Boreal forest Global - Land Subtropical desert Temperate grassland/desert Temperate rain forest Temperate seasonal forest Tropical rain forest Tropical seasonal forest/savanna Tundra Woodland/shrubland

	Download Data	Period Mean (original grids) [watt/m2]	Model Period Mean (intersection) [watt/m2]	Benchmark Period Mean (intersection) [watt/m2]	Model Period Mean (complement) [watt/m2]	Benchmark Period Mean (complement) [watt/m2]		Bias [watt/m2]	RMSE [watt/m2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	31.1
ACCESS-ESM1-5	[-]	13.6	13.9	31.1	9.85			-17.0	24.7	1.06		0.532	0.556	0.873	0.919	0.687
BCC-CSM2-MR	[-]	10.0	10.3	31.1	2.79			-20.5	26.9	1.51		0.472	0.574	0.801	0.871	0.658
CanESM5	[-]	16.1	16.7	31.1	10.3			-14.0	21.5	1.15		0.575	0.617	0.843	0.944	0.719
CESM2	[-]	20.4	20.6	31.1	15.6			-10.3	19.1	1.03		0.669	0.616	0.889	0.899	0.738
GFDL-ESM4	[-]	9.08	8.93	31.1	12.4			-22.2	29.4	1.11		0.444	0.524	0.868	0.848	0.642
IPSL-CM6A-LR	[-]	16.9	17.3	31.1	9.97			-13.6	21.1	0.991		0.593	0.601	0.893	0.950	0.728
MeanCMIP6	[-]	14.8	15.2	31.1	12.4			-15.9	21.5	0.840		0.546	0.638	0.917	0.961	0.740
MIROC-ESM2L	[-]	7.31	6.71	31.1	9.02			-24.0	30.0	1.05		0.412	0.588	0.882	0.737	0.641
MPI-ESM1.2-HR	[-]	16.1	16.6	31.1	7.30			-14.0	21.6	0.667		0.582	0.633	0.928	0.718	0.699
NorESM2-LM	[-]	19.2	19.4	31.1	16.1			-11.7	21.3	1.26		0.647	0.580	0.848	0.899	0.711
UKESM1-0-LL	[-]	19.1	19.2	31.1	16.4			-11.8	20.7	0.910		0.640	0.586	0.907	0.972	0.738

	Download Data	Period Mean (original grids) [watt/m2]	Model Period Mean (intersection) [watt/m2]	Benchmark Period Mean (intersection) [watt/m2]	Model Period Mean (complement) [watt/m2]	Benchmark Period Mean (complement) [watt/m2]		Bias [watt/m2]	RMSE [watt/m2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	40.6
ACCESS-ESM1-5	[-]	29.1	34.7	40.6	11.3			-6.74	20.2	1.17		0.547	0.531	0.863	0.854	0.665
BCC-CSM2-MR	[-]	34.1	39.3	40.6	16.9			-2.14	22.3	1.28		0.530	0.473	0.850	0.725	0.610
CanESM5	[-]	27.9	32.6	40.6	13.4			-8.67	21.2	1.33		0.513	0.517	0.832	0.899	0.656
CESM2	[-]	33.5	39.6	40.6	13.8			-1.66	17.0	1.17		0.622	0.536	0.861	0.881	0.687
GFDL-ESM4	[-]	23.2	27.7	40.6	12.6			-13.0	21.7	1.16		0.494	0.522	0.876	0.876	0.658
IPSL-CM6A-LR	[-]	29.7	35.5	40.6	11.3			-5.87	16.7	1.08		0.615	0.569	0.879	0.934	0.713
MeanCMIP6	[-]	29.8	34.7	40.6	14.0			-6.39	16.1	1.01		0.620	0.581	0.893	0.911	0.717
MIROC-ESM2L	[-]	22.5	25.3	40.6	14.5			-15.8	25.2	1.24		0.426	0.520	0.844	0.821	0.626
MPI-ESM1.2-HR	[-]	35.7	41.1	40.6	16.2			-0.353	24.1	1.28		0.485	0.454	0.834	0.681	0.581
NorESM2-LM	[-]	34.2	39.6	40.6	16.9			-2.14	17.8	1.33		0.624	0.520	0.836	0.890	0.678
UKESM1-0-LL	[-]	29.0	33.5	40.6	14.4			-8.03	18.3	1.22		0.564	0.560	0.863	0.929	0.695

