

Page 9: Aquarius Algorithm Workshop 18-20 March 2007 College of Engineering Department of Atmospheric, Oceanic & Space Sciences Chris Ruf Space Physics Research

19 Mar 2008 Ruf, Land Contamination, Aquarius Algo Workshop pg 9 of 10

Aquarius Sidelobe Land Contribution (2 of 2)(ref. Brown, S., “Aquarius APC,” JPL Aquarius TIM, 1 Feb 2006,)

• Less than 10% of on-Earth sidelobe fraction on land at 450 km (p1V)

(Assumes knowledge of TLand is better than 15 K)

Page 10: Aquarius Algorithm Workshop 18-20 March 2007 College of Engineering Department of Atmospheric, Oceanic & Space Sciences Chris Ruf Space Physics Research

19 Mar 2008 Ruf, Land Contamination, Aquarius Algo Workshop pg 10 of 10

Aquarius Implementation

• Use SMOS observations to train Tearth model– Model for incidence angle dependence of TB over ocean

and land can be better constrained by obs

• Pre-launch simulations– Build Tearth database

– Assess sensitivity of correction to errors in • Integrated antenna beam fractions

• Tearth (seasonal dependence, RFI effects, other?)