DESERT DUST SATELLITE RETRIEVAL INTERCOMPARISON
Download
1 / 21

DESERT DUST SATELLITE RETRIEVAL INTERCOMPARISON - PowerPoint PPT Presentation


  • 57 Views
  • Uploaded on

DESERT DUST SATELLITE RETRIEVAL INTERCOMPARISON. Elisa Carboni 1 , G.Thomas 1 , A.Sayer 1 , C.Poulsen 2 , D.Grainger 1 , R.Siddans 2 , C.Ahn 3 , D.Antoine 4 , S.Bevan 5 , R.Braak 6 , H.Brindley 7 ,

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'DESERT DUST SATELLITE RETRIEVAL INTERCOMPARISON' - selina


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
Desert dust satellite retrieval intercomparison

DESERT DUST SATELLITE RETRIEVAL INTERCOMPARISON

Elisa Carboni1,

G.Thomas1, A.Sayer1, C.Poulsen2, D.Grainger1, R.Siddans2,

C.Ahn3, D.Antoine4, S.Bevan5, R.Braak6, H.Brindley7,

S.DeSouza-Machado8, J.Deuze9, D.Diner10, F.Ducos9, W.Grey5, C.Hsu11, O.V.Kalashnikova10, R.Kahn10, C.Salustro11, D.Tanre‘9, O.Torres11, B.Veihelmann6

(1) University of Oxford, Oxford, UK.

(2) Rutherford Appleton Laboratory, Didcot, UK.

(3) Science Systems and Applications, Maryland, USA

(4) Laboratoire d'Océanographie de Villefranche (LOV), FRANCE

(5) Swansea University, UK

(6) KMNI, NL

(7) Imperial College, UK

(8) University of Maryland Baltimore County, USA

(9) LOA, UST de lille, FRANCE

(10) JPL, Pasadina, USA

(11) GSFC NASA, USA

Imperial College - 19 Feb. 2008


Desert dust satellite retrieval intercomparison

Desert Dust satellite Retrieval Intercomparison (DRI)

  • OUTLINE:

  • Introduction

    • Scope

    • Dataset included

  • Aeronet comparison

  • Results of individual datasets

  • Dataset vs dataset

    • land

    • ocean

  • Means of all dataset

  • Conclusion


Desert dust satellite retrieval intercomparison

Desert dust retrieval intercomparison

  • Main purpose/tasks:

  • Look at desert plume from satellite over bright surface

  • Identify the differences in the different desert dust aerosol retrievals with the aim of helping understand the retrieval problem, not to find the 'best' one and identify a winner

  • Help the algorithm developer to identify strengths and the weaknesses

Further algorithm and aerosol characterisation improvements


Desert dust satellite retrieval intercomparison

Desert dust retrieval intercomparison - Datasets

SEVIRI: ORAC (E.Carboni, C.Poulsen, G.Thomas, D.Grainger, R.Siddans, A.Sayer)

Globaerosol (C.Poulsen, G.Thomas,D.Grainger, R.Siddans, E.Carboni, A.Sayer)

Imperial VIS (H.Brindley)

Imperial IR (H.Brindley)

AATSR: ORAC (A.Sayer, G. Thomas, E.Carboni, D.Grainger, C.Poulsen, R.Siddans) Globaerosol (G.Thomas, C.Poulsen,D.Grainger, R.Siddans, E.Carboni, A.Sayer)

Swansea (W.Grey, S.Bevan)AIRS: JCET (S.DeSouza-Machado) OMI: NASA-GSFC (O.Torres, C.Ahn) KNMI (B.Veihelmann, R.Braak)MISR: JPL (D.Diner, R.Kahn, O.V.Kalashnikova)MERIS: LOV (D.Antoine)

SEAWIFS:

LOV (D.Antoine)

MODIS: NASA-GSFC (C. Hsu, C.Salustro) POLDER: Ocean (D.Tanre', J.Deuze, F.Ducos)

Land (D.Tanre', J.Deuze, F.Ducos)


Desert dust satellite retrieval intercomparison

Desert dust retrieval intercomparison

TECHNICAL DISCUSSION

region of comparison:lat: 0:45(N) deg lon: -50(W):50(E) deg

Period: March 2006

Strategy:

first retrieval run

algorithm as they are

Data provided:

