extreme events
DESCRIPTION
Extreme events. Objective : characterizing ecosystem/carbon response to extreme climate events; understanding the processes and mechanisms that will be useful for future projections Method : using a suite of models and data: foward/inversion/flux/satellite Forcings: PDSI, P, Temp, … - PowerPoint PPT PresentationTRANSCRIPT
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Extreme eventsExtreme events
ObjectiveObjective: characterizing ecosystem/carbon : characterizing ecosystem/carbon response to extreme climate events; response to extreme climate events; understanding the processes and mechanisms understanding the processes and mechanisms that will be useful for future projectionsthat will be useful for future projections
MethodMethod: using a suite of models and data: : using a suite of models and data: foward/inversion/flux/satellitefoward/inversion/flux/satellite
Forcings: PDSI, P, Temp, …Forcings: PDSI, P, Temp, … Correlation analysisCorrelation analysis Sensitivity experimentsSensitivity experiments
Processes: NPP, Rh, …Processes: NPP, Rh, …
Which events: 2002 (also 2007?, 3+ models)Which events: 2002 (also 2007?, 3+ models)
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Site flux measurementsForest/agriculture inventory
A
Carbon fluxes
Observed Climate+
ForcingPrecipitation, temp, radiation, etc.CO2
Land use
Mechanistic carbon models
InversionCarbon data assimilation
NEEGPP, ReNPP
Satellite: NDVI EVI LAI Fire and derived C-fluxes
Fire
LAI, NPP
Comparison, validation, synthesis
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Inversion
Forward
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NEE anomalies with 2000-05 mean removed
2002: drought2004: ?
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Inversion
Forward
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MODIS GPP
MODIS LAI
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Variability of the North American Variability of the North American Carbon CycleCarbon Cycle
Ning Zeng and Jinho YoonNing Zeng and Jinho Yoon
Dept. Atmospheric and Oceanic Science andDept. Atmospheric and Oceanic Science andEarth System Science Interdisciplinary Center Earth System Science Interdisciplinary Center
University of MarylandUniversity of Maryland
Collaborators: G. J. Collatz, M. Heimman, C. Roedenbeck, H. Qian, R. Joseph,A. Kumar, A. Vintzileos, A. Mariotti, A. Busalacchi, S. Lord
The big question is, how much would it really cost
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Photosynthesis Autotrophic respiration
Carbon allocation
Turnover
Heterotrophic respiration
4 Plant Functional Types:Broadleaf treeNeedleleaf treeC3 Grass (cold)C4 Grass (warm)
3 Vegetation carbon pools:LeafRootWood
3 Soil carbon pools:FastIntermediateSlow
Atmospheric CO2
The VEgetation-Global Atmosphere-Soil Model (VEGAS)
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VEGAS IIVEGAS IIPhotosynthesis: Photosynthesis:
Light (PAR, LAI, Height), soil moisture, temperature, CO2Light (PAR, LAI, Height), soil moisture, temperature, CO2
Respiration: Respiration:
temperature, soil moisture, lower soil pools slower decaytemperature, soil moisture, lower soil pools slower decay
Competition:Competition:
Net growth, shading => fractional coverNet growth, shading => fractional cover
Fire: Fire:
moisture, fuel load, PFT dependent resistancemoisture, fuel load, PFT dependent resistance
Wetland/CH4: Wetland/CH4:
moisture, topography gradientmoisture, topography gradient
Carbon 13:Carbon 13:
C3/C4 competition: temperature, CO2C3/C4 competition: temperature, CO2
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ConclusionsConclusions There is large differences in the spatial and temporal variability There is large differences in the spatial and temporal variability
on continental-regional scale among the modelson continental-regional scale among the models There is some agreement, especially associated with major There is some agreement, especially associated with major
climatic events such as drought among forward, inversion and climatic events such as drought among forward, inversion and satellite datasatellite data
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