Mean State

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Period Mean (original grids) [1]
Model Period Mean (intersection) [1]
Benchmark Period Mean (intersection) [1]
Model Period Mean (complement) [1]
Benchmark Period Mean (complement) [1]
Bias [1]
Bias Score [1]
Spatial Distribution Score [1]
Overall Score [1]
Benchmark [-] 1.27
ACCESS-ESM1-5 [-] 1.56 1.77 1.21 0.117 1.76 0.555 0.0256 0.802 0.414
AWI-ESM-1-1-LR [-] 1.42 1.57 1.12 0.0676 1.56 0.453 0.0560 0.905 0.481
BCC-CSM2-MR [-] 2.06 2.32 1.24 0.269 1.64 1.09 0.0215 0.775 0.398
BCC-ESM1 [-] 2.30 2.54 1.21 1.24 2.07 1.32 0.0216 0.769 0.395
CanESM5 [-] 0.628 1.92 1.27 0.182 0.651 0.0270 0.762 0.394
CanESM5-1 [-] 0.591 1.82 1.27 0.167 0.553 0.0312 0.778 0.405
CESM2 [-] 2.01 2.24 1.22 0.260 1.75 1.02 0.0326 0.550 0.291
CESM2-FV2 [-] 2.10 2.37 1.19 0.514 2.00 1.18 0.0223 0.547 0.285
CESM2-WACCM [-] 1.95 2.17 1.22 0.260 1.75 0.951 0.0329 0.549 0.291
CESM2-WACCM-FV2 [-] 2.13 2.40 1.19 0.547 2.00 1.20 0.0223 0.514 0.268
CMCC-CM2-SR5 [-] 3.02 3.36 1.22 0.396 1.67 2.14 0.0172 0.311 0.164
CMCC-ESM2 [-] 3.13 3.49 1.22 0.392 1.67 2.26 0.0168 0.321 0.169
CMIP6-ensemble [-] 0.650 2.21 1.27 0.113 0.939 0.0310 0.865 0.448
EC-Earth3-CC [-] 0.565 2.20 1.27 0.00453 0.926 0.0244 0.709 0.367
EC-Earth3-Veg [-] 0.561 2.18 1.27 0.00438 0.909 0.0224 0.725 0.374
EC-Earth3-Veg-LR [-] 0.520 2.01 1.27 0.00843 0.739 0.0273 0.739 0.383
GFDL-ESM4 [-] 0.995 2.97 1.27 0.316 1.70 0.0234 0.706 0.365
IPSL-CM5A2-INCA [-] 1.80 1.97 1.22 0.481 1.78 0.749 0.0289 0.796 0.413
IPSL-CM6A-LR [-] 2.07 2.17 1.20 0.816 1.83 0.967 0.0461 0.893 0.469
IPSL-CM6A-LR-INCA [-] 2.05 2.14 1.20 0.849 1.83 0.941 0.0341 0.905 0.470
MPI-ESM-1-2-HAM [-] 2.03 2.23 1.13 0.144 1.60 1.10 0.0262 0.847 0.436
MPI-ESM1-2-LR [-] 2.02 2.22 1.13 0.140 1.60 1.09 0.0286 0.857 0.443
NorESM2-LM [-] 0.689 2.19 1.27 0.173 0.917 0.0304 0.629 0.329
NorESM2-MM [-] 0.557 1.98 1.27 0.0685 0.706 0.0394 0.660 0.350
PEcAn [-] 1.83 1.85 1.27 1.50 0.475 0.581 0.0646 0.955 0.510
SAM0-UNICON [-] 1.95 2.18 1.22 0.249 1.75 0.956 0.0306 0.580 0.305
TaiESM1 [-] 0.587 2.15 1.27 0.0482 0.883 0.0219 0.618 0.320
TRENDY-CABLE-POP [-] 2.01 2.22 1.20 0.0152 1.46 1.03 0.0202 0.838 0.429
TRENDY-ELM [-] 2.49 2.77 1.22 0.360 1.75 1.55 0.0190 0.588 0.303
TRENDY-ensemble [-] 1.92 2.14 1.25 0.371 1.77 0.886 0.0304 0.876 0.453
TRENDY-IBIS [-] 2.26 2.28 1.26 0.132 1.31 1.02 0.0317 0.682 0.357
TRENDY-ISBA-CTRIP [-] 1.74 1.92 1.23 0.224 1.72 0.693 0.0542 0.916 0.485
TRENDY-JSBACH [-] 1.63 1.80 1.13 0.0966 1.60 0.673 0.0383 0.935 0.486
TRENDY-JULES [-] 1.92 2.12 1.22 0.0128 1.46 0.897 0.0356 0.811 0.423
TRENDY-LPJml [-] 5.05 5.56 1.25 0.480 1.48 4.31 0.00134 0.298 0.150
TRENDY-LPJwsl [-] 4.47 4.93 1.22 0.0272 1.49 3.71 0.0136 0.200 0.107
TRENDY-LPX [-] 3.99 4.10 1.25 0.0876 1.45 2.86 0.0105 0.229 0.120
TRENDY-ORCHIDEE [-] 1.73 1.92 1.25 0.0314 1.48 0.670 0.0338 0.861 0.447

