CliMA Land Benchmarks

Performance of CliMA Land global simulations: spatial patterns of annual means
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LSM
Author

Yujie Wang

Published

May 7, 2024

This blog tracks the performance of the CliMA Land global simulations in terms its spatial patterns in the following aspects:

Per release, the major improvements are:

The RMSE per variable per simulation are

Version GPP T NDVI EVI NIRv SIF 683 SIF 740 SIF 757 SIF 771
a14_gm2_wd1 1.785 NA 0.173 0.151 0.498 0.043 0.134 0.095 0.077
a14_gm3_wd1 1.731 NA 0.173 0.151 0.498 0.041 0.132 0.095 0.079
a14_gm4_wd1 1.849 NA 0.173 0.151 0.498 0.039 0.131 0.096 0.081
a13_gm4_wd1 1.980 NA 0.173 0.151 0.498 0.040 0.132 0.097 0.080
a13_gm3_wd1 2.284 NA 0.173 0.151 0.498 0.042 0.134 0.096 0.079
a12_gm3_wd1 1.764 NA 0.173 0.151 0.493 0.044 0.141 0.097 0.079
a11_gm3_wd1 1.368 NA 0.135 0.160 0.257 0.051 0.154 0.095 0.063
a11_gm2_wd1 2.276 NA 0.135 0.160 0.257 0.057 0.178 0.110 0.066
a10_gm2_wd1 2.616 NA 0.135 0.160 0.257 0.071 0.224 0.139 0.076
a9_gm2_wd1 2.751 NA 0.134 0.161 0.257 0.068 0.220 0.136 0.075
a8_gm2_wd1 2.783 NA 0.134 0.161 0.257 0.070 0.231 0.144 0.079
a7_gm1_wd1 2.561 NA 0.139 0.173 0.259 0.074 0.261 0.167 0.091
a6_gm1_wd1 3.371 NA 0.139 0.173 0.259 0.073 0.257 0.163 0.088
a5_gm1_wd1 2.619 NA 0.138 0.174 0.259 0.074 0.260 0.166 0.090
a4_gm1_wd1 2.567 NA 0.138 0.174 0.258 0.057 0.185 0.117 0.068
a3_gm1_wd1 2.382 NA 0.138 0.174 0.258 0.057 0.185 0.117 0.068
a2_gm1_wd1 2.368 NA 0.138 0.174 0.258 0.057 0.185 0.117 0.068
a1_gm1_wd1 2.374 NA 0.138 0.174 0.258 0.047 0.185 0.131 0.065

Model Versions

Version Tag Linear Change History
A14 Compute beta using SWC
Add option to remove Rd from GPP
A13 Fix a bug in PFT fractions
Add C4 photosynthesis support
A12 Fix a bug in f_sunlit (RT impacted)
A11 Not counting Car absorption in PPAR+SIF
Add new SIF spectrum option (V7)
A10 Extend spectra down to 300 nm
Balance FR and VIS PAR in photosyntheis
Bug fix: account for wind in Gb
Remove f_PSII option
Add option to prescribe leaf refl+trans
Add option to use broadband soil albedo
Set f_PPAR to 1 in broadband RT mode
A9 Add option for a TD Kd and maxPSII
Add function to prescribe Kf
A8 Fix a bug in sunlit APAR
A7 Add quadratic colimitation to C3 J (0.7)
Add option to prescribe f_PSII
Add option to set SIF excitation WL
A6 Fix a bug in Medlyn model (coeff 1.6)
Note History in ClimaLand-0.1
A5 Fix SIF yield scaling bug
Add ePAR scenario
Add prescibed CI option
A4 Extend PAR definition to 400-750 nm
A3 Add vertical Vcmax profile
A2 Use minimum beta instead of mean beta
Use moving average optimal T from CLM5
A1 Version used for initial run

