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Benchmark | [-] | 0.304 | ||||||||||||
CLM4 | [-] | 0.370 | 0.350 | 0.503 | 0.303 | 0.536 | 0.0471 | 0.794 | 0.57 | 0.89 | 0.99 | 0.82 | ||
CLM4.5 | [-] | 0.366 | 0.348 | 0.485 | 0.303 | 0.536 | 0.0456 | 0.755 | 0.57 | 0.90 | 0.98 | 0.82 | ||
CLM5 | [-] | 0.349 | 0.328 | 0.489 | 0.303 | 0.536 | 0.0250 | 1.22 | 0.61 | 0.81 | 0.99 | 0.81 |
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Period Mean (original grids) [1] |
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Benchmark | [-] | 0.476 | ||||||||||||
CLM4 | [-] | 0.420 | 0.420 | 0.451 | 0.477 | 0.482 | -0.0574 | 0.791 | 0.53 | 0.92 | 0.54 | 0.66 | ||
CLM4.5 | [-] | 0.534 | 0.536 | 0.467 | 0.477 | 0.482 | 0.0594 | 1.23 | 0.63 | 0.86 | 0.91 | 0.80 | ||
CLM5 | [-] | 0.579 | 0.582 | 0.495 | 0.477 | 0.482 | 0.104 | 1.08 | 0.51 | 0.88 | 0.67 | 0.69 |
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Period Mean (original grids) [1] |
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Benchmark | [-] | 0.419 | ||||||||||||
CLM4 | [-] | 0.439 | 0.427 | 0.502 | 0.419 | 0.456 | 0.00778 | 1.21 | 0.50 | 0.85 | 0.67 | 0.67 | ||
CLM4.5 | [-] | 0.560 | 0.561 | 0.554 | 0.419 | 0.458 | 0.141 | 1.47 | 0.41 | 0.81 | 0.94 | 0.72 | ||
CLM5 | [-] | 0.548 | 0.561 | 0.479 | 0.419 | 0.461 | 0.141 | 1.44 | 0.38 | 0.81 | 0.84 | 0.68 |
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Period Mean (original grids) [1] |
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Benchmark | [-] | 0.515 | ||||||||||||
CLM4 | [-] | 0.559 | 0.561 | 0.561 | 0.517 | 0.517 | 0.0447 | 1.39 | 0.46 | 0.78 | 0.99 | 0.74 | ||
CLM4.5 | [-] | 0.560 | 0.563 | 0.557 | 0.517 | 0.517 | 0.0466 | 1.37 | 0.45 | 0.78 | 0.99 | 0.74 | ||
CLM5 | [-] | 0.528 | 0.528 | 0.537 | 0.517 | 0.517 | 0.0110 | 1.51 | 0.53 | 0.75 | 0.98 | 0.75 |
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Period Mean (original grids) [1] |
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Benchmark | [-] | 0.416 | ||||||||||||
CLM4 | [-] | 0.401 | 0.433 | 0.241 | 0.415 | 0.383 | 0.0181 | 1.69 | 0.56 | 0.76 | 0.97 | 0.76 | ||
CLM4.5 | [-] | 0.417 | 0.449 | 0.256 | 0.415 | 0.383 | 0.0339 | 1.63 | 0.57 | 0.77 | 0.98 | 0.77 | ||
CLM5 | [-] | 0.392 | 0.423 | 0.240 | 0.415 | 0.383 | 0.00798 | 1.99 | 0.58 | 0.70 | 0.98 | 0.75 |
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Period Mean (original grids) [1] |
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Benchmark | [-] | 0.774 | ||||||||||||
CLM4 | [-] | 0.866 | 0.900 | 0.806 | 0.776 | 0.754 | 0.123 | 2.63 | 0.092 | 0.58 | 0.45 | 0.37 | ||
CLM4.5 | [-] | 0.782 | 0.809 | 0.737 | 0.776 | 0.753 | 0.0315 | 2.30 | 0.27 | 0.64 | 0.53 | 0.48 | ||
CLM5 | [-] | 0.725 | 0.740 | 0.700 | 0.776 | 0.753 | -0.0357 | 1.87 | 0.30 | 0.72 | 0.67 | 0.56 |
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Period Mean (original grids) [1] |
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Benchmark | [-] | 0.578 | ||||||||||||
CLM4 | [-] | 0.552 | 0.575 | 0.455 | 0.578 | 0.551 | -0.00282 | 1.61 | 0.54 | 0.74 | 0.89 | 0.72 | ||
CLM4.5 | [-] | 0.568 | 0.595 | 0.453 | 0.578 | 0.551 | 0.0175 | 1.51 | 0.54 | 0.77 | 0.99 | 0.76 | ||
CLM5 | [-] | 0.558 | 0.588 | 0.433 | 0.578 | 0.551 | 0.00984 | 2.17 | 0.51 | 0.63 | 0.99 | 0.71 |
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Period Mean (original grids) [1] |
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Benchmark | [-] | 0.496 | ||||||||||||
CLM4 | [-] | 0.488 | 0.531 | 0.324 | 0.495 | 0.612 | 0.0355 | 1.51 | 0.44 | 0.76 | 0.93 | 0.71 | ||
CLM4.5 | [-] | 0.495 | 0.541 | 0.330 | 0.495 | 0.591 | 0.0455 | 1.59 | 0.51 | 0.75 | 0.99 | 0.75 | ||
CLM5 | [-] | 0.478 | 0.523 | 0.314 | 0.495 | 0.590 | 0.0272 | 1.71 | 0.51 | 0.73 | 0.98 | 0.74 |
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Period Mean (original grids) [1] |
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Benchmark | [-] | 0.287 | ||||||||||||
CLM4 | [-] | 0.162 | 0.350 | 0.0894 | 0.286 | 0.355 | 0.0645 | 2.14 | 0.44 | 0.65 | 0.97 | 0.69 | ||
