Africa - South Asia - East Siberia Asia - Indonesia Asia - North Central Australia Europe Globe Middle East and Sahara North America - Eastern United States North America - Southern Canada North America - Western United States South America - Amazon

	Download Data	Period Mean (original grids) [Watt/m2]		Bias [Watt/m2]	RMSE [Watt/m2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Interannual Variability Score [1]	Overall Score [1]
Benchmark	[-]	131.
CESM2_1_001	[-]	106.		-22.6	30.9	0.00		0.216	0.497	1.00	0.359	0.514
CESM2_1_002	[-]	105.		-23.4	30.2	0.983		0.210	0.529	0.937	0.744	0.590
CESM2_1_003	[-]	105.		-23.0	29.2	1.03		0.213	0.571	0.930	0.779	0.613
CRUJRA	[-]	92.4		-45.2	48.2	0.00		0.0937	0.607	1.00	0.898	0.641
GSWP3	[-]	90.1		-46.4	48.7	0.00		0.0897	0.595	1.00	0.793	0.615
LENS1	[-]	101.		-31.7	38.4	0.983		0.155	0.464	0.937	0.703	0.544
LENS10	[-]	101.		-30.4	39.0	0.00		0.163	0.455	1.00	0.752	0.565
LENS5	[-]	102.		-30.2	38.2	0.00		0.164	0.480	1.00	0.713	0.567
PRINCETON	[-]	84.9		-43.6	45.3	0.00		0.0994	0.589	1.00	0.787	0.613

	Download Data	Period Mean (original grids) [Watt/m2]		Bias [Watt/m2]	RMSE [Watt/m2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Interannual Variability Score [1]	Overall Score [1]
Benchmark	[-]	54.1
CESM2_1_001	[-]	24.6		-29.5	30.0	0.00		0.563	0.522	1.00	0.953	0.712
CESM2_1_002	[-]	22.4		-31.7	30.8	0.00		0.539	0.548	1.00	0.967	0.720
CESM2_1_003	[-]	24.4		-29.6	32.8	0.00		0.561	0.515	1.00	0.947	0.707
CRUJRA	[-]	22.4		-31.7	31.3	0.00		0.539	0.469	1.00	0.778	0.651
GSWP3	[-]	28.3		-25.8	26.9	0.00		0.605	0.544	1.00	0.929	0.724
LENS1	[-]	17.6		-36.5	29.9	1.02		0.491	0.545	0.933	0.995	0.702
LENS10	[-]	17.2		-36.9	27.6	1.02		0.487	0.593	0.933	0.964	0.714
LENS5	[-]	17.3		-36.8	32.3	0.00		0.488	0.561	1.00	0.992	0.720
PRINCETON	[-]	28.2		-25.9	29.0	0.00		0.604	0.547	1.00	0.948	0.729

	Download Data	Period Mean (original grids) [Watt/m2]		Bias [Watt/m2]	RMSE [Watt/m2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Interannual Variability Score [1]	Overall Score [1]
Benchmark	[-]	147.
CESM2_1_001	[-]	128.		-18.9	24.9	1.02		0.367	0.363	0.933	0.765	0.558
CESM2_1_002	[-]	129.		-17.7	27.5	2.00		0.391	0.278	0.756	0.759	0.493
CESM2_1_003	[-]	128.		-18.8	28.0	2.00		0.368	0.315	0.756	0.728	0.496
CRUJRA	[-]	153.		6.40	21.6	0.00		0.712	0.340	1.00	0.649	0.608
GSWP3	[-]	132.		-14.7	26.8	4.08		0.460	0.289	0.244	0.676	0.391
LENS1	[-]	116.		-30.2	36.1	1.02		0.201	0.245	0.933	0.970	0.519
LENS10	[-]	112.		-34.9	41.0	2.00		0.157	0.311	0.756	0.790	0.465
LENS5	[-]	112.		-34.3	41.9	1.02		0.163	0.270	0.933	0.732	0.473
PRINCETON	[-]	125.		-21.6	27.3	0.00		0.318	0.369	1.00	0.617	0.535

