1 Descriptive Section

1.1 Indicator category

[1] “Food-Web-Base”

1.2 Indicator name

Phytoplankton

Includes variable(s): ANNUAL_CHLOR_A_MEDIAN, ANNUAL_CHLOR_A_RATIO_ANOMALY, ANNUAL_PPD_MEDIAN, ANNUAL_PSC_FMICRO_DIFFERENCE_ANOMALY, ANNUAL_PSC_FMICRO_MEDIAN, ANNUAL_PSC_FNANO_DIFFERENCE_ANOMALY, ANNUAL_PSC_FNANO_MEDIAN, ANNUAL_PSC_FPICO_DIFFERENCE_ANOMALY, ANNUAL_PSC_FPICO_MEDIAN, ANNUAL_PSC_MICRO_MEDIAN, ANNUAL_PSC_MICRO_RATIO_ANOMALY, ANNUAL_PSC_NANO_MEDIAN, ANNUAL_PSC_NANO_RATIO_ANOMALY, ANNUAL_PSC_PICO_MEDIAN, ANNUAL_PSC_PICO_RATIO_ANOMALY, CLIMATOLOGICAL_MONTH_CHLOR_A_MEDIAN, CLIMATOLOGICAL_MONTH_PPD_MEDIAN, CLIMATOLOGICAL_MONTH_PSC_FMICRO_MEDIAN, CLIMATOLOGICAL_MONTH_PSC_FNANO_MEDIAN, CLIMATOLOGICAL_MONTH_PSC_FPICO_MEDIAN, CLIMATOLOGICAL_MONTH_PSC_MICRO_MEDIAN, CLIMATOLOGICAL_MONTH_PSC_NANO_MEDIAN, CLIMATOLOGICAL_MONTH_PSC_PICO_MEDIAN, CLIMATOLOGICAL_WEEK_CHLOR_A_MEDIAN, CLIMATOLOGICAL_WEEK_PPD_MEDIAN, CLIMATOLOGICAL_WEEK_PSC_FMICRO_MEDIAN, CLIMATOLOGICAL_WEEK_PSC_FNANO_MEDIAN, CLIMATOLOGICAL_WEEK_PSC_FPICO_MEDIAN, CLIMATOLOGICAL_WEEK_PSC_MICRO_MEDIAN, CLIMATOLOGICAL_WEEK_PSC_NANO_MEDIAN, CLIMATOLOGICAL_WEEK_PSC_PICO_MEDIAN, LONGTERM_ANNUAL_CHLOR_A_MEDIAN, LONGTERM_ANNUAL_PPD_MEDIAN, LONGTERM_ANNUAL_PSC_FMICRO_MEDIAN, LONGTERM_ANNUAL_PSC_FNANO_MEDIAN, LONGTERM_ANNUAL_PSC_FPICO_MEDIAN, LONGTERM_ANNUAL_PSC_MICRO_MEDIAN, LONGTERM_ANNUAL_PSC_NANO_MEDIAN, LONGTERM_ANNUAL_PSC_PICO_MEDIAN, MONTHLY_CHLOR_A_MEDIAN, MONTHLY_CHLOR_A_RATIO_ANOMALY, MONTHLY_PPD_MEDIAN, MONTHLY_PPD_RATIO_ANOMALY, MONTHLY_PSC_FMICRO_DIFFERENCE_ANOMALY, MONTHLY_PSC_FMICRO_MEDIAN, MONTHLY_PSC_FNANO_DIFFERENCE_ANOMALY, MONTHLY_PSC_FNANO_MEDIAN, MONTHLY_PSC_FPICO_DIFFERENCE_ANOMALY, MONTHLY_PSC_FPICO_MEDIAN, MONTHLY_PSC_MICRO_MEDIAN, MONTHLY_PSC_MICRO_RATIO_ANOMALY, MONTHLY_PSC_NANO_MEDIAN, MONTHLY_PSC_NANO_RATIO_ANOMALY, MONTHLY_PSC_PICO_MEDIAN, MONTHLY_PSC_PICO_RATIO_ANOMALY, WEEKLY_CHLOR_A_MEDIAN, WEEKLY_CHLOR_A_RATIO_ANOMALY, WEEKLY_PPD_MEDIAN, WEEKLY_PPD_RATIO_ANOMALY, WEEKLY_PSC_FMICRO_DIFFERENCE_ANOMALY, WEEKLY_PSC_FMICRO_MEDIAN, WEEKLY_PSC_FNANO_DIFFERENCE_ANOMALY, WEEKLY_PSC_FNANO_MEDIAN, WEEKLY_PSC_FPICO_DIFFERENCE_ANOMALY, WEEKLY_PSC_FPICO_MEDIAN, WEEKLY_PSC_MICRO_MEDIAN, WEEKLY_PSC_MICRO_RATIO_ANOMALY, WEEKLY_PSC_NANO_MEDIAN, WEEKLY_PSC_NANO_RATIO_ANOMALY, WEEKLY_PSC_PICO_MEDIAN, WEEKLY_PSC_PICO_RATIO_ANOMALY

1.3 Indicator brief description

Satellite derived phytoplankton data including chlorophyll concentration, primary production, and phytoplankton size class for the Northeast Continental Shelf and ecological production units.

1.4 Indicator visualization

The seasonal cycle of phytoplankton biomass typically includes peaks during the winter-spring and fall seasons and minimums during the summer months, however exact bloom timing varies by region. Primary productivity, increases during bloom periods due to increased biomass, but peaks during the summer months when daylight and temperatures are greatest. In 2024, concentrations of chlorophyll a (a proxy for biomass) were above average during the winter-spring and fall bloom periods in all regions. There was no evidence of a repeat of the widespread Tripos muelleri bloom observed in 2023. There was, however, an atypical localized coccolithophore bloom south of Long Island, New York in late June to early July. Mid-Atlantic primary production peaked in early summer in 2024 and was above average in late fall, which is attributed to the above average late fall bloom. Georges Bank fall productivity was also above average due to the abnormally large fall phytoplankton bloom. Conversely, the Gulf of Maine spring bloom accounted for the largest above average spike in that region. The seasonal cycles of phytoplankton size distribution are typically dominated by larger-celled microplankton (> 20 um) during the winter-spring and fall bloom periods, while smaller-celled nanoplankton (0.2-20 um) dominate during the warmer summer months. The smallest phytoplankton group, picoplankton (<0.2 um), represent the smallest fraction of the phytoplankton community in the region. Phytoplankton size class distributions were near average for most of the year, except during the early fall bloom. The 2024 phytoplankton size class distribution was near the seasonal climatology in all regions except during the above average phytoplankton bloom periods. There is high interannual variability of the seasonal phytoplankton cycle. At the monthly scale, MAB chlorophyll and primary production are increasing during January, suggesting that the fall bloom period is extending into early winter. The significant decrease in MAB chlorophyll in September chlorophyll is likely related to warmer temperatures persisting into early fall and increased nutrient limitation. Fall and winter chlorophyll and primary production are increasing on Georges Bank and Gulf of Maine.

## [1] "Size plots are only available for the weekly scale."

## [1] "Size plots are only available for the weekly scale."
## [1] "Size plots are only available for the weekly scale."

