Mean State

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Period Mean (original grids) [1]
Model Period Mean (intersection) [1]
Model Period Mean (complement) [1]
Benchmark Period Mean (intersection) [1]
Benchmark Period Mean (complement) [1]
Bias [1]
RMSE [1]
Phase Shift [months]
Bias Score [1]
RMSE Score [1]
Seasonal Cycle Score [1]
Spatial Distribution Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 0.808
ELM_highlat_0 [-] 1.27 0.848 0.00663 0.828 0.509 0.0190 0.775 1.53 0.47 0.33 0.85 0.62 0.57 0.53
ELM_highlat_phen [-] 1.29 0.867 0.00657 0.828 0.509 0.0379 0.768 1.45 0.49 0.32 0.86 0.64 0.57 0.53

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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RMSE
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RMSE SCORE
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BENCHMARK INTERANNUAL VARIABILITY
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MODEL INTERANNUAL VARIABILITY
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INTERANNUAL VARIABILITY SCORE
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BENCHMARK MAX MONTH
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MODEL MAX MONTH
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DIFFERENCE IN MAX MONTH
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SEASONAL CYCLE SCORE
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SPATIAL TAYLOR DIAGRAM
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MODEL COLORS
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Spatially integrated regional mean

MODEL COLORS
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REGIONAL MEAN
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ANNUAL CYCLE
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MONTHLY ANOMALY
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ANNUAL CYCLE
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Relationships

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Overall Score [1]
ELM_highlat_0 [-] 0.0
ELM_highlat_phen [-] 0.0

All Models

Benchmark
Data not available
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ELM_highlat_0
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ELM_highlat_phen
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Data Information

  creation_date: Tue Mar 25 17:04:13 PDT 2014

  Conventions: Please contact Prof. James Randerson (Email: jranders@uci.edu) or Dr. Mingquan Mu (mmu@uci.edu) for any question

  source_file: This product is generated from monthly 1/12 degree AVHRR BU leaf area index observations

  title: derived AVHRR BU leaf area index in 0.5x0.5

  Approach: I read this variable from original abl files using matlab and simply averaged 15-day (half monthly) data to get monthly data. I also interpolated data from 1/12 (0.0833) degree into 0.5 degree and saved the data in NetCDF format.

  Temporal resolution: monthly

  General information: This product was derived from half monthly AVHRR BU leaf area index from Boston University.

  Spatial resolution: 0.5x0.5 degree

  Derived data code: http://redwood.ess.uci.edu/mingquan/www/ILAMB/Download/CODES/CODES/subroutines/convert/convert-lai-avhrr.ncl