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) Show Plots

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)