The transition for the AMSR-E rainfall algorithm to AMSR2
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Transcript of The transition for the AMSR-E rainfall algorithm to AMSR2
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The transition for the AMSR-E rainfall algorithm to AMSR2
David I. DuncanChris Kummerow
Oxnard AMSR-E Technical Interface Meeting
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Transition:
AMSR-E (L2A)[6/2002 – 10/2011]
• Non-raining variables (RSS)
• Precipitation (CSU/NOAA)
AMSR2[7/2012 - ]
• ?
• ?
Consistent time series?
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The challenge:AMSR-E (L2A)
RSS TbsRSS and CSU
AMSR2 (L1B)JAXA Tbs
CSU
AMSR-E (L1B)JAXA Tbs
CSU
• Consistency of precipitation and other geophysical data products
• How to determine consistency with no temporal overlap?
• Calibration is key, but using what method?
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A reminder: GPROF 2010 V2 recently implemented for AMSR-E
Zonal means shown for Jan, Apr, Jul, Oct 2007
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Using unchanged L1B Tbs from AMSR-E, comparing with L2A
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An example of the future level 3 monthly gridded (0.25 deg) precipitation product from GPROF 2010v2
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TOP: JAXA Calibration to AME L1B
Mean = 3.12 mm/day
BOTTOM: No Calibration appliedMean = 3.81 mm/day
(+22.1%)
AMSR2 Precipitation
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TOP: JAXA Calibrationto AME L1B
Mean=36.6mm
BOTTOM: No Calibration appliedMean=38.9mm
(+6.3%)
AMSR2 Water Vapor
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TOP: JAXA Calibrationto AME L1B
Mean=9.30 m/s
BOTTOM: No Calibration appliedMean=7.84 m/s
(-15.7%)
AMSR2 Wind Speed
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Using CSU Intercal method. Contact Wes Berg ([email protected]) for further details
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For the months studied:
+6.5% AME L1Bvs. CSU intercal
+7.4% AME L1Bvs. TMI
+7.1% AM2 JAXA intercal vs. CSU intercal
+9.8% AM2 JAXA intercalvs. TMI
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Thank you!
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