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


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, NOAA, NOAA Chief Data Officer, Asheville, NC, UNITED STATES
Chairs:  Krisa M Arzayus, National Weather Service Silver Spring, Silver Spring, MD, United States and Sheekela Baker-Yeboah, 54-1619 MIT, Cambridge, MA, United States
Moderators:  Krisa M Arzayus, National Weather Service Silver Spring, Silver Spring, MD, United States, Edward Joseph Kearns, NOAA, NOAA Chief Data Officer, Asheville, NC, UNITED STATES and Sheekela Baker-Yeboah, 54-1619 MIT, Cambridge, MA, United States
Student Paper Review Liaisons:  Edward Joseph Kearns, NOAA, NOAA Chief Data Officer, Asheville, NC, UNITED STATES and Krisa M Arzayus, National Weather Service Silver Spring, Silver Spring, MD, United States
Index Terms:

1616 Climate variability [GLOBAL CHANGE]
1916 Data and information discovery [INFORMATICS]
4215 Climate and interannual variability [OCEANOGRAPHY: GENERAL]
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:

 
PC34A-2159
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
 
PC34A-2161
Regional Ocean Climatologies: A New Line of Ocean Climate Research Tools (87101)
Alexey V Mishonov1,2, Krisa M Arzayus2, Olga Baranova2, Tim Boyer2, Arthur Rost Parsons2 and Dan Seidov2, (1)Cooperative Institute for Climate and Satellites University of Maryland, College Park, MD, United States, (2)National Centers for Environmental Information (formerly NODC), NESDIS/NOAA, Silver Spring, MD, United States
 
PC34A-2162
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 Banzon1, Gang Liu2, Karin Forney3, Elizabeth Becker3, Krisa M Arzayus4 and Liqiang Sun5, (1)NOAA National Centers for Environmental Information, Asheville, NC, United States, (2)NOAA, Boulder, CO, United States, (3)NOAA Southwest Fisheries Science Center, Marine Mammal and Turtle Division, Santa Cruz, CA, United States, (4)National Weather Service Silver Spring, Silver Spring, MD, United States, (5)North Carolina State University, Asheville, NC, United States
 
PC34A-2163
Pathfinder Sea Surface Temperature Climate Data Record (92126)
Sheekela Baker-Yeboah1, Korak Saha2, Dexin Zhang2 and Kenneth S Casey3, (1)NOAA/NESDIS/National Centers for Environmental Information (NCEI) and the Cooperative Institute for Climate Studies at the University of Maryland, Silver Spring, MD, United States, (2)National Centers for Environmental Information-NOAA, Silver Spring, MD, United States, (3)NOAA National Centers for Environmental Information, NCEI, Silver Spring, MD, United States
 
PC34A-2165
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
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