	Download Data	Period Mean (original grids) [watt/m2]	Model Period Mean (intersection) [watt/m2]	Benchmark Period Mean (intersection) [watt/m2]	Model Period Mean (complement) [watt/m2]	Benchmark Period Mean (complement) [watt/m2]		Bias [watt/m2]	RMSE [watt/m2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	60.7
ACCESS-ESM1-5	[-]	50.9	58.0	60.7	40.8			-4.22	18.7	1.15		0.560	0.559	0.866	0.808	0.671
BCC-CSM2-MR	[-]	68.2	72.5	60.7	61.5			10.3	22.8	1.04		0.520	0.431	0.877	0.868	0.625
CanESM5	[-]	52.3	56.4	60.7	46.5			-5.69	18.0	1.19		0.567	0.559	0.849	0.951	0.697
CESM2	[-]	60.9	66.3	60.7	53.2			4.48	16.6	1.14		0.625	0.551	0.862	0.883	0.694
GFDL-ESM4	[-]	52.8	57.2	60.7	46.2			-3.55	17.3	0.952		0.603	0.537	0.898	0.914	0.698
IPSL-CM6A-LR	[-]	53.5	59.9	60.7	44.6			-1.91	16.1	1.01		0.649	0.555	0.883	0.955	0.719
MeanCMIP6	[-]	57.9	63.1	60.7	50.1			1.64	14.5	0.861		0.679	0.586	0.907	0.983	0.748
MIROC-ESM2L	[-]	53.6	56.0	60.7	49.6			-5.69	20.5	1.15		0.525	0.559	0.852	0.830	0.665
MPI-ESM1.2-HR	[-]	68.4	78.5	60.7	52.9			15.6	27.7	1.42		0.438	0.414	0.818	0.689	0.555
NorESM2-LM	[-]	59.2	64.6	60.7	51.7			2.66	16.5	1.20		0.657	0.549	0.853	0.932	0.708
UKESM1-0-LL	[-]	55.4	60.3	60.7	48.0			-1.92	15.2	0.972		0.634	0.615	0.889	0.902	0.731

	Download Data	Period Mean (original grids) [watt/m2]	Model Period Mean (intersection) [watt/m2]	Benchmark Period Mean (intersection) [watt/m2]	Model Period Mean (complement) [watt/m2]	Benchmark Period Mean (complement) [watt/m2]		Bias [watt/m2]	RMSE [watt/m2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	47.0
ACCESS-ESM1-5	[-]	38.5	38.7	47.0	34.0			-8.51	16.3	0.712		0.642	0.701	0.935	0.930	0.782
BCC-CSM2-MR	[-]	44.9	46.1	47.0	40.3			-1.15	20.0	0.720		0.722	0.548	0.929	0.979	0.745
CanESM5	[-]	36.7	38.0	47.0	30.8			-9.70	18.6	0.894		0.654	0.640	0.906	0.960	0.760
CESM2	[-]	49.0	49.2	47.0	47.3			1.81	13.4	0.606		0.750	0.703	0.949	0.985	0.818
GFDL-ESM4	[-]	45.0	44.4	47.0	43.8			-2.68	17.4	0.563		0.717	0.604	0.954	0.957	0.767
IPSL-CM6A-LR	[-]	40.9	41.9	47.0	35.1			-5.49	17.3	0.787		0.653	0.657	0.923	0.967	0.772
MeanCMIP6	[-]	44.2	44.9	47.0	40.1			-2.20	13.1	0.545		0.755	0.708	0.957	0.930	0.812
MIROC-ESM2L	[-]	35.8	39.2	47.0	27.1			-8.36	18.1	0.536		0.647	0.673	0.950	0.963	0.781
MPI-ESM1.2-HR	[-]	56.0	56.6	47.0	52.4			8.53	21.2	0.724		0.673	0.541	0.930	0.976	0.732
NorESM2-LM	[-]	48.7	49.2	47.0	44.3			1.54	14.6	0.585		0.724	0.688	0.949	0.980	0.806
UKESM1-0-LL	[-]	42.4	42.9	47.0	41.3			-4.86	15.0	0.687		0.680	0.714	0.943	0.893	0.789

