The atmospheric circulation and dust activity in different orbital epochs on Mars
SCOPE-Nowcasting / Pilot Project Atmospheric … / Pilot Project Atmospheric Composition Product:...
Transcript of SCOPE-Nowcasting / Pilot Project Atmospheric … / Pilot Project Atmospheric Composition Product:...
SCOPE-Nowcasting / Pilot Project
Atmospheric Composition Product: Aeolian Dust Monitoring
JMA/MSC, MRI
ET-SUP-7, 2013/5/27-30
The Aeolian dust product (Visible and NIR) in JMA
Purpose:Provide the Aeolian dust product for JMA/HQ to
monitor sand and dust storm to issue dust information for mitigation of risks in affected area (e.g. aviation, health
impacts, etc.).
The New Algorithm for Himawari‐8/9 Visible and NIR:‐
Developed by JMA/Meteorological Research Institute (MRI)
and JMA/Meteorological Satellite Center (MSC).‐
Based on the NOAA/NESDIS/GOES‐R/ABI
algorithm for
aerosol.
Current Product (MTSAT , Visible):‐
AOD
over the ocean in daytime
under the clear sky
‐
Validated with surface observation in Japan
New Product (Visible and NIR):‐
AOD
over lands
(new) and the ocean, using 1DVAR
‐
2013 : Experimental retrievals ; the new algorithm with
MODIS observation
as pseudo data
‐
2014‐
: Launch of Himawari‐8,Validated with Himawari‐8’s dataand surface observation around this area
‐
2015 : New product with provisional cloud mask ‐
2016 : Cloud mask with improved quality
Current Algorithm with MTSAT-2 (0300 UTC)
Aeolian Dust Optical Depth01 May 2011
New Algorithm with MODIS/Terra (0253 UTC), without cloud mask
Aeolian Dust Optical Depth01 May 2011
Current Algorithm with MTSAT-2 (0500 UTC)
New Algorithm with MODIS/Terra (0430 UTC), without cloud mask
New algorithm (MODIS) versus Current algorithm (MTSAST‐2)
New Algorithm with MODIS/Terra (0253 UTC, 01 May 2011)
Fine mode weight
Surface reflectance
NDVI
New Algorithm with MODIS/Aqua (0430 UTC, 01 May 2011)
Fine mode weight
Surface reflectance
NDVI
Annex
Retrieve flow (Ocean, Land)
Geo‐location
interpolationSatellite ZA
Solar ZASatellite AZ ‐
Solar AZElevation
Read Parameter
Read Data
Calculate NDVI
LUTSatellite ZA
Solar ZASatellite AZ ‐
Solar AZAOD
Fine mode weightsurface reflectance
LUTAODFine mode weightsurface reflectance
RetrieveAOD, FMW, Surface ref
Save Results
Satellite ZASatellite AZ Solar ZASolar AZ0.64um reflectance0.865 um reflectance2.25 um reflectanceElevationLand/Sea mask
Read LUT LUT
Ocean tableLand table
Retrieve parameters
ResultsAODFine mode weightsurface reflectanceNDVI
LUT(Ocean)
Aerosol modelfine mode (r=0.044um, σ=1.96),coarse mode (r=0.37um, σ=2.37)
(Okada 2001)
Reflectance(Masuda)
Wind speed = 5 m/s
fine mode weight (η)0.0, 0.2, 0.4, 0.6, 0.8, 1.0
Satellite/Solar ZA 72.37, 66.46, 60., 53.09, 45.81,
38.23, 30.43, 22.47, 14.3 (deg)
AOD 0.0, 0.02, 0.04, 0.08, 0.16, 0.32,
0.64, 1.28, 2.56, 5.12
Solar‐Satelliteazimuth differenceevery 10‐degree grid in 0‐180
RTM150 stream Discrete ordinate
Tow atmospheric layers
η1
=0.2
LUT (4D)(θsun
, θsat
, φsun‐sat
, AOD)‐‐‐> (r0.51/0.64
, r0.865
)
η0
=0.0
η5
=1.0
Radiative Transfer CalculationChannel
0.51/0.64, 0.865 (um)
LUT(Land)
Aerosol modelfine mode (r=0.044um, σ=1.96),coarse mode (r=0.37um, σ=2.37)
(Okada 2001)
Surface reflectance (η2.25
)0, 0.05, 0.1, 0.15, 0.2, 0.25, 0.3
Satellite/Solar ZA 72.37, 66.46, 60., 53.09, 45.81,
38.23, 30.43, 22.47, 14.3 (deg)
Solar‐Satelliteazimuth differenceevery 10‐degree grid in 0‐180
RTM150 stream Discrete ordinate
Tow atmospheric layers
ρ2.25
=0.0Radiative Transfer CalculationChannel
0.64, 0.55, 2.25 (um)
ρ2.25
=0.3AOD 0.0, 0.02, 0.04, 0.08, 0.16, 0.32,
0.64, 1.28, 2.56, 5.12
fixed fine mode weight
LUT (4D)(θsun
, θsat
, φsun‐sat
, AOD)‐‐‐> (r0.64
, r0.55
, r2.25
)
ρ2.25
=0.0
ρ2.25
=0.3
Tables for NDVI>=0.1
Tables for NDVI<0.1
ρ0.64
calculationρ0.64
= f(NDVI, ρ2.25
)
Retrieve algorithm (Ocean, Land)
xn
= (AOD,Fine mode weight
,surface reflectance)
LUT yn
= (r0.64,r0.865
,r2.25)
H(xn
)
K
: Jacobian
Matrix
MODIS Channels
Band Bandwidth Central wave
length
Corresponding
Himawari channel
1 0.620 –
0.670 0.646 0.64
2 0.841 –
0.876 0.855 0.865
7 2.105 –
2.155 2.119 2.25