Data Management Plan for the California LCC project:

Ecologically Relevant Pacific Coastal Fog Datasets

Table of Contents
Data Input - New Collections
      (nothing in this category)

Data Input - Existing Collections
  1   GOES Low-Cloud/Fog product--CIRA (Cooperative Institute for Research in the Atmosphere)

Data Output - Product or Deliverables
  1   Decadal Fog and Low Cloud Frequency Spatial Dataset
  2   Marine fog: A review
  3   Monthly fog and low cloud frequency spatial dataset
  4   SF Bay Area Map of Average Summertime Hours of Fog & Low Clouds Per Day
  5   Coastal Fog, Climate Change, and the Environment

Not Data - non-data Products
  1   Article in March 2014 issue of Estuary News
  2   The Pacific Coastal Fog Project Workshop
  3   Webinars
  4   Public Presentations
  5   GOES-derived fog and low cloud indices for coastal north and central California ecological analyses
  6   @KarlTheFog Has Been Mapped!

Data Input - Existing Collections
1 GOES Low-Cloud/Fog product--CIRA (Cooperative Institute for Research in the Atmosphere)
DescriptionNote: This dataset is no longer available; it was lost in a disk crash. It's documented here as part of the process used in creating other datasets. The Low-Cloud/Fog satellite imagery product was developed at CIRA (Cooperative Institute for Research in the Atmosphere) to assist in the design of algorithms for GOES-R, the next generation weather satellite scheduled for a 2015 orbit. The Low-Cloud/Fog layer is computed from two GOES Imager bands , the 3.9um (shortwave) and 10.7 um (longwave) infrared window bands. The reflected component of the shortwave infrared window band is the key to the product. In the shortwave portion of the spectrum, ice clouds and snow are not very reflective, unlike water-droplet clouds which are highly reflective. This characteristic leads to an easy way to distinguish between ice and water clouds. Although this distinction is seen in the shortwave infrared window band alone, subtracting the emitted component of the shortwave highlights/enhances the reflected component for the user of this product. The GOES Low-Cloud/Fog product cannot by itself distinguish between a low cloud and a fog layer (where the latter is simply a low cloud whose base is in contact with the surface). Low clouds cannot be seen when high clouds obscure the lower clouds below. Especially at night, thin cirrus will appear black and can mask low clouds. The Pacific Coastal Fog project alleviated the severity of this constraint by limiting the use of the Low-Cloud/Fog product to summer months when fog and low stratus clouds are the predominant atmospheric feature.
FormatMcIdas Area Format
Processing and WorkflowKidder, S.Q., D.W. Hillger, A.J. Mostek, and K.J. Schrab, 2000: Two simple GOES Imager products for improved weather analysis and forecasting. Nat. Wea. Dig., 24(4), (December), 25-30.
MetadataFGDC
Volume Estimate7 GB
Archive OrganizationsCIRA (Cooperative Institute for Research in the Atmosphere)
CitationCombs, C.L., Blier, W., Strach, W., DeMaria, M., 2004. Exploring the timing of fog formation and dissipation over San Francisco Bay area using satellite cloud composites. 13th Conf. Satellite Meteorology and Oceanography, Norfolk, VA,. accessed October 12, 2012 https://ams.confex.com/ams/13SATMET/techprogram/paper_78778.htm
ContactCIRA (Cooperative Institute for Research in the Atmosphere)

Data Output - Product or Deliverables
1Decadal Fog and Low Cloud Frequency Spatial Dataset
Deliverable TypeDatasets / Database
DescriptionThis Fog/Low-Cloud dataset is a subset of the CIRA (Cooperative Institute for Research in the Atmosphere) Low-Cloud/Fog Product. It is limited to hourly imagery for the months of May, June, July, August, and September for years 1999-2009. Some data are missing from the archive due to satellite or other operational malfunction.
FormatESRI raster grids
Processing and WorkflowThese files were converted from McIdas Area Format into geographic coordinate grids.
Commons Cataloged DatasetDecadal Summertime Fog & Coastal Low Cloud Dataset for North and Central Coastal California for 1999-2009

