MIR OZONE ISSUES Horizontal (STE) and vertical transport (long life time in UTLS) Photochemical...

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MIR OZONE ISSUES Horizontal (STE) and vertical transport (long life time in UTLS) Photochemical production by precursors (biomass burning, lightning,..) ? Origin of wave number one distribution in tropospheric column ?

Transcript of MIR OZONE ISSUES Horizontal (STE) and vertical transport (long life time in UTLS) Photochemical...

Page 1: MIR OZONE ISSUES Horizontal (STE) and vertical transport (long life time in UTLS) Photochemical production by precursors (biomass burning, lightning,..)

MIR OZONE

ISSUES

Horizontal (STE) and vertical transport (long life time in UTLS)

Photochemical production by precursors (biomass burning, lightning,..) ?

Origin of wave number one distribution in tropospheric column ?

Page 2: MIR OZONE ISSUES Horizontal (STE) and vertical transport (long life time in UTLS) Photochemical production by precursors (biomass burning, lightning,..)

Ozone

200154 profiles

200311 profiles

Hurricane

40

35

30

25

20

15

10

5543210

Concentration (x1012 mol/cm3)

No cloudsO3

MorningEvening

40

35

30

25

20

15

10

5543210

Concentration (x1012 mol/cm3)

No cloudsO3

Morning Evening

Page 3: MIR OZONE ISSUES Horizontal (STE) and vertical transport (long life time in UTLS) Photochemical production by precursors (biomass burning, lightning,..)

A little less in LS and UT than in 2001-2003 (lower lat, QBO, later season)

Very small variability in LS, larger in UT and TTL, similar to 2001-2003

SAOZ-MIR 2004

Page 4: MIR OZONE ISSUES Horizontal (STE) and vertical transport (long life time in UTLS) Photochemical production by precursors (biomass burning, lightning,..)

Ozone partial column 7-32 km

Most of Wave number one in TTO due to UT and TTL and

not to Lower troposphere (biomass burning)

Page 5: MIR OZONE ISSUES Horizontal (STE) and vertical transport (long life time in UTLS) Photochemical production by precursors (biomass burning, lightning,..)

350 300 250 200 150 100 50 0

25

20

15

10

5

0

40 30

30

20

5 5

-10

-10

-20

-50 -50

-20

∆Z 360-340 K

O3 DEVIATION (%)

Walker Circulation (Newel 1979)

Ozone at 20°S MIR SAOZ March 2001

% deviation from zonal mean

Minima in TTL over convective areas, particularly maritime (O3 destruction at surface level over Ocean), Maxima over subsident regions (meridional horizontal transport)

Ozone distribution mainly controlled by transport (quasi-horizontalfrom mid-latitude and vertical by convection

Page 6: MIR OZONE ISSUES Horizontal (STE) and vertical transport (long life time in UTLS) Photochemical production by precursors (biomass burning, lightning,..)

Very similar ideas:Max in UT over subsident oceanic areasMinimum over convection, lowest over maritime convection

March 2004

Page 7: MIR OZONE ISSUES Horizontal (STE) and vertical transport (long life time in UTLS) Photochemical production by precursors (biomass burning, lightning,..)

Ozone partial column 7-32 km

Most of Wave number one in TTO due to UT and TTL and

not to Lower troposphere (biomass burning)

Page 8: MIR OZONE ISSUES Horizontal (STE) and vertical transport (long life time in UTLS) Photochemical production by precursors (biomass burning, lightning,..)

43210

Abs. variability ((e11 mol / cm3)

30

25

20

15

10

5

0543210

Number Dens (e12 mol/cm3)

100806040200

% Variability

Page 9: MIR OZONE ISSUES Horizontal (STE) and vertical transport (long life time in UTLS) Photochemical production by precursors (biomass burning, lightning,..)

Ozone variability along latitude circle in 2001

± 3% above 20 km± 15% in TTL above TT± 35% in UT

Removal of H. Transport (PV correlation)Vert. Transport (340-370 K thickness)

Predominantly H. transport Contrib. of convection up to 19km Others in UT and TTL (chemistry, errors) <7%

Tropopause

Top TTL

25

20

15

10

Altitude (km)

50403020100

Variability (%)

Observed

Horiz.transp. removed

Transp. removed

Difference between maritime and continental convection ?

