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	[-]	28.2
ACCESS-ESM1-5	[-]	44.1	44.9	28.2	31.4			16.1	21.1	0.721		0.577	0.672	0.929	0.648	0.699
BCC-CSM2-MR	[-]	29.9	30.2	28.2	23.1			1.76	12.7	0.554		0.843	0.697	0.944	0.742	0.784
CanESM5	[-]	29.5	29.7	28.2	21.4			1.47	15.1	0.767		0.822	0.637	0.913	0.696	0.741
CESM2	[-]	27.8	28.1	28.2	22.7			0.0280	12.4	0.537		0.850	0.697	0.944	0.759	0.789
GFDL-ESM4	[-]	37.2	37.9	28.2	28.8			9.71	14.3	0.431		0.702	0.745	0.960	0.806	0.791
IPSL-CM6A-LR	[-]	31.7	32.1	28.2	23.8			4.04	10.8	0.619		0.813	0.766	0.935	0.778	0.811
MeanCMIP6	[-]	32.1	33.0	28.2	24.2			4.59	10.3	0.466		0.829	0.763	0.955	0.868	0.836
MIROC-ESM2L	[-]	42.0	42.6	28.2	31.9			14.1	20.1	0.722		0.626	0.682	0.922	0.438	0.670
MPI-ESM1.2-HR	[-]	37.4	37.9	28.2	23.4			9.43	15.0	0.554		0.704	0.740	0.947	0.620	0.750
NorESM2-LM	[-]	26.6	27.0	28.2	20.3			-1.25	13.4	0.595		0.845	0.674	0.937	0.754	0.777
UKESM1-0-LL	[-]	30.7	30.8	28.2	24.0			2.48	12.3	0.560		0.863	0.690	0.943	0.836	0.805

	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	[-]	48.9
ACCESS-ESM1-5	[-]	48.9	59.1	48.9	16.0			11.8	23.5	1.21		0.482	0.520	0.798	0.944	0.653
BCC-CSM2-MR	[-]	41.4	49.3	48.9	15.4			2.05	18.2	1.20		0.638	0.528	0.799	0.955	0.690
CanESM5	[-]	44.0	52.0	48.9	17.9			5.85	23.9	1.41		0.525	0.463	0.763	0.919	0.626
CESM2	[-]	38.3	45.6	48.9	13.9			-1.44	16.8	1.18		0.647	0.555	0.788	0.974	0.704
GFDL-ESM4	[-]	49.8	55.1	48.9	37.2			6.17	18.6	1.20		0.604	0.521	0.771	0.978	0.679
IPSL-CM6A-LR	[-]	43.6	52.5	48.9	14.4			5.75	17.9	1.14		0.621	0.547	0.811	0.960	0.697
MeanCMIP6	[-]	43.9	52.1	48.9	17.6			4.67	14.5	0.975		0.659	0.619	0.829	0.975	0.740
MIROC-ESM2L	[-]	55.9	65.9	48.9	25.4			18.4	27.6	1.32		0.400	0.531	0.759	0.865	0.617
MPI-ESM1.2-HR	[-]	41.5	51.4	48.9	5.64			4.05	23.0	1.16		0.489	0.506	0.787	0.903	0.638
NorESM2-LM	[-]	39.0	45.6	48.9	16.8			-1.16	18.3	1.21		0.607	0.549	0.787	0.963	0.691
UKESM1-0-LL	[-]	41.4	49.6	48.9	14.3			2.76	18.5	1.17		0.587	0.557	0.790	0.930	0.684

