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What can we learn about LSM’s from the ELDAS
increments?
Bart vd Hurk, Janneke Ettema & Pedro Viterbo
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A bit about ELDAS
• Soil moisture assimilation ‘the European way’ (corrections using atm RH & T)
• Observed precipitation and radiation
• 15 month pilot study– Oct 1999 – Dec 2000
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Design of assimilation system
precipitation
radiation
evaporation
Soil moisturecorrection scheme
Soil moisturecontent
(sub)surfacerunoff
Observations drivingsoil moisture correction
Synops dataMETEOSAT or
MSG
Land surfaceparameterizationscheme
Boundary layerscheme
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Validation sites
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Validation sites
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Validation sites• 20yr ‘PILPS’-climatology (driven by ERA40)• 15mnth CTL with obs P & R• 15mnth DA with obs P & R
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Effect of data assimilation
One of dW
Accumulated increment
Change of evaporation
Change of runoff
Change of soil water
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A few examples
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Ratio increment / (WS)
Apr – Oct 2000
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Partitioning of increments
Evaporation RunoffStorage
Apr – Oct 2000
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Partitioning of increments
Evaporation RunoffStorage
Apr – Jul 2000
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Ranking of E/I
• Nrs in order of rank E/I
• First 10 are found in Mediterranean and Estonia
1 23
4
5 6
7 8
9
10
36
35
34
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Limited response of EPrecipitationRunoffStorageEvaporation
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Evaporation 1 Apr – 1 Oct
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Conclusions
• For many locations increments exceed interannual variability of WS
• For many non-Mediterranean points only a small portion of increments is returned into atmosphere
• Limited response of E in offline runs
• DA gives better evaporation for a few points, but generally only small effect compared to mean bias