CTESSEL developments
 orchidas : cams / CAMS41-CO2 / SIF.v2 Site Map

Project CAMS41
Optimization of the relationship between CHTESSEL GPP and SIF data [per REGION and per SEASON]

 PFT1 (Crops, mixed farming)PFT2 (Short grass)PFT3 (Evergreen needleleaf)PFT4 (Deciduous needleleaf)PFT5 (Deciduous broadleaf)PFT6 (Evergreen broadleaf)PFT7 (Tall grass)PFT9 (Tundra)PFT10 (Irrigated crops)PFT11 (Semidesert)PFT13 (Bogs and marshes)PFT16 (Evergreen shrubs)PFT17 (Deciduous shrubs)PFT18 (Mixed forest - Wood)PFT19 (Interrupted forest) Optimize $$(a,b)$$ per CTESSEL PFT from the relationship$$SIF_\mathsf{SAT} = a \cdot GPP_\mathsf{Jung} + b$$ Calculate inverse coefficients $$(\alpha,\beta)$$$$\alpha = \frac{1}{a}$$$$\beta = -\frac{b}{a}$$ Compute CTESSEL SIF$$SIF_\mathsf{CTESSEL} = a \cdot GPP_\mathsf{CTESSEL} + b$$ Compare SIF for CTESSEL vs SAT$$\Delta SIF = SIF_\mathsf{SAT} - SIF_\mathsf{CTESSEL}$$ Convert difference from SIF to GPP$$\Delta GPP_\mathsf{SAT} = \alpha \cdot \Delta SIF + \beta$$ (old) $$\Delta GPP_\mathsf{SAT} = \alpha \cdot \Delta SIF$$ (new) Compare with GPP difference$$\Delta GPP = GPP_\mathsf{Jung} - GPP_\mathsf{CTESSEL}$$

 PFT maps SIF data
Posterior data for GOSAT
 a_post REGION YEAR WINTER SPRING SUMMER AUTUMN 01 0.116 0.133 0.127 0.108 0.137 01_N 0.109 0.166 0.117 0.11 0.153 01_T 0.123 0.127 0.131 0.121 0.143 01_S 0.12 0.127 0.143 0.134 0.112 b_post REGION YEAR WINTER SPRING SUMMER AUTUMN 01 0.0367 0.0324 0.0232 0.0352 0.0414 01_N 0.0314 0.0222 0.0168 0.0217 0.0364 01_T 0.0579 0.0788 0.0329 0.0429 0.0397 01_S 0.051 0.0177 0.0514 0.0416 0.0609 n_points REGION YEAR WINTER SPRING SUMMER AUTUMN 01 24856 5850 6667 6102 6237 01_N 17087 3941 4461 4378 4307 01_T 4213 1128 1200 840 1045 01_S 3556 781 1006 884 885
 RMSD (SIFGOSAT vs apostGPPJung + bpost) REGION MODE YEAR WINTER SPRING SUMMER AUTUMN 01 all data 0.187 0.198 0.185 0.182 0.182 seasonal 0.186 0.197 0.185 0.181 0.181 01_N all data 0.179 0.196 0.18 0.172 0.17 seasonal 0.179 0.196 0.179 0.172 0.168 01_T all data 0.204 0.194 0.191 0.229 0.207 seasonal 0.203 0.193 0.19 0.228 0.206 01_S all data 0.192 0.203 0.194 0.167 0.204 seasonal 0.191 0.202 0.192 0.167 0.204 Correlation (SIFGOSAT vs apostGPPCTESSEL + bpost) REGION MODE YEAR WINTER SPRING SUMMER AUTUMN 01 all data 0.443 0.427 0.376 0.413 0.431 seasonal 0.443 0.427 0.376 0.413 0.431 01_N all data 0.428 0.145 0.353 0.379 0.324 seasonal 0.425 0.145 0.353 0.379 0.324 01_T all data 0.435 0.339 0.41 0.441 0.451 seasonal 0.426 0.339 0.41 0.441 0.451 01_S all data 0.424 0.472 0.373 0.239 0.355 seasonal 0.414 0.472 0.373 0.239 0.355

Posterior data for GOME2-Joiner
 a_post REGION YEAR WINTER SPRING SUMMER AUTUMN 01 0.159 0.147 0.166 0.152 0.162 01_N 0.186 0.262 0.208 0.159 0.216 01_T 0.122 0.0977 0.11 0.133 0.134 01_S 0.148 0.149 0.165 0.158 0.139 b_post REGION YEAR WINTER SPRING SUMMER AUTUMN 01 0.0675 0.0563 0.0464 0.0948 0.078 01_N 0.0518 0.0237 0.0185 0.103 0.0569 01_T 0.1 0.117 0.0931 0.0763 0.114 01_S 0.082 0.0618 0.0596 0.0755 0.121 n_points REGION YEAR WINTER SPRING SUMMER AUTUMN 01 240600 44595 62853 66966 66186 01_N 145091 20878 38875 43115 42223 01_T 53599 13232 13493 13395 13479 01_S 41910 10485 10485 10456 10484
 RMSD (SIFGOME2-Joiner vs apostGPPJung + bpost) REGION MODE YEAR WINTER SPRING SUMMER AUTUMN 01 all data 0.202 0.204 0.199 0.218 0.186 seasonal 0.202 0.2 0.195 0.225 0.189 01_N all data 0.207 0.198 0.204 0.244 0.171 seasonal 0.206 0.197 0.202 0.243 0.176 01_T all data 0.208 0.194 0.199 0.236 0.21 seasonal 0.208 0.194 0.195 0.235 0.216 01_S all data 0.202 0.226 0.196 0.173 0.215 seasonal 0.203 0.218 0.195 0.173 0.224 Correlation (SIFGOME2-Joiner vs apostGPPCTESSEL + bpost) REGION MODE YEAR WINTER SPRING SUMMER AUTUMN 01 all data 0.74 0.71 0.684 0.722 0.719 seasonal 0.742 0.71 0.684 0.722 0.719 01_N all data 0.778 0.381 0.714 0.714 0.642 seasonal 0.782 0.381 0.714 0.714 0.642 01_T all data 0.704 0.596 0.686 0.69 0.722 seasonal 0.7 0.596 0.686 0.69 0.722 01_S all data 0.663 0.716 0.663 0.415 0.555 seasonal 0.658 0.716 0.663 0.415 0.555

 GPP SIF (all data optimization) SIF (seasonal optimization) Delta GPP (old) Delta GPP (new)