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Benchmark | [-] | 0.308 | ||||||||||||
CLM4.0 | [-] | 0.372 | 0.349 | 0.534 | 0.307 | 0.537 | 0.0421 | 0.794 | 0.60 | 0.89 | 0.98 | 0.82 | ||
CLM4.5 | [-] | 0.368 | 0.347 | 0.513 | 0.307 | 0.537 | 0.0408 | 0.754 | 0.58 | 0.90 | 0.95 | 0.81 | ||
CLM5.0 | [-] | 0.347 | 0.322 | 0.515 | 0.307 | 0.537 | 0.0160 | 1.25 | 0.60 | 0.80 | 0.97 | 0.79 |
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Benchmark | [-] | 0.451 | ||||||||||||
CLM4.0 | [-] | 0.403 | 0.402 | 0.458 | 0.452 | 0.480 | -0.0501 | 0.793 | 0.54 | 0.92 | 0.63 | 0.70 | ||
CLM4.5 | [-] | 0.504 | 0.505 | 0.482 | 0.452 | 0.480 | 0.0529 | 1.24 | 0.64 | 0.86 | 0.94 | 0.81 | ||
CLM5.0 | [-] | 0.539 | 0.541 | 0.504 | 0.452 | 0.480 | 0.0885 | 1.08 | 0.53 | 0.87 | 0.67 | 0.69 |
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Benchmark | [-] | 0.408 | ||||||||||||
CLM4.0 | [-] | 0.439 | 0.424 | 0.520 | 0.408 | 0.460 | 0.0160 | 1.21 | 0.52 | 0.85 | 0.68 | 0.68 | ||
CLM4.5 | [-] | 0.545 | 0.540 | 0.572 | 0.408 | 0.463 | 0.131 | 1.46 | 0.45 | 0.82 | 0.92 | 0.73 | ||
CLM5.0 | [-] | 0.524 | 0.531 | 0.486 | 0.408 | 0.465 | 0.123 | 1.44 | 0.43 | 0.81 | 0.86 | 0.70 |
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Benchmark | [-] | 0.513 | ||||||||||||
CLM4.0 | [-] | 0.554 | 0.555 | 0.562 | 0.514 | 0.523 | 0.0402 | 1.37 | 0.45 | 0.79 | 0.99 | 0.74 | ||
CLM4.5 | [-] | 0.550 | 0.552 | 0.554 | 0.514 | 0.523 | 0.0373 | 1.35 | 0.45 | 0.79 | 0.99 | 0.74 | ||
CLM5.0 | [-] | 0.526 | 0.525 | 0.540 | 0.514 | 0.523 | 0.00993 | 1.51 | 0.53 | 0.74 | 0.98 | 0.75 |
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Benchmark | [-] | 0.399 | ||||||||||||
CLM4.0 | [-] | 0.380 | 0.406 | 0.250 | 0.398 | 0.384 | 0.00828 | 1.70 | 0.57 | 0.75 | 0.97 | 0.77 | ||
CLM4.5 | [-] | 0.400 | 0.426 | 0.268 | 0.398 | 0.384 | 0.0285 | 1.62 | 0.58 | 0.77 | 0.98 | 0.78 | ||
CLM5.0 | [-] | 0.354 | 0.377 | 0.234 | 0.398 | 0.384 | -0.0203 | 1.99 | 0.57 | 0.69 | 0.98 | 0.75 |
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Benchmark | [-] | 0.776 | ||||||||||||
CLM4.0 | [-] | 0.867 | 0.902 | 0.808 | 0.778 | 0.757 | 0.123 | 2.61 | 0.093 | 0.59 | 0.44 | 0.37 | ||
CLM4.5 | [-] | 0.784 | 0.810 | 0.738 | 0.778 | 0.756 | 0.0310 | 2.30 | 0.27 | 0.64 | 0.51 | 0.47 | ||
CLM5.0 | [-] | 0.729 | 0.743 | 0.704 | 0.778 | 0.756 | -0.0345 | 1.87 | 0.30 | 0.72 | 0.64 | 0.55 |
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Period Mean (original grids) [1] |
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Benchmark | [-] | 0.586 | ||||||||||||
CLM4.0 | [-] | 0.561 | 0.577 | 0.498 | 0.587 | 0.562 | -0.00938 | 1.61 | 0.57 | 0.74 | 0.95 | 0.75 | ||
CLM4.5 | [-] | 0.580 | 0.601 | 0.496 | 0.587 | 0.562 | 0.0141 | 1.51 | 0.57 | 0.77 | 0.99 | 0.78 | ||
CLM5.0 | [-] | 0.555 | 0.577 | 0.465 | 0.587 | 0.562 | -0.00924 | 2.19 | 0.47 | 0.63 | 0.99 | 0.70 |
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Benchmark | [-] | 0.487 | ||||||||||||
CLM4.0 | [-] | 0.478 | 0.517 | 0.331 | 0.485 | 0.616 | 0.0311 | 1.51 | 0.46 | 0.76 | 0.94 | 0.72 | ||
CLM4.5 | [-] | 0.484 | 0.524 | 0.339 | 0.486 | 0.596 | 0.0385 | 1.59 | 0.52 | 0.75 | 0.99 | 0.75 | ||
