@InProceedings{RobinsonKoSaKnSwCe:2019:OuAsFu,
               author = "Robinson, Joseph and Kotsakis, Alexander and Santos, Fernando and 
                         Knowland, K. Emma and Swap, Robert and Cede, Alexander",
          affiliation = "{NASA Goddard Space Flight Center} and {NASA Goddard Space Flight 
                         Center} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {NASA Goddard Space Flight Center} and {NASA Goddard Space Flight 
                         Center} and LuftBlick",
                title = "High temporal resolution Pandora observations: An outlook for 
                         assimilating future geostationary platforms into global 
                         reanalyses",
                 year = "2019",
         organization = "AGU Fall Meeting",
             abstract = "Reanalysis datasets are a widely used tool because of their 
                         ability to accurately represent the state of the climate to within 
                         approximately a few weeks of the present. They do this through 
                         assimilating both dynamical and chemical observations, often from 
                         polar-orbiting satellite platforms, into the model framework. 
                         However, the next generation of geostationary atmospheric 
                         composition satellites will present a new set of observations with 
                         enhanced temporal resolution that need to be assimilated. Our goal 
                         is to utilize high temporal resolution Pandora observations in the 
                         northern hemisphere mid-latitudes and identify any biases that 
                         currently exist in two global reanalysis datasets ahead of this 
                         upcoming challenge. Further, we evaluate these biases with an 
                         outlook for the future assimilation of both Pandora and 
                         geostationary platforms. We compare total column ozone from the 
                         NASA MERRA-2 and ESA ERA-5 reanalyses to Pandora observations and 
                         constrain our comparisons by dynamics (e.g., 24-hour pressure 
                         fall) and diurnal variability. We find a marked negative impact on 
                         comparisons with observations during the passage of dynamic 
                         weather patterns. Further, we find a negative impact on 
                         comparisons outside of afternoon satellite overpass times. This 
                         suggests a strong dependence in the models to these overpasses and 
                         that there may be improvement in representing total ozone through 
                         the assimilation of observations with enhanced higher temporal 
                         resolution.",
  conference-location = "San Francisco, CA",
      conference-year = "09-13 dec.",
             language = "en",
           targetfile = "robinson_high.pdf",
        urlaccessdate = "01 maio 2024"
}