2 SMART Attribute Section

2.1 Indicator documentation

2.1.1 Are indicators available for others to use (data downloadable)?

Yes

2.1.1.1 Where can indicators be found?

Data: https://noaa-edab.github.io/ecodata/index.html

Description: https://noaa-edab.github.io/catalog/chl_pp.html

Technical documentation: https://noaa-edab.github.io/tech-doc/chl_pp.html

2.1.1.2 How often are they updated? Are future updates likely?

[need sequential look at datasets for update frequency. Future requires judgement]

2.1.1.3 Who is the contact?

kimberly.hyde@noaa.gov

2.1.2 Gather indicator statistics

2.1.2.1 Units

Indicator	Units
ANNUAL_CHLOR_A_MEDIAN	mg m^-3
ANNUAL_CHLOR_A_RATIO_ANOMALY	mg m^-3
ANNUAL_PPD_MEDIAN	gcarbon/m^2/day
ANNUAL_PSC_FMICRO_DIFFERENCE_ANOMALY	percent
ANNUAL_PSC_FMICRO_MEDIAN	percent
ANNUAL_PSC_FNANO_DIFFERENCE_ANOMALY	percent
ANNUAL_PSC_FNANO_MEDIAN	percent
ANNUAL_PSC_FPICO_DIFFERENCE_ANOMALY	percent
ANNUAL_PSC_FPICO_MEDIAN	percent
ANNUAL_PSC_MICRO_MEDIAN	mg m^-3
ANNUAL_PSC_MICRO_RATIO_ANOMALY	mg m^-3
ANNUAL_PSC_NANO_MEDIAN	mg m^-3
ANNUAL_PSC_NANO_RATIO_ANOMALY	mg m^-3
ANNUAL_PSC_PICO_MEDIAN	mg m^-3
ANNUAL_PSC_PICO_RATIO_ANOMALY	mg m^-3
CLIMATOLOGICAL_MONTH_CHLOR_A_MEDIAN	mg m^-3
CLIMATOLOGICAL_MONTH_PPD_MEDIAN	gcarbon/m^2/day
CLIMATOLOGICAL_MONTH_PSC_FMICRO_MEDIAN	percent
CLIMATOLOGICAL_MONTH_PSC_FNANO_MEDIAN	percent
CLIMATOLOGICAL_MONTH_PSC_FPICO_MEDIAN	percent
CLIMATOLOGICAL_MONTH_PSC_MICRO_MEDIAN	mg m^-3
CLIMATOLOGICAL_MONTH_PSC_NANO_MEDIAN	mg m^-3
CLIMATOLOGICAL_MONTH_PSC_PICO_MEDIAN	mg m^-3
CLIMATOLOGICAL_WEEK_CHLOR_A_MEDIAN	mg m^-3
CLIMATOLOGICAL_WEEK_PPD_MEDIAN	gcarbon/m^2/day
CLIMATOLOGICAL_WEEK_PSC_FMICRO_MEDIAN	percent
CLIMATOLOGICAL_WEEK_PSC_FNANO_MEDIAN	percent
CLIMATOLOGICAL_WEEK_PSC_FPICO_MEDIAN	percent
CLIMATOLOGICAL_WEEK_PSC_MICRO_MEDIAN	mg m^-3
CLIMATOLOGICAL_WEEK_PSC_NANO_MEDIAN	mg m^-3
CLIMATOLOGICAL_WEEK_PSC_PICO_MEDIAN	mg m^-3
LONGTERM_ANNUAL_CHLOR_A_MEDIAN	mg m^-3
LONGTERM_ANNUAL_PPD_MEDIAN	gcarbon/m^2/day
LONGTERM_ANNUAL_PSC_FMICRO_MEDIAN	percent
LONGTERM_ANNUAL_PSC_FNANO_MEDIAN	percent
LONGTERM_ANNUAL_PSC_FPICO_MEDIAN	percent
LONGTERM_ANNUAL_PSC_MICRO_MEDIAN	mg m^-3
LONGTERM_ANNUAL_PSC_NANO_MEDIAN	mg m^-3
LONGTERM_ANNUAL_PSC_PICO_MEDIAN	mg m^-3
MONTHLY_CHLOR_A_MEDIAN	mg m^-3
MONTHLY_CHLOR_A_RATIO_ANOMALY	mg m^-3
MONTHLY_PPD_MEDIAN	gcarbon/m^2/day
MONTHLY_PPD_RATIO_ANOMALY	gcarbon/m^2/day
MONTHLY_PSC_FMICRO_DIFFERENCE_ANOMALY	percent
MONTHLY_PSC_FMICRO_MEDIAN	percent
MONTHLY_PSC_FNANO_DIFFERENCE_ANOMALY	percent
MONTHLY_PSC_FNANO_MEDIAN	percent
MONTHLY_PSC_FPICO_DIFFERENCE_ANOMALY	percent
MONTHLY_PSC_FPICO_MEDIAN	percent
MONTHLY_PSC_MICRO_MEDIAN	mg m^-3
MONTHLY_PSC_MICRO_RATIO_ANOMALY	mg m^-3
MONTHLY_PSC_NANO_MEDIAN	mg m^-3
MONTHLY_PSC_NANO_RATIO_ANOMALY	mg m^-3
MONTHLY_PSC_PICO_MEDIAN	mg m^-3
MONTHLY_PSC_PICO_RATIO_ANOMALY	mg m^-3
WEEKLY_CHLOR_A_MEDIAN	mg m^-3
WEEKLY_CHLOR_A_RATIO_ANOMALY	mg m^-3
WEEKLY_PPD_MEDIAN	gcarbon/m^2/day
WEEKLY_PPD_RATIO_ANOMALY	gcarbon/m^2/day
WEEKLY_PSC_FMICRO_DIFFERENCE_ANOMALY	percent
WEEKLY_PSC_FMICRO_MEDIAN	percent
WEEKLY_PSC_FNANO_DIFFERENCE_ANOMALY	percent
WEEKLY_PSC_FNANO_MEDIAN	percent
WEEKLY_PSC_FPICO_DIFFERENCE_ANOMALY	percent
WEEKLY_PSC_FPICO_MEDIAN	percent
WEEKLY_PSC_MICRO_MEDIAN	mg m^-3
WEEKLY_PSC_MICRO_RATIO_ANOMALY	mg m^-3
WEEKLY_PSC_NANO_MEDIAN	mg m^-3
WEEKLY_PSC_NANO_RATIO_ANOMALY	mg m^-3
WEEKLY_PSC_PICO_MEDIAN	mg m^-3
WEEKLY_PSC_PICO_RATIO_ANOMALY	mg m^-3

2.1.2.2 Length of time series, start and end date, periodicity

General overview: Daily, weekly, monthly, annual, climatology (1998 to 2020)

Indicator specifics:

Indicator	EPU	StartYear	EndYear	NumYears	MissingYears
ANNUAL_CHLOR_A_MEDIAN	GB	1998	2024	27	0
ANNUAL_CHLOR_A_MEDIAN	GOM	1998	2024	27	0
ANNUAL_CHLOR_A_MEDIAN	MAB	1998	2024	27	0
ANNUAL_CHLOR_A_RATIO_ANOMALY	GB	1998	2024	27	0
ANNUAL_CHLOR_A_RATIO_ANOMALY	GOM	1998	2024	27	0
ANNUAL_CHLOR_A_RATIO_ANOMALY	MAB	1998	2024	27	0
ANNUAL_PPD_MEDIAN	GB	1998	2024	27	0
ANNUAL_PPD_MEDIAN	GOM	1998	2024	27	0
ANNUAL_PPD_MEDIAN	MAB	1998	2024	27	0
ANNUAL_PSC_FMICRO_DIFFERENCE_ANOMALY	GB	1998	2024	27	0
ANNUAL_PSC_FMICRO_DIFFERENCE_ANOMALY	GOM	1998	2024	27	0
ANNUAL_PSC_FMICRO_DIFFERENCE_ANOMALY	MAB	1998	2024	27	0
ANNUAL_PSC_FMICRO_MEDIAN	GB	1998	2024	27	0
ANNUAL_PSC_FMICRO_MEDIAN	GOM	1998	2024	27	0
ANNUAL_PSC_FMICRO_MEDIAN	MAB	1998	2024	27	0
ANNUAL_PSC_FNANO_DIFFERENCE_ANOMALY	GB	1998	2024	27	0
ANNUAL_PSC_FNANO_DIFFERENCE_ANOMALY	GOM	1998	2024	27	0
ANNUAL_PSC_FNANO_DIFFERENCE_ANOMALY	MAB	1998	2024	27	0
ANNUAL_PSC_FNANO_MEDIAN	GB	1998	2024	27	0
ANNUAL_PSC_FNANO_MEDIAN	GOM	1998	2024	27	0
ANNUAL_PSC_FNANO_MEDIAN	MAB	1998	2024	27	0
ANNUAL_PSC_FPICO_DIFFERENCE_ANOMALY	GB	1998	2024	27	0
ANNUAL_PSC_FPICO_DIFFERENCE_ANOMALY	GOM	1998	2024	27	0
ANNUAL_PSC_FPICO_DIFFERENCE_ANOMALY	MAB	1998	2024	27	0
ANNUAL_PSC_FPICO_MEDIAN	GB	1998	2024	27	0
ANNUAL_PSC_FPICO_MEDIAN	GOM	1998	2024	27	0
ANNUAL_PSC_FPICO_MEDIAN	MAB	1998	2024	27	0
ANNUAL_PSC_MICRO_MEDIAN	GB	1998	2024	27	0
ANNUAL_PSC_MICRO_MEDIAN	GOM	1998	2024	27	0
ANNUAL_PSC_MICRO_MEDIAN	MAB	1998	2024	27	0
ANNUAL_PSC_MICRO_RATIO_ANOMALY	GB	1998	2024	27	0
ANNUAL_PSC_MICRO_RATIO_ANOMALY	GOM	1998	2024	27	0
ANNUAL_PSC_MICRO_RATIO_ANOMALY	MAB	1998	2024	27	0
ANNUAL_PSC_NANO_MEDIAN	GB	1998	2024	27	0
ANNUAL_PSC_NANO_MEDIAN	GOM	1998	2024	27	0
ANNUAL_PSC_NANO_MEDIAN	MAB	1998	2024	27	0
ANNUAL_PSC_NANO_RATIO_ANOMALY	GB	1998	2024	27	0
ANNUAL_PSC_NANO_RATIO_ANOMALY	GOM	1998	2024	27	0
ANNUAL_PSC_NANO_RATIO_ANOMALY	MAB	1998	2024	27	0
ANNUAL_PSC_PICO_MEDIAN	GB	1998	2024	27	0
ANNUAL_PSC_PICO_MEDIAN	GOM	1998	2024	27	0
ANNUAL_PSC_PICO_MEDIAN	MAB	1998	2024	27	0
ANNUAL_PSC_PICO_RATIO_ANOMALY	GB	1998	2024	27	0
ANNUAL_PSC_PICO_RATIO_ANOMALY	GOM	1998	2024	27	0
ANNUAL_PSC_PICO_RATIO_ANOMALY	MAB	1998	2024	27	0
CLIMATOLOGICAL_MONTH_CHLOR_A_MEDIAN	GB	119982020	1219972020	12	1099989989
CLIMATOLOGICAL_MONTH_CHLOR_A_MEDIAN	GOM	119982020	1219972020	12	1099989989
CLIMATOLOGICAL_MONTH_CHLOR_A_MEDIAN	MAB	119982020	1219972020	12	1099989989
CLIMATOLOGICAL_MONTH_PPD_MEDIAN	GB	119982020	1219972020	12	1099989989
CLIMATOLOGICAL_MONTH_PPD_MEDIAN	GOM	119982020	1219972020	12	1099989989
CLIMATOLOGICAL_MONTH_PPD_MEDIAN	MAB	119982020	1219972020	12	1099989989
CLIMATOLOGICAL_MONTH_PSC_FMICRO_MEDIAN	GB	119982020	1219972020	12	1099989989
CLIMATOLOGICAL_MONTH_PSC_FMICRO_MEDIAN	GOM	119982020	1219972020	12	1099989989
CLIMATOLOGICAL_MONTH_PSC_FMICRO_MEDIAN	MAB	119982020	1219972020	12	1099989989
CLIMATOLOGICAL_MONTH_PSC_FNANO_MEDIAN	GB	119982020	1219972020	12	1099989989
CLIMATOLOGICAL_MONTH_PSC_FNANO_MEDIAN	GOM	119982020	1219972020	12	1099989989
CLIMATOLOGICAL_MONTH_PSC_FNANO_MEDIAN	MAB	119982020	1219972020	12	1099989989
CLIMATOLOGICAL_MONTH_PSC_FPICO_MEDIAN	GB	119982020	1219972020	12	1099989989
CLIMATOLOGICAL_MONTH_PSC_FPICO_MEDIAN	GOM	119982020	1219972020	12	1099989989
CLIMATOLOGICAL_MONTH_PSC_FPICO_MEDIAN	MAB	119982020	1219972020	12	1099989989
CLIMATOLOGICAL_MONTH_PSC_MICRO_MEDIAN	GB	119982020	1219972020	12	1099989989
CLIMATOLOGICAL_MONTH_PSC_MICRO_MEDIAN	GOM	119982020	1219972020	12	1099989989
CLIMATOLOGICAL_MONTH_PSC_MICRO_MEDIAN	MAB	119982020	1219972020	12	1099989989
CLIMATOLOGICAL_MONTH_PSC_NANO_MEDIAN	GB	119982020	1219972020	12	1099989989
CLIMATOLOGICAL_MONTH_PSC_NANO_MEDIAN	GOM	119982020	1219972020	12	1099989989
CLIMATOLOGICAL_MONTH_PSC_NANO_MEDIAN	MAB	119982020	1219972020	12	1099989989
CLIMATOLOGICAL_MONTH_PSC_PICO_MEDIAN	GB	119982020	1219972020	12	1099989989
CLIMATOLOGICAL_MONTH_PSC_PICO_MEDIAN	GOM	119982020	1219972020	12	1099989989
CLIMATOLOGICAL_MONTH_PSC_PICO_MEDIAN	MAB	119982020	1219972020	12	1099989989
CLIMATOLOGICAL_WEEK_CHLOR_A_MEDIAN	GB	119982020	5219972020	52	5099989949
CLIMATOLOGICAL_WEEK_CHLOR_A_MEDIAN	GOM	119982020	5219972020	52	5099989949
CLIMATOLOGICAL_WEEK_CHLOR_A_MEDIAN	MAB	119982020	5219972020	52	5099989949