AOD 550nm

a)Daily image (average in regular common grid 0.5 lat. lon. box)‏

comparison and discussion

All satellite dataset vs. all

second retrieval run

modified algorithm

b) Average in a radius of 50Km from Aeronet sites to compare with average in a 30min on Aeronet data

second comparison and

identification of the problems

All satellite dataset vs. AERONET


Desert dust satellite retrieval intercomparison

Desert dust retrieval intercomparison - Datasets

Rerieval over:

Ocean,

x

x

x

x

x

x

x

x

x

x

x

x

x

Land

x

x

x

x

x

x

x

x

x

x

x

x

Aeronet

x

x

x

x

x

x

x

x

x

x

x

x

x

x

Time UTC:

12:12

10: 13: 16:

12:12

12:12

Orbit local time

10:30

10:30

10:30

x

x

x

x

x

x

x

x

x

SEVIRI: ORAC

Globaerosol

Imperial VIS

Imperial IR

AATSR: ORAC Globaerosol

Swansea AIRS: JCET OMI: NASA-GSFC KNMI MISR: JPL MERIS: LOV

SEAWIFS:

LOV

MODIS: NASA-GSFC POLDER: Ocean

Land



Desert dust satellite retrieval intercomparison

SATELLITE vs AERONET

AATSR GLOB

AATSR ORAC

AATSR SWA

MERIS LOV

OMI NASA

MISR

MODIS

OMI KNMI

POLDER OCEAN

SEAWIF LOV

SEVIRI IMPERIAL IR

SEVIRI ORAC


Desert dust satellite retrieval intercomparison

Satellite AOD of dataset (8 March 2006) – different coverage

AATSR GLOB

AATSRGLOB

AATSR ORAC

AATSR SWA

AIRS

MERIS LOV

MISR

MODIS

OMI KNMI

POLDER LAND

POLDER OCEAN

OMI NASA

SEAWIF LOV

SEVIRI IMPERIAL IR

SEVIRI IMPERIAL VIS

SEVIRI GLOB

SEVIRI ORAC


Desert dust satellite retrieval intercomparison

Satellite datasets monthly means coverage

AATSR GLOB

AATSRGLOB

AATSR ORAC

AATSR SWA

AIRS

MERIS LOV

MISR

MODIS

OMI KNMI

POLDER LAND

POLDER OCEAN

OMI NASA

SEAWIF LOV

SEVIRI IMPERIAL VIS

SEVIRI GLOB

SEVIRI ORAC

SEVIRI IMPERIAL IR


Desert dust satellite retrieval intercomparison

COMPARISON satellite vs satellite coverage

INSERT SCATTER-DENSITY PLOTS!!!

WHICH ONE???

in the following slide I used (like exemple)

AATSR ORAC (first in alphabetic order),

which one I can use?


Desert dust satellite retrieval intercomparison

satellite vs satellite – AATSRGLOB - LAND coverage

here one example for AATSRORAC (first in alphabetic order), which one I can use?





Desert dust satellite retrieval intercomparison

Correlation coefficient (CC) coverage

LAND

OCEAN

we like


Desert dust satellite retrieval intercomparison

Root mean square differences (RMSD) coverage

LAND

OCEAN

we like


Desert dust satellite retrieval intercomparison

Monthly average of all dataset – March 2006 coverage

INSERT AOD MOVIE!!!


Desert dust satellite retrieval intercomparison

Monthly average of all dataset – March 2006 coverage

AOD

Nday

STD

STD/AOD


Desert dust satellite retrieval intercomparison

DRI - Conclusion coverage

- All dataset show a reasonably good agreement with Aeronet

- the discrepancy increase significantly when compare satellite vs satellite dataset.

Possibly due to the fact that Aeronet itself make a good datacut

(=> comparison satellite-Aeronet are done only in good conditions).

- the satellite dataset itself could be affect by cloud contaminations and other errors...??

- The monthly mean of the satellite dataset differ, mainly due to different satellite coverage (overpass, swap...) and cut of data.

- Cut of data is one of the more affecting point.

e.g. observing the monthly means over ocean (where all the retrieval are more confident, and the general comparisons with aeronet are better) between samesatellite there are still discrepancy, possible due to aerosol model and retrieval algorithm but also due to datacut.

- some dataset make a restrictive data cut and cut mainly the higher part of the plume.

- A way to follow AOD for march 2006 is the average of all dataset and it present incredibly good continuity also in the passage ocean-land and between area with different number of datasets.

Anyway STD between dataset are sometime comparable with the value of average AOD itself, and is higher in correspondence with the desert dust plume.STD/AOD could be >1 especially over land bright surface... (unlukly aeronet station are mainly outside this region)