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Quantifying uncertainties in modelling global isoprene emissions: the role of satellite data Paul Palmer http://www.geos.ed.ac.uk/ eochem

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Page 1: Quantifying uncertainties in modelling global isoprene emissions: the role of satellite data Paul Palmer

Quantifying uncertainties in modelling global isoprene

emissions: the role of satellite data

Paul Palmerhttp://www.geos.ed.ac.uk/eochem

Page 2: Quantifying uncertainties in modelling global isoprene emissions: the role of satellite data Paul Palmer

)(inputs1

0 x

n

xEE

Climate models tend to use simple isoprene emission models

E0(t) is typically fixed in climate models.

Page 3: Quantifying uncertainties in modelling global isoprene emissions: the role of satellite data Paul Palmer

T

PPFD

CO

2

CO2 [ppm] T [K]

PPFD transmission

T and PPFD equations based on MEGAN; CO2 is from Arneth et al

Page 4: Quantifying uncertainties in modelling global isoprene emissions: the role of satellite data Paul Palmer

)exp((

)exp(xCCC

xCCE

TTT

TToptT

212

12

1

1)Assume functional form is correct

2)Time-dependent variables x and Eopt and empirical coefficients CT1 (=95) and CT2 (=230).

Focus on temperature dependence model

Page 5: Quantifying uncertainties in modelling global isoprene emissions: the role of satellite data Paul Palmer

Fractional perturbation of CT1

Fract

ional p

ert

urb

ati

on

of

CT2

T

X

T is most sensitive to CT1

Page 6: Quantifying uncertainties in modelling global isoprene emissions: the role of satellite data Paul Palmer

A2

B1C

O2 [

pp

m]

TS [

K]

SW

[W

/m2] Decrease due to

increased cloudiness

CAVEAT: I have not accounted for direct and diffuse PPFD partitioning

Hadley Centre IPCC model runs

Page 7: Quantifying uncertainties in modelling global isoprene emissions: the role of satellite data Paul Palmer

Eis

op [

Tg/y

r/d

eg

] fr

om

20

00

T PPFD

2050 ---- 2100 ____

Eis

op [

Tg

/yr/

deg

] fr

om

20

00

CO2 T

PPFDA2

B1

Use MEGAN with Hadley model data

Page 8: Quantifying uncertainties in modelling global isoprene emissions: the role of satellite data Paul Palmer

Eis

op [

Tg/y

r/d

eg

] fr

om

20

00

T PPFD

2050 ---- 2100 ____

Eis

op [

Tg

/yr/

deg

] fr

om

20

00

CO2 T

PPFDA2

B1

Use MEGAN with Hadley model data

Page 9: Quantifying uncertainties in modelling global isoprene emissions: the role of satellite data Paul Palmer

Economic pressures shift natural ecosystems to agricultural and biofuel crops

Foley et al, 2005

-2

0

2

4

6

8

10

12

14

00:00 06:00 12:00 18:00 00:00

mg

m-2

h-1

Isoprene Flux Oil Palm

Isoprene Flux Rainforest

daily mean oil palm

daily mean rainforest

Isoprene Flux Results Rainforest vs Oil Palm over Borneo c/o Langford, Miztal, Nemitz and Hewitt

Page 10: Quantifying uncertainties in modelling global isoprene emissions: the role of satellite data Paul Palmer

Eis

op [

Tg/y

r/d

eg

] fr

om

20

00

Eis

op [

Tg/y

r/d

eg

] fr

om

20

00

2050 ---- 2100 ____

A2

B1

Even a modest (crude) land-use change scenarios completely changes our main result

-2050: double Y2K emissions over Borneo

-2100: 25% emission increase over 5S-5NT PPFD CO2 T

PPFD

Page 11: Quantifying uncertainties in modelling global isoprene emissions: the role of satellite data Paul Palmer

Eis

op [

Tg/y

r/d

eg

] fr

om

20

00

Eis

op [

Tg/y

r/d

eg

] fr

om

20

00

2050 ---- 2100 ____

A2

B1

Even a modest (crude) land-use change scenarios completely changes our main result

-2050: double Y2K emissions over Borneo

-2100: 25% emission increase over 5S-5NT PPFD CO2 T

PPFD

Page 12: Quantifying uncertainties in modelling global isoprene emissions: the role of satellite data Paul Palmer

Time to parameterise acclimatisation for decadal model calculations?

But what about acclimatisation?M

onso

n e

t al, 1

99

2

grown at 26C

grown at 34C

Velvet Bean

Page 13: Quantifying uncertainties in modelling global isoprene emissions: the role of satellite data Paul Palmer

Relating HCHO Columns to Isoprene Emissions

VOC HCHOhours

OH

hours

h, OH

Net

• HCHO is significant product of isoprene oxidation

• Isoprene emissions are typically main driver of variability in HCHO columns observed from space 12 years of HCHO

Page 14: Quantifying uncertainties in modelling global isoprene emissions: the role of satellite data Paul Palmer

Where WhenImportance

Statistical reduction of 12-year dataset

Barkley et al, 2009

Page 15: Quantifying uncertainties in modelling global isoprene emissions: the role of satellite data Paul Palmer

Scenes influences by fires and cloud have been removed

Barkley et al, 2009

Page 16: Quantifying uncertainties in modelling global isoprene emissions: the role of satellite data Paul Palmer

Amazonian leaf flushing consistent with large-scale

reduction of HCHO

Working hypothesis: leaf drop and flush in preparation for sunnier, dry conditions in dry season

Barkley et al, 2009

Page 17: Quantifying uncertainties in modelling global isoprene emissions: the role of satellite data Paul Palmer

SPARE SLIDES

Page 18: Quantifying uncertainties in modelling global isoprene emissions: the role of satellite data Paul Palmer

What drives isoprene emission variability?

Page 19: Quantifying uncertainties in modelling global isoprene emissions: the role of satellite data Paul Palmer

What drives isoprene emission variability?