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ACSPO AVHRR Aerosol Product at NESDIS. ACSPO = Advanced Clear Sky-Processor for Oceans. Operational at NESDIS since May 2008 Three ACSPO products from AVHRR Clear-Sky Radiances (in all bands) SSTs (from Earth Emission Bands 3B, 4, 5) AODs (from Solar Reflectance Bands 1, 2, 3A)
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ACSPO AVHRR Aerosol Product at NESDIS • ACSPO = Advanced Clear Sky-Processor for Oceans. Operational at NESDIS since May 2008 • Three ACSPO products from AVHRR • Clear-Sky Radiances (in all bands) • SSTs (from Earth Emission Bands 3B, 4, 5) • AODs (from Solar Reflectance Bands 1, 2, 3A) • Clear-Sky Mask: CRTM simulations in Earth Emission Bands (with minimal use of SRBs) • Aerosol Algorithm: NESDIS heritage single channel (independent retrievals in 3 bands; Rao et al, 1989; Stowe et al, 1997; Ignatov et al, 2004) NOAA-19 AOD @0.63 µm MetOp-A AOD @0.63 µm NOAA-18 AOD @0.63 µm
Monitoring of IR Clear-sky Radiances over Oceans for SST (MICROS): Toward minimizing M-O bias by using NAAPS/NRL aerosol model http://www.star.nesdis.noaa.gov/sod/sst/micros/ • MICROS compares AVHRR Clear-Sky Ocean Brightness Temperatures from NOAA-16, -17, -18, -19, and MetOp-A with Community Radiative Transfer Model (CRTM) simulations, in near-real time • Adding Terra and Aqua MODIS and NPP VIIRS is underway • Positive “Model minus Observation” (M-O) biases persist in all AVHRR bands and during the full monitoring period • Part of this positive bias is due to aerosol which is presently unaccounted for in CRTM M-O biases in AVHRR Ch3B at night • NRL/NESDIS collaboration: • Use NRL/NAAPS aerosol 3D fields as input to CRTM, simulate AOD and TOA Brightness Temperatures • Publish result in MICROS & AQUAM, provide feedback to NRL • Use NESDIS/ACSPO AOD L2 product as input to NAAPS, provide feedback to NESDIS • Expected improvements: ACSPO AOD L2 product; NAAPS 3D analysis fields; global M-O bias in MICROS
Aerosol Quality Monitor (AQUAM) Under Development Initial Goal: Establish AQUAM to Check AVHRR & MODIS aerosol products for Self- and Cross-Consistency Check Satellite & Model (NAAPS) AODs for Self- and Cross-Consistency Excessive scatter in AVHRR AODs: ACSPO QC needs improvement τ @0.83µm Time series of Aerosol Optical Depth @ 0.63 µm AVHRR τ @0.63µm τ @0.83µm http://www.star.nesdis.noaa.gov/sod/sst/aquam/ MODIS τ @0.63µm Ultimate Goal: Correct BTs for effects of aerosols, using CRTM & NAAPS 3D fields Reduce M-O BT bias in MICROS & Improve SST
AOD Global Ocean Coverage ACSPO vs. MYD04 Aqua MYD04 Metop-A ACSPO • GAC 4 km data aggregated to 0.1° • 2.3×105 AOD pixels • 4.9% ocean covered at 1day×0.1° resolution • MYD04 10 km data aggregated to 0.1° • 0.7×105 AOD pixels (Cloud: 0-30%; QAC>=3) • 1.6%oceancovered at 1day×0.1° resolution At 0.1° resolution, ACSPO covers a factor of ~3 more ocean than MO(Y)D04 However, QC in ACSPO data should be improved