Uni bonn contributions to smos validation
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Uni Bonn contributions to SMOS Validation. Ralf Lindau Bonn University. Bonn contributions. Detection of Radio Frequency Interference Found in SMMR, AMSR etc. Expected also in SMOS Comparison of SMOS soil moisture with existing data Direct measurements from GSMDB AMSR-derived SM

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Uni Bonn contributions to SMOS Validation

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Uni bonn contributions to smos validation

Uni Bonn contributions to SMOS Validation

Ralf Lindau

Bonn University

SMOS Workshop – Hamburg, 9.-10. November 2006


Bonn contributions

Bonn contributions

  • Detection of Radio Frequency Interference

    • Found in SMMR, AMSR etc.

    • Expected also in SMOS

  • Comparison of SMOS soil moisture with existing data

    • Direct measurements from GSMDB

    • AMSR-derived SM

  • Pixel-intern variance

    • Necessary to interprete the intended validations with point measurements properly.

    • build and operate a transportable polarized L-Band radiometer

  • Investigate signal noise due to rain and vegetation

SMOS Workshop – Hamburg, 9.-10. November 2006


Radio frequency interference

Radio Frequency Interference

  • Time series of 6 GHz brightness temperature from SMMR in France

  • Until 1981 the normal annual cycle is found.

  • After 1981 the 6 Ghz signal is completely unusable due to noise.

SMOS Workshop – Hamburg, 9.-10. November 2006


Smmr rfi in 6 ghz

SMMR RFI in 6 GHz

The scatter is low inSibiria, increases westward and reaches maximum values near St. Petersburg

SMOS Workshop – Hamburg, 9.-10. November 2006


Asmr rfi

ASMR RFI

In Europe the 10 GHz channel is completely noisy in England and Italy.

In the USA the 6 GHz measurements are corrupted over New York, Boulder etc.

SMOS Workshop – Hamburg, 9.-10. November 2006


Amsr 10 ghz rfi

AMSR 10 GHz RFI

250 K

  • RFI is detectable by

    • high monthly averages

    • high monthly stddev.

300 K

SMOS Workshop – Hamburg, 9.-10. November 2006


Simple rfi scheme

Simple RFI Scheme

  • TB> 260 K

  • Stddev> 5 K

  • DTB> 20 K

    compared to a 10° x 30°

    surrounding

SMOS Workshop – Hamburg, 9.-10. November 2006


Soil moisture from amsr

Soil Moisture from AMSR

Longtime mean

+

10-day anomalies

SMOS Workshop – Hamburg, 9.-10. November 2006


2 step retrieval

2-Step Retrieval

SMOS Workshop – Hamburg, 9.-10. November 2006


Pixel intern variance

Pixel-intern Variance

Belarussian soil moisture data

21 stations, 10 daily during about 10 years

Average spatially and compare the reduced variance to the total variance

40% are left for 400-km-Pixels

59% are left for SMMR-Pixels

The left external variance is equal to the maximum correlation between point measurements and area averages

SMOS Workshop – Hamburg, 9.-10. November 2006


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