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Evaluating aerosol direct radiative effects on global terrestrial ecosystem carbon dynamics from 2003 to 2010 Cover

Evaluating aerosol direct radiative effects on global terrestrial ecosystem carbon dynamics from 2003 to 2010

By:  and    
Open Access
|Jan 2014

Figures & Tables

Fig. 1

Global potential natural vegetation map used in this study. The map shown here is the map of the dominant plant functional types in each 1°×1° grid cell. The labels are: (1) ice; (2) Alpine tundra and polar deserts; (3) wet tundra; (4) boreal forest; (5) temperate coniferous forest; (6) temperate deciduous forest; (7) grasslands; (8) xeric shrublands; (9) tropical forests; (10) xeric woodland; (11) temperate broadleaved evergreen forest; (12) Mediterranean shrublands.

Table 1. MODIS parameters used in the calculation of downward solar radiation

Data fieldsMODIS product nameDescriptionsTotal_Ozone_MeanMOD08_D3/ MYD08_D3Total ozone column (cm)Cloud_Top_Pressure_MeanMOD08_D3/ MYD08_D3Cloud top pressure (Pa)Cloud_Optical_Thickness_Combined_MeanMOD08_D3/ MYD08_D3Cloud optical thicknessAngstrom_Exponent_Land_MeanMOD08_D3/ MYD08_D3Ångström exponent (Land) for 0.47 and 0.66 micronsDeep_Blue_Angstrom_Exponent_Land_MeanMOD08_D3/ MYD08_D3Deep Blue Ångström Exponent for land (0.412–0.47 micron)Angstrom_Exponent_1_Ocean_MeanMOD08_D3/ MYD08_D3Ångström Exponent (0.550 and 0.865 micron) best solutionOptical_Depth_Land_And_Ocean_MeanMOD08_D3/ MYD08_D3Aerosol Optical Thickness at 0.55 microns for both Ocean and LandDeep_Blue_Aerosol_Optical_Depth_550_Land_MeanMOD08_D3/ MYD08_D3Deep blue aerosol optical depth at 0.55 microns for landAtmospheric_Water_Vapor_MeanMOD08_D3/ MYD08_D3Total perceptible water vapour column (cm)Cloud_Fraction_MeanMOD08_D3/ MYD08_D3Cloud fractionAlbedo_WSA_vis Albedo_WSA_nirMCD43C3White-Sky land Albedo for the VIS and NIR broadbands
Fig. 2

Annual mean land surface solar radiation of 2003–2010 estimated with or without aerosols and their differences. The difference is calculated as the estimates with aerosols subtract the estimates without aerosols.

Fig. 3

Gap-filled 2003–2010 mean values of MODIS AOD, COD and cloud fraction over the global land area.

Fig. 4

Annually averaged differences of S0 and S1 carbon fluxes and land surface environmental variables over the period of 2003–2010. TS is the land surface temperature; ST1 and SM1 are the first soil layer temperature and volumetric moisture content, respectively.

Fig. 5

Differences of the continent-based carbon fluxes over the study period. Error bars denote the standard deviation for the 8-yr values.

Fig. 6

Aerosol-caused changes of annual average global leaf area index.

Fig. 7

Aerosol-induced changes of carbon fluxes and environmental variables at different leaf area index levels. The change is the difference between annual mean values of these variables of the S0 and S1 estimates.

Fig. 8

Differences of plant functional type based carbon fluxes and environmental conditions over the study period. Error bars represent the standard deviation for the 8-yr values. TS is the land surface temperature; ST1 and SM1 are the first soil layer temperature and volumetric moisture content, respectively.

Fig. 9

Annual average leaf area index for each plant functional type of the S0 simulation. Error bars represent the standard deviation for the 8-yr values.

Fig. 10

Photosynthetic parameters for sunlit and shaded leaves. JC and JE: the leaf-scale Rubisco-limited photosynthesis rate and light-limited photosynthesis rate (Units: µmol CO2 m−2 s−1), respectively; GPPsun and GPPsha: canopy GPP (photosynthesis) for sunlit and shaded leaves (Units: g C m−2 yr−1), respectively; Tl: annual average leaf temperature (Units: K).

Fig. 11

Scatterplots of aerosol-induced changes of key carbon fluxes (GPP and RH) and environmental conditions (TS, ST1 and SM1). Units for the carbon fluxes are g C m−2 yr−1.

Fig. 12

Sensitivity of monthly averaged key carbon fluxes (GPP and RH) to unit change of AOD at different thermal and humid conditions. The units of the sensitivity of both the scatterplot and bar plots are g C mon−1.

Fig. 13

Zonal mean differences between carbon fluxes (calculated as S0–S1) averaged over the study period.

Language: English
Page range: 21808 - 21808
Submitted on: Jun 20, 2013
Accepted on: Apr 24, 2014
Published on: Jan 1, 2014
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services

© 2014 Min Chen, Qianlai Zhuang, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.