	Download Data	Period Mean (original grids) [watt/m2]	Model Period Mean (intersection) [watt/m2]	Benchmark Period Mean (intersection) [watt/m2]	Model Period Mean (complement) [watt/m2]	Benchmark Period Mean (complement) [watt/m2]		Bias [watt/m2]	RMSE [watt/m2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	33.5
ACCESS-ESM1-5	[-]	20.8	22.9	33.5	13.6			-11.9	20.6	1.53		0.419	0.509	0.748	0.945	0.626
BCC-CSM2-MR	[-]	20.2	18.4	33.5	9.42			-15.7	27.0	2.19		0.423	0.390	0.657	0.744	0.521
CanESM5	[-]	17.5	27.9	33.5	22.6			-6.03	26.8	1.98		0.475	0.366	0.715	0.949	0.574
CESM2	[-]	25.7	28.4	33.5	25.3			-6.01	19.3	1.87		0.511	0.466	0.741	0.964	0.630
GFDL-ESM4	[-]	12.0	12.5	33.5	13.3			-20.8	28.4	1.80		0.299	0.436	0.722	0.887	0.556
IPSL-CM6A-LR	[-]	19.3	23.0	33.5	21.4			-9.98	27.0	1.84		0.411	0.466	0.751	0.934	0.606
MeanCMIP6	[-]	19.4	20.4	33.5	16.3			-13.8	22.2	1.42		0.370	0.509	0.786	0.918	0.618
MIROC-ESM2L	[-]	-4.89	0.827	33.5	-2.83			-30.2	38.1	1.58		0.227	0.461	0.764	0.509	0.484
MPI-ESM1.2-HR	[-]	15.0	16.5	33.5	0.936			-15.7	25.7	1.55		0.344	0.502	0.774	0.782	0.581
NorESM2-LM	[-]	27.6	28.3	33.5	20.9			-6.73	18.5	1.95		0.517	0.441	0.692	0.973	0.613
UKESM1-0-LL	[-]	22.2	20.9	33.5	17.6			-13.2	26.7	2.77		0.384	0.461	0.596	0.709	0.522

	Download Data	Period Mean (original grids) [watt/m2]	Model Period Mean (intersection) [watt/m2]	Benchmark Period Mean (intersection) [watt/m2]	Model Period Mean (complement) [watt/m2]	Benchmark Period Mean (complement) [watt/m2]		Bias [watt/m2]	RMSE [watt/m2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	29.2
ACCESS-ESM1-5	[-]	20.6	21.0	29.2	17.8			-8.24	16.7	1.62		0.593	0.518	0.790	0.967	0.677
BCC-CSM2-MR	[-]	22.2	22.8	29.2	14.1			-6.45	21.7	1.92		0.569	0.419	0.727	0.857	0.598
CanESM5	[-]	20.7	19.9	29.2	23.1			-8.47	16.9	1.52		0.566	0.542	0.780	0.963	0.679
CESM2	[-]	29.7	29.6	29.2	28.3			0.274	13.9	1.16		0.643	0.577	0.851	0.967	0.723
GFDL-ESM4	[-]	10.6	10.2	29.2	17.3			-19.0	23.8	1.62		0.347	0.524	0.788	0.878	0.612
IPSL-CM6A-LR	[-]	25.1	25.5	29.2	27.4			-3.48	16.1	1.53		0.632	0.533	0.799	0.960	0.691
MeanCMIP6	[-]	20.7	21.0	29.2	21.6			-8.17	14.5	1.45		0.616	0.594	0.822	0.963	0.718
MIROC-ESM2L	[-]	12.1	11.5	29.2	11.0			-17.6	24.6	1.69		0.393	0.484	0.778	0.805	0.589
MPI-ESM1.2-HR	[-]	18.0	17.9	29.2	11.5			-10.6	19.4	1.49		0.502	0.547	0.795	0.806	0.639
NorESM2-LM	[-]	30.4	30.1	29.2	28.5			0.410	15.1	1.33		0.614	0.545	0.820	0.948	0.695
UKESM1-0-LL	[-]	20.8	20.7	29.2	20.7			-8.37	16.1	1.69		0.592	0.549	0.779	0.952	0.685

