Chesapeake Bay ProgramEntry ID: epa_cbprogram
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Abstract: EPAs Chesapeake Bay Program Office coordinates the goals of the
Chesapeake Bay Program (CBP) with the other offices located in EPA's
regional office in Philadelphia, Pennsylvania. The CBP is a unique
regional partnership leading and directing restoration of the
Chesapeake Bay. Our mission is to lead and empower others to protect
and restore the Chesapeake Bay ecosystem for future generations. The
... CBP was formed to provide coordination and support the goals of the
historic Chesapeake Bay Agreement of 1983. On June 28, 2000, the
Chesapeake Executive Council signed Chesapeake 2000 - a comprehensive
and far-reaching Bay agreement that will guide Maryland, Pennsylvania,
Virginia, the District of Columbia, the Chesapeake Bay Commission and
the U.S. Environmental Protection Agency (EPA) in their combined
efforts to restore and protect the Chesapeake Bay. The Chesapeake 2000
agreement guides the Bay Program partnership efforts through the year
Information was obtained from http://www.chesapeakebay.net/
The Chesapeake Bay Program is a unique regional partnership that has
led and directed the restoration of the Chesapeake Bay since 1983.
The Chesapeake Bay Program partners include the states of Maryland,
Pennsylvania and Virginia; the District of Columbia; the Chesapeake
Bay Commission, a tri-state legislative body; the Environmental
Protection Agency, representing the federal government; and
participating citizen advisory groups.
The Chesapeake Bay Program highlights databases including the
CBP Water Quality Database, the CBI Water Quality Database, the CBP
Toxics Database, Alliance Citizen Monitoring Database,
(Click for Interactive Map)
Data Set Citation
Dataset Originator/Creator: U.S. Environmental Protection Agency
Dataset Title: Chesapeake Bay Program
Dataset Release Date: 1983
Dataset Release Place: Philadelphia, PA
Dataset Publisher: U.S. Environmental Protection AgencyOnline Resource: http://www.chesapeakebay.net/
Start Date: 1983-01-01
BIOSPHERE > VEGETATION > BIOMASS
BIOSPHERE > VEGETATION > CHLOROPHYLL
BIOSPHERE > VEGETATION > NUTRIENTS
BIOSPHERE > VEGETATION > VEGETATION SPECIES
HUMAN DIMENSIONS > ENVIRONMENTAL IMPACTS > CONTAMINANT LEVELS/SPILLS
HUMAN DIMENSIONS > HABITAT CONVERSION/FRAGMENTATION > EUTROPHICATION
HUMAN DIMENSIONS > HABITAT CONVERSION/FRAGMENTATION > RECLAMATION/REVEGETATION/RESTORATION
HUMAN DIMENSIONS > ENVIRONMENTAL GOVERNANCE/MANAGEMENT > WATER MANAGEMENT
HUMAN DIMENSIONS > ENVIRONMENTAL GOVERNANCE/MANAGEMENT > ENVIRONMENTAL ASSESSMENTS
HUMAN DIMENSIONS > ENVIRONMENTAL IMPACTS > CONSERVATION
BIOLOGICAL CLASSIFICATION > ANIMALS/VERTEBRATES > BIRDS
BIOLOGICAL CLASSIFICATION > ANIMALS/VERTEBRATES
BIOLOGICAL CLASSIFICATION > ANIMALS/VERTEBRATES > AMPHIBIANS
BIOLOGICAL CLASSIFICATION > ANIMALS/INVERTEBRATES > ARTHROPODS > CRUSTACEANS
BIOLOGICAL CLASSIFICATION > ANIMALS/INVERTEBRATES > MOLLUSKS
BIOLOGICAL CLASSIFICATION > PLANTS > ALGAE
BIOLOGICAL CLASSIFICATION > PLANTS > SUBMERGED AQUATIC VEGETATION
BIOLOGICAL CLASSIFICATION > PLANTS
BIOSPHERE > AQUATIC ECOSYSTEMS > PLANKTON > ZOOPLANKTON
BIOSPHERE > AQUATIC ECOSYSTEMS > PLANKTON > PHYTOPLANKTON
BIOSPHERE > AQUATIC ECOSYSTEMS > COASTAL HABITAT
BIOSPHERE > AQUATIC ECOSYSTEMS > MARINE HABITAT
BIOSPHERE > ECOLOGICAL DYNAMICS > SPECIES/POPULATION INTERACTIONS > ENDANGERED SPECIES