CLIMATOLOGICAL_WEEK_PPD_MEDIAN	GB	119982020	5219972020	52	5099989949
CLIMATOLOGICAL_WEEK_PPD_MEDIAN	GOM	119982020	5219972020	52	5099989949
CLIMATOLOGICAL_WEEK_PPD_MEDIAN	MAB	119982020	5219972020	52	5099989949
CLIMATOLOGICAL_WEEK_PSC_FMICRO_MEDIAN	GB	119982020	5219972020	52	5099989949
CLIMATOLOGICAL_WEEK_PSC_FMICRO_MEDIAN	GOM	119982020	5219972020	52	5099989949
CLIMATOLOGICAL_WEEK_PSC_FMICRO_MEDIAN	MAB	119982020	5219972020	52	5099989949
CLIMATOLOGICAL_WEEK_PSC_FNANO_MEDIAN	GB	119982020	5219972020	52	5099989949
CLIMATOLOGICAL_WEEK_PSC_FNANO_MEDIAN	GOM	119982020	5219972020	52	5099989949
CLIMATOLOGICAL_WEEK_PSC_FNANO_MEDIAN	MAB	119982020	5219972020	52	5099989949
CLIMATOLOGICAL_WEEK_PSC_FPICO_MEDIAN	GB	119982020	5219972020	52	5099989949
CLIMATOLOGICAL_WEEK_PSC_FPICO_MEDIAN	GOM	119982020	5219972020	52	5099989949
CLIMATOLOGICAL_WEEK_PSC_FPICO_MEDIAN	MAB	119982020	5219972020	52	5099989949
CLIMATOLOGICAL_WEEK_PSC_MICRO_MEDIAN	GB	119982020	5219972020	52	5099989949
CLIMATOLOGICAL_WEEK_PSC_MICRO_MEDIAN	GOM	119982020	5219972020	52	5099989949
CLIMATOLOGICAL_WEEK_PSC_MICRO_MEDIAN	MAB	119982020	5219972020	52	5099989949
CLIMATOLOGICAL_WEEK_PSC_NANO_MEDIAN	GB	119982020	5219972020	52	5099989949
CLIMATOLOGICAL_WEEK_PSC_NANO_MEDIAN	GOM	119982020	5219972020	52	5099989949
CLIMATOLOGICAL_WEEK_PSC_NANO_MEDIAN	MAB	119982020	5219972020	52	5099989949
CLIMATOLOGICAL_WEEK_PSC_PICO_MEDIAN	GB	119982020	5219972020	52	5099989949
CLIMATOLOGICAL_WEEK_PSC_PICO_MEDIAN	GOM	119982020	5219972020	52	5099989949
CLIMATOLOGICAL_WEEK_PSC_PICO_MEDIAN	MAB	119982020	5219972020	52	5099989949
LONGTERM_ANNUAL_CHLOR_A_MEDIAN	GB	19982020	19982020	1	0
LONGTERM_ANNUAL_CHLOR_A_MEDIAN	GOM	19982020	19982020	1	0
LONGTERM_ANNUAL_CHLOR_A_MEDIAN	MAB	19982020	19982020	1	0
LONGTERM_ANNUAL_PPD_MEDIAN	GB	19982020	19982020	1	0
LONGTERM_ANNUAL_PPD_MEDIAN	GOM	19982020	19982020	1	0
LONGTERM_ANNUAL_PPD_MEDIAN	MAB	19982020	19982020	1	0
LONGTERM_ANNUAL_PSC_FMICRO_MEDIAN	GB	19982020	19982020	1	0
LONGTERM_ANNUAL_PSC_FMICRO_MEDIAN	GOM	19982020	19982020	1	0
LONGTERM_ANNUAL_PSC_FMICRO_MEDIAN	MAB	19982020	19982020	1	0
LONGTERM_ANNUAL_PSC_FNANO_MEDIAN	GB	19982020	19982020	1	0
LONGTERM_ANNUAL_PSC_FNANO_MEDIAN	GOM	19982020	19982020	1	0
LONGTERM_ANNUAL_PSC_FNANO_MEDIAN	MAB	19982020	19982020	1	0
LONGTERM_ANNUAL_PSC_FPICO_MEDIAN	GB	19982020	19982020	1	0
LONGTERM_ANNUAL_PSC_FPICO_MEDIAN	GOM	19982020	19982020	1	0
LONGTERM_ANNUAL_PSC_FPICO_MEDIAN	MAB	19982020	19982020	1	0
LONGTERM_ANNUAL_PSC_MICRO_MEDIAN	GB	19982020	19982020	1	0
LONGTERM_ANNUAL_PSC_MICRO_MEDIAN	GOM	19982020	19982020	1	0
LONGTERM_ANNUAL_PSC_MICRO_MEDIAN	MAB	19982020	19982020	1	0
LONGTERM_ANNUAL_PSC_NANO_MEDIAN	GB	19982020	19982020	1	0
LONGTERM_ANNUAL_PSC_NANO_MEDIAN	GOM	19982020	19982020	1	0
LONGTERM_ANNUAL_PSC_NANO_MEDIAN	MAB	19982020	19982020	1	0
LONGTERM_ANNUAL_PSC_PICO_MEDIAN	GB	19982020	19982020	1	0
LONGTERM_ANNUAL_PSC_PICO_MEDIAN	GOM	19982020	19982020	1	0
LONGTERM_ANNUAL_PSC_PICO_MEDIAN	MAB	19982020	19982020	1	0
MONTHLY_CHLOR_A_MEDIAN	GB	199801	202412	324	2288
MONTHLY_CHLOR_A_MEDIAN	GOM	199801	202412	324	2288
MONTHLY_CHLOR_A_MEDIAN	MAB	199801	202412	324	2288
MONTHLY_CHLOR_A_RATIO_ANOMALY	GB	199801	202412	324	2288
MONTHLY_CHLOR_A_RATIO_ANOMALY	GOM	199801	202412	324	2288
MONTHLY_CHLOR_A_RATIO_ANOMALY	MAB	199801	202412	324	2288
MONTHLY_PPD_MEDIAN	GB	199801	202412	324	2288
MONTHLY_PPD_MEDIAN	GOM	199801	202412	324	2288
MONTHLY_PPD_MEDIAN	MAB	199801	202412	324	2288
MONTHLY_PPD_RATIO_ANOMALY	GB	199801	202412	324	2288
MONTHLY_PPD_RATIO_ANOMALY	GOM	199801	202412	324	2288
MONTHLY_PPD_RATIO_ANOMALY	MAB	199801	202412	324	2288
MONTHLY_PSC_FMICRO_DIFFERENCE_ANOMALY	GB	199801	202412	324	2288
MONTHLY_PSC_FMICRO_DIFFERENCE_ANOMALY	GOM	199801	202412	324	2288
MONTHLY_PSC_FMICRO_DIFFERENCE_ANOMALY	MAB	199801	202412	324	2288
MONTHLY_PSC_FMICRO_MEDIAN	GB	199801	202412	324	2288
MONTHLY_PSC_FMICRO_MEDIAN	GOM	199801	202412	324	2288
MONTHLY_PSC_FMICRO_MEDIAN	MAB	199801	202412	324	2288
MONTHLY_PSC_FNANO_DIFFERENCE_ANOMALY	GB	199801	202412	324	2288
MONTHLY_PSC_FNANO_DIFFERENCE_ANOMALY	GOM	199801	202412	324	2288
MONTHLY_PSC_FNANO_DIFFERENCE_ANOMALY	MAB	199801	202412	324	2288