Page 10: MIR OZONE ISSUES Horizontal (STE) and vertical transport (long life time in UTLS) Photochemical production by precursors (biomass burning, lightning,..)
Page 11: MIR OZONE ISSUES Horizontal (STE) and vertical transport (long life time in UTLS) Photochemical production by precursors (biomass burning, lightning,..)

MIR-SAOZ Water vapour

Measurements : 3 Wavelength ranges: 590 nm, 760 nm and 940 nm

GOALWhich process is controlling the dehydration of stratospheric air ?

Convective dehydration (air already dehydrated in convective clouds) ?OrCold-trap dehydration (dehydration within slow ascending air in coldest TTL through fast horizontal transport) ?

Page 12: MIR OZONE ISSUES Horizontal (STE) and vertical transport (long life time in UTLS) Photochemical production by precursors (biomass burning, lightning,..)

SAOZ- MIR H2O compared to SDLA, HALOE and ECMWF

Cold Point

Tropopause

Page 13: MIR OZONE ISSUES Horizontal (STE) and vertical transport (long life time in UTLS) Photochemical production by precursors (biomass burning, lightning,..)

5

10

15

20

25A

ltitu

de (

km)

Water Vapour MR ppm1 10 102 103 104

SDLA2, SDLA4, ECMWF, MIR, HALOE, GOMOS

GOMOS

Page 14: MIR OZONE ISSUES Horizontal (STE) and vertical transport (long life time in UTLS) Photochemical production by precursors (biomass burning, lightning,..)

Cold Point

E. Pacific Atlantic Indian

Water Vapour Zonal distribution

Minima at cold point level over subsident maritime areas (STE ?)

Maxima over deepest convective areas : Africa, S. America and SPCZ

Page 15: MIR OZONE ISSUES Horizontal (STE) and vertical transport (long life time in UTLS) Photochemical production by precursors (biomass burning, lightning,..)

Temperature derived from O2 density (preliminary, 5K bias)

Cold Point

Maximum H2O at coldest cold point level over convective areas !

Page 16: MIR OZONE ISSUES Horizontal (STE) and vertical transport (long life time in UTLS) Photochemical production by precursors (biomass burning, lightning,..)

Extinction < 1e-2 km-1 = thin cirrus

MIR-SAOZ

2004

Page 17: MIR OZONE ISSUES Horizontal (STE) and vertical transport (long life time in UTLS) Photochemical production by precursors (biomass burning, lightning,..)

Tropopause

Cold Point

SPCZ S. America Africa Hurricane

Atmospheric Extinction

Opaque clouds barely at lapse rate tropopause Thin cirrus predominantly over convective areas

150100500-50-100-150

Longitude

25

20

15

10

5

0

0.008

0.008

0.008 0.006

0.006

0.006

0.006

0.006

0.006 0.004

0.002

CLOUDS

Page 18: MIR OZONE ISSUES Horizontal (STE) and vertical transport (long life time in UTLS) Photochemical production by precursors (biomass burning, lightning,..)

DJF average Water vapour (ppm) at 100 hPa.

Left HALOE, right MOZART

3.8

3.6 3.4 3.8

33 3

Max over convective areas : Africa, S. America and SPCZ

Min over subsident oceanic areas

Page 19: MIR OZONE ISSUES Horizontal (STE) and vertical transport (long life time in UTLS) Photochemical production by precursors (biomass burning, lightning,..)

East QBO

West QBO

MLS

100 hPa

Black contour: UKMO temp <193.5

White: OLR <220W/m2

Page 20: MIR OZONE ISSUES Horizontal (STE) and vertical transport (long life time in UTLS) Photochemical production by precursors (biomass burning, lightning,..)

MLS

83 hPa

Page 21: MIR OZONE ISSUES Horizontal (STE) and vertical transport (long life time in UTLS) Photochemical production by precursors (biomass burning, lightning,..)

UARS MLS

100 hPa

83 hPa

ECMWF / REPROBUS Feb-Mar 04

Read et al. 2004

Page 22: MIR OZONE ISSUES Horizontal (STE) and vertical transport (long life time in UTLS) Photochemical production by precursors (biomass burning, lightning,..)

Preliminary conclusions

Water vapour maxima at cold point level over deepest convective areas, coldest cold point temp and max cirrus.

Minimum over subsident maritime areas (STE ?)

Fully consistent with HALOE seasonal average and MLS 1992/93 (same QBO phase)

Lesser agreement with ECMWF

New GOMOS H2O available (still preliminary)

Further work

Improved comparisons with other Hibiscus observations

Correlation with H and V transport indices

Comparisons to global scale simulations