	Download Data	Period Mean (original grids) [watt/m2]	Model Period Mean (intersection) [watt/m2]	Benchmark Period Mean (intersection) [watt/m2]	Model Period Mean (complement) [watt/m2]	Benchmark Period Mean (complement) [watt/m2]		Bias [watt/m2]	RMSE [watt/m2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	33.1
ACCESS-ESM1-5	[-]	31.2	32.0	33.1	22.2			-3.31	12.6	1.74		0.436	0.524	0.739	0.527	0.550
BCC-CSM2-MR	[-]	37.8	38.8	33.1	20.7			3.32	18.8	2.11		0.230	0.329	0.663	0.387	0.388
CanESM5	[-]	32.8	34.7	33.1	19.5			-2.02	24.6	2.12		0.172	0.347	0.675	0.256	0.359
CESM2	[-]	33.7	33.8	33.1	27.2			-0.784	11.2	1.64		0.496	0.392	0.756	0.879	0.583
GFDL-ESM4	[-]	20.2	21.1	33.1	13.2			-12.0	18.6	1.84		0.179	0.467	0.738	0.707	0.512
IPSL-CM6A-LR	[-]	27.3	27.9	33.1	21.5			-6.88	11.5	2.01		0.390	0.552	0.695	0.835	0.605
MeanCMIP6	[-]	27.4	27.8	33.1	18.5			-6.50	12.5	1.77		0.352	0.497	0.729	0.807	0.577
MIROC-ESM2L	[-]	9.98	10.1	33.1	2.74			-23.8	28.1	2.12		0.0748	0.408	0.676	0.478	0.409
MPI-ESM1.2-HR	[-]	28.2	28.7	33.1	36.0			-4.99	22.7	2.14		0.181	0.387	0.672	0.205	0.367
NorESM2-LM	[-]	38.2	38.6	33.1	27.3			3.28	12.1	2.17		0.368	0.398	0.670	0.868	0.540
UKESM1-0-LL	[-]	20.0	20.5	33.1	14.9			-13.9	17.9	2.28		0.163	0.503	0.658	0.844	0.534

