Recent Results of GHG Monitoring at the Zotino Tall Tower - - PowerPoint PPT Presentation

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Recent Results of GHG Monitoring at the Zotino Tall Tower - - PowerPoint PPT Presentation

Recent Results of GHG Monitoring at the Zotino Tall Tower Observatory (ZOTTO) - Status Report 7/2009 - Jan Winderlich, Martin Heimann Max-Planck-Institute for Biogeochemistry, Jena, Germany Temperature Predicted climate change Predicted


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SLIDE 1

Recent Results of GHG Monitoring at the Zotino Tall Tower Observatory (ZOTTO)

  • Status Report 7/2009 -

Jan Winderlich, Martin Heimann Max-Planck-Institute for Biogeochemistry, Jena, Germany

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SLIDE 2

Predicted climate change Predicted climate change 2080 2080-

  • 2100

2100 -

  • 1980

1980-

  • 2000

2000 Scenario SRES A1B Scenario SRES A1B Multimodel Multimodel Mean Mean

IPCC AR4, 2007

Precipitation Soil moisture Temperature

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SLIDE 3

CO CO2

2 -

  • CH

CH4

4 -

  • Aerosols

Aerosols-

  • Air

Air Chemistry Chemistry -

  • Climate

Climate

  • Interactions in the

Interactions in the Boreal Zone Boreal Zone

  • Fundamental

Scientific Questions:

  • What ist the

magnitude of the feedback factor?

  • What is the balance
  • f CO2 vs CH4

emissions?

  • Magnitudes?
  • Timescales?
  • Critical Regions?

McGuire et al., 2009, Ecological Monographs

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SLIDE 4

Northern Eurasia in the Global Northern Eurasia in the Global Biogeochemical Context: Biogeochemical Context: Overarching Questions Overarching Questions

  • What is the regional contribution to the global trace

gas budgets (primarily CO2 and CH4)?

  • Can we separate and quantify the direct versus the

indirect (feedback) fluxes?

  • What is the recent history of the regional trace gas

budgets? Variability? Drivers?

  • Are there thresholds in the forcing which will

negatively impact vulnerable pools or processes?

  • How will the regional budgets evolve over the next

100 years?

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SLIDE 5

Carbon cycle Carbon cycle -

  • climate system feedbacks

climate system feedbacks

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SLIDE 6

C C4

4MIP

MIP:

:

Coupled Carbon Cycle Coupled Carbon Cycle -

  • Climate Model Simulations:

Climate Model Simulations: Cumulative climate feedback effect Cumulative climate feedback effect

  • n terrestrial carbon stocks
  • n terrestrial carbon stocks

∆ ∆ (2100

(2100 -

  • 1900)

1900) (

(N Ncoupled

coupled -

  • N

Nuncoupled

uncoupled)

) Global 60N-90N

C4MIP Simulations, Friedlingstein et al., 2006

Soils Vegetation

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SLIDE 7

Elementary terrestrial carbon cycle Elementary terrestrial carbon cycle -

  • climate system

climate system feedbacks feedbacks

Heimann and Reichstein, 2008

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SLIDE 8

Missing processes: Missing processes: Permafrost soil carbon Permafrost soil carbon -

  • climate feedbacks

climate feedbacks

Heimann and Reichstein, 2008

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SLIDE 9

Quantification of regional greenhouse gas balances Quantification of regional greenhouse gas balances

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SLIDE 10

Zotino Tall Tower Observatory Zotino Tall Tower Observatory 60 60° °E, 90 E, 90° °N N

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SLIDE 11

Longer term climate development in Central Siberia Longer term climate development in Central Siberia

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SLIDE 12

Forest NEE PAR < T >

Flux Measurements near Flux Measurements near Zotino, 60.75 Zotino, 60.75° °N, 89.38 N, 89.38° °E E (Eddy Covariance Method) (Eddy Covariance Method) [ [Shibistova Shibistova et al., 2004] et al., 2004]

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SLIDE 13

Zotino 300 m Tall Tower Observatory (ZOTTO) Zotino 300 m Tall Tower Observatory (ZOTTO)

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SLIDE 14

View from 304m Level View from 304m Level

Laboratory Bunker Pergola Scientists House Generators

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SLIDE 15

International Science and Technology Center (ISTC)

  • V. Rudneva
  • M. Heimann
  • J. Winderlich

E.D. Schulze Max-Planck-Institute for Biogeochemistry, Jena, Germany

  • M. O. Andreae
  • N. Jürgens

Max-Planck-Institute for Chemistry, Mainz, Germany

  • W. Birmili
  • J. Heintzenberg

Leibniz Institute for Tropospheric Research, Leipzig, Germany

  • M. Gloor

University of Leeds, Leeds, UK

  • A. Manning
  • E. Kozlova

University of East Anglia, Norwich, UK

  • A. Skorochod
  • A. M. Obukhov Institute of Atmospheric

Physics, RAS, Moscow, Russia

  • E. Vaganov
  • S. Verkovhets
  • V. I. Sukachev Institute of Forest, RAS,

Krasnojarsk, Russia

ZOTTO Consortium

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SLIDE 16

Why 300m Tall Tower? Why 300m Tall Tower?

