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Benchmark | [-] | 0.140 | |||||||||||||||
CRUNCEPv7 | [-] | 0.174 | 0.174 | 0.151 | 0.161 | 0.0271 | 0.0109 | 0.0330 | 2.47 | 0.37 | 0.27 | 0.61 | 0.73 | 0.70 | 0.49 | ||
GSWP3v1 | [-] | 0.172 | 0.172 | 0.150 | 0.161 | 0.0271 | 0.00836 | 0.0326 | 2.30 | 0.37 | 0.28 | 0.64 | 0.73 | 0.70 | 0.50 | ||
WATCH | [-] | 0.164 | 0.164 | 0.147 | 0.155 | 0.0293 | 0.00754 | 0.0308 | 2.78 | 0.32 | 0.24 | 0.54 | 0.74 | 0.64 | 0.46 |
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Benchmark | [-] | 0.278 | |||||||||||||||
CRUNCEPv7 | [-] | 0.313 | 0.313 | 0.389 | 0.282 | 0.191 | 0.0355 | 0.103 | 1.28 | 0.69 | 0.55 | 0.86 | 0.95 | 0.76 | 0.73 | ||
GSWP3v1 | [-] | 0.330 | 0.329 | 0.353 | 0.282 | 0.191 | 0.0504 | 0.109 | 1.32 | 0.67 | 0.53 | 0.86 | 0.98 | 0.71 | 0.71 | ||
WATCH | [-] | 0.322 | 0.322 | 0.370 | 0.278 | 0.208 | 0.0471 | 0.100 | 1.34 | 0.68 | 0.55 | 0.84 | 0.96 | 0.74 | 0.72 |
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Benchmark | [-] | 0.312 | |||||||||||||||
CRUNCEPv7 | [-] | 0.365 | 0.364 | 0.574 | 0.318 | 0.242 | 0.0644 | 0.132 | 1.50 | 0.63 | 0.56 | 0.81 | 0.83 | 0.79 | 0.70 | ||
GSWP3v1 | [-] | 0.370 | 0.369 | 0.555 | 0.318 | 0.242 | 0.0652 | 0.120 | 1.44 | 0.65 | 0.57 | 0.82 | 0.89 | 0.79 | 0.72 | ||
WATCH | [-] | 0.365 | 0.364 | 0.540 | 0.316 | 0.263 | 0.0625 | 0.125 | 1.58 | 0.63 | 0.55 | 0.79 | 0.88 | 0.77 | 0.70 |
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Benchmark | [-] | 0.123 | |||||||||||||||
CRUNCEPv7 | [-] | 0.151 | 0.151 | 0.149 | 0.133 | 0.0347 | 0.0157 | 0.0376 | 3.97 | 0.32 | 0.25 | 0.32 | 0.45 | 0.72 | 0.39 | ||
GSWP3v1 | [-] | 0.147 | 0.147 | 0.147 | 0.133 | 0.0347 | 0.0126 | 0.0375 | 3.88 | 0.31 | 0.26 | 0.33 | 0.43 | 0.72 | 0.39 | ||
WATCH | [-] | 0.149 | 0.149 | 0.146 | 0.138 | 0.0369 | 0.00903 | 0.0369 | 3.71 | 0.30 | 0.27 | 0.36 | 0.48 | 0.70 | 0.40 |
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Benchmark | [-] | 0.219 | |||||||||||||||
CRUNCEPv7 | [-] | 0.243 | 0.244 | 0.155 | 0.228 | 0.0678 | 0.0127 | 0.0779 | 1.28 | 0.60 | 0.41 | 0.82 | 0.99 | 0.66 | 0.65 | ||
GSWP3v1 | [-] | 0.241 | 0.241 | 0.149 | 0.228 | 0.0678 | 0.00979 | 0.0719 | 1.31 | 0.62 | 0.43 | 0.82 | 0.98 | 0.69 | 0.66 | ||
WATCH | [-] | 0.247 | 0.247 | 0.162 | 0.225 | 0.0689 | 0.0183 | 0.0772 | 1.50 | 0.56 | 0.38 | 0.79 | 0.99 | 0.60 | 0.62 |
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Benchmark | [-] | 0.0886 | |||||||||||||||
CRUNCEPv7 | [-] | 0.138 | 0.138 | 0.140 | 0.111 | 0.0440 | 0.0279 | 0.0414 | 3.30 | 0.25 | 0.34 | 0.43 | 0.020 | 0.46 | 0.31 | ||
GSWP3v1 | [-] | 0.136 | 0.136 | 0.138 | 0.111 | 0.0440 | 0.0257 | 0.0410 | 3.29 | 0.23 | 0.34 | 0.44 | 0.021 | 0.47 | 0.31 | ||
