Download Data |
Period Mean (original grids) seas [1] |
Period Mean (original grids) [1] |
Period Mean (original grids) boas [1] |
Period Mean (original grids) tena [1] |
Period Mean (original grids) mide [1] |
Period Mean (original grids) shsa [1] |
Period Mean (original grids) aust [1] |
Period Mean (original grids) nhaf [1] |
Period Mean (original grids) ceam [1] |
Period Mean (original grids) ceas [1] |
Period Mean (original grids) eqas [1] |
Period Mean (original grids) bona [1] |
Period Mean (original grids) euro [1] |
Period Mean (original grids) shaf [1] |
Period Mean (original grids) nhsa [1] |
Model Period Mean (intersection) tena [1] |
Model Period Mean (intersection) seas [1] |
Model Period Mean (intersection) aust [1] |
Model Period Mean (intersection) eqas [1] |
Model Period Mean (intersection) ceam [1] |
Model Period Mean (intersection) nhaf [1] |
Model Period Mean (intersection) nhsa [1] |
Model Period Mean (intersection) ceas [1] |
Model Period Mean (intersection) shaf [1] |
Model Period Mean (intersection) mide [1] |
Model Period Mean (intersection) bona [1] |
Model Period Mean (intersection) boas [1] |
Model Period Mean (intersection) [1] |
Model Period Mean (intersection) euro [1] |
Model Period Mean (intersection) shsa [1] |
Model Period Mean (complement) shaf [1] |
Model Period Mean (complement) seas [1] |
Model Period Mean (complement) aust [1] |
Model Period Mean (complement) bona [1] |
Model Period Mean (complement) [1] |
Model Period Mean (complement) euro [1] |
Model Period Mean (complement) eqas [1] |
Model Period Mean (complement) boas [1] |
Model Period Mean (complement) nhaf [1] |
Model Period Mean (complement) shsa [1] |
Model Period Mean (complement) mide [1] |
Model Period Mean (complement) tena [1] |
Model Period Mean (complement) ceam [1] |
Model Period Mean (complement) ceas [1] |
Model Period Mean (complement) nhsa [1] |
Benchmark Period Mean (intersection) euro [1] |
Benchmark Period Mean (intersection) mide [1] |
Benchmark Period Mean (intersection) nhsa [1] |
Benchmark Period Mean (intersection) tena [1] |
Benchmark Period Mean (intersection) bona [1] |
Benchmark Period Mean (intersection) boas [1] |
Benchmark Period Mean (intersection) [1] |
Benchmark Period Mean (intersection) eqas [1] |
Benchmark Period Mean (intersection) aust [1] |
Benchmark Period Mean (intersection) shsa [1] |
Benchmark Period Mean (intersection) nhaf [1] |
Benchmark Period Mean (intersection) shaf [1] |
Benchmark Period Mean (intersection) ceas [1] |
Benchmark Period Mean (intersection) ceam [1] |
Benchmark Period Mean (intersection) seas [1] |
Benchmark Period Mean (complement) aust [1] |
Benchmark Period Mean (complement) nhaf [1] |
Benchmark Period Mean (complement) seas [1] |
Benchmark Period Mean (complement) ceas [1] |
Benchmark Period Mean (complement) ceam [1] |
Benchmark Period Mean (complement) boas [1] |
Benchmark Period Mean (complement) eqas [1] |
Benchmark Period Mean (complement) [1] |
Benchmark Period Mean (complement) tena [1] |
Benchmark Period Mean (complement) bona [1] |
Benchmark Period Mean (complement) shsa [1] |
Benchmark Period Mean (complement) nhsa [1] |
Benchmark Period Mean (complement) euro [1] |
Benchmark Period Mean (complement) mide [1] |
Benchmark Period Mean (complement) shaf [1] |
Bias seas [1] |
Bias shsa [1] |
Bias nhsa [1] |
Bias eqas [1] |
Bias shaf [1] |
Bias boas [1] |
Bias nhaf [1] |
Bias ceas [1] |
Bias ceam [1] |
Bias [1] |
Bias aust [1] |
Bias bona [1] |
Bias tena [1] |
Bias mide [1] |
Bias euro [1] |
RMSE ceas [1] |
RMSE ceam [1] |
RMSE nhaf [1] |
RMSE mide [1] |
RMSE seas [1] |
RMSE eqas [1] |
RMSE tena [1] |
RMSE bona [1] |
RMSE [1] |
RMSE shaf [1] |
RMSE shsa [1] |
RMSE aust [1] |
RMSE euro [1] |