CLM4.5 | [-] | 0.163 | 0.343 | 0.0939 | 0.286 | 0.355 | 0.0574 | 2.00 | 0.44 | 0.68 | 0.97 | 0.69 | ||
CLM5 | [-] | 0.165 | 0.346 | 0.0948 | 0.286 | 0.355 | 0.0604 | 3.11 | 0.43 | 0.45 | 0.96 | 0.61 |
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Period Mean (original grids) [1] |
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Benchmark | [-] | 0.457 | ||||||||||||
CLM4 | [-] | 0.473 | 0.547 | 0.172 | 0.456 | 0.532 | 0.0906 | 1.67 | 0.48 | 0.69 | 0.99 | 0.72 | ||
CLM4.5 | [-] | 0.442 | 0.510 | 0.169 | 0.456 | 0.532 | 0.0532 | 1.54 | 0.60 | 0.74 | 0.98 | 0.77 | ||
CLM5 | [-] | 0.419 | 0.484 | 0.160 | 0.456 | 0.532 | 0.0274 | 1.46 | 0.66 | 0.76 | 0.97 | 0.80 |
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Period Mean (original grids) [1] |
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Benchmark | [-] | 0.728 | ||||||||||||
CLM4 | [-] | 0.807 | 0.817 | 0.674 | 0.728 | 0.714 | 0.0886 | 2.34 | 0.21 | 0.64 | 0.61 | 0.49 | ||
CLM4.5 | [-] | 0.742 | 0.747 | 0.650 | 0.728 | 0.667 | 0.0180 | 2.11 | 0.40 | 0.67 | 0.79 | 0.62 | ||
CLM5 | [-] | 0.717 | 0.723 | 0.635 | 0.728 | 0.667 | -0.00650 | 2.23 | 0.43 | 0.65 | 0.85 | 0.64 |
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Period Mean (original grids) [1] |
Model Period Mean (intersection) [1] |
Model Period Mean (complement) [1] |
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Benchmark | [-] | 0.583 | ||||||||||||
CLM4 | [-] | 0.661 | 0.661 | 0.665 | 0.584 | 0.723 | 0.0767 | 1.34 | 0.45 | 0.81 | 0.98 | 0.75 | ||
CLM4.5 | [-] | 0.621 | 0.620 | 0.632 | 0.584 | 0.723 | 0.0356 | 1.34 | 0.50 | 0.82 | 0.99 | 0.77 | ||
CLM5 | [-] | 0.603 | 0.601 | 0.621 | 0.584 | 0.723 | 0.0159 | 1.73 | 0.54 | 0.72 | 0.99 | 0.75 |
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Model Period Mean (complement) [1] |
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Benchmark | [-] | 0.502 | ||||||||||||
CLM4 | [-] | 0.531 | 0.550 | 0.398 | 0.502 | 0.549 | 0.0475 | 1.64 | 0.49 | 0.73 | 0.95 | 0.72 | ||
CLM4.5 | [-] | 0.497 | 0.512 | 0.395 | 0.502 | 0.549 | 0.0103 | 1.60 | 0.61 | 0.74 | 0.99 | 0.78 | ||
CLM5 | [-] | 0.468 | 0.482 | 0.376 | 0.502 | 0.549 | -0.0201 | 1.71 | 0.55 | 0.72 | 0.99 | 0.75 |
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Period Mean (original grids) [1] |
Model Period Mean (intersection) [1] |
Model Period Mean (complement) [1] |
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Benchmark | [-] | 0.624 | ||||||||||||
CLM4 | [-] | 0.658 | 0.683 | 0.398 | 0.623 | 0.727 | 0.0611 | 2.03 | 0.29 | 0.67 | 0.94 | 0.63 | ||
CLM4.5 | [-] | 0.614 | 0.636 | 0.389 | 0.624 | 0.634 | 0.0121 | 2.39 | 0.43 | 0.58 | 0.99 | 0.67 | ||
CLM5 | [-] | 0.593 | 0.613 | 0.381 | 0.624 | 0.574 | -0.0107 | 2.25 | 0.42 | 0.62 | 0.98 | 0.67 |
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Period Mean (original grids) [1] |
Model Period Mean (intersection) [1] |
Model Period Mean (complement) [1] |
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Benchmark | [-] | 0.487 | ||||||||||||
CLM4 | [-] | 0.555 | 0.553 | 0.604 | 0.487 | 0.538 | 0.0670 | 1.41 | 0.47 | 0.81 | 0.98 | 0.75 | ||
CLM4.5 | [-] | 0.563 | 0.563 | 0.571 | 0.487 | 0.538 | 0.0765 | 1.56 | 0.48 | 0.79 | 0.99 | 0.75 | ||
CLM5 | [-] | 0.496 | 0.495 | 0.510 | 0.487 | 0.538 | 0.00858 | 1.52 | 0.62 | 0.81 | 0.99 | 0.81 |
Approach: I read variables latent heat (le) and sensible heat (sh) from monthly original data files from 1982 until 2008, then I calculated annual mean for both variables, and I further calculated evaporative fraction (le/(le+sh)) using annual mean for both le and sh I saved the data in NetCDF format.
Temporal resolution: climatology
General information: This product was derived originally from Monthly estimates of global biosphere-atmosphere fluxes from Biogeochemistry group at Max Planck Institute in Jena, Germany.
Spatial resolution: 0.5x0.5 degree
Derived data code: http://redwood.ess.uci.edu/mingquan/www/ILAMB/Download/CODES/CODES/subroutines/convert/convert-EvapFrac-GBAF.ncl