MONTHLY_PSC_FNANO_MEDIAN	GB	199801	202412	324	2288
MONTHLY_PSC_FNANO_MEDIAN	GOM	199801	202412	324	2288
MONTHLY_PSC_FNANO_MEDIAN	MAB	199801	202412	324	2288
MONTHLY_PSC_FPICO_DIFFERENCE_ANOMALY	GB	199801	202412	324	2288
MONTHLY_PSC_FPICO_DIFFERENCE_ANOMALY	GOM	199801	202412	324	2288
MONTHLY_PSC_FPICO_DIFFERENCE_ANOMALY	MAB	199801	202412	324	2288
MONTHLY_PSC_FPICO_MEDIAN	GB	199801	202412	324	2288
MONTHLY_PSC_FPICO_MEDIAN	GOM	199801	202412	324	2288
MONTHLY_PSC_FPICO_MEDIAN	MAB	199801	202412	324	2288
MONTHLY_PSC_MICRO_MEDIAN	GB	199801	202412	324	2288
MONTHLY_PSC_MICRO_MEDIAN	GOM	199801	202412	324	2288
MONTHLY_PSC_MICRO_MEDIAN	MAB	199801	202412	324	2288
MONTHLY_PSC_MICRO_RATIO_ANOMALY	GB	199801	202412	324	2288
MONTHLY_PSC_MICRO_RATIO_ANOMALY	GOM	199801	202412	324	2288
MONTHLY_PSC_MICRO_RATIO_ANOMALY	MAB	199801	202412	324	2288
MONTHLY_PSC_NANO_MEDIAN	GB	199801	202412	324	2288
MONTHLY_PSC_NANO_MEDIAN	GOM	199801	202412	324	2288
MONTHLY_PSC_NANO_MEDIAN	MAB	199801	202412	324	2288
MONTHLY_PSC_NANO_RATIO_ANOMALY	GB	199801	202412	324	2288
MONTHLY_PSC_NANO_RATIO_ANOMALY	GOM	199801	202412	324	2288
MONTHLY_PSC_NANO_RATIO_ANOMALY	MAB	199801	202412	324	2288
MONTHLY_PSC_PICO_MEDIAN	GB	199801	202412	324	2288
MONTHLY_PSC_PICO_MEDIAN	GOM	199801	202412	324	2288
MONTHLY_PSC_PICO_MEDIAN	MAB	199801	202412	324	2288
MONTHLY_PSC_PICO_RATIO_ANOMALY	GB	199801	202412	324	2288
MONTHLY_PSC_PICO_RATIO_ANOMALY	GOM	199801	202412	324	2288
MONTHLY_PSC_PICO_RATIO_ANOMALY	MAB	199801	202412	324	2288
WEEKLY_CHLOR_A_MEDIAN	GB	199801	202452	1404	1248
WEEKLY_CHLOR_A_MEDIAN	GOM	199801	202452	1404	1248
WEEKLY_CHLOR_A_MEDIAN	MAB	199801	202452	1404	1248
WEEKLY_CHLOR_A_RATIO_ANOMALY	GB	199801	202452	1404	1248
WEEKLY_CHLOR_A_RATIO_ANOMALY	GOM	199801	202452	1404	1248
WEEKLY_CHLOR_A_RATIO_ANOMALY	MAB	199801	202452	1404	1248
WEEKLY_PPD_MEDIAN	GB	199801	202452	1404	1248
WEEKLY_PPD_MEDIAN	GOM	199801	202452	1403	1249
WEEKLY_PPD_MEDIAN	MAB	199801	202452	1404	1248
WEEKLY_PPD_RATIO_ANOMALY	GB	199801	202452	1404	1248
WEEKLY_PPD_RATIO_ANOMALY	GOM	199801	202452	1403	1249
WEEKLY_PPD_RATIO_ANOMALY	MAB	199801	202452	1404	1248
WEEKLY_PSC_FMICRO_DIFFERENCE_ANOMALY	GB	199801	202452	1404	1248
WEEKLY_PSC_FMICRO_DIFFERENCE_ANOMALY	GOM	199801	202452	1404	1248
WEEKLY_PSC_FMICRO_DIFFERENCE_ANOMALY	MAB	199801	202452	1404	1248
WEEKLY_PSC_FMICRO_MEDIAN	GB	199801	202452	1404	1248
WEEKLY_PSC_FMICRO_MEDIAN	GOM	199801	202452	1404	1248
WEEKLY_PSC_FMICRO_MEDIAN	MAB	199801	202452	1404	1248
WEEKLY_PSC_FNANO_DIFFERENCE_ANOMALY	GB	199801	202452	1404	1248
WEEKLY_PSC_FNANO_DIFFERENCE_ANOMALY	GOM	199801	202452	1404	1248
WEEKLY_PSC_FNANO_DIFFERENCE_ANOMALY	MAB	199801	202452	1404	1248
WEEKLY_PSC_FNANO_MEDIAN	GB	199801	202452	1404	1248
WEEKLY_PSC_FNANO_MEDIAN	GOM	199801	202452	1404	1248
WEEKLY_PSC_FNANO_MEDIAN	MAB	199801	202452	1404	1248
WEEKLY_PSC_FPICO_DIFFERENCE_ANOMALY	GB	199801	202452	1404	1248
WEEKLY_PSC_FPICO_DIFFERENCE_ANOMALY	GOM	199801	202452	1404	1248
WEEKLY_PSC_FPICO_DIFFERENCE_ANOMALY	MAB	199801	202452	1404	1248
WEEKLY_PSC_FPICO_MEDIAN	GB	199801	202452	1404	1248
WEEKLY_PSC_FPICO_MEDIAN	GOM	199801	202452	1404	1248
WEEKLY_PSC_FPICO_MEDIAN	MAB	199801	202452	1404	1248
WEEKLY_PSC_MICRO_MEDIAN	GB	199801	202452	1404	1248
WEEKLY_PSC_MICRO_MEDIAN	GOM	199801	202452	1404	1248
WEEKLY_PSC_MICRO_MEDIAN	MAB	199801	202452	1404	1248
WEEKLY_PSC_MICRO_RATIO_ANOMALY	GB	199801	202452	1404	1248
WEEKLY_PSC_MICRO_RATIO_ANOMALY	GOM	199801	202452	1404	1248
WEEKLY_PSC_MICRO_RATIO_ANOMALY	MAB	199801	202452	1404	1248
WEEKLY_PSC_NANO_MEDIAN	GB	199801	202452	1404	1248
WEEKLY_PSC_NANO_MEDIAN	GOM	199801	202452	1404	1248
WEEKLY_PSC_NANO_MEDIAN	MAB	199801	202452	1404	1248
WEEKLY_PSC_NANO_RATIO_ANOMALY	GB	199801	202452	1404	1248
WEEKLY_PSC_NANO_RATIO_ANOMALY	GOM	199801	202452	1404	1248
WEEKLY_PSC_NANO_RATIO_ANOMALY	MAB	199801	202452	1404	1248
WEEKLY_PSC_PICO_MEDIAN	GB	199801	202452	1404	1248
WEEKLY_PSC_PICO_MEDIAN	GOM	199801	202452	1404	1248
WEEKLY_PSC_PICO_MEDIAN	MAB	199801	202452	1404	1248
WEEKLY_PSC_PICO_RATIO_ANOMALY	GB	199801	202452	1404	1248
WEEKLY_PSC_PICO_RATIO_ANOMALY	GOM	199801	202452	1404	1248
WEEKLY_PSC_PICO_RATIO_ANOMALY	MAB	199801	202452	1404	1248

