US AMLR datasets

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US AMLR datasets Ship-based oceanographic, biological and acoustic data

description

US AMLR datasets. Ship-based oceanographic, biological and acoustic data. Drew Shindell, NASA-GISS. The ship-based program collects a variety of data. Ship-based ProgramDuration Quant. krill net tows (species, stage, maturity; >3000)1993 - present* - PowerPoint PPT Presentation

Transcript of US AMLR datasets

Page 1: US AMLR datasets

US AMLR datasetsShip-based oceanographic, biological and acoustic data

Page 2: US AMLR datasets

Drew Shindell, NASA-GISS

Ship-based Program Duration

•Quant. krill net tows (species, stage, maturity; >3000) 1993 - present*•Water properties (CTD; > 3000) 1990 - present •XBT/ Drifter deployments (500 XBTs, >100 drifters) 2005 - present

•Underway met. and ocean. data (>50 000 km) 1990 - present•Acoustics (EK-500; 2 frequencies) 1990 - 2000•Acoustics (EK-60; 4 frequencies) 2000 - present•Chl-a/ species/ size/ nutrients (>10,000) 1990 - present•Bird/mammal observations (30 000 km) 2000 - present

Occasional studies•Iron / trace metals (3 years; >300 samples) 2006-2008•Ancillary and special acoustic surveys 2004-2006, 2008

•Satellite data validation (SIO/NASA partners; 17/47 SO datasets) 1997 - 2008

*Partner programs extend the data farther into past

The ship-based program collects a variety of data

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AMLR Survey Grid and Predator Field Camps

Longitude

Antarc

tic P

eninsula

South ShetlandIslands

BransfieldStrait

Weddell Sea

DrakePassage

ScotiaSea

Latit

ude

ACC

•Elephant Island area

•Historical fishery

•Long term sampling

•Seal Island field camp

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AMLR Survey Grid and Predator Field Camps

Longitude

Antarc

tic P

eninsula

South ShetlandIslands

BransfieldStrait

Weddell Sea

DrakePassage

ScotiaSea

Latit

ude

ACC•Expanded in 1997•Reflect change to monitoring•Close to population centers•New Camp at Cape Shirreff•Copacabana

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AMLR Survey Grid and Predator Field Camps

Longitude

Antarc

tic P

eninsula

South ShetlandIslands

BransfieldStrait

Weddell Sea

DrakePassage

ScotiaSea

Latit

ude

ACC

?

•Expansion south (2007, 2008) as ice allows.

•Do we expand to determine distribution and abundance of krill and other species in other areas

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Krill

Ice

Salp

Time series of krill and plankton

Year

1

2

3

4

5

6

7

8

9

10

11

12

79 81 83 85 87 89 91 93 95 97 99 01 03

Mo

nth

Sea ice extent10^6 km^2

0

875

1750

2625

3500

Sa

lp d

en

sit

y (n

o.

m^

-2

0.2

0.4

0.6

Kri

ll p

rop

ort

ion

al

rec

ruit

men

t

0.8

Year

400

200

600

0

Krill d

en

sity

(no

100

m^

-3)

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At-sea avian distributions and krill hotspots

Krill Distribution Cape Petrel

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At-sea mammal observations – coupled with krill net tow data and demography

FinHumpback

13-34 mm 45-65 mm

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Year

Chl

-a (

mg

m

) -3

0

0.5

1

1.5

2

2.5

88 90 92 94 96 98 00 02 04 06 08

0

5

10

15

20

25

30

UM

L Int. Chl-a (m

g m ) -2

Oceanographic data to examine bottom up processes

Integrated and UML chl-a highly correlated

Significant interannual variability

0.3 – 2.0 mg m-3

Low periods in 1992 and 1998 associated with El Nino

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Linking physical environment to productivity

Integrated physical and biological data include

Upper mixed layer (UML)•temperature•depth•salinity

To examine:

Productivity (chl-a) and variability in physical environment

Year

UM

L d

epth

(m

)

0

10

20

30

40

50

60

70

1985 1990 1995 2000 2005 20100

0.5

1

1.5

2

2.5

3

Year

UM

L s

alin

ity

(psu

)

33.9

34

34.1

34.2

1985 1990 1995 2000 2005 2010

UM

L tem

peratu

re ( C)

o

Ch

l-a

(mg

m

) -3

UML temperature ( C)o

1995

2006

0

0.5

1

1.5

2

2.5

0 0.5 1 1.5 2 2.5 3

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Spatially resolved for satellite comparisons of chl-a and primary production

•AMLR sampling recovers spatial structure

•Satellite ocean-color data lack other variables necessary to understand why productivity

•Physical data can be used to validate models of production in IPCC Class models

•US AMLR cruises represent at least 17 of 47 Southern ocean datasets (NASA Grants to SIO)

10 yr SeaWiFs mean

10 yr AMLR average

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Database

A comprehensive, quality-controlled at-sea database (1990 to present)

Data input forms for each database component

At-sea bird and mammal track-line, acoustic and sea surface data are in a database

Oceanographic and net based data associated with trawl data have been incorporated

Quality-control and quality-assurance procedures are being developed

First reanalysis and reprocessing of CTD is being conducted

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Unique attributes

Longest (with historical partner data) plankton time series

Largest and longest quantitative multi-frequency acoustic time series

Only comprehensive, integrated and repetitive at-sea bird and mammal observation program

Longest continuous oceanographic (CTD) and chl-a time-series in the Scotia Sea

Limitations

No winter data, no shoulder season coverage

Opportunities

Gliders, AUVs for hydrographic and plankton data

Modeling for integration and synthesis