Mean State

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Period Mean (original grids) seas [%]
Period Mean (original grids) [%]
Period Mean (original grids) boas [%]
Period Mean (original grids) tena [%]
Period Mean (original grids) mide [%]
Period Mean (original grids) shsa [%]
Period Mean (original grids) aust [%]
Period Mean (original grids) nhaf [%]
Period Mean (original grids) ceam [%]
Period Mean (original grids) ceas [%]
Period Mean (original grids) eqas [%]
Period Mean (original grids) bona [%]
Period Mean (original grids) euro [%]
Period Mean (original grids) shaf [%]
Period Mean (original grids) nhsa [%]
Model Period Mean (intersection) tena [%]
Model Period Mean (intersection) seas [%]
Model Period Mean (intersection) aust [%]
Model Period Mean (intersection) eqas [%]
Model Period Mean (intersection) ceam [%]
Model Period Mean (intersection) nhaf [%]
Model Period Mean (intersection) nhsa [%]
Model Period Mean (intersection) ceas [%]
Model Period Mean (intersection) shaf [%]
Model Period Mean (intersection) mide [%]
Model Period Mean (intersection) bona [%]
Model Period Mean (intersection) boas [%]
Model Period Mean (intersection) [%]
Model Period Mean (intersection) euro [%]
Model Period Mean (intersection) shsa [%]
Model Period Mean (complement) shaf [%]
Model Period Mean (complement) seas [%]
Model Period Mean (complement) aust [%]
Model Period Mean (complement) bona [%]
Model Period Mean (complement) [%]
Model Period Mean (complement) euro [%]
Model Period Mean (complement) eqas [%]
Model Period Mean (complement) boas [%]
Model Period Mean (complement) nhaf [%]
Model Period Mean (complement) shsa [%]
Model Period Mean (complement) mide [%]
Model Period Mean (complement) tena [%]
Model Period Mean (complement) ceam [%]
Model Period Mean (complement) ceas [%]
Model Period Mean (complement) nhsa [%]
Benchmark Period Mean (intersection) euro [%]
Benchmark Period Mean (intersection) mide [%]
Benchmark Period Mean (intersection) nhsa [%]
Benchmark Period Mean (intersection) tena [%]
Benchmark Period Mean (intersection) bona [%]
Benchmark Period Mean (intersection) boas [%]
Benchmark Period Mean (intersection) [%]
Benchmark Period Mean (intersection) eqas [%]
Benchmark Period Mean (intersection) aust [%]
Benchmark Period Mean (intersection) shsa [%]
Benchmark Period Mean (intersection) nhaf [%]
Benchmark Period Mean (intersection) shaf [%]
Benchmark Period Mean (intersection) ceas [%]
Benchmark Period Mean (intersection) ceam [%]
Benchmark Period Mean (intersection) seas [%]
Benchmark Period Mean (complement) aust [%]
Benchmark Period Mean (complement) nhaf [%]
Benchmark Period Mean (complement) seas [%]
Benchmark Period Mean (complement) ceas [%]
Benchmark Period Mean (complement) ceam [%]
Benchmark Period Mean (complement) boas [%]
Benchmark Period Mean (complement) eqas [%]
Benchmark Period Mean (complement) [%]
Benchmark Period Mean (complement) tena [%]
Benchmark Period Mean (complement) bona [%]
Benchmark Period Mean (complement) shsa [%]
Benchmark Period Mean (complement) nhsa [%]
Benchmark Period Mean (complement) euro [%]
Benchmark Period Mean (complement) mide [%]
Benchmark Period Mean (complement) shaf [%]
Bias shsa [%]
Bias nhsa [%]
Bias eqas [%]
Bias shaf [%]
Bias boas [%]
Bias nhaf [%]
Bias ceas [%]
Bias ceam [%]
Bias seas [%]
Bias [%]
Bias aust [%]
Bias bona [%]
Bias tena [%]
Bias mide [%]
Bias euro [%]
RMSE ceas [%]
RMSE ceam [%]
RMSE nhaf [%]
RMSE mide [%]
RMSE seas [%]
RMSE eqas [%]
RMSE tena [%]
RMSE bona [%]
RMSE shaf [%]
RMSE shsa [%]
RMSE aust [%]
RMSE euro [%]
RMSE [%]
RMSE nhsa [%]
RMSE boas [%]
Phase Shift bona [months]
Phase Shift mide [months]
Phase Shift nhaf [months]
Phase Shift [months]
Phase Shift shsa [months]
Phase Shift ceas [months]
Phase Shift nhsa [months]
Phase Shift eqas [months]
Phase Shift aust [months]
Phase Shift shaf [months]
Phase Shift ceam [months]
Phase Shift seas [months]
Phase Shift tena [months]
Phase Shift boas [months]
Phase Shift euro [months]
Bias Score shaf [1]
Bias Score seas [1]
Bias Score aust [1]
Bias Score nhaf [1]
Bias Score tena [1]
Bias Score ceam [1]
Bias Score [1]
Bias Score ceas [1]
Bias Score nhsa [1]
Bias Score euro [1]
Bias Score bona [1]
Bias Score mide [1]
Bias Score boas [1]
Bias Score eqas [1]
Bias Score shsa [1]
RMSE Score nhaf [1]
RMSE Score mide [1]