Weather Drivers

Version Tag Description
WD1 ERA5 Single Levels

GriddingMachine Selections

GM4

Variable GriddingMachine Tag
s_cc SC_2X_1Y_V1
s_α SOIL_VGA_12X_1Y_V1
s_n SOIL_VGN_12X_1Y_V1
s_Θr SOIL_SWCR_12X_1Y_V1
s_Θs SOIL_SWCS_12X_1Y_V1
p_ch CH_20X_1Y_V1
p_chl CHL_2X_7D_V1
p_ci CI_2X_1M_V3
p_lai LAI_MODIS_2X_8D_YYYY_V1
p_sla SLA_2X_1Y_V1
p_vcm VCMAX_CESM_1X_1M_V3
t_ele ELEV_4X_1Y_V1
t_lm LM_4X_1Y_V1
t_pft PFT_2X_1Y_V1

GM3

Variable GriddingMachine Tag
s_cc SC_2X_1Y_V1
s_α SOIL_VGA_12X_1Y_V1
s_n SOIL_VGN_12X_1Y_V1
s_Θr SOIL_SWCR_12X_1Y_V1
s_Θs SOIL_SWCS_12X_1Y_V1
p_ch CH_20X_1Y_V1
p_chl CHL_2X_7D_V1
p_ci CI_2X_1M_V3
p_lai LAI_MODIS_2X_8D_YYYY_V1
p_sla SLA_2X_1Y_V1
p_vcm VCMAX_2X_1Y_V2 (60%)
t_ele ELEV_4X_1Y_V1
t_lm LM_4X_1Y_V1
t_pft PFT_2X_1Y_V1

GM2 (default)

Variable GriddingMachine Tag
s_cc SC_2X_1Y_V1
s_α SOIL_VGA_12X_1Y_V1
s_n SOIL_VGN_12X_1Y_V1
s_Θr SOIL_SWCR_12X_1Y_V1
s_Θs SOIL_SWCS_12X_1Y_V1
p_ch CH_20X_1Y_V1
p_chl CHL_2X_7D_V1
p_ci CI_2X_1M_V3
p_lai LAI_MODIS_2X_8D_YYYY_V1
p_sla SLA_2X_1Y_V1
p_vcm VCMAX_2X_1Y_V2
t_ele ELEV_4X_1Y_V1
t_lm LM_4X_1Y_V1
t_pft PFT_2X_1Y_V1

GM1

Variable GriddingMachine Tag
s_cc SC_2X_1Y_V1
s_α SOIL_VGA_12X_1Y_V1
s_n SOIL_VGN_12X_1Y_V1
s_Θr SOIL_SWCR_12X_1Y_V1
s_Θs SOIL_SWCS_12X_1Y_V1
p_ch CH_20X_1Y_V1
p_chl CHL_2X_7D_V1
p_ci CI_2X_1Y_V1
p_lai LAI_MODIS_2X_8D_YYYY_V1
p_sla SLA_2X_1Y_V1
p_vcm VCMAX_2X_1Y_V2
t_ele ELEV_4X_1Y_V1
t_lm LM_4X_1Y_V1
t_pft PFT_2X_1Y_V1

Simulation History

a1_gm1_wd1

Spatial patterns of selected parameters.

Comparison to reference datasets (MPI_RS GPP, MODIS NDVI, MODIS EVI, MODIS NIRv, TROPOMI SIF 683, TROPOMI SIF 740, OCO2 SIF 757, OCO2 SIF 771).

a2_gm1_wd1

Spatial patterns of selected parameters.

Comparison to reference datasets (MPI_RS GPP, MODIS NDVI, MODIS EVI, MODIS NIRv, TROPOMI SIF 683, TROPOMI SIF 740, OCO2 SIF 757, OCO2 SIF 771).

a3_gm1_wd1

Spatial patterns of selected parameters.

Comparison to reference datasets (MPI_RS GPP, MODIS NDVI, MODIS EVI, MODIS NIRv, TROPOMI SIF 683, TROPOMI SIF 740, OCO2 SIF 757, OCO2 SIF 771).

a4_gm1_wd1

Spatial patterns of selected parameters.

Comparison to reference datasets (MPI_RS GPP, MODIS NDVI, MODIS EVI, MODIS NIRv, TROPOMI SIF 683, TROPOMI SIF 740, OCO2 SIF 757, OCO2 SIF 771).

a5_gm1_wd1

Spatial patterns of selected parameters.