RMSE nhsa [1] |
RMSE boas [1] |
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 mide [1] |
Bias Score bona [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] |
Overall Score [1] |
|||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Benchmark | [-] | 1.79 | 1.36 | 1.40 | 1.48 | 0.146 | 2.47 | 0.676 | 1.13 | 2.01 | 0.700 | 3.93 | 1.08 | 1.49 | 1.70 | 3.38 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
20191109_storageparms | [-] | 2.89 | 1.58 | 1.84 | 1.58 | 0.128 | 2.67 | 0.643 | 1.03 | 2.14 | 0.770 | 5.34 | 1.12 | 1.53 | 1.45 | 4.58 | 1.58 | 2.89 | 0.643 | 5.34 | 2.14 | 1.03 | 4.58 | 0.770 | 1.45 | 0.128 | 1.12 | 1.28 | 1.49 | 1.53 | 2.67 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 1.49 | 0.146 | 3.38 | 1.48 | 1.08 | 1.40 | 1.36 | 3.93 | 0.676 | 2.47 | 1.13 | 1.70 | 0.700 | 2.01 | 1.79 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 1.10 | 0.198 | 1.19 | 1.41 | -0.256 | -0.127 | -0.0981 | 0.0698 | 0.135 | 0.132 | -0.0331 | 0.0331 | 0.0994 | -0.0181 | 0.0325 | 0.557 | 1.19 | 0.587 | 0.122 | 1.79 | 2.00 | 0.893 | 0.569 | 0.807 | 0.985 | 1.17 | 0.565 | 0.926 | 1.66 | 0.618 | 2.06 | 0.837 | 1.94 | 1.86 | 2.62 | 1.64 | 3.23 | 2.68 | 2.31 | 2.31 | 2.13 | 2.19 | 1.46 | 1.26 | 1.43 | 0.26 | 0.20 | 0.30 | 0.32 | 0.45 | 0.23 | 0.31 | 0.49 | 0.11 | 0.50 | 0.31 | 0.44 | 0.61 | 0.031 | 0.21 | 0.25 | 0.21 | 0.24 | 0.48 | 0.15 | 0.38 | 0.31 | 0.17 | 0.18 | 0.11 | 0.14 | 0.19 | 0.37 | 0.26 | 0.37 | 0.45 | 0.63 | 0.77 | 0.46 | 0.64 | 0.51 | 0.82 | 0.82 | 0.72 | 0.81 | 0.66 | 0.57 | 0.79 | 0.60 | 0.56 | 0.68 | 0.95 | 0.93 | 0.70 | 0.91 | 0.80 | 0.91 | 0.97 | 0.91 | 0.91 | 0.96 | 0.94 | 0.94 | 0.97 | 0.96 | 0.48 | ||
ELM_v1default | [-] | 2.87 | 1.55 | 1.81 | 1.56 | 0.127 | 2.62 | 0.621 | 0.980 | 2.10 | 0.757 | 5.31 | 1.10 | 1.51 | 1.39 | 4.53 | 1.56 | 2.87 | 0.621 | 5.31 | 2.10 | 0.980 | 4.53 | 0.757 | 1.39 | 0.127 | 1.10 | 1.25 | 1.46 | 1.51 | 2.62 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 1.49 | 0.146 | 3.38 | 1.48 | 1.08 | 1.40 | 1.36 | 3.93 | 0.676 | 2.47 | 1.13 | 1.70 | 0.700 | 2.01 | 1.79 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 1.07 | 0.148 | 1.14 | 1.38 | -0.317 | -0.152 | -0.152 | 0.0575 | 0.0940 | 0.105 | -0.0548 | 0.0202 | 0.0810 | -0.0187 | 0.0193 | 0.550 | 1.18 | 0.613 | 0.122 | 1.78 | 1.98 | 0.881 | 0.565 | 0.805 | 1.01 | 1.17 | 0.563 | 0.915 | 1.64 | 0.611 | 2.06 | 0.832 | 1.98 | 1.86 | 2.60 | 1.64 | 3.24 | 2.71 | 2.33 | 2.33 | 2.15 | 2.19 | 1.46 | 1.26 | 1.39 | 0.24 | 0.20 | 0.28 | 0.29 | 0.46 | 0.22 | 0.31 | 0.49 | 0.11 | 0.50 | 0.31 | 0.44 | 0.60 | 0.030 | 0.20 | 0.25 | 0.21 | 0.25 | 0.48 | 0.15 | 0.38 | 0.32 | 0.17 | 0.19 | 0.12 | 0.14 | 0.19 | 0.37 | 0.26 | 0.37 | 0.45 | 0.63 | 0.77 | 0.44 | 0.64 | 0.51 | 0.83 | 0.82 | 0.73 | 0.81 | 0.66 | 0.57 | 0.79 | 0.60 | 0.55 | 0.68 | 0.96 | 0.93 | 0.69 | 0.91 | 0.80 | 0.91 | 0.97 | 0.91 | 0.90 | 0.96 | 0.93 | 0.93 | 0.97 | 0.96 | 0.48 |
Download Data |
Precipitation Hellinger Distance [1] |
Precipitation RMSE Score [1] |
Overall Score [1] |
||
---|---|---|---|---|---|
20191109_storageparms | [-] | 0.163 | 0.82 | 0.82 | |
ELM_v1default | [-] | 0.164 | 0.83 | 0.83 |
creation_date: Wed Mar 5 15:35:03 PST 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 climatology MODIS total leaf area index observations
title: derived MODIS total leaf area index in 0.5x0.5
Approach: I simply read this variable from original hdf file, and save the data in NetCDF format.
Temporal resolution: monthly
General information: This product was derived from MODIS Climatology Leaf Area Index (LAI) from NCAR group.
Spatial resolution: 0.5x0.5 degree
Derived data code: http://redwood.ess.uci.edu/mingquan/www/ILAMB/Download/CODES/CODES/subroutines/convert/convert-lai-modis.ncl