PC34A:
Applications of Climate Data Records for the Benefit of Ocean Sciences, Marine Ecosystems, and Coastal Communities Posters

Submit an Abstract to this Session

Session ID#: 8178

Session Description:
Many dozens of Climate Data Records (CDRs) have been produced and distributed by the scientific community over the last decade from in situ and remotely-sensed observations of the ocean, atmosphere, and cryosphere. These CDRs are of a sufficient quality and duration to accurately describe one or more components of the variability of Earth's climate. Submissions are encouraged that elaborate on the use of these CDRs in both basic research and the applied sciences. Such uses include, but are not limited to, guiding new air-sea research activities, evaluation of impacts of climate change on coastal ecosystems, the creation of new combined or derived information products, the analysis of extreme events, informing new public policies for coastal communities, and enabling applications that realize specific societal benefits. Contributors are encouraged to share their best practices and lessons learned from their experiences creating, using, and sharing CDRs as well as their results based on CDRs.
Primary Chair:  Edward Joseph Kearns, First Street, New York, United States
Chairs:  Krisa M Arzayus, Ph.D., National Weather Service Silver Spring, Silver Spring, MD, United States and Sheekela Baker-Yeboah, 54-1619 MIT, Cambridge, United States
Moderators:  Krisa M Arzayus, Ph.D., National Weather Service Silver Spring, Silver Spring, MD, United States, Edward Joseph Kearns, First Street, New York, United States and Sheekela Baker-Yeboah, 54-1619 MIT, Cambridge, United States
Student Paper Review Liaisons:  Edward Joseph Kearns, First Street, New York, United States and Krisa M Arzayus, Ph.D., National Weather Service Silver Spring, Silver Spring, MD, United States
Index Terms:
Co-Sponsor(s):
  • A - Air-sea Interactions and Upper Ocean Processes
  • EC - Estuarine and Coastal
  • HI - Human Use and Impacts
  • OD - Ocean Observing and Data Management

Abstracts Submitted to this Session:

 
Use of homogeneity tests for the detection of inhomogeneities in climate data: Case of some meteorological stations throughout Cameroon (67244)
Dommo Atanas and Romeo Chamani, University of Yaounde 1, department of Physic, Yaounde, Cameroon
 
Regional Ocean Climatologies: A New Line of Ocean Climate Research Tools (87101)
Alexey V Mishonov1,2, Krisa M Arzayus, Ph.D.2, Olga Baranova2, Tim Boyer3, Arthur Rost Parsons2 and Dan Seidov2, (1)Cooperative Institute for Satellite Earth System Studies, University of Maryland, College Park, United States, (2)National Centers for Environmental Information (formerly NODC), NESDIS/NOAA, Silver Spring, MD, United States, (3)National Centers for Environmental Information, NESDIS/NOAA, Silver Spring, United States
 
Use of a Blended Satellite and In situ Sea Surface Temperature Climate Data Record for Evaluating Long-term Impacts on Coral and Marine Mammal Communities (89958)
Patria Viva F Banzon, NOAA National Centers for Environmental Information, Asheville, NC, United States, Gang Liu, NOAA, Boulder, CO, United States, Karin Forney, NOAA Southwest Fisheries Science Center, Marine Mammal and Turtle Division, Moss Landing, United States, Elizabeth Becker, NOAA Southwest Fisheries Science Center, Marine Mammal and Turtle Division, La Jolla, United States, Krisa M Arzayus, Ph.D., National Weather Service Silver Spring, Silver Spring, MD, United States and Liqiang Sun, NOAA Geophysical Fluid Dynamics Laboratory, Princeton, United States
 
Pathfinder Sea Surface Temperature Climate Data Record (92126)
Sheekela Baker-Yeboah, NOAA/NESDIS/National Centers for Environmental Information (NCEI) and the Cooperative Institute for Climate Studies at the University of Maryland, Silver Spring, United States, Korak Saha, National Centers for Environmental Information-NOAA, Silver Spring, United States, Dexin Zhang, GST Inc., NOAA/NESDIS/STAR, College Park, United States and Kenneth S Casey, NOAA National Centers for Environmental Information, NCEI, Silver Spring, MD, United States
 
A Statistical Simulation Model for Global Mean Sea Level from Altimetry and Tide Gauge Reconstructions (93666)
Gary T Mitchum and Yingli Zhu, University of South Florida Tampa, College of Marine Science, Tampa, FL, United States