WATCH | [-] | 0.136 | 0.135 | 0.137 | 0.115 | 0.0484 | 0.0211 | 0.0385 | 3.36 | 0.27 | 0.35 | 0.43 | 0.017 | 0.46 | 0.31 |
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Benchmark | [-] | 0.134 | |||||||||||||||
CRUNCEPv7 | [-] | 0.199 | 0.198 | 0.151 | 0.151 | 0.0319 | 0.0406 | 0.0717 | 1.71 | 0.48 | 0.32 | 0.74 | 0.96 | 0.68 | 0.59 | ||
GSWP3v1 | [-] | 0.198 | 0.198 | 0.150 | 0.151 | 0.0319 | 0.0398 | 0.0720 | 1.73 | 0.49 | 0.32 | 0.74 | 0.96 | 0.67 | 0.58 | ||
WATCH | [-] | 0.199 | 0.199 | 0.147 | 0.149 | 0.0353 | 0.0423 | 0.0729 | 2.12 | 0.44 | 0.28 | 0.69 | 0.97 | 0.61 | 0.55 |
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Benchmark | [-] | 0.242 | |||||||||||||||
CRUNCEPv7 | [-] | 0.292 | 0.291 | 0.439 | 0.259 | 0.0965 | 0.0305 | 0.0709 | 2.74 | 0.44 | 0.34 | 0.55 | 0.96 | 0.64 | 0.54 | ||
GSWP3v1 | [-] | 0.291 | 0.290 | 0.426 | 0.259 | 0.0965 | 0.0291 | 0.0684 | 2.70 | 0.44 | 0.35 | 0.56 | 0.96 | 0.64 | 0.55 | ||
WATCH | [-] | 0.291 | 0.290 | 0.419 | 0.257 | 0.104 | 0.0313 | 0.0705 | 2.82 | 0.41 | 0.34 | 0.54 | 0.95 | 0.60 | 0.53 |
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Benchmark | [-] | 0.277 | |||||||||||||||
CRUNCEPv7 | [-] | 0.307 | 0.305 | 0.191 | 0.287 | 0.0486 | 0.00985 | 0.0440 | 2.89 | 0.27 | 0.29 | 0.53 | 0.98 | 0.60 | 0.49 | ||
GSWP3v1 | [-] | 0.306 | 0.304 | 0.192 | 0.287 | 0.0486 | 0.00889 | 0.0445 | 2.85 | 0.27 | 0.27 | 0.53 | 0.98 | 0.62 | 0.49 | ||
WATCH | [-] | 0.307 | 0.305 | 0.189 | 0.287 | 0.0526 | 0.00988 | 0.0447 | 3.02 | 0.26 | 0.29 | 0.50 | 0.99 | 0.55 | 0.48 |
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Benchmark | [-] | 0.223 | |||||||||||||||
CRUNCEPv7 | [-] | 0.220 | 0.227 | 0.202 | 0.227 | 0.0599 | -0.00177 | 0.0300 | 3.62 | 0.38 | 0.26 | 0.38 | 0.99 | 0.58 | 0.48 | ||
GSWP3v1 | [-] | 0.216 | 0.224 | 0.198 | 0.227 | 0.0599 | -0.00531 | 0.0310 | 3.60 | 0.35 | 0.25 | 0.39 | 0.99 | 0.55 | 0.47 | ||
WATCH | [-] | 0.214 | 0.221 | 0.194 | 0.227 | 0.0600 | -0.00773 | 0.0320 | 3.32 | 0.33 | 0.29 | 0.44 | 0.99 | 0.52 | 0.47 |
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Benchmark | [-] | 0.138 | |||||||||||||||
CRUNCEPv7 | [-] | 0.139 | 0.139 | 0.143 | 0.141 | 0.0439 | -0.00269 | 0.0256 | 3.39 | 0.27 | 0.32 | 0.43 | 0.21 | 0.53 | 0.35 | ||
GSWP3v1 | [-] | 0.137 | 0.137 | 0.141 | 0.141 | 0.0439 | -0.00455 | 0.0260 | 3.33 | 0.24 | 0.33 | 0.44 | 0.24 | 0.52 | 0.35 | ||
WATCH | [-] | 0.136 | 0.136 | 0.137 | 0.144 | 0.0464 | -0.00843 | 0.0278 | 3.57 | 0.21 | 0.34 | 0.40 | 0.14 | 0.49 | 0.32 |
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Benchmark | [-] | 0.139 | |||||||||||||||
