Marine microbiology from space Rafel Simó, Sergio Vallina, Jordi Dachs & Carles Pedrós-Alió
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Transcript of Marine microbiology from space Rafel Simó, Sergio Vallina, Jordi Dachs & Carles Pedrós-Alió
Marine microbiology from space
Rafel Simó, Sergio Vallina, Jordi Dachs & Carles Pedrós-Alió
Institut de Ciències del MarCMIMA, CSIC
Barcelona
Marine microbes through the microscope: small but many
Ocean color
SeaWiffs web page
Manymicrobes
Very few microbes
The many troubles of a well meaning
satellite
Electronic signal in each pixel
Raw Data
Level 0
Each pixel with position and time
Level 1
Radiance at the stellite per pixel
Sensor calibratio
n
Radiance at Earth’s surface
Level 2
Atmospheric correction with masks and flags
Biogeophysical data
Level 2
Algorithms
Level 3 Data in bins
From sensor to image
Http://daac.gsfc.nasa.gov/CAMPAIGN_DOCS/OCDST/classic_scenes
A ship would take
10 years of continuous sampling to get the same
amount of data points
Phototrophic microbes visible
thanks to Chlorophyll a
CZCS 27/11/81
DMSPDMSP
Marine phytoplankton produce DMSP forMarine phytoplankton produce DMSP forits role in:its role in:
-osmoregulation-osmoregulation-cryoprotection-cryoprotection-anti-oxidant-anti-oxidant-methyl donor-methyl donor-overflow of excess S and reducing power-overflow of excess S and reducing power-chemosensory and chemotactic behaviour-chemosensory and chemotactic behaviour
ubiquitous in the oceans!ubiquitous in the oceans!
DMSDMS : dimethyl sulphide : dimethyl sulphide
(CH(CH33))22SS
DMSPDMSP: dimethylsulphoniopropionate: dimethylsulphoniopropionate
(CH(CH33))22SS++-CH-CH22-CH-CH22-COO-COO--
is transformed into
main biological source of S to atmosphere
Microbial community(plankton)
Atmosphere
Ocean
Particles
Temperature
DMS
Solar RadiationAlbedo
Microbes contribute to climate regulation through DMS production
Charlson, Lovelock, Andreae & Warren (1987) Nature 326:655
Earth without clouds
Earth with clouds: albedo is VERY important
N AtlanticNW MediterraneanGulf of MaineEquatorial PacificNorth SeaNE PacificSargasso Sea
Mixed Layer Depth (m)
DM
S y
ield
(%)
0 10 20 30 40 50 60 70
100
80
60
40
20
0
Simó & Pedrós-Alió, Nature 402: 396-399 (1999)
The % of DMSP converted to DMS depends on Mixed Layer Depth
CHLCHL : SeaWiFS 1997-2000 : SeaWiFS 1997-2000
W. Gregg (GSFC, NASA)W. Gregg (GSFC, NASA)
monthlymonthly
MLDMLD : Samuels & Cox (Levitus) : Samuels & Cox (Levitus)
t t = 0.125 = 0.125 kg mkg m-3-3
monthlymonthly
R 2 = 0 .8 2 5 5
0
2
4
6
8
10
0 2 4 6 8 10
Observed DMS (nM)
Pre
dict
ed D
MS
(nM
)
North AtlanticGulf of MexicoEast China SeaEast MediterraneanWest MediterraneanSargasso Sea
Southern ocean (SOIREE)
Equatorial Pacific (IRONEX II)
Equatorial Pacific
Validation of the algorythm: average values from world’s oceans
Simó & Dachs, Global Biogeochem. Cycles, 2002
DMS conc. (nM) january
decemberDMS conc. (nM)
SSTSST : ATSR-2 : ATSR-2
monthlymonthly
WIND SPEEDWIND SPEED : NOAA SSM/I : NOAA SSM/I
monthly, Weibull correctionmonthly, Weibull correction
Sea-to-air flux:Sea-to-air flux:
F = k · F = k · [DMS] [DMS]
January February March
April May June
July August September
October November December
180W 90W 0 90E 180EW 90W 0 90E 180EW 90W 0 90E 180E
90 N
60 N
30 N
0
30 S
60 S
90 S
90 N
60 N
30 N
0
30 S
60 S
90 S
0 5 10 15 20 25 30
180 360 540 720
60
120
180
240
300
360
0 5 10 15 20 25 30
180 360 540 720
60
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180
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300
360
0 5 10 15 20 25 30
180 360 540 720
60
120
180
240
300
360
0 5 10 15 20 25 30
180 360 540 720
60
120
180
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300
360
0 5 10 15 20 25 30
180 360 540 720
60
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180
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360
0 5 10 15 20 25 30
180 360 540 720
60
120
180
240
300
360
0 5 10 15 20 25 30
180 360 540 720
60
120
180
240
300
360
0 5 10 15 20 25 30
180 360 540 720
60
120
180
240
300
360
0 5 10 15 20 25 30
180 360 540 720
60
120
180
240
300
360
0 5 10 15 20 25 30
180 360 540 720
60
120
180
240
300
360
0 5 10 15 20 25 30
180 360 540 720
60
120
180
240
300
360
0 5 10 15 20 25 30
180 360 540 720
60
120
180
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360
DMS Flux (M m-2 d-1)
0 5 10 15 20 25 30
180 360 540 720
60
120
180
240
300
360
0 5 10 15 20 25 30
ANNUAL OCEAN-TO-ATMOSPHERE ANNUAL OCEAN-TO-ATMOSPHERE EMISSION OF DMSEMISSION OF DMS
23 - 3223 - 32 Tg S y Tg S y-1-1
anthropogenic ~ 67anthropogenic ~ 67volcanic ~ 7volcanic ~ 7
AEROSOL OPTICALAEROSOL OPTICALDEPTHDEPTH(AOD)(AOD)
POTENTIAL CLOUD POTENTIAL CLOUD CONDENSATION NUCLEI CONDENSATION NUCLEI (CCN)(CCN)
MODISMODIS
COEFF. CORRELATION
CCN vs DMS conc
annual series, 7x7º
ATMOSPHERIC SAMPLING STATIONS (Univ. Miami)ATMOSPHERIC SAMPLING STATIONS (Univ. Miami)+ Cape Grim + Amsterdam Island+ Cape Grim + Amsterdam Island
DMS predicted
CCN MODIS
MSA measured
blue: DMSblack: CCNgreen: MSA
J F M A M J J A S O N DDM
S –
CC
N –
MS
A (
stan
dard
ized
)
MACE HEAD
blue: DMSblack: CCNgreen: MSA
J F M A M J J A S O N DDM
S –
CC
N –
MS
A ( s
tand
ardi
zed)
AMSTERDAM IS.
DMSCCNMSA
DMS vs CCNSPEARMAN'S
CORREL. COEFF. :
-0,5385
blue: DMSblack: CCNgreen: MSA
J F M A M J J A S O N D
DM
S –
CC
N –
MS
A (s
tand
ardi
zed)
KOREA
DMSCCNMSA
blue: DMSblack: CCNgreen: MSA
J F M A M J J A S O N DDM
S –
CC
N –
MS
A (s
tand
ardi
zed)
HAWAII