Core Service bio-geophysical Parameter
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Transcript of Core Service bio-geophysical Parameter
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geoland
Core Service bio-geophysical Parameter
Issue I.1.00
Ralf Lindau
UniBonn
CSP Meeting
9th September 2005
R&D Status reportR&D Status report
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Soil Moisture Retrieval for 2004
Global soil moisture fields for the second year (2004) are ready.
Resolution Half degree (50 km) 10 days
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Duero Basin
Time series for one grid point in Spain during 2003/2004.
Two years of data are now available for the TUW comparison in the Duero Basin.
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Two-step Retrieval
Longterm local mean of soil moisture (85.4 % of the total variance)
Longterm mean of precipitation Soil texture Vegetation density Terrain slope
Remaining anomaly against the longterm local mean
AMSR brightness temperatures (18 GHz, as 10 GHz is corrupted by RFI)
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Calibration of local longtime means by Russian data
Local longtime means of soil moisture comprise the majority of soil moisture variance (85.4%)
Local longtime means can be retrieved with high accuracy (r=0.854) from:
Climatological rain Vegetation density Soil texture Terrain slope
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Validation with Illinois Data
• On global scale the Illinois data set represents practically only one single site.
• However, this spot is retrieved accurately, lying on the 1-to-1 line.
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Chinese Soil Moisture Data
40 Stations
Measurements of 1m soil moisture for the period 1981 - 1999
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Validation with Chinese Data
• Underestimation of the mean soil moisture by 74mm. (200 mm / 274 mm)
• Correlation low with 0.523
• Mainly due to four desert stations.
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So far the validation of the longtime means (which include the majority of variance).
To improve the temporal performance, the availability of lower frequencies would be helpful, but they are disturbed by RFI.
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Radio Frequency Interference
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.
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Monthly 10 GHz Time Series
• RFI is detectable by
• high monthly averages
• high monthly stddev.
250 K
300 K
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Identification of RFI
Sea ≈ 90 K
Land ≈ 250 K
Coast : Transition with high
standard deviation.
RFI : Warmer than land.
Increased stddev.
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Spatial averaged TB over land
RFI is warmer than the normal land temperature.
We need to know the normal TB for each region.
Monthly averages over an area of 10° x 30°
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Simple scheme for RFI identification
• TB > 260 K
• Stddev > 5 K
• TB > 20 K
compared to a 10° x 30°
surrounding
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Next actions
Delivery of source codes
Delivery of soil moisture data for 2004
Improvement of the RFI indentification scheme and development of a RFI correction scheme to make the lower frequencies of AMSR usable.