2Marine fog: A review
Deliverable TypePublication
DescriptionKoračin, Darko, Clive E. Dorman, John M. Lewis, James G. Hudson, Eric M. Wilcox, and Alicia Torregrosa. "Marine fog: A review." Atmospheric Research 143 (2014): 142-175.
DOIDOI: 10.1016/j.atmosres.2013.12.012

3Monthly fog and low cloud frequency spatial dataset
Deliverable TypeDatasets / Database
DescriptionThis dataset contains the average hours of fog per day for the north and central California coast for each summer month (June, July, August, September) of each year. It was derived from eleven years of hourly GOES images collected and processed into maps of cloud cover by the Cooperative Institute for Research in the Atmosphere (CIRA) as part of their Low-Cloud/Fog GOES-R Proving Ground Product.
Commons Cataloged DatasetMonthly Summertime Fog & Coastal Low Cloud Cover Dataset for North and Central Coastal California from 1999-2009

4SF Bay Area Map of Average Summertime Hours of Fog & Low Clouds Per Day
Deliverable TypeMap
DescriptionFog and low cloud cover (FLCC), is very important for coastal California during the seasonally arid Meiterranean climate summer month s (June – September). The low stratus and stratocumulus clouds form ov er the ocean, adv ec t onsh ore as fog and low clouds altering the water, energy, and nutrient flux of coastal ecosystem s. Precisely located fog belt zones an be used to quantify the impacts of FLCC on ecosystem dynamics. The water and shade cover that FLCC provides during hot and dry summer periods is especially critical for endan ered species such as coho salmon. This contour map shows average daily summertime hours in 30 minute intervals. More than 26,000 hours of weather satellite imagery from 1999 to 2009 were used to generate the contours. The Cooperative Institute for Research on the Atmosphere classified the imagery into hourly cloud maps using the satellite sensor data in the visible, shortwave, and near infrared bands and USGS compressed the data to make th is map. For more details see: Torregrosa, A., C. Comb s, and J. Peters (2016), GOES-derived fog and low loud indices for coastal north and central California ecological analyses, Earth and Space Science, 3, doi:10.1002/2015EA000119.

5Coastal Fog, Climate Change, and the Environment
Deliverable TypePublication
DescriptionTo climate scientists, marine fog’s physical opacity symbolizes how much remains to be discovered about the atmospheric phenomenon. This article outlines what is known and unknown about fog and its relationship with climate change.

Not Data - non-data Products
1Article in March 2014 issue of Estuary News
Deliverable TypePublication : Article
DescriptionArticle in San Francisco Estuary Partnerships' March 2014 issue of Estuary News magazine.
Linkhttp://climate.calcommons.org/sites/default/files/CALCC-Mar2014-EstuaryNews.pdf

2The Pacific Coastal Fog Project Workshop
Deliverable TypeTraining / Outreach / Workshop
DescriptionThis workshop brought together a multidisciplinary group of scientists and natural resource managers to assess current understanding of coastal fog as a system of interacting ocean, air, and land surface processes.
Linkhttp://geography.wr.usgs.gov/fog/archive.html
Contactatorregrosa@usgs.gov

3Webinars
Deliverable TypeTraining / Outreach / Workshop : Webinar
DescriptionThese WebEx recordings, like the Pacific Coastal Fog Project presentations and posters, are documents of the process of creating common knowledge.
Linkhttp://geography.wr.usgs.gov/fog/archive.html

4Public Presentations
Deliverable TypePresentation
DescriptionThese presentations and posters, like the WebEx recordings, are also documents of the process of creating common knowledge.
Linkhttp://geography.wr.usgs.gov/fog/archive4.html
Contactatorregrosa@usgs.gov

5GOES-derived fog and low cloud indices for coastal north and central California ecological analyses
Deliverable TypePublication
DescriptionPeer-reviewed journal article.

6@KarlTheFog Has Been Mapped!
DescriptionArticle in BayGeo Journal.
Linkhttp://journal.baygeo.org/karlthefog/

This Data Management Plan structure is based on recommendations from the Data Management Plan Guidance document from the National Climate Change and Wildlife Science Center