CLM5.0 | [-] | 0.461 | 0.500 | 0.318 | 0.486 | 0.593 | 0.0143 | 1.71 | 0.51 | 0.73 | 0.98 | 0.74 |
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Benchmark | [-] | 0.306 | ||||||||||||
CLM4.0 | [-] | 0.179 | 0.376 | 0.103 | 0.305 | 0.374 | 0.0725 | 2.14 | 0.45 | 0.66 | 0.97 | 0.69 | ||
CLM4.5 | [-] | 0.184 | 0.376 | 0.110 | 0.305 | 0.374 | 0.0725 | 1.99 | 0.44 | 0.69 | 0.96 | 0.70 | ||
CLM5.0 | [-] | 0.165 | 0.334 | 0.100 | 0.305 | 0.374 | 0.0300 | 3.14 | 0.50 | 0.44 | 0.94 | 0.63 |
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Period Mean (original grids) [1] |
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Benchmark | [-] | 0.440 | ||||||||||||
CLM4.0 | [-] | 0.444 | 0.517 | 0.148 | 0.440 | 0.532 | 0.0770 | 1.66 | 0.50 | 0.69 | 0.98 | 0.72 | ||
CLM4.5 | [-] | 0.412 | 0.477 | 0.149 | 0.440 | 0.532 | 0.0374 | 1.54 | 0.62 | 0.73 | 0.99 | 0.78 | ||
CLM5.0 | [-] | 0.398 | 0.461 | 0.145 | 0.440 | 0.532 | 0.0211 | 1.45 | 0.66 | 0.76 | 0.99 | 0.80 |
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Benchmark | [-] | 0.730 | ||||||||||||
CLM4.0 | [-] | 0.806 | 0.815 | 0.676 | 0.730 | 0.716 | 0.0843 | 2.33 | 0.22 | 0.64 | 0.61 | 0.49 | ||
CLM4.5 | [-] | 0.740 | 0.744 | 0.653 | 0.731 | 0.669 | 0.0126 | 2.14 | 0.40 | 0.67 | 0.78 | 0.62 | ||
CLM5.0 | [-] | 0.719 | 0.725 | 0.641 | 0.731 | 0.669 | -0.00699 | 2.24 | 0.44 | 0.65 | 0.86 | 0.65 |
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Benchmark | [-] | 0.572 | ||||||||||||
CLM4.0 | [-] | 0.648 | 0.646 | 0.664 | 0.573 | 0.727 | 0.0724 | 1.35 | 0.46 | 0.81 | 0.98 | 0.75 | ||
CLM4.5 | [-] | 0.603 | 0.600 | 0.625 | 0.573 | 0.727 | 0.0264 | 1.33 | 0.52 | 0.82 | 0.99 | 0.78 | ||
CLM5.0 | [-] | 0.590 | 0.585 | 0.622 | 0.573 | 0.727 | 0.0114 | 1.70 | 0.53 | 0.73 | 0.99 | 0.75 |
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Benchmark | [-] | 0.490 | ||||||||||||
CLM4.0 | [-] | 0.510 | 0.526 | 0.403 | 0.489 | 0.543 | 0.0364 | 1.64 | 0.49 | 0.72 | 0.95 | 0.72 | ||
CLM4.5 | [-] | 0.471 | 0.484 | 0.397 | 0.489 | 0.543 | -0.00568 | 1.61 | 0.59 | 0.74 | 0.99 | 0.77 | ||
CLM5.0 | [-] | 0.460 | 0.472 | 0.383 | 0.489 | 0.543 | -0.0172 | 1.72 | 0.55 | 0.71 | 0.98 | 0.75 |
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Benchmark | [-] | 0.625 | ||||||||||||
CLM4.0 | [-] | 0.657 | 0.681 | 0.413 | 0.624 | 0.730 | 0.0576 | 2.04 | 0.29 | 0.67 | 0.95 | 0.64 | ||
CLM4.5 | [-] | 0.610 | 0.631 | 0.404 | 0.625 | 0.642 | 0.00560 | 2.37 | 0.42 | 0.59 | 0.99 | 0.67 | ||
CLM5.0 | [-] | 0.590 | 0.610 | 0.392 | 0.626 | 0.585 | -0.0154 | 2.25 | 0.41 | 0.61 | 0.98 | 0.67 |
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Benchmark | [-] | 0.472 | ||||||||||||
CLM4.0 | [-] | 0.528 | 0.524 | 0.611 | 0.471 | 0.545 | 0.0545 | 1.41 | 0.53 | 0.81 | 0.99 | 0.78 | ||
CLM4.5 | [-] | 0.547 | 0.546 | 0.582 | 0.471 | 0.545 | 0.0751 | 1.59 | 0.50 | 0.78 | 0.99 | 0.76 | ||
CLM5.0 | [-] | 0.455 | 0.451 | 0.517 | 0.471 | 0.545 | -0.0195 | 1.53 | 0.58 | 0.81 | 0.98 | 0.79 |
_NCProperties: version=1|netcdflibversion=4.4.1|hdf5libversion=1.8.17
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