Impacts of Soil Moisture on Storm Initiation Christopher M. Taylor Richard Ellis.
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Transcript of Impacts of Soil Moisture on Storm Initiation Christopher M. Taylor Richard Ellis.
![Page 1: Impacts of Soil Moisture on Storm Initiation Christopher M. Taylor Richard Ellis.](https://reader030.fdocuments.us/reader030/viewer/2022032704/56649d485503460f94a239cc/html5/thumbnails/1.jpg)
Impacts of Soil Moisture on Storm Initiation
Christopher M. Taylor
Richard Ellis
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Lack of observations of soil moisture/precip feedbacks
-need to locate wet areasTRMM microwave data from 2 orbits on 3 Aug 2000
Mean cold cloud cover (pixels < - 40 degC)in previous 12 hours (Meteosat)
Can define wet strip of length X along scan line
Identify 1559 wet strips from 2000 wet seasonStudy subsequent evolution of cold cloud - differences due to soil moisture variations along section
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An individual case
Wet soil
12 June 2000 22:15
Met
eosa
t 7
TIR
In this single case, extent of convective system influenced by soil moisture
Storms appears to “avoid” wet patch
13 June
Pol
aris
atio
n ra
tio T
RM
M
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Results from 108 cases
• Initiation over wet soil strongly suppressed (2% cases)
• Over 50% cases similar to example shown
• Even clearer signal for small (<200 km) cloud systems
• Suggests a negative soil moisture – precipitation feedback
Cold cloud extent 13 June
Taylor and Ellis in press, GRL
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Sensitivity to length scale of wet strip
Afternoon/evening cold cloud in composites
(4 pixels ~ 37 km)
All but smallest strips (< 37km) exhibit reduced cloud over wet soilFirst comprehensive study anywhere in world
Wet soil
Drier soil75
km
150
km
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Issues to address with SOP obs.
• Satellite data demonstrates strong impacts on afternoon/evening convection– depends on spatial scales of patch and storm
• Need high resolution atmospheric data to understand mechanisms
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Mechanisms: thermodynamic profiles?
Dropsonde profiles JET2000 ~100 km apart10:30 28/8/00
Strong horizontal variability but no convection developed in this case
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Mechanisms: Pre-storm dynamic response to surface heating?
Sensible heat flux difference
2 simulations of JET2000 case study (Richard Ellis)
Differences in atmospheric simulations
Warmer, drier PBL
Convergence over dry soil
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Aircraft data?
• Afternoon flights over heterogeneous surfaces– Different length scales– On days when convection likely (yet not too cloudy in
morning so satellites can detect surface)
• Low level flight data – as low as possible to maximise signal from possible
circulations (peak mid-afternoon)
• Drop sondes– Focused on interesting regions, mid/late afternoon?
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Different year, different satellite, same behaviour!
66 mm at Agoufou (cf 401mm annual mean)
Soil moisture derived from AMSR-E
Storms previous night Approaching storm 13Z
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Satellite data in the Sahel
• Sparse vegetation: surface moisture important control on fluxes of sensible and latent heat
• Several possibilities for identifying variability in surface soil moisture from satellite
• Use passive microwave (10.65 GHz) from TRMM Microwave Imager to infer wet soil (high evaporation) after recent rain
Rainfall (bars) and TRMM polarisation ratio (asterisks) in Banizoumbou region (Niger)
Soi
l dry
ing
afte
r ra
in
Rainfall data courtesy of T. Lebel
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Impact of soil moisture on subsequent convection
Cross-section
Increased cloud from left to right (meridional gradient of cloud)
Reduced cloud in vicinity of wet soilBiggest effect afternoon and early evening
33% reduction in cold cloud!
Evening peak in cold cloud
Cold cloud cover [%] in composite(739 cases)
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Motivation
• Atmospheric models suggest soil moisture important control on rainfall in Sahel
• Large uncertainty in models (Koster et al 2004)• Observations valuable
– How does the coupled land-atmosphere system really function?
– How do feedbacks depend on space and time scales?
• Lack of direct observations at appropriate spatial scale, but satellite data provides useful proxy