	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	[-]	23.7	34.4	33.1	7.95			3.89	23.0	1.45		0.485	0.505	0.781	0.529	0.561
BCC-CSM2-MR	[-]	21.4	31.0	33.1	7.59			0.208	20.2	1.33		0.547	0.521	0.808	0.618	0.603
CanESM5	[-]	26.4	35.7	33.1	9.79			5.94	26.6	1.59		0.425	0.454	0.765	0.507	0.521
CESM2	[-]	21.9	30.2	33.1	8.72			-0.646	17.7	1.29		0.589	0.556	0.825	0.680	0.641
GFDL-ESM4	[-]	26.5	34.2	33.1	16.3			1.16	18.9	1.39		0.570	0.509	0.812	0.659	0.612
IPSL-CM6A-LR	[-]	28.3	38.8	33.1	7.85			8.28	24.9	1.34		0.444	0.495	0.814	0.521	0.554
MeanCMIP6	[-]	23.3	32.8	33.1	9.01			1.41	16.9	1.08		0.558	0.611	0.841	0.719	0.668
MIROC-ESM2L	[-]	31.8	44.8	33.1	11.0			13.6	28.2	1.30		0.383	0.499	0.832	0.433	0.529
MPI-ESM1.2-HR	[-]	11.3	17.7	33.1	1.53			-12.2	24.1	1.33		0.417	0.503	0.807	0.558	0.558
NorESM2-LM	[-]	22.7	31.0	33.1	8.43			0.591	20.8	1.33		0.497	0.541	0.825	0.597	0.600
UKESM1-0-LL	[-]	18.5	25.8	33.1	6.89			-4.72	21.4	1.31		0.503	0.538	0.810	0.547	0.587

	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	[-]	25.8
ACCESS-ESM1-5	[-]	28.4	29.1	25.8	22.9			3.85	15.7	1.38		0.618	0.495	0.821	0.575	0.601
BCC-CSM2-MR	[-]	24.9	26.5	25.8	17.7			1.40	14.0	1.13		0.644	0.550	0.851	0.597	0.638
CanESM5	[-]	22.5	23.9	25.8	14.5			1.78	20.3	1.74		0.543	0.436	0.742	0.345	0.500
CESM2	[-]	22.2	23.4	25.8	16.7			-1.61	13.3	0.734		0.618	0.571	0.917	0.627	0.661
GFDL-ESM4	[-]	23.1	25.6	25.8	16.6			-0.194	15.1	1.17		0.632	0.496	0.852	0.608	0.617
IPSL-CM6A-LR	[-]	24.5	27.7	25.8	11.3			3.45	18.0	1.05		0.526	0.494	0.873	0.402	0.558
MeanCMIP6	[-]	24.0	25.5	25.8	17.0			0.447	11.7	0.709		0.656	0.615	0.911	0.708	0.701
MIROC-ESM2L	[-]	34.7	33.7	25.8	32.4			9.56	18.2	0.909		0.553	0.547	0.879	0.341	0.574
MPI-ESM1.2-HR	[-]	16.6	19.1	25.8	7.86			-5.56	18.2	1.26		0.569	0.415	0.824	0.575	0.559
NorESM2-LM	[-]	21.8	22.4	25.8	17.2			-1.84	15.6	0.852		0.554	0.551	0.891	0.493	0.608
UKESM1-0-LL	[-]	20.3	22.5	25.8	15.1			-1.82	16.4	1.13		0.559	0.524	0.858	0.412	0.575

	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	[-]	47.9
ACCESS-ESM1-5	[-]	62.0	72.1	47.9	51.4			23.3	34.1	2.04		0.374	0.362	0.643	0.744	0.497
BCC-CSM2-MR	[-]	62.7	67.0	47.9	52.4			17.1	29.1	1.78		0.424	0.375	0.713	0.742	0.526
CanESM5	[-]	55.9	65.4	47.9	47.3			17.7	34.4	2.56		0.351	0.258	0.581	0.710	0.432
CESM2	[-]	52.4	55.3	47.9	50.9			9.10	22.9	1.99		0.448	0.415	0.663	0.794	0.547
GFDL-ESM4	[-]	67.8	68.3	47.9	63.0			20.5	26.7	1.47		0.336	0.425	0.738	0.838	0.552
IPSL-CM6A-LR	[-]	43.9	48.5	47.9	44.2			5.05	27.2	2.28		0.432	0.312	0.611	0.729	0.479
MeanCMIP6	[-]	64.8	66.0	47.9	54.7			17.0	26.1	1.86		0.386	0.429	0.672	0.824	0.548
MIROC-ESM2L	[-]	85.9	93.7	47.9	75.6			43.0	52.7	2.82		0.148	0.355	0.522	0.676	0.411
MPI-ESM1.2-HR	[-]	61.8	66.1	47.9	47.0			19.1	27.6	1.53		0.348	0.386	0.762	0.704	0.517
NorESM2-LM	[-]	54.8	56.4	47.9	46.6			8.91	23.1	1.67		0.423	0.400	0.721	0.756	0.540
UKESM1-0-LL	[-]	66.0	67.6	47.9	46.8			16.9	28.7	2.02		0.395	0.416	0.678	0.701	0.521