Temporally integrated period mean

BENCHMARK MEAN
Data not available
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MODEL MEAN
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BIAS
Data not available
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BIAS SCORE
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SPATIAL TAYLOR DIAGRAM
Data not available
MODEL COLORS
Data not available

Spatially integrated regional mean

MODEL COLORS
Data not available
REGIONAL MEAN
Data not available

All Models

Benchmark
Data not available
Data not available
ACCESS-ESM1-5
Data not available
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AWI-ESM-1-1-LR
Data not available
Data not available
BCC-CSM2-MR
Data not available
Data not available
BCC-ESM1
Data not available
Data not available
CanESM5
Data not available
Data not available
CanESM5-1
Data not available
Data not available
CESM2
Data not available
Data not available
CESM2-FV2
Data not available
Data not available
CESM2-WACCM
Data not available
Data not available
CESM2-WACCM-FV2
Data not available
Data not available
CMCC-CM2-SR5
Data not available
Data not available
CMCC-ESM2
Data not available
Data not available
CMIP6-ensemble
Data not available
Data not available
EC-Earth3-CC
Data not available
Data not available
EC-Earth3-Veg
Data not available
Data not available
EC-Earth3-Veg-LR
Data not available
Data not available
GFDL-ESM4
Data not available
Data not available
IPSL-CM5A2-INCA
Data not available
Data not available
IPSL-CM6A-LR
Data not available
Data not available
IPSL-CM6A-LR-INCA
Data not available
Data not available
MPI-ESM-1-2-HAM
Data not available
Data not available
MPI-ESM1-2-LR
Data not available
Data not available
NorESM2-LM
Data not available
Data not available
NorESM2-MM
Data not available
Data not available
PEcAn
Data not available
Data not available
SAM0-UNICON
Data not available
Data not available
TaiESM1
Data not available
Data not available
TRENDY-CABLE-POP
Data not available
Data not available
TRENDY-ELM
Data not available
Data not available
TRENDY-ensemble
Data not available
Data not available
TRENDY-IBIS
Data not available
Data not available
TRENDY-ISBA-CTRIP
Data not available
Data not available
TRENDY-JSBACH
Data not available
Data not available
TRENDY-JULES
Data not available
Data not available
TRENDY-LPJml
Data not available
Data not available
TRENDY-LPJwsl
Data not available
Data not available
TRENDY-LPX
Data not available
Data not available
TRENDY-ORCHIDEE
Data not available
Data not available

Data Information

  Title:
Spatiotemporally consistent global dataset of the GIMMS Leaf Area Index (GIMMS LAI4g) from 1982 to 2020

  Institution:

  Source:
The GIMMS LAI4g was generated based on biome-specific BPNN models that employed the latest PKU GIMMS NDVI product and 3.6 million high-quality global Landsat LAI samples. It was then consolidated with the Reprocess MODIS LAI to extend the temporal coverage to 2020 via a pixel-wise Random Forests fusion method.

  History:
2024-10-02 15:40:15: downloaded source from https://zenodo.org/records/8281930/files/GIMMS_LAI4g_AVHRR_MODIS_consolidated_2011_2020.zip?download=1 2024-10-03 12:11:11: calcualted monthly means 2024-10-03 12:11:11: resampled to 0.5 degree resolution 2024-10-03 12:11:11: concatenated all years and months into one netcdf along the time dimension 2024-10-03 12:11:11: created CF-compliant metadata 2024-10-03 12:11:11: details on this process can be found at https://github.com/rubisco-sfa/ILAMB-Data/blob/master/GIMMS_LAIg4/convert.py

  References:
Cao, S. and Li, M. and Zhu, Z. and Wang, Z. and Zha, J. and Zhao, W. and Duanmu, Z. and Chen, J. and Zheng, Y. and Chen, Y. and Myneni, R.B. and Piao, S. (2023), Spatiotemporally consistent global dataset of the GIMMS Leaf Area Index (GIMMS LAI4g) from 1982 to 2020, Earth Syst. Sci., 10.5194/essd-2023-68}

  Conventions:
CF-1.11

  Comment: