Auxiliary Material Submission for Paper 2007GL029742
New constraints on Northern Hemisphere growing season net flux
Z. Yang
Division of Geological and Planetary Science, California Institute of Technology, Pasadena, California, USA.
J. T. Randerson
Department of Earth System Science, University of California, Irvine, California, USA.
R.A. Washenfelder
Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California, USA.
Now at Chemical Sciences Division, Earth System Research Laboratory, NOAA, Boulder, Colorado, USA.
G. Keppel-Aleks
Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California, USA.
N.Y. Krakauer
Division of Geological and Planetary Science, California Institute of Technology, Pasadena, California, USA.
Now at Department of Earth and Planetary Science, University of California, Berkeley, California, USA.
P.P. Tans
Earth System Research Laboratory, National Oceanic and Atmospheric Administration, Boulder, Colorado, USA.
C. Sweeney
Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, Colorado, USA.
P.O. Wennberg (1,3)
Division of Geological and Planetary Science, California Institute of Technology, Pasadena, California, USA.
Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California, USA.
Yang, Z., R. A. Washenfelder, G. Keppel-Aleks, N. Y. Krakauer, J. T. Randerson, P. P. Tans, C. Sweeney, and P. O. Wennberg (2007), New constraints on Northern Hemisphere growing season net flux, Geophys. Res. Lett., 34, L12807, doi:10.1029/2007GL029742.
Introduction
The figures "2007GL029742-fs01.eps" and "2007GL029742-fs02.eps" are used to illustrate our fits to both the eight column and partial-column and the 35 surfaces sites in Table 1. The figure "2007GL029742-fs03.eps" shows the CASA scale factors versus altitude.
The tables "2007GL029742-ts01.txt" and "2007GL029742-ts02.txt" list basic information and fitting results of both the eight column and partial-column and the 35 surface sites in 30N-70N.
1. 2007GL029742-fs01.eps The monthly mean of observations (open diamonds) compared with the TransCom simulations for each of the eight column and partial column sites. In each figure, grey shade show range of 12-model predictions, thin dotted line represents average, and thick solid line is the best fit with scaling and shifting.
2. 2007GL029742-fs02.eps The monthly mean of observations (open diamonds) compared with the TransCom simulations for each of the 35 surface sites. In each figure, grey shade show range of 12-model predictions, thin dotted line represents average, and thick solid line is the best fit with scaling and shifting.
3. 2007GL029742-fs03.eps The optimized scale factors A for CASA terrestrial biosphere model fluxes required for minimizing the difference between the observations and simulations at different altitudes. The A values of 12 model-mean are given at each of the six aircraft sampling sites (marked by different colors). The radius of each circle is proportional to 1/S^2, where S is the fit rms in ppm.
4. 2007GL029742-ts01.txt The detail list of eight column and partial column sites in Table 1.
1.1 Column "Site", standard code name for GlobalView 2006 site.
1.2 Column "Lat", degrees, site latitude.
1.3 Column "Lon", degrees, site longitude.
1.4 Column "A1", mean of scale factor A from 12 models.
1.5 Column "A1std", standard deviation of scale factor A from 12 models.
1.6 Column "T1", mean of phase shift T (in days) from 12 models.
1.7 Column "T1std", standard deviation of phase shift T (in days) from 12 models.
1.8 Column "A2", scale factor A for the mean response of 12 models.
1.9 Column "T2", phase shift T (days) for the mean response of 12 models.
1.10 Column "rms", RMS in fitting the mean response of 12 models (ppm).
1.11 Column "A1f", mean of scale factor A from 12 models, with fossil fuel seasonality.
1.12 Column "A1fstd", standard deviation of scale factor A from 12 models, with fossil fuel seasonality.
1.13 Column "T1f", mean of phase shift T (in days) from 12 models, with fossil fuel seasonality.
1.14 Column "T1fstd", standard deviation of phase shift T (in days) from 12 models, with fossil fuel seasonality.
1.15 Column "A2f", scale factor A for the mean response of 12 models, with fossil fuel seasonality.
1.16 Column "T2f", phase shift T (days) for the mean response of 12 models, with fossil fuel seasonality.
1.17 Column "rmsf", RMS in fitting the mean response of 12 models (ppm), with fossil fuel seasonality.
5. 2007GL029742-ts02.txt The list of 35 surfaces sites used for producing surface scale factor and phase shift in Table 1.
1.1 Column "Site", standard code name for GlobalView 2006 site.
1.2 Column "Type", land ("L") or ocean ("O") sites.
1.3 Column "Lat", degrees, site latitude.
1.4 Column "Lon", degrees, site longitude.
1.5 Column "Alt", meters, site altitude.
1.6 Column "A1", mean of scale factor A from 12 models.
1.7 Column "A1std", standard deviation of scale factor A from 12 models.
1.8 Column "T1", mean of phase shift T (in days) from 12 models.
1.9 Column "T1std", standard deviation of phase shift T (in days) from 12 models.
1.10 Column "A2", scale factor A for the mean response of 12 models.
1.11 Column "T2", phase shift T (days) for the mean response of 12 models.
1.12 Column "rms", RMS in fitting the mean response of 12 models (ppm).
1.13 Column "A1f", mean of scale factor A from 12 models, with fossil fuel seasonality.
1.14 Column "A1fstd", standard deviation of scale factor A from 12 models, with fossil fuel seasonality.
1.15 Column "T1f", mean of phase shift T (in days) from 12 models, with fossil fuel seasonality.
1.16 Column "T1fstd", standard deviation of phase shift T (in days) from 12 models, with fossil fuel seasonality.
1.17 Column "A2f", scale factor A for the mean response of 12 models, with fossil fuel seasonality.
1.18 Column "T2f", phase shift T (days) for the mean response of 12 models, with fossil fuel seasonality.
1.19 Column "rmsf", RMS in fitting the mean response of 12 models (ppm), with fossil fuel seasonality.