PyTOAST: Python Top Of Atmosphere Simulation Tool

PyTOAST generates simulated top-of-atmosphere Level-1B files for the PACE Ocean ColorInstrument (OCI). PyTOAST utilizes retrieved surface and atmospheric properties and top-ofatmosphere (TOA) radiances from MODIS and VIIRS, pre-computed radiative-transfer look-uptables for the OCI spectral response, and spectral libraries of land and clouds to produce realisticradiometry in the standard Level-1B format (https://oceancolor.gsfc.nasa.gov/data/pace/format/)of OCI. The PyTOAST simulator is computationally efficient, and thus allows for large scaleproduction of multi-day global data distributions with realistic viewing geometries for testing ofretrieval software mechanics and data flow.

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Publication Details

Journal
Maryland Shared Open Access Repository (USMAI Consortium)
Published
2025-12-01
DOI
https://doi.org/10.13016/m29jvu-bkmv
Primary Topic
Atmospheric aerosols and clouds
Type
article
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PyTOAST: Python Top Of Atmosphere Simulation Tool

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Maryland Shared Open Access Repository (USMAI Consortium)
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PyTOAST: Python Top Of Atmosphere Simulation Tool

Sean W. Bailey, Emerson Sirk, Jeremy P. Werdell, Frederick S. Patt, Amir Ibrahim, Bryan A. Franz, Lachlan I. W. McKinna, Andrew Sayer
article en

Abstract

PyTOAST generates simulated top-of-atmosphere Level-1B files for the PACE Ocean ColorInstrument (OCI). PyTOAST utilizes retrieved surface and atmospheric properties and top-ofatmosphere (TOA) radiances from MODIS and VIIRS, pre-computed radiative-transfer look-uptables for the OCI spectral response, and spectral libraries of land and clouds to produce realisticradiometry in the standard Level-1B format (https://oceancolor.gsfc.nasa.gov/data/pace/format/)of OCI. The PyTOAST simulator is computationally efficient, and thus allows for large scaleproduction of multi-day global data distributions with realistic viewing geometries for testing ofretrieval software mechanics and data flow.

Maryland Shared Open Access Repository (USMAI Consortium)
Life below water
Openalex Percentile: Top 32%
Atmospheric aerosols and clouds
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