Presentation is loading. Please wait.

Presentation is loading. Please wait.

POLAR MULTI-SENSOR AEROSOL PROPERTIES OVER LAND Michael Grzegorski, Rosemary Munro, Gabriele Poli, Andriy Holdak and Ruediger Lang.

Published byAllen Brooks Modified over 8 years ago

Similar presentations

Presentation on theme: "POLAR MULTI-SENSOR AEROSOL PROPERTIES OVER LAND Michael Grzegorski, Rosemary Munro, Gabriele Poli, Andriy Holdak and Ruediger Lang."— Presentation transcript:

1 POLAR MULTI-SENSOR AEROSOL PROPERTIES OVER LAND Michael Grzegorski, Rosemary Munro, Gabriele Poli, Andriy Holdak and Ruediger Lang

2 EUMETSAT Meteorological Satellite Conference 22 – 26 September 2014, Geneva Overview  PMAp: Polar Multi-sensor Aerosol product developed at EUMETSAT  AOD over ocean, aerosol classification (volcanic ash)  Delivered as a GOME-2 product  Pre-operational since Q2/2014  fully operational status: October 2014 (expected)  Distributed by EUMETCast in netcdf4  Upcoming improvements of the PMAp retrieval  PMAp Release 2: Extension to pixels over land First (preliminary) results for AOD over land Q1-2/2015: Implementation in the core ground segment

3 EUMETSAT Meteorological Satellite Conference 22 – 26 September 2014, Geneva METOP instrument level-1 data used by PMAp Instru ment Spatial resolution Spectral rangecomments GOMEMain science channel 80 x 40 km240nm -800nm, res. 0.25-0.5nm AAI, low spatial resolution, not used Polarization Monitoring Device 10 x 40 km Metop-B 5 x 40 km Metop-A 311nm-803nm, 15 bands AOD, aerosol type, AAI AVHRR-1.08 x 1.08 km580nm-12500nm, 5 bands Clouds, scene heterogeneity, dust/ash IASI-12km (circular)3700–15500nm, resolution 0.5 cm -1 desert dust, volcanic ash aerosol heights Auxiliar y data ECMWF wind speed (forecasting) Temporal interpolation necessary -Required for retrievals over ocean surface albedo, Surface elevation --Required for retrievals over land Target spatial resolution

4 EUMETSAT Meteorological Satellite Conference 22 – 26 September 2014, Geneva The Polarization Monitoring Devices Band-S No.pix1pixw.wav1wav2 1225311.709314.207 2304316.762318.720 33712321.389329.139 4506330.622334.443 5576336.037340.161 68417360.703377.873 71024380.186383.753 811719399.581428.585 913827434.083492.066 1016518494.780548.756 111832552.474556.262 1218711568.070612.869 131989617.867661.893 142184744.112768.269 152242794.080803.072 Radiances & stokes fraction better spatial resolution PMAp is delivered as a GOME PMD product

5 EUMETSAT Meteorological Satellite Conference 22 – 26 September 2014, Geneva PMAp aerosol events: Dust storm event http://www.eumetsat.int/website/home/Images/ImageLibra ry/DAT_2187633.html

6 EUMETSAT Meteorological Satellite Conference 22 – 26 September 2014, Geneva PMAp aerosol events: Volcanic ash plume June 2014 AOD (PMAp) Volcanic ash flag (PMAp)

7 EUMETSAT Meteorological Satellite Conference 22 – 26 September 2014, Geneva Operational monitoring of PMAp using AERONET Stations on islands and selected coastal stations Max temporal difference: 30min, Max spatial difference: 60km Continuous monitoring since January 2014

8 EUMETSAT Meteorological Satellite Conference 22 – 26 September 2014, Geneva Comparisons to AERONET: Results Metop A & B All AERONET station with altitude < 500m Red = all PMAp values, blue = PMAp clear sky values R= 0.79-0.87, R=0.79-0.96 – data selection sensitive AOD (PMAp) AOD (AERONET) AOD (PMAp) METOP-A METOP-B

9 EUMETSAT Meteorological Satellite Conference 22 – 26 September 2014, Geneva Upcoming improvements of the PMAp processor New release Old release  Extended/improved dust detection  AVHRR VIS+NIR+TIR  Cloud free pixels classified dependent on aerosol type  Heterogeneity of the radiance  Wavelength dependence of the heterogeneity  Implementation: 11/2014  Improved calibration AVHRR CH4+5 (Joerg Ackermann) Further improvements in dust detection in PMAp R2 (Q1-2/2015): UV absorbing index, IASI aerosol detection

