4.5 Article

GOES-derived fog and low cloud indices for coastal north and central California ecological analyses

Journal

EARTH AND SPACE SCIENCE
Volume 3, Issue 2, Pages 46-67

Publisher

AMER GEOPHYSICAL UNION
DOI: 10.1002/2015EA000119

Keywords

fog; stratocumulus; coastal process; marine stratus; Mediterranean climate; coastal ecosystem

Funding

  1. California Landscape Conservation Cooperative
  2. USGS Climate and Land Use Change Program
  3. Gordon and Betty Moore Foundation

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Fog and low cloud cover (FLCC) strongly influences the water, energy, and nutrient flux of coastal ecosystems. Easy-to-use FLCC data are needed to quantify the impacts of FLCC on ecosystem dynamics especially during hot and dry Mediterranean climate summers. Monthly, annual, and decadal FLCC digital maps (indices) were derived for June-September 1999-2009 for coastal California, latitude 34.50 degrees N (south of Monterey Bay) to latitude 41.95 degrees N (north of Crescent City) from 26,000 hourly night and day Geostationary Operational Environmental Satellite (GOES) images. Monthly average FLCC ranges from <2 to 18hours per day (h/d). Average FLCC over the ocean increases from north (9h/d) to south (14h/d), whereas on land, FLCC is highest where land juts into the prevailing NW winds and is lowest in the lee of major capes. FLCC advects farthest inland through low-lying NW ocean-facing valleys. At night, average total hours of FLCC are higher more frequently on land than over the ocean. The interannual FLCC coefficient of variation shows long-term geographic stability that is strongly associated with landform position. FLCC hours per day mapped contours, derived from decadal average FLCC, delineate the commonly used term fog belt into FLCC zones with increased locational precision. FLCC indices are available for download from the California Landscape Conservation Cooperative Climate Commons website (). FLCC indices can improve analyses of biogeographic and bioclimatic species distribution models; understanding meteorological mechanisms driving FLCC patterns; solar energy feasibility studies; investigations of ecohydrology, evapotranspiration, and agricultural irrigation demand; and viticulture ripening models.

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