	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	[-]	47.2
ACCESS-ESM1-5	[-]	64.6	64.3	47.2	65.3			17.9	24.3	0.947		0.588	0.684	0.872	0.888	0.743
BCC-CSM2-MR	[-]	49.7	49.5	47.2	59.7			3.35	17.7	0.919		0.791	0.655	0.881	0.901	0.777
CanESM5	[-]	55.7	54.7	47.2	60.5			9.11	20.6	1.06		0.714	0.644	0.857	0.780	0.728
CESM2	[-]	45.4	44.9	47.2	56.9			-0.488	15.5	0.808		0.779	0.704	0.897	0.897	0.796
GFDL-ESM4	[-]	57.7	58.0	47.2	62.1			10.8	17.2	0.615		0.702	0.723	0.922	0.895	0.793
IPSL-CM6A-LR	[-]	50.6	50.5	47.2	57.8			5.12	14.9	0.761		0.797	0.710	0.899	0.818	0.787
MeanCMIP6	[-]	53.6	53.9	47.2	61.2			7.60	14.2	0.656		0.777	0.746	0.917	0.916	0.820
MIROC-ESM2L	[-]	67.3	66.6	47.2	69.1			20.5	28.7	1.08		0.545	0.639	0.852	0.705	0.676
MPI-ESM1.2-HR	[-]	60.7	60.8	47.2	60.8			13.7	20.7	0.637		0.640	0.706	0.920	0.861	0.767
NorESM2-LM	[-]	45.2	45.9	47.2	55.4			0.360	16.0	0.771		0.781	0.691	0.904	0.877	0.789
UKESM1-0-LL	[-]	52.1	51.9	47.2	60.4			6.05	15.7	0.768		0.776	0.709	0.905	0.835	0.787

	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	[-]	103.
ACCESS-ESM1-5	[-]	117.	118.	103.	116.			15.1	24.9	2.52		0.224	0.356	0.591	0.989	0.503
BCC-CSM2-MR	[-]	113.	112.	103.	121.			10.4	21.6	2.61		0.377	0.284	0.587	0.990	0.505
CanESM5	[-]	110.	107.	103.	116.			6.63	29.4	2.44		0.290	0.253	0.617	0.908	0.464
CESM2	[-]	96.9	96.7	103.	101.			-5.42	15.6	2.17		0.412	0.423	0.664	0.845	0.553
GFDL-ESM4	[-]	111.	110.	103.	116.			6.95	20.1	2.34		0.388	0.332	0.630	0.976	0.532
IPSL-CM6A-LR	[-]	99.1	100.	103.	96.5			-2.29	20.6	2.02		0.339	0.335	0.703	0.941	0.530
MeanCMIP6	[-]	111.	111.	103.	112.			8.07	15.3	1.91		0.424	0.472	0.711	0.883	0.592
MIROC-ESM2L	[-]	136.	134.	103.	128.			28.6	33.6	2.64		0.132	0.400	0.571	0.985	0.498
MPI-ESM1.2-HR	[-]	124.	123.	103.	116.			19.1	35.9	2.47		0.140	0.291	0.594	0.695	0.402
NorESM2-LM	[-]	98.0	97.8	103.	106.			-3.64	15.0	2.03		0.368	0.416	0.689	0.814	0.541
UKESM1-0-LL	[-]	115.	115.	103.	111.			11.8	19.0	2.47		0.369	0.403	0.594	0.974	0.548

	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	[-]	80.2
ACCESS-ESM1-5	[-]	91.5	90.9	80.2	109.			13.0	30.2	1.60		0.425	0.445	0.760	0.860	0.587
BCC-CSM2-MR	[-]	81.5	80.1	80.2	113.			2.47	22.8	1.68		0.586	0.475	0.751	0.895	0.636
CanESM5	[-]	87.1	86.1	80.2	108.			9.34	33.0	1.87		0.429	0.388	0.705	0.891	0.560
CESM2	[-]	76.0	74.9	80.2	102.			-2.50	21.4	1.85		0.602	0.488	0.697	0.951	0.645
GFDL-ESM4	[-]	88.4	85.1	80.2	120.			4.94	24.6	2.03		0.574	0.416	0.659	0.989	0.611
IPSL-CM6A-LR	[-]	87.1	85.1	80.2	101.			7.62	21.2	1.65		0.606	0.484	0.749	0.967	0.658
MeanCMIP6	[-]	86.0	85.0	80.2	111.			6.53	17.5	1.53		0.625	0.559	0.762	0.991	0.699
MIROC-ESM2L	[-]	107.	106.	80.2	113.			26.9	36.5	2.04		0.314	0.480	0.672	0.896	0.568
MPI-ESM1.2-HR	[-]	84.2	84.3	80.2	75.1			6.53	32.3	1.73		0.414	0.422	0.712	0.722	0.539
NorESM2-LM	[-]	76.5	75.0	80.2	103.			-1.76	22.4	1.93		0.558	0.494	0.692	0.938	0.635
UKESM1-0-LL	[-]	85.5	84.0	80.2	107.			6.44	24.8	1.73		0.499	0.496	0.718	0.833	0.608

