Phytoplankton Chlorophyll Trends in the Arctic at the Local, Regional, and Pan-Arctic Scales (1998-2022)

被引:0
|
作者
Serra-Pompei, Camila [1 ,2 ]
Dutkiewicz, Stephanie [1 ,3 ]
机构
[1] MIT, Ctr Climate Change Sci, Cambridge, MA 02139 USA
[2] Tech Univ Denmark, Natl Inst Aquat Resources, Kongens Lyngby, Denmark
[3] MIT, Dept Earth Atmospher & Planetary Sci, Cambridge, MA USA
关键词
Arctic phytoplankton; Arctic chlorophyll; phytoplankton trends; satellite remote sensing; satellite ocean color; SEA-ICE; OCEAN;
D O I
10.1029/2024GL110454
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
We analyzed the temporal trends (1998-2022) of surface phytoplankton Chlorophyll (Chl) concentration in the Arctic at the local, regional, and pan-Arctic scales. We used four empirically derived Chl satellite ocean color products: two global merged products and two MODIS products, one calibrated to the Arctic. At the local level, between 10% and 40% of the area with valid pixels showed statistically significant Chl trends, with similar to 2/3 ${\sim} 2/3$ of those pixels showing increases, and the other third indicating a decrease. At the regional level, only the Barents and Chukchi Seas had consistent Chl increases across products. At the pan-Arctic level, most products showed Chl increases in the months of July and September (0.3%-0.9% Chl year-1 ${\text{year}}<^>{-1}$), even after removing the effect of new open water pixels. Overall, Chl is changing in the Arctic, although trends vary threefold depending on the product and spatial-averaging assumptions used.
引用
收藏
页数:10
相关论文
共 27 条
  • [21] Arctic sea ice regional albedo variability and trends, 1982-1998
    Laine, V
    JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2004, 109 (C6) : C060271 - 20
  • [22] Assimilating Copernicus SST Data into a Pan-Arctic Ice-Ocean Coupled Model with a Local SEIK Filter
    Liang, Xi
    Yang, Qinghua
    Nerger, Lars
    Losa, Svetlana N.
    Zhao, Biao
    Zheng, Fei
    Zhang, Lin
    Wu, Lixin
    JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2017, 34 (09) : 1985 - 1999
  • [23] Sea ice floe size: its impact on pan-Arctic and local ice mass and required model complexity
    Bateson, Adam William
    Feltham, Daniel L.
    Schroder, David
    Wang, Yanan
    Hwang, Byongjun
    Ridley, Jeff K.
    Aksenov, Yevgeny
    CRYOSPHERE, 2022, 16 (06): : 2565 - 2593
  • [24] Mapping snow cover in the pan-Arctic zone, using multi-year (1998-2001) images from optical VEGETATION sensor
    Xiao, X
    Zhang, Q
    Boles, S
    Rawlins, M
    Moore, B
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2004, 25 (24) : 5731 - 5744
  • [25] Pan-Arctic Climate and Land Cover Trends Derived from Multi-Variate and Multi-Scale Analyses (1981-2012)
    Urban, Marcel
    Forkel, Matthias
    Eberle, Jonas
    Huettich, Christian
    Schmullius, Christiane
    Herold, Martin
    REMOTE SENSING, 2014, 6 (03) : 2296 - 2316
  • [26] Analysis of Thermal Structure of Arctic Lakes at Local and Regional Scales Using in Situ and Multidate Landsat-8 Data
    Huang, Yan
    Liu, Hongxing
    Hinkel, Kenneth
    Yu, Bailang
    Beck, Richard
    Wu, Jianping
    WATER RESOURCES RESEARCH, 2017, 53 (11) : 9642 - 9658
  • [27] Local analytical optimal nudging for assimilating AMSR2 sea ice concentration in a high-resolution pan-Arctic coupled ocean (HYCOM 2.2.98) and sea ice (CICE 5.1.2) model
    Wang, Keguang
    Ali, Alfatih
    Wang, Caixin
    CRYOSPHERE, 2023, 17 (10): : 4487 - 4510