	Download Data	Period Mean (original grids) [watt/m2]	Model Period Mean (intersection) [watt/m2]	Benchmark Period Mean (intersection) [watt/m2]	Model Period Mean (complement) [watt/m2]	Benchmark Period Mean (complement) [watt/m2]		Bias [watt/m2]	RMSE [watt/m2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	46.0
ACCESS-ESM1-5	[-]	47.1	47.7	46.0	31.8			-0.334	21.5	1.24		0.483	0.455	0.862	0.660	0.583
BCC-CSM2-MR	[-]	53.7	54.7	46.0	31.5			6.81	20.3	1.13		0.486	0.470	0.871	0.755	0.610
CanESM5	[-]	41.3	41.4	46.0	30.1			-6.36	25.5	1.54		0.404	0.404	0.816	0.734	0.552
CESM2	[-]	47.5	47.9	46.0	35.1			0.411	18.1	1.44		0.567	0.439	0.833	0.870	0.629
GFDL-ESM4	[-]	32.6	34.1	46.0	18.0			-11.9	20.7	1.24		0.434	0.464	0.873	0.942	0.635
IPSL-CM6A-LR	[-]	43.1	44.1	46.0	29.9			-3.68	14.5	1.06		0.607	0.537	0.895	0.967	0.709
MeanCMIP6	[-]	42.2	42.8	46.0	27.0			-4.19	15.2	1.15		0.590	0.512	0.884	0.965	0.693
MIROC-ESM2L	[-]	28.5	28.9	46.0	23.2			-18.1	27.6	1.50		0.316	0.440	0.812	0.705	0.543
MPI-ESM1.2-HR	[-]	51.1	50.7	46.0	65.4			2.86	29.6	1.63		0.387	0.336	0.798	0.447	0.461
NorESM2-LM	[-]	47.3	47.8	46.0	34.4			0.0304	17.8	1.61		0.589	0.425	0.801	0.959	0.640
UKESM1-0-LL	[-]	38.1	39.0	46.0	24.8			-8.61	20.2	1.45		0.454	0.472	0.841	0.820	0.612

	Download Data	Period Mean (original grids) [watt/m2]	Model Period Mean (intersection) [watt/m2]	Benchmark Period Mean (intersection) [watt/m2]	Model Period Mean (complement) [watt/m2]	Benchmark Period Mean (complement) [watt/m2]		Bias [watt/m2]	RMSE [watt/m2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	23.8
ACCESS-ESM1-5	[-]	3.44	6.20	23.8	-7.25			-17.3	27.4	0.894		0.538	0.515	0.898	0.825	0.658
BCC-CSM2-MR	[-]	-0.705	2.49	23.8	-13.3			-21.1	28.0	1.16		0.483	0.563	0.880	0.696	0.637
CanESM5	[-]	5.00	9.02	23.8	-11.6			-14.7	23.7	1.16		0.601	0.579	0.872	0.882	0.702
CESM2	[-]	4.78	8.83	23.8	-11.0			-14.7	24.8	0.990		0.603	0.549	0.902	0.898	0.700
GFDL-ESM4	[-]	2.99	5.81	23.8	-5.94			-17.9	27.0	1.03		0.530	0.532	0.892	0.818	0.661
IPSL-CM6A-LR	[-]	5.76	10.2	23.8	-12.2			-13.4	21.2	0.681		0.619	0.628	0.931	0.886	0.738
MeanCMIP6	[-]	4.30	7.78	23.8	-9.17			-15.9	24.0	0.609		0.566	0.579	0.945	0.867	0.707
MIROC-ESM2L	[-]	1.33	3.26	23.8	-5.78			-20.1	28.8	0.649		0.487	0.549	0.930	0.699	0.643
MPI-ESM1.2-HR	[-]	7.82	11.5	23.8	-7.81			-11.7	20.6	0.586		0.643	0.641	0.943	0.880	0.749
NorESM2-LM	[-]	4.03	8.02	23.8	-9.33			-15.9	27.2	1.27		0.579	0.507	0.855	0.881	0.666
UKESM1-0-LL	[-]	6.80	9.94	23.8	-6.48			-13.8	24.8	0.926		0.617	0.528	0.903	0.919	0.699