Comparison to reference datasets (MPI_RS GPP, MODIS NDVI, MODIS EVI, MODIS NIRv, TROPOMI SIF 683, TROPOMI SIF 740, OCO2 SIF 757, OCO2 SIF 771).

a6_gm1_wd1

Spatial patterns of selected parameters.

Comparison to reference datasets (MPI_RS GPP, MODIS NDVI, MODIS EVI, MODIS NIRv, TROPOMI SIF 683, TROPOMI SIF 740, OCO2 SIF 757, OCO2 SIF 771).

a7_gm1_wd1

Spatial patterns of selected parameters.

Comparison to reference datasets (MPI_RS GPP, MODIS NDVI, MODIS EVI, MODIS NIRv, TROPOMI SIF 683, TROPOMI SIF 740, OCO2 SIF 757, OCO2 SIF 771).

a8_gm2_wd1

Spatial patterns of selected parameters.

Comparison to reference datasets (MPI_RS GPP, MODIS NDVI, MODIS EVI, MODIS NIRv, TROPOMI SIF 683, TROPOMI SIF 740, OCO2 SIF 757, OCO2 SIF 771).

a9_gm2_wd1

Spatial patterns of selected parameters.

Comparison to reference datasets (MPI_RS GPP, MODIS NDVI, MODIS EVI, MODIS NIRv, TROPOMI SIF 683, TROPOMI SIF 740, OCO2 SIF 757, OCO2 SIF 771).

a10_gm2_wd1

Spatial patterns of selected parameters.

Comparison to reference datasets (MPI_RS GPP, MODIS NDVI, MODIS EVI, MODIS NIRv, TROPOMI SIF 683, TROPOMI SIF 740, OCO2 SIF 757, OCO2 SIF 771).

a11_gm2_wd1

Spatial patterns of selected parameters.

Comparison to reference datasets (MPI_RS GPP, MODIS NDVI, MODIS EVI, MODIS NIRv, TROPOMI SIF 683, TROPOMI SIF 740, OCO2 SIF 757, OCO2 SIF 771).

a11_gm3_wd1

Spatial patterns of selected parameters.

Comparison to reference datasets (MPI_RS GPP, MODIS NDVI, MODIS EVI, MODIS NIRv, TROPOMI SIF 683, TROPOMI SIF 740, OCO2 SIF 757, OCO2 SIF 771).

a12_gm3_wd1

Spatial patterns of selected parameters.

Comparison to reference datasets (MPI_RS GPP, MODIS NDVI, MODIS EVI, MODIS NIRv, TROPOMI SIF 683, TROPOMI SIF 740, OCO2 SIF 757, OCO2 SIF 771).

a13_gm3_wd1

Spatial patterns of selected parameters.

Comparison to reference datasets (MPI_RS GPP, MODIS NDVI, MODIS EVI, MODIS NIRv, TROPOMI SIF 683, TROPOMI SIF 740, OCO2 SIF 757, OCO2 SIF 771).

a13_gm4_wd1

Spatial patterns of selected parameters.

Comparison to reference datasets (MPI_RS GPP, MODIS NDVI, MODIS EVI, MODIS NIRv, TROPOMI SIF 683, TROPOMI SIF 740, OCO2 SIF 757, OCO2 SIF 771).

a14_gm4_wd1

Spatial patterns of selected parameters.

Comparison to reference datasets (MPI_RS GPP, MODIS NDVI, MODIS EVI, MODIS NIRv, TROPOMI SIF 683, TROPOMI SIF 740, OCO2 SIF 757, OCO2 SIF 771).

a14_gm3_wd1

Spatial patterns of selected parameters.

Comparison to reference datasets (MPI_RS GPP, MODIS NDVI, MODIS EVI, MODIS NIRv, TROPOMI SIF 683, TROPOMI SIF 740, OCO2 SIF 757, OCO2 SIF 771).

a14_gm2_wd1

Spatial patterns of selected parameters.

Comparison to reference datasets (MPI_RS GPP, MODIS NDVI, MODIS EVI, MODIS NIRv, TROPOMI SIF 683, TROPOMI SIF 740, OCO2 SIF 757, OCO2 SIF 771).