BIOSPHERE > ECOLOGICAL DYNAMICS > SPECIES/POPULATION INTERACTIONS > POPULATION DYNAMICS
BIOSPHERE > ECOLOGICAL DYNAMICS > SPECIES/POPULATION INTERACTIONS > EXOTIC SPECIES
BIOSPHERE > ECOLOGICAL DYNAMICS > ECOSYSTEM FUNCTIONS > NUTRIENT CYCLING
BIOSPHERE > ECOLOGICAL DYNAMICS > ECOSYSTEM FUNCTIONS > PHOTOSYNTHESIS
BIOSPHERE > ECOLOGICAL DYNAMICS > ECOSYSTEM FUNCTIONS > BIOMASS DYNAMICS
BIOSPHERE > ECOLOGICAL DYNAMICS > ECOSYSTEM FUNCTIONS > PRIMARY PRODUCTION
BIOSPHERE > ECOLOGICAL DYNAMICS > ECOSYSTEM FUNCTIONS > TROPHIC DYNAMICS
BIOSPHERE > ECOLOGICAL DYNAMICS > ECOSYSTEM FUNCTIONS > OXYGEN DEMAND
BIOSPHERE > ECOLOGICAL DYNAMICS > ECOTOXICOLOGY > TOXICITY LEVELS
ISO Topic Category
Quality Although most bad data are easily identifiable and removed with little ambiguity, human judgments must be made and applied consistently to the time series data. While efforts were made to minimize errors in judgment and inconsistencies, the resulting data set is not perfect. Nevertheless, the data provider feels that these maps are suitable for some types of research studies, such as basin-scale ... trend analysis, model inputs, and some regional studies. They are less useful in evaluating conditions on a specific day in a localized region. NSIDC staff visually checked the entire set of data files, including file structure, comparisons to existing SMMR- and SSM/I-derived sea ice concentration grids, and information files and examination of data quality. Please note that in this document, a large fraction of the text was supplied by the data set provider. It may include qualitative judgments and statements by the provider and does not necessarily represent endorsements or imply that independent assessments have been performed by NSIDC staff. Limitations of the Data Basic limitations arise from the sensor resolution, temporal coverage, and algorithm assumptions and characteristics. Users should review the information provided on fields of view, temporal sampling, and algorithm characteristics. Particular care is needed in interpreting the sea ice concentrations during summer when melt is underway and in regions where new sea ice makes up a substantial part of the sea ice cover. As noted, some residual errors remain due to sensor differences and to weather effects along with mixing of ocean and land area within the sensor field of view. No data coverage is available for regions poleward of 81° N for SMMR and 87° N for SSM/I due to the inclination of the orbits. SMMR data were acquired every other day, while SSM/I data are acquired daily.
Data Set Progress
Distribution Media: FTP
Distribution Size: 205 KB
Distribution Format: binary
Distribution Media: FTP
Distribution Size: 266 KB
Distribution Format: binary
Role: TECHNICAL CONTACT
Phone: +1 (303) 492-6199
Fax: +1 (303) 492-2468
Email: nsidc at nsidc.org
National Snow and Ice Data Center CIRES, 449 UCB University of Colorado
Province or State: CO
Postal Code: 80309-0449
Phone: 301 614-5708
Email: josefino.c.comiso at nasa.gov
Laboratory for Hydrospheric Processes Cryospheric Sciences Branch NASA/Goddard Space Flight Center Code 614
Province or State: MD
Postal Code: 20771
Cho, K., N. Sasaki, H. Shimoda, T. Sakata, and F. Nishio. 1996. Evaluation and Improvement of SSM/I Sea Ice Concentration Algorithms for the Sea of Okhotsk. Journal Remote Sensing of Japan 16(2):47-58.