2.1.2.3 Spatial location, scale and extent

General overview: By EPU and gridded for the entire shelf

Indicator specifics:

Indicator	EPU
ANNUAL_CHLOR_A_MEDIAN	GB
ANNUAL_CHLOR_A_MEDIAN	GOM
ANNUAL_CHLOR_A_MEDIAN	MAB
ANNUAL_CHLOR_A_RATIO_ANOMALY	GB
ANNUAL_CHLOR_A_RATIO_ANOMALY	GOM
ANNUAL_CHLOR_A_RATIO_ANOMALY	MAB
ANNUAL_PPD_MEDIAN	GB
ANNUAL_PPD_MEDIAN	GOM
ANNUAL_PPD_MEDIAN	MAB
ANNUAL_PSC_FMICRO_DIFFERENCE_ANOMALY	GB
ANNUAL_PSC_FMICRO_DIFFERENCE_ANOMALY	GOM
ANNUAL_PSC_FMICRO_DIFFERENCE_ANOMALY	MAB
ANNUAL_PSC_FMICRO_MEDIAN	GB
ANNUAL_PSC_FMICRO_MEDIAN	GOM
ANNUAL_PSC_FMICRO_MEDIAN	MAB
ANNUAL_PSC_FNANO_DIFFERENCE_ANOMALY	GB
ANNUAL_PSC_FNANO_DIFFERENCE_ANOMALY	GOM
ANNUAL_PSC_FNANO_DIFFERENCE_ANOMALY	MAB
ANNUAL_PSC_FNANO_MEDIAN	GB
ANNUAL_PSC_FNANO_MEDIAN	GOM
ANNUAL_PSC_FNANO_MEDIAN	MAB
ANNUAL_PSC_FPICO_DIFFERENCE_ANOMALY	GB
ANNUAL_PSC_FPICO_DIFFERENCE_ANOMALY	GOM
ANNUAL_PSC_FPICO_DIFFERENCE_ANOMALY	MAB
ANNUAL_PSC_FPICO_MEDIAN	GB
ANNUAL_PSC_FPICO_MEDIAN	GOM
ANNUAL_PSC_FPICO_MEDIAN	MAB
ANNUAL_PSC_MICRO_MEDIAN	GB
ANNUAL_PSC_MICRO_MEDIAN	GOM
ANNUAL_PSC_MICRO_MEDIAN	MAB
ANNUAL_PSC_MICRO_RATIO_ANOMALY	GB
ANNUAL_PSC_MICRO_RATIO_ANOMALY	GOM
ANNUAL_PSC_MICRO_RATIO_ANOMALY	MAB
ANNUAL_PSC_NANO_MEDIAN	GB
ANNUAL_PSC_NANO_MEDIAN	GOM
ANNUAL_PSC_NANO_MEDIAN	MAB
ANNUAL_PSC_NANO_RATIO_ANOMALY	GB
ANNUAL_PSC_NANO_RATIO_ANOMALY	GOM
ANNUAL_PSC_NANO_RATIO_ANOMALY	MAB
ANNUAL_PSC_PICO_MEDIAN	GB
ANNUAL_PSC_PICO_MEDIAN	GOM
ANNUAL_PSC_PICO_MEDIAN	MAB
ANNUAL_PSC_PICO_RATIO_ANOMALY	GB
ANNUAL_PSC_PICO_RATIO_ANOMALY	GOM
ANNUAL_PSC_PICO_RATIO_ANOMALY	MAB
CLIMATOLOGICAL_MONTH_CHLOR_A_MEDIAN	GB
CLIMATOLOGICAL_MONTH_CHLOR_A_MEDIAN	GOM
CLIMATOLOGICAL_MONTH_CHLOR_A_MEDIAN	MAB
CLIMATOLOGICAL_MONTH_PPD_MEDIAN	GB
CLIMATOLOGICAL_MONTH_PPD_MEDIAN	GOM
CLIMATOLOGICAL_MONTH_PPD_MEDIAN	MAB
CLIMATOLOGICAL_MONTH_PSC_FMICRO_MEDIAN	GB
CLIMATOLOGICAL_MONTH_PSC_FMICRO_MEDIAN	GOM
CLIMATOLOGICAL_MONTH_PSC_FMICRO_MEDIAN	MAB
CLIMATOLOGICAL_MONTH_PSC_FNANO_MEDIAN	GB
CLIMATOLOGICAL_MONTH_PSC_FNANO_MEDIAN	GOM
CLIMATOLOGICAL_MONTH_PSC_FNANO_MEDIAN	MAB
CLIMATOLOGICAL_MONTH_PSC_FPICO_MEDIAN	GB
CLIMATOLOGICAL_MONTH_PSC_FPICO_MEDIAN	GOM
CLIMATOLOGICAL_MONTH_PSC_FPICO_MEDIAN	MAB
CLIMATOLOGICAL_MONTH_PSC_MICRO_MEDIAN	GB
CLIMATOLOGICAL_MONTH_PSC_MICRO_MEDIAN	GOM
CLIMATOLOGICAL_MONTH_PSC_MICRO_MEDIAN	MAB
CLIMATOLOGICAL_MONTH_PSC_NANO_MEDIAN	GB
CLIMATOLOGICAL_MONTH_PSC_NANO_MEDIAN	GOM
CLIMATOLOGICAL_MONTH_PSC_NANO_MEDIAN	MAB
CLIMATOLOGICAL_MONTH_PSC_PICO_MEDIAN	GB
CLIMATOLOGICAL_MONTH_PSC_PICO_MEDIAN	GOM
CLIMATOLOGICAL_MONTH_PSC_PICO_MEDIAN	MAB
CLIMATOLOGICAL_WEEK_CHLOR_A_MEDIAN	GB
CLIMATOLOGICAL_WEEK_CHLOR_A_MEDIAN	GOM
CLIMATOLOGICAL_WEEK_CHLOR_A_MEDIAN	MAB
CLIMATOLOGICAL_WEEK_PPD_MEDIAN	GB
CLIMATOLOGICAL_WEEK_PPD_MEDIAN	GOM
CLIMATOLOGICAL_WEEK_PPD_MEDIAN	MAB
CLIMATOLOGICAL_WEEK_PSC_FMICRO_MEDIAN	GB
CLIMATOLOGICAL_WEEK_PSC_FMICRO_MEDIAN	GOM
CLIMATOLOGICAL_WEEK_PSC_FMICRO_MEDIAN	MAB
CLIMATOLOGICAL_WEEK_PSC_FNANO_MEDIAN	GB
CLIMATOLOGICAL_WEEK_PSC_FNANO_MEDIAN	GOM
CLIMATOLOGICAL_WEEK_PSC_FNANO_MEDIAN	MAB
CLIMATOLOGICAL_WEEK_PSC_FPICO_MEDIAN	GB
CLIMATOLOGICAL_WEEK_PSC_FPICO_MEDIAN	GOM
CLIMATOLOGICAL_WEEK_PSC_FPICO_MEDIAN	MAB
CLIMATOLOGICAL_WEEK_PSC_MICRO_MEDIAN	GB
CLIMATOLOGICAL_WEEK_PSC_MICRO_MEDIAN	GOM
CLIMATOLOGICAL_WEEK_PSC_MICRO_MEDIAN	MAB
CLIMATOLOGICAL_WEEK_PSC_NANO_MEDIAN	GB
CLIMATOLOGICAL_WEEK_PSC_NANO_MEDIAN	GOM
CLIMATOLOGICAL_WEEK_PSC_NANO_MEDIAN	MAB
CLIMATOLOGICAL_WEEK_PSC_PICO_MEDIAN	GB
CLIMATOLOGICAL_WEEK_PSC_PICO_MEDIAN	GOM
CLIMATOLOGICAL_WEEK_PSC_PICO_MEDIAN	MAB
LONGTERM_ANNUAL_CHLOR_A_MEDIAN	GB
LONGTERM_ANNUAL_CHLOR_A_MEDIAN	GOM
LONGTERM_ANNUAL_CHLOR_A_MEDIAN	MAB
LONGTERM_ANNUAL_PPD_MEDIAN	GB
LONGTERM_ANNUAL_PPD_MEDIAN	GOM
LONGTERM_ANNUAL_PPD_MEDIAN	MAB
