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 [-] 1.30
ACCESS-ESM1-5 [-] 1.54 1.74 1.25 0.119 1.79 0.494 0.0344 0.826 0.430
BCC-CSM2-MR [-] 2.03 2.29 1.27 0.269 1.67 1.02 0.0287 0.781 0.405
CanESM5 [-] 0.627 1.91 1.31 0.184 0.607 0.0398 0.758 0.399
CanESM5-1 [-] 0.607 1.88 1.31 0.168 0.575 0.0380 0.768 0.403
CESM2-WACCM [-] 1.98 2.21 1.26 0.260 1.78 0.948 0.0325 0.581 0.307
CMCC-CM2-SR5 [-] 2.98 3.31 1.26 0.418 1.70 2.05 0.0219 0.334 0.178
CMCC-ESM2 [-] 2.95 3.28 1.26 0.403 1.70 2.02 0.0209 0.339 0.180
CMIP6-ensemble [-] 0.632 2.19 1.30 0.0947 0.892 0.0369 0.837 0.437
EC-Earth3-CC [-] 0.551 2.14 1.31 0.00445 0.836 0.0300 0.720 0.375
EC-Earth3-Veg-LR [-] 0.534 2.06 1.31 0.00847 0.759 0.0304 0.738 0.384
IPSL-CM6A-LR [-] 2.12 2.21 1.24 0.813 1.85 0.975 0.0422 0.904 0.473
MPI-ESM1-2-LR [-] 1.99 2.19 1.16 0.139 1.63 1.02 0.0335 0.853 0.443
NorESM2-LM [-] 0.696 2.21 1.31 0.173 0.909 0.0300 0.632 0.331
NorESM2-MM [-] 0.602 2.14 1.31 0.0722 0.835 0.0351 0.609 0.322
PEcAn [-] 1.90 1.92 1.30 1.60 0.487 0.618 0.0706 0.955 0.513
TaiESM1 [-] 0.546 2.01 1.31 0.0432 0.701 0.0253 0.676 0.351
TRENDY-CABLE-POP [-] 2.10 2.32 1.23 0.0153 1.47 1.09 0.0239 0.840 0.432
TRENDY-ELM [-] 2.55 2.84 1.25 0.367 1.78 1.58 0.0177 0.583 0.300
TRENDY-ensemble [-] 1.95 2.18 1.28 0.375 1.80 0.896 0.0302 0.879 0.454
TRENDY-IBIS [-] 2.30 2.31 1.29 0.142 1.33 1.02 0.0378 0.690 0.364
TRENDY-ISBA-CTRIP [-] 1.79 1.98 1.26 0.228 1.75 0.721 0.0559 0.904 0.480
TRENDY-JSBACH [-] 1.64 1.80 1.16 0.101 1.63 0.644 0.0436 0.936 0.490
TRENDY-JULES [-] 1.97 2.17 1.26 0.0130 1.48 0.914 0.0394 0.818 0.429
TRENDY-LPJml [-] 5.22 5.75 1.28 0.479 1.51 4.47 0.000778 0.300 0.151
TRENDY-LPJwsl [-] 4.74 5.23 1.25 0.0334 1.51 3.97 0.0150 0.209 0.112
TRENDY-LPX [-] 4.38 4.51 1.28 0.0937 1.47 3.23 0.0102 0.196 0.103
TRENDY-ORCHIDEE [-] 1.77 1.96 1.28 0.0317 1.51 0.680 0.0362 0.870 0.453

Temporally integrated period mean

BENCHMARK MEAN
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MODEL MEAN
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BIAS
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BIAS SCORE
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SPATIAL TAYLOR DIAGRAM
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MODEL COLORS
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Spatially integrated regional mean

MODEL COLORS
Data not available
REGIONAL MEAN
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All Models

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