Comiso, J. C., and F. Nishio. 2008. Trends in the Sea Ice Cover Using Enhanced and Compatible AMSR-E, SSM/I, and SMMR Data. Journal of Geophysical Research 113, C02S07, doi:10.1029/2007JC0043257. ...
Comiso, J. C., D. Cavalieri, C. Parkinson, and P. Gloersen. 1997. Passive Microwave Algorithms for Sea Ice Concentrations: A Comparison of Two Techniques. Remote Sensing of the Environment 60(3):357-84.
Comiso, J. C., and R. Kwok. 1996. The Summer Arctic Sea Ice Cover from Satelli Observations. Journal of Geophysical Research 101(C2):28,397-416.
Comiso, J. C. 1995. SSM/I Concentrations Using the Bootstrap Algorithm. NASA Reference Publication 1380. 40 pages.
Comiso, J. C, T. C. Grenfell, M. Lange, A. Lohanick, R. Moore, and P. Wadhams. 1992. Microwave Remote Sensing of the Southern Ocean Ice Cover. Microwave Remote Sensing of Sea Ice, ed. Frank Carsey. Washington D.C.: American Geophysical Union. 243-59.
Comiso, J. C. and C. W. Sullivan. 1986. Satellite Microwave and In-Situ Observations of the Weddell Sea ice Cover and its Marginal Ice Zone. Journal of Geophysical Research 91(C8):9,663-81.
Comiso, J. C. 1984. Characteristics of Winter Sea Ice from Satellite Multispectral Microwave Observations. Journal of Geophysical Research 91(C1):975-94.
Comiso, J. C., S. F. Ackley, and A. L. Gordon. 1984. Antarctic Sea Ice Microwave Signature and Their Correlation with In-Situ Ice Observations. Journal of Geophysical Research 89(C1):662-72.
Gloersen P., W. Campbell, D. Cavalieri, J. Comiso, C. Parkinson, H. J. Zwally. 1992. Arctic and Antarctic Sea Ice, 1978-1987: Satellite Passive Microwave Observations and Analysis. NASA Special Publication 511.
Maslanik, J. A. 1992. Effects of Weather on the Retrieval of Sea Ice Concentration and Ice Type from Passive Microwave Data. International Journal of Remote Sensing 13(1):37-54.
National Snow and Ice Data Center. 1992. DMSP SSM/I Brightness Temperature and Sea Ice Concentration Grids for the Polar Regions on CD-ROM - User's Guide. NSIDC Special Report - 1. 222 pp.
Parkinson, C. L., D. J. Cavalieri, P. Gloersen, H. J. Zwally, and J. C. Comiso, 1999. Arctic Sea Ice Extents, Areas, and Trends, 1978-1996. Journal of Geophysical Research 104(C9), 20,837-20,856.
Parkinson, C. L., J. C. Comiso, H. J. Zwally, D. J. Cavalieri, P. Gloersen, and W. J. Campbell. 1987. Arctic Sea Ice 1973-1976 from Satellite Passive Microwave Observations. NASA Special Publication 489.
Pearson, F. 1990. Map Projections: Theory and Applications. Boca Raton, FL:CRC Press. 372 pages.
Snyder, J. P. 1987. Map Projections - A Working Manual. U.S. Geological Survey Professional Paper 1395. Washington, D.C.:U.S. Government Printing Office. 383 pages.
Snyder, J. P. 1982. Map Projections used by the U.S. Geological Survey. U.S. Geological Survey Bulletin 1532.
Zwally, H. J., J. C. Comiso, C. L. Parkinson, W. J. Campbell, F. D. Carsey, and P. Gloersen. 1983. Antarctic Sea Ice 1973-1976 from Satellite Passive Microwave Observations. NASA Special Publication 459.
Extended Metadata Properties
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Creation and Review Dates
DIF Creation Date: 2000-02-02
Last DIF Revision Date: 2012-05-14