Cloud and Sun-glint Statistics Derived from GOES and MODIS Observations Over the Intra-Americas Sea for GEO-CAPE Mission Planning

Lian Feng, Chuanmin Hu, Brian B. Barnes, Antonio Mannino, Andrew K. Heidinger, Kathleen Strabala, Laura T. Iraci

Research output: Contribution to journalArticlepeer-review

Abstract

Knowledge of cloud cover, frequency, and duration is not only important to study cloud dynamics, but also critical in determining when and where to take ocean measurements from geostationary orbits such as the Geostationary Coastal and Air Pollution Events (GEO-CAPE) mission due to the challenges in achieving complete hemispheric coverage of coastal oceans, estuaries, and inland waters at hourly frequency. Using GOES hourly measurements at 4 km nadir resolution between 2006 and 2011, the number of cloud-free hourly observations per day ( N cf ) for solar zenith angle θ o  < 80° was estimated for each 0.1° location of the Intra-Americas Sea. The number of Sun-glint-affected hourly observations per day ( N sg ) was also calculated based on the planned GEO-CAPE observation geometry and realistic wind speed. High-latitude and equatorial oceans showed the lowest N cf (<2.4) in all climatological months, and highest N cf was observed in the Gulf of Mexico (GoM) and Caribbean (>4.5). Different regions showed differences in seasonality of cloud-free conditions and also showed differences in the hour of a day at which the satellite observations would have the maximal cloud-free and glint-free probability ( T max ). Cloud cover from Moderate Resolution Imaging Spectroradiometer (MODIS) 1 km measurements are >10% higher than those from the MODIS 250 m measurements, supporting ocean color missions at subkilometer resolutions to enhance both spatial coverage and temporal frequency. These findings provide valuable information for GEO-CAPE mission planning to maximize its science value through minimizing the impacts of clouds and Sun glint.

Original languageAmerican English
JournalJournal of Geophysical Research: Atmospheres
Volume122
DOIs
StatePublished - Jan 1 2017

Keywords

  • remote sensing
  • ocean color
  • GEO-CAPE
  • cloud
  • Sun glint
  • GOES

Disciplines

  • Life Sciences

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