Footprint Analysis Typical aircraft CO2 concentration profiles over Zotino

Styles et al., 2002

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SLIDE 17

Daytime atmospheric CO Daytime atmospheric CO2

2 concentration

concentration measurements in PBL at Zotino Tall Tower measurements in PBL at Zotino Tall Tower Observatory Observatory (ZOTTO, 60 (ZOTTO, 60° °N, 90 N, 90° °E) E)

Kozlova et al., 2008

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SLIDE 18

Current Setup at ZOTTO Current Setup at ZOTTO since April 2009 since April 2009

  • Measure CO2 / CH4 / H2O at 6 height levels
  • New system: Picarro, Inc.:

EnviroSense 3000i, ESP-1000 platform

  • Cavity Ring-Down Spectroscopy (CRDS)

92 m 158 m 227 m 301 m 52 m 4 m

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SLIDE 19
  • Cavity Ring-Down Spectroscopy:
  • light absorption

decay of light

  • time measurement

concentration calculation

  • low maintenance

CO CO2

2/CH

/CH4

4/H

/H2

2O Measurement with Picarro

O Measurement with Picarro

Stabilization: p = 140 torr f ~ 230 sccm T = 40 °C

[Crosson, 2007]

Airflow

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SLIDE 20

Implementation: Plumbing Diagram Implementation: Plumbing Diagram

  • Aim: Air from 6 tower levels to 1 instrument (at ZOTTO)

pR f f

6x 4x

inlet air filter

p f

… pressure gauge flush

15 slpm 240 sccm

selection valve purge

300 sccm

tubing ≤ 300 m cal gas tower

p

to purge … flow meter Picarro analyzer

p f

8ℓ buffer

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SLIDE 21

Implementation in the Laboratory Container Implementation in the Laboratory Container

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SLIDE 22

Current data from 2009 Current data from 2009

  • Like an early

summer day may look like

  • But no data out
  • f Russia, yet.
  • artificial data:

12:00 noon (local time) 0:00 midnight 6:00 morning 18:00 evening ZOTTO CO2 time series 378 ppm 390 ppm

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SLIDE 23
  • D. Mollicone, E.-D. Schulze (pers. comm)

1 Oligotrophic pools and sphagnum lawns mire complexes 2 Oligotrophic ridge- hollow complexes 3 Oligotrophic dwarf shrubs-sphagnum bogs 4 Ombrotrophic pine dwarf shrubs sphagnum bogs 5 Minerotrophic sedge- moss lawns and through flow fens 6 Wooded swamps (sogras)

Peat land ecosystems in the ZOTTO area Peat land ecosystems in the ZOTTO area

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SLIDE 24

Back trajectories

30.4.09 – 5 dys 28.5.09 – 5 dys

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SLIDE 25

[http://inversions.lsce.ipsl.fr/]

ZOTTO ×

CO2 flux in July 2004

ZOTTO ×

CH4 flux in July 2004

Inversions

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SLIDE 26

CO CO2

2 Inversions:

Inversions: No evidence of positive trend in northern latitudes No evidence of positive trend in northern latitudes

ICOS CarboScope (www.carboscope.eu), CARBONTRACKER-EU, LSCE-Inversion, MPI-BGC Jena Inversion

Boreal Eurasia Northern Hemisphere

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SLIDE 27

Observing strategy Observing strategy -

  • Top

Top-

  • down method:

down method: Possible surface source uncertainty reduction from Possible surface source uncertainty reduction from atmospheric concentration measurement network atmospheric concentration measurement network

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SLIDE 28

Instrumentation list Instrumentation list

  • Meteo-data at tower and on ground - Jena
  • CO2, CH4, H2O - Jena
  • Aerosols - Leipzig
  • Reactive gases (O3, NOx) - Moscow
  • CO - Mainz
  • Flasks - Jena
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SLIDE 29

Particle Size Distribution Particle Size Distribution -

  • Comparison with

Comparison with Europe Europe

Heintzenberg et al., Tellus, 2008

IfT, Leipzig

ZOTTO 2006-2007 Europe: Schauinsland 2005-2007 Zugspitze 2004-2007

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SLIDE 30

Conclusions Conclusions

  • BGC processes play important role in climate

system

  • New Picarro system promises low maintenance

measurements

  • Thus ZOTTO
  • closes large gap in knowledge about carbon

cycle monitoring

  • reduces uncertainties of inverse models
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SLIDE 31

Effect of growing season length Effect of growing season length Response in ORCHIDEE model Response in ORCHIDEE model

Piao et al., 2007