	Download Data	Period Mean (original grids) [watt/m2]	Model Period Mean (intersection) [watt/m2]	Benchmark Period Mean (intersection) [watt/m2]	Model Period Mean (complement) [watt/m2]	Benchmark Period Mean (complement) [watt/m2]		Bias [watt/m2]	RMSE [watt/m2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Spatial Distribution Score [1]	Overall Score [1]
Benchmark	[-]	37.4
ACCESS-ESM1-5	[-]	32.6	32.4	37.4	25.3			-5.38	16.9	1.05		0.636	0.579	0.877	0.949	0.724
BCC-CSM2-MR	[-]	34.7	35.0	37.4	22.7			-3.16	20.3	1.20		0.657	0.483	0.852	0.961	0.687
CanESM5	[-]	27.1	27.5	37.4	22.1			-9.83	18.3	1.18		0.572	0.583	0.847	0.955	0.708
CESM2	[-]	38.1	38.1	37.4	33.6			0.307	14.3	1.08		0.674	0.612	0.872	0.968	0.748
GFDL-ESM4	[-]	23.9	24.2	37.4	19.4			-13.2	19.2	1.00		0.524	0.599	0.895	0.960	0.715
IPSL-CM6A-LR	[-]	32.7	32.6	37.4	22.1			-5.02	16.7	1.07		0.604	0.610	0.873	0.957	0.731
MeanCMIP6	[-]	32.0	32.4	37.4	25.0			-5.18	13.5	0.918		0.662	0.653	0.899	0.966	0.767
MIROC-ESM2L	[-]	25.7	26.0	37.4	19.2			-11.9	21.6	1.06		0.497	0.564	0.872	0.899	0.679
MPI-ESM1.2-HR	[-]	40.3	40.0	37.4	43.4			1.99	19.4	1.28		0.633	0.507	0.846	0.874	0.674
NorESM2-LM	[-]	38.1	38.5	37.4	32.4			0.576	15.2	1.09		0.669	0.592	0.861	0.973	0.737
UKESM1-0-LL	[-]	32.0	31.9	37.4	29.2			-5.99	15.1	0.986		0.644	0.615	0.890	0.955	0.744

Boreal forest Global - Land Subtropical desert Temperate grassland/desert Temperate rain forest Temperate seasonal forest Tropical rain forest Tropical seasonal forest/savanna Tundra Woodland/shrubland Temporally integrated period mean Temporally integrated period mean max month Temporally integrated mean phase shift Temporally integrated mean phase shift score Temporally integrated period mean bias Temporally integrated period mean bias score Temporally integrated period mean rmse Temporally integrated period mean rmse score Spatially integrated regional mean cycle Spatially integrated regional mean detrended cycle Spatially integrated regional mean

  Title:

FLUXCOM (RS+METEO) Global Land Energy Fluxes using GSWP3 climate data

  Version:

1

  Institutions:

Department Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Germany

  Source:

Data generated by machine learning to merge energy flux measurements from FLUXNET eddy covariance towers with MODIS remote sensing and GSWP3v1 meteorological data (RS+METEO)

  History:

2019-05-07: downloaded source from doi:10.17871/FLUXCOM_EnergyFluxes_v1

2019-06-28: converted to netCDF with https://github.com/mmu2019/Datasets/blob/master/read-sh-fluxcom.py

  References:

Jung, M., S. Koirala, U. Weber, K. Ichii, F. Gans, G. Camps-Valls, D. Papale, C. Schwalm, G. Tramontana, M. Reichstein (2019), The FLUXCOM ensemble of global land-atmosphere energy fluxes, Scientific Data, submitted, 1-12, https://arxiv.org/abs/1812.04951

Tramontana, G., M. Jung, C.R. Schwalm, K. Ichii, G. Camps-Valls, B. Raduly, M. Reichstein, M.A. Arain, A. Cescatti, G. Kiely, L. Merbold, P. Serrano-Ortiz, S. Sickert, S. Wolf, and D. Papale (2016), Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms, Biogeosciences, 13, 4291-4313, doi:10.5194/bg-13-4291-2016

  Comments:

time_period: 1980-01 through 2014-12

original_temporal_resolution: monthly

original_spatial_resolution: 0.5 degree

original_units: MJ/m2/day

final_temporal_resolution: monthly

final_spatial_resolution: 0.5 degree

final_units: watt/m2

  Convention:

CF-1.7