scholarly journals Ocean color algorithms to estimate the concentration of particulate organic carbon in surface waters of the global ocean in support of a long-term data record from multiple satellite missions

2022 ◽  
Vol 269 ◽  
pp. 112776
Author(s):  
Dariusz Stramski ◽  
Ishan Joshi ◽  
Rick A. Reynolds
Keyword(s):  
Organic Carbon ◽  
Particulate Organic Carbon ◽  
Surface Waters ◽  
Ocean Color ◽  
Global Ocean ◽  
Data Record ◽  
Satellite Missions ◽  
Term Data

scholarly journals Estimation of the Particulate Organic Carbon to Chlorophyll-a Ratio Using MODIS-Aqua in the East/Japan Sea, South Korea

2020 ◽  
Vol 12 (5) ◽  
pp. 840 ◽  
Author(s):  
Dabin Lee ◽  
SeungHyun Son ◽  
HuiTae Joo ◽  
Kwanwoo Kim ◽  
Myung Joon Kim ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Particulate Organic Carbon ◽  
Chlorophyll A ◽  
Primary Productivity ◽  
Seasonal Variability ◽  
Japan Sea ◽  
Global Ocean ◽  
Phytoplankton Communities

In recent years, the change of marine environment due to climate change and declining primary productivity have been big concerns in the East/Japan Sea, Korea. However, the main causes for the recent changes are still not revealed clearly. The particulate organic carbon (POC) to chlorophyll-a (chl-a) ratio (POC:chl-a) could be a useful indicator for ecological and physiological conditions of phytoplankton communities and thus help us to understand the recent reduction of primary productivity in the East/Japan Sea. To derive the POC in the East/Japan Sea from a satellite dataset, the new regional POC algorithm was empirically derived with in-situ measured POC concentrations. A strong positive linear relationship (R2 = 0.6579) was observed between the estimated and in-situ measured POC concentrations. Our new POC algorithm proved a better performance in the East/Japan Sea compared to the previous one for the global ocean. Based on the new algorithm, long-term POC:chl-a ratios were obtained in the entire East/Japan Sea from 2003 to 2018. The POC:chl-a showed a strong seasonal variability in the East/Japan Sea. The spring and fall blooms of phytoplankton mainly driven by the growth of large diatoms seem to be a major factor for the seasonal variability in the POC:chl-a. Our new regional POC algorithm modified for the East/Japan Sea could potentially contribute to long-term monitoring for the climate-associated ecosystem changes in the East/Japan Sea. Although the new regional POC algorithm shows a good correspondence with in-situ observed POC concentrations, the algorithm should be further improved with continuous field surveys.

Particulate organic carbon in Atlantic surface waters

Nature ◽  
1977 ◽  
Vol 266 (5604) ◽  
pp. 713-716 ◽  
Author(s):  
S. KRISHNASWAMI ◽  
D. LAL
Keyword(s):  
Organic Carbon ◽  
Particulate Organic Carbon ◽  
Surface Waters

Development and Evaluation of a Long‐Term Data Record of Planetary Boundary Layer Profiles From Aircraft Meteorological Reports

2019 ◽  
Vol 124 (4) ◽  
pp. 2008-2030 ◽  
Author(s):  
Yuanjie Zhang ◽  
Dan Li ◽  
Zekun Lin ◽  
Joseph A. Santanello ◽  
Zhiqiu Gao
Keyword(s):  
Boundary Layer ◽  
Planetary Boundary Layer ◽  
Data Record ◽  
Term Data

scholarly journals Summertime Chlorophyll a and Particulate Organic Carbon Standing Stocks in Surface Waters of the Fram Strait and the Arctic Ocean (1991–2015)

2020 ◽  
Vol 7 ◽  
Author(s):  
Eva-Maria Nöthig ◽  
Simon Ramondenc ◽  
Antonie Haas ◽  
Laura Hehemann ◽  
Andreas Walter ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Arctic Ocean ◽  
Particulate Organic Carbon ◽  
Chlorophyll A ◽  
Surface Waters ◽  
The Arctic ◽  
Fram Strait ◽  
The Arctic Ocean ◽  
Standing Stocks

scholarly journals Estimation of Burned Area in the Northeastern Siberian Boreal Forest from a Long-Term Data Record (LTDR) 1982–2015 Time Series

2018 ◽  
Vol 10 (6) ◽  
pp. 940 ◽  
Author(s):  
José García-Lázaro ◽  
José Moreno-Ruiz ◽  
David Riaño ◽  
Manuel Arbelo
Keyword(s):  
Time Series ◽  
Boreal Forest ◽  
Burned Area ◽  
Data Record ◽  
Term Data
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