RMSE Score shaf [1]
RMSE Score boas [1]
RMSE Score ceam [1]
RMSE Score ceas [1]
RMSE Score euro [1]
RMSE Score nhsa [1]
RMSE Score shsa [1]
RMSE Score aust [1]
RMSE Score seas [1]
RMSE Score eqas [1]
RMSE Score bona [1]
RMSE Score [1]
RMSE Score tena [1]
Seasonal Cycle Score nhsa [1]
Seasonal Cycle Score [1]
Seasonal Cycle Score bona [1]
Seasonal Cycle Score nhaf [1]
Seasonal Cycle Score seas [1]
Seasonal Cycle Score shsa [1]
Seasonal Cycle Score euro [1]
Seasonal Cycle Score tena [1]
Seasonal Cycle Score mide [1]
Seasonal Cycle Score boas [1]
Seasonal Cycle Score aust [1]
Seasonal Cycle Score ceam [1]
Seasonal Cycle Score ceas [1]
Seasonal Cycle Score shaf [1]
Seasonal Cycle Score eqas [1]
Spatial Distribution Score eqas [1]
Spatial Distribution Score tena [1]
Spatial Distribution Score shaf [1]
Spatial Distribution Score nhsa [1]
Spatial Distribution Score ceam [1]
Spatial Distribution Score seas [1]
Spatial Distribution Score ceas [1]
Spatial Distribution Score bona [1]
Spatial Distribution Score [1]
Spatial Distribution Score mide [1]
Spatial Distribution Score nhaf [1]
Spatial Distribution Score shsa [1]
Spatial Distribution Score aust [1]
Spatial Distribution Score boas [1]
Spatial Distribution Score euro [1]
Interannual Variability Score tena [1]
Interannual Variability Score bona [1]
Interannual Variability Score euro [1]
Interannual Variability Score mide [1]
Interannual Variability Score ceas [1]
Interannual Variability Score seas [1]
Interannual Variability Score ceam [1]
Interannual Variability Score shaf [1]
Interannual Variability Score shsa [1]
Interannual Variability Score [1]
Interannual Variability Score nhaf [1]
Interannual Variability Score nhsa [1]
Interannual Variability Score aust [1]
Interannual Variability Score eqas [1]
Interannual Variability Score boas [1]
Overall Score [1]
Benchmark [-] 0.145 0.319 0.0332 0.0255 0.0253 0.146 0.552 1.25 0.0842 0.122 0.0456 0.0231 0.0247 1.47 0.143
20191109_storageparms [-] 0.0982 0.122 0.0648 0.0553 0.00319 0.181 0.141 0.294 0.202 0.0542 0.146 0.0198 0.0354 0.307 0.124 0.0554 0.0989 0.142 0.146 0.202 0.374 0.124 0.0624 0.311 0.00751 0.0208 0.0450 0.129 0.0354 0.183 1.00e-05 3.48e-07 0.00227 7.84e-06 1.90e-05 6.46e-06 0.00 0.000139 4.19e-05 8.03e-07 8.14e-08 0.00 0.00 2.81e-06 0.00 0.0262 0.0266 0.151 0.0258 0.0235 0.0334 0.332 0.0590 0.576 0.148 1.27 1.51 0.124 0.0909 0.153 0.0968 0.248 0.00908 0.0181 0.0181 0.00256 0.0126 0.0293 0.00419 0.00209 0.0124 0.0187 0.00686 0.00754 0.104 0.0349 -0.0266 0.0870 -1.20 0.0115 -0.894 -0.0615 0.111 -0.0539 -0.203 -0.434 -0.00269 0.0295 -0.0191 0.00918 0.666 0.760 2.87 0.107 0.570 0.552 0.335 0.250 3.34 0.891 2.36 0.205 1.07 0.530 0.495 2.22 2.31 1.55 2.24 2.32 2.42 1.56 2.43 1.99 2.29 2.10 2.04 2.60 2.27 2.29 0.64 0.74 0.75 0.69 0.75 0.65 0.69 0.77 0.69 0.76 0.89 0.74 0.84 0.69 0.71 0.39 0.36 0.36 0.31 0.21 0.35 0.29 0.30 0.26 0.35 0.31 0.23 0.35 0.36 0.27 0.91 0.77 0.77 0.90 0.78 0.75 0.79 0.62 0.77 0.76 0.66 0.75 0.61 0.72 0.80 0.34 0.41 0.13 0.69 0.39 0.46 0.47 0.64 0.25 0.21 0.25 0.69 0.19 0.56 0.70 0.40 0.42 0.48 0.41 0.42 0.51 0.39 0.54 0.45 0.53 0.60 0.49 0.45 0.44 0.42 0.49
ELM_v1default [-] 0.103 0.146 0.0639 0.0573 0.00330 0.202 0.218 0.380 0.219 0.0576 0.145 0.0194 0.0358 0.398 0.128 0.0574 0.104 0.220 0.145 0.219 0.484 0.128 0.0663 0.404 0.00778 0.0204 0.0443 0.155 0.0358 0.204 1.00e-05 4.53e-07 0.00465 8.62e-06 4.74e-05 6.83e-06 0.00 0.000267 0.000145 8.88e-07 1.22e-07 0.00 0.00 2.87e-06 0.00 0.0262 0.0266 0.151 0.0258 0.0235 0.0334 0.332 0.0590 0.576 0.148 1.27 1.51 0.124 0.0909 0.153 0.0968 0.248 0.00908 0.0181 0.0181 0.00256 0.0126 0.0293 0.00419 0.00209 0.0124 0.0187 0.00686 0.00754 0.104 0.0561 -0.0231 0.0860 -1.11 0.0109 -0.784 -0.0576 0.128 -0.0491 -0.177 -0.356 -0.00313 0.0315 -0.0188 0.00958 0.676 0.811 3.09 0.107 0.582 0.550 0.342 0.249 3.51 0.955 2.57 0.209 1.13 0.538 0.491 2.23 2.30 1.66 2.25 2.31 2.43 1.57 2.43 2.00 2.27 2.11 2.03 2.59 2.27 2.29 0.65 0.73 0.76 0.71 0.75 0.64 0.70 0.77 0.68 0.76 0.89 0.74 0.84 0.69 0.71 0.36 0.36 0.35 0.32 0.21 0.35 0.28 0.30 0.25 0.33 0.31 0.24 0.35 0.34 0.27 0.91 0.75 0.77 0.85 0.78 0.75 0.80 0.63 0.77 0.75 0.64 0.76 0.61 0.72 0.80 0.35 0.39 0.20 0.70 0.37 0.50 0.49 0.63 0.34 0.22 0.35 0.69 0.42 0.57 0.69 0.40 0.42 0.47 0.41 0.43 0.51 0.39 0.55 0.46 0.55 0.62 0.50 0.49 0.44 0.42 0.50

