Global Science &Technology, Inc. (GST), a fast-growing high technology firm is seeking mid to senior scientists for an exciting task at the Satellite Oceanography and Climatology Division at NOAA’s Center for Satellite Technology Applications and Research (STAR). This task involves broad research and application activities for ocean color remote sensing including algorithm development, testing, evaluation, and validation. Selected candidates shall work with the project leader and other members in STAR and other NOAA offices for some (or all) of the specific tasks provided below.
(a) Review ocean color related documentations to study and understand ocean color remote sensing theory, algorithm, and applications; an understanding of instrument calibration is highly desirable.
(b) Sensor on-orbit calibration using solar and lunar approaches, in particular, for all VIIRS routine on-orbit calibrations (i.e., VIIRS on the SNPP and NOAA-20 satellites, as well as futures VIIRS on the JPSS series).
(c) Development and applications of satellite algorithms for water properties, e.g., algorithms for biological and biogeochemical properties, IOPs, PFT, etc.
(d) Become familiar and work with the ocean color data processing system for research and algorithm development, e.g., SeaDAS, MSL12, ADL, for the data processing, data displaying, and data analyses for various satellite data sets (e.g., VIIRS, MODIS, OLCI on Sentinel-3, SGLI on GCOM-C, etc.).
(e) Work with other non-ocean color satellite sensor data (for atmosphere and land purposes), e.g., CALIPSO data, for developing and testing new approaches for remote sensing of ocean properties.
(f) Support the identification and resolution of shortfalls in existing open ocean algorithms for application to coastal regions and identification of new applications and products from satellite measurements specifically for coastal and inland water applications.
(g) Analyze the simulated and satellite data, as well as various in situ data from ocean color and atmosphere to evaluate and improve related algorithm performance.
(h) Contribute documentation related to the project.