10 EUMETSAT Meteorological Satellite Conference 22 – 26 September 2014, Geneva PMAp over land: Channel selection AOD PMD / solar reference The contrast between aerosol and surface decrease with increasing wavelength & surface albedo LUT: O. Hasekamp Up to down = low to high wavelength, e. g.: PMD 6 (black, 360-377 nm) PMD 9 (blue, 432-492 nm) PMD 13 (brown, 617-661 nm) PMD15 (violett, 794-803 nm) PMD / solar reference

11 EUMETSAT Meteorological Satellite Conference 22 – 26 September 2014, Geneva PMAp over land: Retrieval overview MERIS/GOME-1, C. Popp et. al. 2011 Clouds/Dust/Volcanic Ash: GOME UV+IASI+AVHRR (w.i.p) Cloud correction factors retrieved around 630nm (GOME+AVHRR) Interpolation of the AOD in the blue range (400-500nm) Bands used to fit aerosol types dependent on surface albedo Albedo: 775nm Albedo: 442nm

12 EUMETSAT Meteorological Satellite Conference 22 – 26 September 2014, Geneva PMAp AOD (preliminary): Metop B (30/08/2013) Ocean = preoperational retrieval Land = test retrieval in development

13 EUMETSAT Meteorological Satellite Conference 22 – 26 September 2014, Geneva PMAp AOD (preliminary): Metop A (30/08/2013) Ocean = preoperational retrieval Land = test retrieval in development

14 EUMETSAT Meteorological Satellite Conference 22 – 26 September 2014, Geneva AOD: PMAp Metop A & B combined AOD (PMAp – METOP A & B) Ocean = preoperational retrieval Land = test retrieval in development

15 EUMETSAT Meteorological Satellite Conference 22 – 26 September 2014, Geneva Conclusions A new aerosol product over ocean from METOP instruments (PMAp) is delivered to our users Pre-operational since Q2/2014 Fully operational status: October 2014 (expected) PMAp is delivered as a GOME-2 product using a multi- instrument approach A new PMAp release providing AOD over land is in development First results look promising Start of pre-operations expected in Q1-2/2015 Operational monitoring of PMAp using AERONET shows convincing results

16 EUMETSAT Meteorological Satellite Conference 22 – 26 September 2014, Geneva Product features: Near real time 3 minutes granules, maximum 3 hours after sensing time Available via EUMETCast in EPS native and netcdf4. Full orbit offline data. Available from the EUMETSAT archive http://archive.eumetsat.int AOD, COD, volcanic ash flag The PMAp product operational implementation Product features Start of dissemination: 29 th April 2014 Documentation (user guide): www.eumetsat.intwww.eumetsat.int > Data > Technical documentation > Metop > PMAp

Download ppt "POLAR MULTI-SENSOR AEROSOL PROPERTIES OVER LAND Michael Grzegorski, Rosemary Munro, Gabriele Poli, Andriy Holdak and Ruediger Lang."

Similar presentations

WP 5 : Clouds & Aerosols L.G. Tilstra and P. Stammes Royal Netherlands Meteorological Institute (KNMI) SCIAvisie Meeting, KNMI, De Bilt, 08-02-2013 Absorbing.

WP 5 : Clouds & Aerosols L.G. Tilstra and P. Stammes Royal Netherlands Meteorological Institute (KNMI) SCIAvisie Meeting, KNMI, De Bilt, Absorbing.
GOME-2 FM3 (Metop-A) Instrument Review, EUMETSAT, Darmstadt, June 2012 Slide: 1 Rűdiger Lang, Rose Munro, Antoine Lacan, Richard Dyer, Marcel Dobber, Christian.

GOME-2 FM3 (Metop-A) Instrument Review, EUMETSAT, Darmstadt, June 2012 Slide: 1 Rűdiger Lang, Rose Munro, Antoine Lacan, Richard Dyer, Marcel Dobber, Christian.
 nm)  nm) PurposeSpatial Resolution (km) 317.51Ozone, SO 2, UV8 3251Ozone8 3403Aerosols, UV, and Volcanic Ash8 3883Aerosols, Clouds, UV and Volcanic.

 nm)  nm) PurposeSpatial Resolution (km) Ozone, SO 2, UV8 3251Ozone8 3403Aerosols, UV, and Volcanic Ash8 3883Aerosols, Clouds, UV and Volcanic.
WP 3: Absorbing Aerosol Index (AAI) WP 10: Level-1 validation L.G. Tilstra 1, I. Aben 2, and P. Stammes 1 1 Royal Netherlands Meteorological Institute.

WP 3: Absorbing Aerosol Index (AAI) WP 10: Level-1 validation L.G. Tilstra 1, I. Aben 2, and P. Stammes 1 1 Royal Netherlands Meteorological Institute.
GEOS-5 Simulations of Aerosol Index and Aerosol Absorption Optical Depth with Comparison to OMI retrievals. V. Buchard, A. da Silva, P. Colarco, R. Spurr.