LONGTERM_ANNUAL_PSC_FMICRO_MEDIAN	GB
LONGTERM_ANNUAL_PSC_FMICRO_MEDIAN	GOM
LONGTERM_ANNUAL_PSC_FMICRO_MEDIAN	MAB
LONGTERM_ANNUAL_PSC_FNANO_MEDIAN	GB
LONGTERM_ANNUAL_PSC_FNANO_MEDIAN	GOM
LONGTERM_ANNUAL_PSC_FNANO_MEDIAN	MAB
LONGTERM_ANNUAL_PSC_FPICO_MEDIAN	GB
LONGTERM_ANNUAL_PSC_FPICO_MEDIAN	GOM
LONGTERM_ANNUAL_PSC_FPICO_MEDIAN	MAB
LONGTERM_ANNUAL_PSC_MICRO_MEDIAN	GB
LONGTERM_ANNUAL_PSC_MICRO_MEDIAN	GOM
LONGTERM_ANNUAL_PSC_MICRO_MEDIAN	MAB
LONGTERM_ANNUAL_PSC_NANO_MEDIAN	GB
LONGTERM_ANNUAL_PSC_NANO_MEDIAN	GOM
LONGTERM_ANNUAL_PSC_NANO_MEDIAN	MAB
LONGTERM_ANNUAL_PSC_PICO_MEDIAN	GB
LONGTERM_ANNUAL_PSC_PICO_MEDIAN	GOM
LONGTERM_ANNUAL_PSC_PICO_MEDIAN	MAB
MONTHLY_CHLOR_A_MEDIAN	GB
MONTHLY_CHLOR_A_MEDIAN	GOM
MONTHLY_CHLOR_A_MEDIAN	MAB
MONTHLY_CHLOR_A_RATIO_ANOMALY	GB
MONTHLY_CHLOR_A_RATIO_ANOMALY	GOM
MONTHLY_CHLOR_A_RATIO_ANOMALY	MAB
MONTHLY_PPD_MEDIAN	GB
MONTHLY_PPD_MEDIAN	GOM
MONTHLY_PPD_MEDIAN	MAB
MONTHLY_PPD_RATIO_ANOMALY	GB
MONTHLY_PPD_RATIO_ANOMALY	GOM
MONTHLY_PPD_RATIO_ANOMALY	MAB
MONTHLY_PSC_FMICRO_DIFFERENCE_ANOMALY	GB
MONTHLY_PSC_FMICRO_DIFFERENCE_ANOMALY	GOM
MONTHLY_PSC_FMICRO_DIFFERENCE_ANOMALY	MAB
MONTHLY_PSC_FMICRO_MEDIAN	GB
MONTHLY_PSC_FMICRO_MEDIAN	GOM
MONTHLY_PSC_FMICRO_MEDIAN	MAB
MONTHLY_PSC_FNANO_DIFFERENCE_ANOMALY	GB
MONTHLY_PSC_FNANO_DIFFERENCE_ANOMALY	GOM
MONTHLY_PSC_FNANO_DIFFERENCE_ANOMALY	MAB
MONTHLY_PSC_FNANO_MEDIAN	GB
MONTHLY_PSC_FNANO_MEDIAN	GOM
MONTHLY_PSC_FNANO_MEDIAN	MAB
MONTHLY_PSC_FPICO_DIFFERENCE_ANOMALY	GB
MONTHLY_PSC_FPICO_DIFFERENCE_ANOMALY	GOM
MONTHLY_PSC_FPICO_DIFFERENCE_ANOMALY	MAB
MONTHLY_PSC_FPICO_MEDIAN	GB
MONTHLY_PSC_FPICO_MEDIAN	GOM
MONTHLY_PSC_FPICO_MEDIAN	MAB
MONTHLY_PSC_MICRO_MEDIAN	GB
MONTHLY_PSC_MICRO_MEDIAN	GOM
MONTHLY_PSC_MICRO_MEDIAN	MAB
MONTHLY_PSC_MICRO_RATIO_ANOMALY	GB
MONTHLY_PSC_MICRO_RATIO_ANOMALY	GOM
MONTHLY_PSC_MICRO_RATIO_ANOMALY	MAB
MONTHLY_PSC_NANO_MEDIAN	GB
MONTHLY_PSC_NANO_MEDIAN	GOM
MONTHLY_PSC_NANO_MEDIAN	MAB
MONTHLY_PSC_NANO_RATIO_ANOMALY	GB
MONTHLY_PSC_NANO_RATIO_ANOMALY	GOM
MONTHLY_PSC_NANO_RATIO_ANOMALY	MAB
MONTHLY_PSC_PICO_MEDIAN	GB
MONTHLY_PSC_PICO_MEDIAN	GOM
MONTHLY_PSC_PICO_MEDIAN	MAB
MONTHLY_PSC_PICO_RATIO_ANOMALY	GB
MONTHLY_PSC_PICO_RATIO_ANOMALY	GOM
MONTHLY_PSC_PICO_RATIO_ANOMALY	MAB
WEEKLY_CHLOR_A_MEDIAN	GB
WEEKLY_CHLOR_A_MEDIAN	GOM
WEEKLY_CHLOR_A_MEDIAN	MAB
WEEKLY_CHLOR_A_RATIO_ANOMALY	GB
WEEKLY_CHLOR_A_RATIO_ANOMALY	GOM
WEEKLY_CHLOR_A_RATIO_ANOMALY	MAB
WEEKLY_PPD_MEDIAN	GB
WEEKLY_PPD_MEDIAN	GOM
WEEKLY_PPD_MEDIAN	MAB
WEEKLY_PPD_RATIO_ANOMALY	GB
WEEKLY_PPD_RATIO_ANOMALY	GOM
WEEKLY_PPD_RATIO_ANOMALY	MAB
WEEKLY_PSC_FMICRO_DIFFERENCE_ANOMALY	GB
WEEKLY_PSC_FMICRO_DIFFERENCE_ANOMALY	GOM
WEEKLY_PSC_FMICRO_DIFFERENCE_ANOMALY	MAB
WEEKLY_PSC_FMICRO_MEDIAN	GB
WEEKLY_PSC_FMICRO_MEDIAN	GOM
WEEKLY_PSC_FMICRO_MEDIAN	MAB
WEEKLY_PSC_FNANO_DIFFERENCE_ANOMALY	GB
WEEKLY_PSC_FNANO_DIFFERENCE_ANOMALY	GOM
WEEKLY_PSC_FNANO_DIFFERENCE_ANOMALY	MAB
WEEKLY_PSC_FNANO_MEDIAN	GB
WEEKLY_PSC_FNANO_MEDIAN	GOM
WEEKLY_PSC_FNANO_MEDIAN	MAB
WEEKLY_PSC_FPICO_DIFFERENCE_ANOMALY	GB
WEEKLY_PSC_FPICO_DIFFERENCE_ANOMALY	GOM
WEEKLY_PSC_FPICO_DIFFERENCE_ANOMALY	MAB
WEEKLY_PSC_FPICO_MEDIAN	GB
WEEKLY_PSC_FPICO_MEDIAN	GOM
WEEKLY_PSC_FPICO_MEDIAN	MAB
WEEKLY_PSC_MICRO_MEDIAN	GB
WEEKLY_PSC_MICRO_MEDIAN	GOM
WEEKLY_PSC_MICRO_MEDIAN	MAB
WEEKLY_PSC_MICRO_RATIO_ANOMALY	GB
WEEKLY_PSC_MICRO_RATIO_ANOMALY	GOM
WEEKLY_PSC_MICRO_RATIO_ANOMALY	MAB
WEEKLY_PSC_NANO_MEDIAN	GB
WEEKLY_PSC_NANO_MEDIAN	GOM
WEEKLY_PSC_NANO_MEDIAN	MAB
WEEKLY_PSC_NANO_RATIO_ANOMALY	GB
WEEKLY_PSC_NANO_RATIO_ANOMALY	GOM
WEEKLY_PSC_NANO_RATIO_ANOMALY	MAB
WEEKLY_PSC_PICO_MEDIAN	GB
WEEKLY_PSC_PICO_MEDIAN	GOM
WEEKLY_PSC_PICO_MEDIAN	MAB
WEEKLY_PSC_PICO_RATIO_ANOMALY	GB
WEEKLY_PSC_PICO_RATIO_ANOMALY	GOM
WEEKLY_PSC_PICO_RATIO_ANOMALY	MAB