Temporally integrated period mean

BENCHMARK MEAN
Data not available
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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
Data not available
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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
ANNUAL CYCLE
Data not available
MONTHLY ANOMALY
Data not available
ANNUAL CYCLE
Data not available

Relationships

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SurfaceAirTemperature Hellinger Distance [1]
Precipitation Hellinger Distance [1]
Precipitation RMSE Score [1]
SurfaceAirTemperature RMSE Score [1]
Overall Score [1]
20191109_storageparms [-] 0.126 0.184 0.51 0.49 0.50
ELM_v1default [-] 0.120 0.182 0.52 0.52 0.52

Precipitation/GPCP2

Data not available
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SurfaceAirTemperature/CRU

Data not available
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All Models

Benchmark
Data not available
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20191109_storageparms
Data not available
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ELM_v1default
Data not available
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Data Information

  creation_date: Tue Jun 28 17:17:43 PDT 2016

  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 0.5 degree GFED4 burned area with small fires observations

  title: derived GFED4 burned area fracttion with small fires

  Approach: I divided the monthly area burned within each grid grid cell, original in units of square kilometers, by the total area in in each land grid cell, then converted the unit to percentage. Meanwhile, I set all grid cells in desert areas to missing. The output files were transformed to netcdf format.

  Temporal resolution: monthly

  General information: This product was derived from GFED4 dataset.

  Spatial resolution: 0.5x0.5 degree

  Derived data code: http://redwood.ess.uci.edu/mingquan/www/ILAMB/Download/CODES/CODES/subroutines/convert/convert-ba-gfed4s.ncl