Improved Ozone and Carbon Monoxide Profile Retrievals Using Multispectral Measurements from NASA “A Train”, NPP, and TROPOMI Satellites

Wednesday, 16 December 2015: 17:45
2018 (Moscone West)
Dejian Fu1, Kevin W Bowman1, Susan Sund Kulawik1, Kazuyuki Miyazaki2, John R Worden1, Helen Marie Worden3, Nathaniel J Livesey1, Vivienne Payne1, Ming Luo1, Vijay Natraj1, Pepijn Veefkind4, Ilse Aben5, Jochen Landgraf6, Lawrence E Flynn7, Yong Han7, Xiong Liu8, Lawrence Larrabee Strow9 and Le Kuai10, (1)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (2)JAMSTEC Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan, (3)National Center for Atmospheric Research, Boulder, CO, United States, (4)Royal Netherlands Meteorological Institute, De Bilt, Netherlands, (5)Netherlands Institute for Space Research, Utrecht, 3584, Netherlands, (6)Netherlands Institute for Space Research, Utrecht, Netherlands, (7)NOAA/NESDIS/STAR, College Park, MD, United States, (8)Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, United States, (9)University of Maryland Baltimore County, Baltimore, MD, United States, (10)University of California Los Angeles, Los Angeles, CA, United States
Tropospheric ozone is at the juncture of air quality and climate. Ozone directly impacts human and plant health, and directly forces the climate system through absorption of thermal radiation. Carbon monoxide is a chemical precursor of greenhouse gases CO2 and tropospheric O3, and is also an ideal tracer of transport processes due to its medium life time (weeks to months).

The Aqua-AIRS and Aura-OMI instruments in the NASA “A-Train”, CrIS and OMPS instruments on the NOAA Suomi-NPP, IASI and GOME-2 on METOP and TROPOMI aboard the Sentinel 5 precursor (S5p) have the potential to provide the synoptic chemical and dynamical context for ozone necessary to quantify long-range transport at global scales and to provide an anchor to the near-term constellation of geostationary sounders: NASA TEMPO, ESA Sentinel 4, and the Korean GEMS. We introduce the JPL MUlti-SpEctral, MUlti-SpEcies, MUlti-SatEllite (MUSES) retrieval algorithm, which ingests panspectral observations across multiple platforms in a non-linear optimal estimation framework. MUSES incorporates advances in remote sensing science developed during the EOS-Aura era including rigorous error analysis diagnostics and observation operators needed for trend analysis, climate model evaluation, and data assimilation. Its performance has been demonstrated through prototype studies for multi-satellite missions (AIRS, CrIS, TROPOMI, TES, OMI, and OMPS). We present joint tropospheric ozone retrievals from AIRS/OMI and CrIS/OMPS over global scales, and demonstrate the potential of joint carbon monoxide profiles from TROPOMI/CrIS. These results indicate that ozone can be retrieved with ~2 degrees of freedom for signal (dofs) in the troposphere, which is similar to TES. Joint CO profiles have dofs similar to the MOPITT multispectral retrieval but with higher spatial resolution and coverage. Consequently, multispectral retrievals show promise in providing continuity with NASA EOS observations and pave the way towards a new advanced atmospheric composition constellation.