2.1.2.4 Management scale: all species, FMP level, species level, can it be aggregated or separated to different scales?

[Classify by hand, note gridded data if available could be applied to different species ranges]

2.1.2.5 Uncertainty metrics

Uncertainty is captured in these variables:

character(0)

2.1.3 Are methods clearly documented to obtain source data and calculate indicators?

Yes

2.1.3.1 Can the indicator be calculated from current documentation?

Gridded statistics, including the arithmetic mean, geometric mean, median, standard deviation, and coefficient of variation are calculated at daily (3 and 8-day running means), weekly, monthly, and annual time steps, and for several climatological periods. Annual statistics used the monthly means as inputs to avoid a summer time bias when more data are available due to reduced cloud cover. The daily, weekly, monthly and annual climatological statistics include the entire time series for each specified period. For example, the climatological January uses the monthly mean from each January in the time series and the climatological annual uses the annual mean from each year. Prior to 2024, the climatological date range was from 1998 to the current year. Starting in 2024, the climatological period was fixed to 1998 to 2020 in order to be consistent with the climatological date range of other products. Gridded weekly, monthly and annual anomalies are calculated for each product by taking the difference between the mean of the input time period (i.e. week, month, year) and the climatological mean for the same period. Because bio-optical data are typically log-normally distributed Campbell (1995), the CHL and PP data were first log-transformed prior to taking the difference and then untransformed, resulting in a unitless anomaly ratio. Total primary production is the annual summed primary production by ecological production unit (EPU). Gridded monthly mean data were used as inputs to the annual calculation and the monthly mean of all valid pixels within the EPU was used to fill in any missing pixels. All data converted from (mgC m-2 day-1) to (mgC pixel-1 day-1) by multiplying by the pixel area. The data within the EPU were then summed and multiplied by the number of days in the month to convert the data to (mgC EPU-1 month-1). The monthly data for each year were then summed and converted from grams carbon to metric tons carbon to return total annual primary production for each EPU (mtC EPU-1 year-1). The ecological production unit (EPU) shapefile that excludes the estuaries was used to spatially extract all data located within an ecoregion from the statistic and anomaly images. The median values were used for the CHL and PP data.

2.1.3.2 Is code publicly available? up to date?

2.1.3.3 Have methods changed over time?

Yes

2.1.4 Are indicator underlying source data linked or easy to find?

Source data used in these analyses are publicly available.

2.1.4.1 Where are source data stored?

Daily Level 3 mapped (4km resolution, sinusoidally projected) satellite ocean color data are acquired from the European Space Agency’s Ocean Colour Climate Change Initiative (OC-CCI; version 6.0) and GlobColour Project. The OC-CCI data is the primary ocean color data source, however the data latency is approximately 3-4 months. GlobColour ocean color data are used to supplement the OC-CCI data to complete the time series for the current year. Sea Surface Temperature (SST) data include the 4 km nighttime NOAA Advanced Very High Resolution Radiometer (AVHRR) Pathfinder (Casey et al. (2010); Saha et al. (2018)) and the Group for High Resolution Sea Surface Temperature (GHRSST) Multiscale Ultrahigh Resolution (MUR, version 4.1) Level 4 (Chin, Vazquez-Cuervo, and Armstrong (2017); Project (2015)) data. AVHRR Pathfinder data are used as the SST source until 2002 and MUR SST in subsequent years.

2.1.4.2 How/by whom are source data updated? Are future updates likely?

Kimberly Hyde, kimberly.hyde@noaa.gov

[likelihood of source data updates requires judgement, enter by hand]

2.1.4.3 How often are they updated?

[Update by hand, look for source, may require judgement]

2.2 Indicator analysis/testing or history of use

2.2.1 What decision or advice processes are the indicators currently used in?

2.2 Key Results and Visualizations 2.1 Introduction to Indicator

2.2.2 What implications of the indicators are currently listed?

Phytoplankton abundance, productivity, diversity, cell size, phenology, and carbon fluxes are regulated by the local physical and chemical environment and grazing. Interannual and climatological changes in temperature, freshwater inputs (due to ice sheet melting and/or enhanced river discharge), wind direction, and wind speed can alter the circulation patterns, upwelling conditions, and nutrient fluxes, directly affecting the timing, location, species composition of phytoplankton blooms in the NES. As the NES responds to warming, changing phenologies, changing chemistry, and changes in circulation patterns, we must understand how varying biophysical interactions control phytoplankton and subsequently affect fisheries, their habitats and the people, businesses and communities that depend on them.

2.2.3 Do target, limit, or threshold values already exist for the indicator?

Target, limit, or threshold terms detected

2.2.4 Have the indicators been tested to ensure they respond proportionally to a change in the underlying process?

2.2.5 Are the indicators sensitive to a small change in the process, or what is the threshold of change that is detectable?

Unknown

2.2.6 Is there a time lag between the process change and the indicator change? How long?