	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	[-]	18.2
ACCESS-ESM1-5	[-]	24.0	28.6	18.2	6.51			9.59	15.2	0.580		0.687	0.698	0.945	0.681	0.742
BCC-CSM2-MR	[-]	13.9	16.5	18.2	3.84			-2.03	13.2	0.784		0.872	0.637	0.937	0.939	0.804
CanESM5	[-]	14.6	17.4	18.2	4.29			-1.33	14.2	0.840		0.880	0.607	0.919	0.947	0.792
CESM2	[-]	13.1	15.6	18.2	3.41			-2.74	13.3	0.790		0.850	0.646	0.934	0.879	0.791
GFDL-ESM4	[-]	21.5	26.0	18.2	7.64			7.78	11.7	0.506		0.739	0.785	0.961	0.831	0.820
IPSL-CM6A-LR	[-]	18.1	21.6	18.2	4.56			2.99	10.5	0.762		0.844	0.741	0.935	0.848	0.822
MeanCMIP6	[-]	16.6	19.7	18.2	4.92			1.08	10.0	0.677		0.898	0.720	0.945	0.937	0.844
MIROC-ESM2L	[-]	21.6	24.9	18.2	8.77			6.07	13.0	0.751		0.768	0.692	0.936	0.740	0.766
MPI-ESM1.2-HR	[-]	18.3	22.1	18.2	2.98			3.62	10.5	0.692		0.817	0.752	0.940	0.740	0.800
NorESM2-LM	[-]	11.5	14.1	18.2	3.08			-4.55	15.4	0.844		0.813	0.595	0.925	0.932	0.772
UKESM1-0-LL	[-]	15.6	18.1	18.2	5.23			-0.435	11.7	0.718		0.896	0.674	0.937	0.978	0.832

	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	[-]	39.8
ACCESS-ESM1-5	[-]	52.5	52.2	39.8	60.0			13.4	20.7	0.875		0.617	0.625	0.883	0.841	0.718
BCC-CSM2-MR	[-]	42.0	41.6	39.8	48.2			3.27	16.1	0.836		0.744	0.637	0.885	0.850	0.751
CanESM5	[-]	44.9	43.7	39.8	47.1			6.08	20.0	1.14		0.678	0.586	0.848	0.736	0.687
CESM2	[-]	38.8	38.4	39.8	48.6			0.0507	16.3	0.782		0.724	0.631	0.903	0.868	0.752
GFDL-ESM4	[-]	48.8	47.8	39.8	68.0			8.12	17.1	0.757		0.693	0.654	0.912	0.834	0.749
IPSL-CM6A-LR	[-]	45.8	44.7	39.8	45.5			6.59	16.6	0.775		0.695	0.650	0.907	0.831	0.747
MeanCMIP6	[-]	44.6	44.1	39.8	53.8			5.39	13.5	0.580		0.746	0.707	0.925	0.901	0.797
MIROC-ESM2L	[-]	56.6	55.8	39.8	64.8			17.5	26.8	0.846		0.510	0.593	0.883	0.584	0.633
MPI-ESM1.2-HR	[-]	42.2	42.5	39.8	35.5			4.16	19.5	0.770		0.684	0.580	0.900	0.785	0.706
NorESM2-LM	[-]	39.6	38.3	39.8	50.8			0.414	17.5	0.748		0.699	0.622	0.906	0.785	0.727
UKESM1-0-LL	[-]	41.2	40.9	39.8	48.8			2.81	16.4	0.778		0.714	0.651	0.902	0.798	0.743

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-le-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