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Remote Sensing Systems

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Presentation on theme: "Remote Sensing Systems"— Presentation transcript:

1 Remote Sensing Systems
SSMIS Data at RSS Kyle Hilburn Remote Sensing Systems presented by George Huffman IPWG Co-Chair Remote Sensing Systems (RSS) has provided compilations of satellite microwave data and products for roughly two decades They are now starting to produce datasets and products for the SSMIS sensors • F16 is available now • F17 is just being released As with the other SSMIS efforts, they’ve been wrestling with the defects in the SSMIS record 1

2 F16 Intercalibration Results:
Distinguishing Sensor Errors from Radiative Transfer Model Errors RTM Error Diagnostics Same ΔTa (simulated minus measured) plotted versus different parameters Same color scale: ΔTa goes from -3K to +3K 19 GHz 22 GHz Wind Wind Vapor 37 GHz 91 GHz SST Vapor SST Y=Wind, X=SST Y=Wind, X=Vapor Y=Vapor, X=SST 2

3 F16 Intercalibration Results:
Distinguishing Sensor Errors from Radiative Transfer Model Errors (2/2) Sensor Calibration Error Diagnostics 37 GHz H-pol ΔTa Simulated-Measured Same ΔTa (simulated minus measured) plotted versus different parameters Same color scale: ΔTa goes from -3K to +3K Sun intruding into hot load Sun Polar Angle Orbit (deg). Emissive antenna Years Sun Azimuth Angle Y=Orbit Position, South Pole to South Pole X=1000 Orbits (6 years) Y=Sun Polar Angle, X=Sun Azimuth Angle 3

4 F16: Effect of Emissive Antenna
37 GHz H-pol ΔTa Simulated-Measured Arm Temperature Emissive antenna Orbit (deg). Orbit (deg). Years Years Y= Orbit Position, South Pole to South Pole X= 1000 Orbits (6 years) Y= Orbit Position, South Pole to South Pole X= 1000 Orbits (6 years) Magnitude of emissive antenna: 1-4% over GHz


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