CRUNCEPv7 | [-] | 0.152 | 0.152 | 0.147 | 0.148 | 0.0465 | 0.00307 | 0.0319 | 3.86 | 0.49 | 0.29 | 0.33 | 0.90 | 0.61 | 0.49 | ||
GSWP3v1 | [-] | 0.149 | 0.149 | 0.145 | 0.148 | 0.0465 | 0.000749 | 0.0308 | 3.84 | 0.48 | 0.30 | 0.33 | 0.85 | 0.59 | 0.48 | ||
WATCH | [-] | 0.148 | 0.148 | 0.143 | 0.148 | 0.0490 | -0.000805 | 0.0323 | 3.88 | 0.44 | 0.30 | 0.32 | 0.92 | 0.56 | 0.47 |
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Benchmark | [-] | 0.151 | |||||||||||||||
CRUNCEPv7 | [-] | 0.156 | 0.156 | 0.176 | 0.153 | 0.0506 | 0.00346 | 0.0272 | 3.42 | 0.42 | 0.24 | 0.42 | 0.92 | 0.61 | 0.48 | ||
GSWP3v1 | [-] | 0.153 | 0.153 | 0.175 | 0.153 | 0.0506 | 0.000575 | 0.0273 | 3.17 | 0.38 | 0.24 | 0.47 | 0.92 | 0.62 | 0.48 | ||
WATCH | [-] | 0.150 | 0.150 | 0.170 | 0.152 | 0.0538 | -0.00184 | 0.0258 | 3.59 | 0.39 | 0.27 | 0.39 | 0.94 | 0.62 | 0.48 |
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Benchmark | [-] | 0.140 | |||||||||||||||
CRUNCEPv7 | [-] | 0.148 | 0.148 | 0.163 | 0.146 | 0.0256 | 0.00288 | 0.0293 | 3.94 | 0.38 | 0.24 | 0.31 | 0.82 | 0.58 | 0.43 | ||
GSWP3v1 | [-] | 0.146 | 0.146 | 0.166 | 0.146 | 0.0256 | 0.000994 | 0.0290 | 3.98 | 0.36 | 0.24 | 0.31 | 0.79 | 0.60 | 0.42 | ||
WATCH | [-] | 0.146 | 0.145 | 0.164 | 0.147 | 0.0282 | -0.000484 | 0.0300 | 4.07 | 0.34 | 0.25 | 0.29 | 0.81 | 0.59 | 0.42 |
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Benchmark | [-] | 0.178 | |||||||||||||||
CRUNCEPv7 | [-] | 0.195 | 0.195 | 0.169 | 0.179 | 0.0303 | 0.0142 | 0.0606 | 1.77 | 0.58 | 0.37 | 0.74 | 0.99 | 0.67 | 0.62 | ||
GSWP3v1 | [-] | 0.186 | 0.187 | 0.167 | 0.179 | 0.0303 | 0.00565 | 0.0561 | 1.81 | 0.62 | 0.39 | 0.72 | 0.97 | 0.70 | 0.63 | ||
WATCH | [-] | 0.203 | 0.203 | 0.167 | 0.179 | 0.0354 | 0.0216 | 0.0724 | 1.82 | 0.54 | 0.33 | 0.73 | 0.97 | 0.58 | 0.58 |
creation_date: Mon Nov 14 11:14:09 PST 2011
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 MODIS 16-day CMG product (MCD43C3) in 0.05x0.05 degree
title: Re-gridded MODIS albedo in 0.5x0.5 degree
Approach: To obtain albedo in 0.5x0.5 resolution from MODIS MCD43C3 16-day 0.05 degree CMG dataset, I averaged all available data in each grid cell of the 0.5x0.5 resolution from the original 0.05 degree resolution. To obtain the monthly data, the data in the original 16 day temporal resolution were first interpolated to daily data, and then averaged all available data based on the calendar date of each month. Derived Data Code: http://redwood.ess.uci.edu/mingquan/www/ILAMB/Download/CODES/CODES/subroutines/convert/convert-albedo-modis.ncl
Temporal resolution: monthly
General information: This product was derived from MODIS MCD43C3 16-day 0.05 degree CMG dataset.
Spatial resolution: 0.5x0.5 degree