Skip to main content

Comparison of global chlorophyll climatologies: In situ, CZCS, Blended in situ-CZCS and SeaWiFS

Buy Article:

$63.00 plus tax (Refund Policy)

Abstract:

Chlorophyll climatologies derived from historical in situ data, Coastal Zone Color Scanner data (CZCS) and SeaWiFS (Version 3) data were inter-compared to evaluate their strengths and weaknesses in representing chlorophyll distributions in the global ocean. A fourth dataset, produced by blending in situ data with CZCS data was compared to the other three. Systematic biases were associated with each of these datasets. In situ and CZCS data appeared to underestimate chlorophyll since the blended analysis produced generally elevated values. The underestimate by in situ data is related to problems mostly in the analysis of the data. CZCS underestimates are related to calibration and algorithm problems. The SeaWiFS data for the open ocean appears to be valid since its within 10% of the blended climatology for all seasons except winter. In the coastal ocean, SeaWiFS may overestimate chlorophyll with values 30-77% higher than the next closest climatology. Blending of in situ and satellite may produce the best climatology. This method takes advantage of the higher quality of in situ data, and the spatial variability of satellite sensor data. The blended method may be of greatest use for SeaWiFS in coastal areas, where the algorithm problems are greatest.

Document Type: Research Article

DOI: https://doi.org/10.1080/01431160110115573

Affiliations: 1: Ocean Climate Laboratory, NOAA/National Oceanographic Data Center, E/OC5, Silver Spring, Maryland, 20910-3282, USA; e-mail: mconkright@nodc.noaa.gov 2: Laboratory for Hydrospheric Processes, NASA/Goddard Space Flight Center, Code 971, Greenbelt, Maryland, 20771, USA; email: gregg@cabin.gsfc.nasa.gov

Publication date: 2003-03-01

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more