Spatial and temporal distributions of water vapour in the utls as observed with mipas envisat
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Spatial and temporal distributions of water vapour in the UTLS as observed with MIPAS/Envisat. M.Milz for the IMK/IAA-MIPAS-Team. Outline. IMK water vapour products Seasonal distributions Interannual differences Timeseries Conclusion. IMK/IAA Retrievals.

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Spatial and temporal distributions of water vapour in the utls as observed with mipas envisat

Spatial and temporal distributions of water vapour in the UTLS as observed with MIPAS/Envisat

M.Milz for the IMK/IAA-MIPAS-Team

Atmospheric Science Conference,

ESA-ESRIN, 2006


Outline
Outline UTLS as observed with MIPAS/Envisat

  • IMK water vapour products

  • Seasonal distributions

  • Interannual differences

  • Timeseries

  • Conclusion

Atmospheric Science Conference,

ESA-ESRIN, 2006


Imk iaa retrievals
IMK/IAA Retrievals UTLS as observed with MIPAS/Envisat

  • Scientific processor, independent from ESA level 2 processing

  • Different retrieval approach

  • Fixed altitude grid, finer than tangent altitude spacing - Regularization (Tikhonov-Phillips)

  • Retrieval of additional parameters beyond ESA standard products

Atmospheric Science Conference,

ESA-ESRIN, 2006


Imk iaa retrievals1
IMK/IAA Retrievals UTLS as observed with MIPAS/Envisat

  • Presented results are based on reprocessed Level 1b data (improved spectra quality)

  • sophisticated retrieval baselines, based on experience gained with NRT spectra.

  • baselines consistent for all results

  • consistent data from Sep 2002 until March 2004

  • approximately 1 complete day processed ever 10 days.

Atmospheric Science Conference,

ESA-ESRIN, 2006


Water vapour
Water Vapour UTLS as observed with MIPAS/Envisat

Baseline version H2O_11

  • Improved microwindow set

  • Relaxed regularization than previous products (increased vertical resolution)

  • Consistent pre-retrieved shift and temperature products

Atmospheric Science Conference,

ESA-ESRIN, 2006


Seasonal distributions
Seasonal distributions UTLS as observed with MIPAS/Envisat

April 2003

January 2003

6 ppmv

September 2003

July 2003

2 ppmv

Atmospheric Science Conference,

ESA-ESRIN, 2006


Seasonal distributions1
Seasonal distributions UTLS as observed with MIPAS/Envisat

10 ppmv

January 2003

April 2003

0 ppmv

September 2003

July 2003

Atmospheric Science Conference,

ESA-ESRIN, 2006


July 2003
July 2003 UTLS as observed with MIPAS/Envisat

Atmospheric Science Conference,

ESA-ESRIN, 2006


Interannual differences
Interannual differences UTLS as observed with MIPAS/Envisat

H2O, September 2002

H2O, September 2003

6 ppmv

Split Vortex 2002!

2 ppmv

Atmospheric Science Conference,

ESA-ESRIN, 2006


Interannual differences ii
Interannual differences II UTLS as observed with MIPAS/Envisat

T, September 2003

T, September 2002

230 K

180 K

Atmospheric Science Conference,

ESA-ESRIN, 2006


Interannual differences ii1
Interannual differences II UTLS as observed with MIPAS/Envisat

Atmospheric Science Conference,

ESA-ESRIN, 2006


Timeseries
Timeseries UTLS as observed with MIPAS/Envisat

Mar. 04

Oct. 02

Atmospheric Science Conference,

ESA-ESRIN, 2006


Timeseries1
Timeseries UTLS as observed with MIPAS/Envisat

Mesospheric

Air

Dehydration

Atmospheric Science Conference,

ESA-ESRIN, 2006


Timeseries2
Timeseries UTLS as observed with MIPAS/Envisat

Split Vortex 2002

Atmospheric Science Conference,

ESA-ESRIN, 2006


Conclusion
Conclusion UTLS as observed with MIPAS/Envisat

  • Seasonal differences and peculiarities in water vapour distributions were observed

  • Increased H2O vmr around 30-40° N during July can be attributed to the Indian Monsoon region

  • Interannual differences for September (2002 vs. 2003) are clearly visible

  • Temporal evolution of water vapour fields show a clear tape-recorder signal in the tropics and subsidence over South Pole

  • The IMK/IAA water vapour data set provides accurate data for analysis of initial 18 months of MIPAS measurements

Atmospheric Science Conference,

ESA-ESRIN, 2006


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