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Homogenisation of Global Radiosonde
Humidity Data
M. Blaschek and L. Haimberger Vienna, 18.1.2017
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1. Why
2. How (Update)
3. Changes
4. Ready
Outline
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WHY? - Uncorrected Radiosonde Humidity - DPD Trends
300 hPa
Time (Month)
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DPD trends per decade at 300 hPa1979 - 2016, cost: ~2800
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HOW?Need to consider the
distribution of the humidity variable (DPD) + sensor
dry
humid
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HOW? - Quantile MatchingDistributions between
Breakpoints
Match ERA-Interim to radiosonde
Match QuantilesMatch Quantiles with adjusted ERA-Interim
Adjustments
Mean Adjustments
afterbefore
after
after
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Adjusted radiosonde humidity
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U M QM
DPD Trends
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M
QM
~300
~450
U ~2800
300 hPa1979-2016
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Global Radiosonde DPD Trends
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ERA Interim Trends 1979-2016, 300 hPa
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U
M
QM75 % Quantile Trends, 1979-2016
Q75
DPD
Tre
nds
K/1
0a
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Ready?• Almost. Paper in preparation.
• Additional comparison with satellite data is in progress, but is limited by quality of the satellite data (SSMIS, SSM/T-2)
• Comparison with GPS-RO (recent times). Choice of a reference period.
• Problems >>
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problems• Breakpoint detection whilst large data gaps exist
• Satellite data quality in comparison with RASO
• Radiosonde DPD is reported as integer above 5K. ( B. Ingleby (~BAMS 2016) TEMP specifications. Most centres still use TEMP.
• Incomplete time series. e.g. US (even in IGRA).
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Departures of RASO BT to ERA-Interim BT
source: EUMETSAT/ CM-SAF, SSMIS (FCDR) swath dataEUMETSAT/ ECMWF MARS ODB, SSM/T-2
Mid-Tropospheric Level
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ERA Report Series 21 CM-SAF SSM/T2
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both
MARS
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Thanks