GEOS-5 Simulations of Aerosol Index and Aerosol Absorption Optical Depth with Comparison to OMI retrievals. V. Buchard, A. da Silva, P. Colarco, R. Spurr.
Slide 1 Atmospheric Chemistry User Workshop, 20th & 21st January 2004, ESTEC EUMETSAT Satellite Application Facility on Ozone Monitoring

Slide 1 Atmospheric Chemistry User Workshop, 20th & 21st January 2004, ESTEC EUMETSAT Satellite Application Facility on Ozone Monitoring
Fusion of SeaWIFS and TOMS Satellite Data with Surface Observations and Topographic Data During Extreme Aerosol Events Stefan Falke and Rudolf Husar Center.

Fusion of SeaWIFS and TOMS Satellite Data with Surface Observations and Topographic Data During Extreme Aerosol Events Stefan Falke and Rudolf Husar Center.
Constraining aerosol sources using MODIS backscattered radiances Easan Drury - G2

Constraining aerosol sources using MODIS backscattered radiances Easan Drury - G2
Menghua Wang NOAA/NESDIS/ORA E/RA3, Room 102, 5200 Auth Rd.

Menghua Wang NOAA/NESDIS/ORA E/RA3, Room 102, 5200 Auth Rd.
Quantifying aerosol direct radiative effect with MISR observations Yang Chen, Qinbin Li, Ralph Kahn Jet Propulsion Laboratory California Institute of Technology,

Quantifying aerosol direct radiative effect with MISR observations Yang Chen, Qinbin Li, Ralph Kahn Jet Propulsion Laboratory California Institute of Technology,
Polar Communications & Weather (PCW) Mission Aurora Borealis.

Polar Communications & Weather (PCW) Mission Aurora Borealis.
Brief Overview of CM-SAF & Possible use of the Data for NCMPs.

Brief Overview of CM-SAF & Possible use of the Data for NCMPs.
GOES-R AEROSOL PRODUCTS AND AND APPLICATIONS APPLICATIONS Ana I. Prados, S. Kondragunta, P. Ciren R. Hoff, K. McCann.

GOES-R AEROSOL PRODUCTS AND AND APPLICATIONS APPLICATIONS Ana I. Prados, S. Kondragunta, P. Ciren R. Hoff, K. McCann.
Lunar Observations of Changes in the Earth’s Albedo (LOCEA) Alexander Ruzmaikin Jet Propulsion Laboratory, California Institute of Technology in collaboration.

Lunar Observations of Changes in the Earth’s Albedo (LOCEA) Alexander Ruzmaikin Jet Propulsion Laboratory, California Institute of Technology in collaboration.
Cooperative Institute for Meteorological Satellite Studies University of Wisconsin - Madison Steve Ackerman Director, Cooperative Institute for Meteorological.

Cooperative Institute for Meteorological Satellite Studies University of Wisconsin - Madison Steve Ackerman Director, Cooperative Institute for Meteorological.
Chapter 2: Satellite Tools for Air Quality Analysis 10:30 – 11:15.

Chapter 2: Satellite Tools for Air Quality Analysis 10:30 – 11:15.
Dust Detection in MODIS Image Spectral Thresholds based on Zhao et al., 2010 Pawan Gupta NASA Goddard Space Flight Center GEST/University of Maryland Baltimore.

Dust Detection in MODIS Image Spectral Thresholds based on Zhao et al., 2010 Pawan Gupta NASA Goddard Space Flight Center GEST/University of Maryland Baltimore.
WP 3: Absorbing Aerosol Index (AAI) WP 10: Level-1 validation L.G. Tilstra 1, I. Aben 2, and P. Stammes 1 1 Royal Netherlands Meteorological Institute.

WP 3: Absorbing Aerosol Index (AAI) WP 10: Level-1 validation L.G. Tilstra 1, I. Aben 2, and P. Stammes 1 1 Royal Netherlands Meteorological Institute.
Quality of the official SCIAMACHY Absorbing Aerosol Index (AAI) level-2 product L.G. Tilstra and P. Stammes Royal Netherlands Meteorological Institute.

Quality of the official SCIAMACHY Absorbing Aerosol Index (AAI) level-2 product L.G. Tilstra and P. Stammes Royal Netherlands Meteorological Institute.
Developing a High Spatial Resolution Aerosol Optical Depth Product Using MODIS Data to Evaluate Aerosol During Large Wildfire Events STI-5701 Jennifer.

Developing a High Spatial Resolution Aerosol Optical Depth Product Using MODIS Data to Evaluate Aerosol During Large Wildfire Events STI-5701 Jennifer.

Similar presentations

Ads by Google