	Download Data	Period Mean (original grids) [Watt/m2]		Bias [Watt/m2]	RMSE [Watt/m2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Interannual Variability Score [1]	Overall Score [1]
Benchmark	[-]	42.7
CESM2_1_001	[-]	42.1		0.390	28.6	1.02		0.496	0.572	0.933	0.465	0.608
CESM2_1_002	[-]	43.9		3.41	35.4	1.02		0.468	0.506	0.933	0.444	0.571
CESM2_1_003	[-]	42.1		0.916	32.5	1.02		0.491	0.531	0.933	0.469	0.591
CRUJRA	[-]	43.3		2.00	35.5	0.00		0.481	0.502	1.00	0.369	0.571
GSWP3	[-]	42.7		3.75	34.5	0.00		0.465	0.513	1.00	0.389	0.576
LENS1	[-]	50.7		9.59	37.1	0.00		0.414	0.501	1.00	0.402	0.564
LENS10	[-]	50.7		9.31	37.8	0.00		0.417	0.494	1.00	0.402	0.562
LENS5	[-]	49.4		7.70	33.8	0.00		0.430	0.521	1.00	0.424	0.579
PRINCETON	[-]	37.3		-2.76	32.8	0.00		0.947	0.527	1.00	0.427	0.686

	Download Data	Period Mean (original grids) [Watt/m2]		Bias [Watt/m2]	RMSE [Watt/m2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Interannual Variability Score [1]	Overall Score [1]
Benchmark	[-]	119.
CESM2_1_001	[-]	118.		-1.21	19.5	0.508		0.870	0.593	0.966	0.934	0.791
CESM2_1_002	[-]	117.		-1.82	21.1	0.508		0.868	0.578	0.966	0.930	0.784
CESM2_1_003	[-]	118.		-1.32	19.9	0.508		0.868	0.583	0.966	0.943	0.789
CRUJRA	[-]	119.		0.159	17.0	0.517		0.914	0.629	0.965	0.918	0.811
GSWP3	[-]	118.		-0.458	15.9	0.00		0.939	0.644	1.00	0.879	0.821
LENS1	[-]	111.		-8.12	25.5	1.02		0.799	0.520	0.932	0.818	0.718
LENS10	[-]	112.		-7.17	23.2	0.517		0.812	0.548	0.965	0.831	0.741
LENS5	[-]	111.		-7.96	24.1	1.02		0.795	0.545	0.933	0.830	0.730
PRINCETON	[-]	111.		-7.55	18.9	0.00		0.780	0.647	1.00	0.845	0.784

	Download Data	Period Mean (original grids) [Watt/m2]		Bias [Watt/m2]	RMSE [Watt/m2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Interannual Variability Score [1]	Overall Score [1]
Benchmark	[-]	67.2
CESM2_1_001	[-]	66.5		-1.35	26.6	0.279		0.785	0.671	0.979	0.852	0.792
CESM2_1_002	[-]	66.6		-1.26	26.2	0.439		0.787	0.671	0.969	0.851	0.790
CESM2_1_003	[-]	66.8		-1.03	26.5	0.239		0.787	0.669	0.982	0.848	0.791
CRUJRA	[-]	68.2		0.586	28.0	0.319		0.762	0.670	0.977	0.812	0.778
GSWP3	[-]	58.6		-9.31	27.4	0.259		0.742	0.689	0.981	0.852	0.790
LENS1	[-]	66.7		-1.20	26.0	0.498		0.786	0.676	0.965	0.848	0.790
LENS10	[-]	66.9		-0.992	25.3	0.578		0.788	0.685	0.959	0.855	0.794
LENS5	[-]	67.1		-0.820	26.6	0.379		0.785	0.670	0.973	0.851	0.790
PRINCETON	[-]	57.2		-10.8	27.3	0.179		0.724	0.719	0.988	0.864	0.803

	Download Data	Period Mean (original grids) [Watt/m2]		Bias [Watt/m2]	RMSE [Watt/m2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Interannual Variability Score [1]	Overall Score [1]
Benchmark	[-]	74.8
CESM2_1_001	[-]	73.0		-2.14	27.1	0.387		0.760	0.659	0.965	0.836	0.776
CESM2_1_002	[-]	73.0		-2.09	27.0	0.528		0.761	0.660	0.954	0.845	0.776
CESM2_1_003	[-]	73.0		-2.13	27.0	0.397		0.761	0.660	0.963	0.844	0.778
CRUJRA	[-]	74.8		-0.0995	28.0	0.417		0.758	0.657	0.969	0.806	0.769
GSWP3	[-]	66.9		-8.26	26.8	0.407		0.742	0.680	0.960	0.848	0.782
LENS1	[-]	74.7		-0.491	26.9	0.580		0.757	0.662	0.952	0.850	0.777
LENS10	[-]	74.9		-0.280	26.3	0.610		0.761	0.669	0.953	0.853	0.781
LENS5	[-]	75.0		-0.268	26.8	0.438		0.759	0.665	0.963	0.851	0.781
PRINCETON	[-]	64.9		-10.2	26.7	0.244		0.734	0.703	0.977	0.854	0.794

	Download Data	Period Mean (original grids) [Watt/m2]		Bias [Watt/m2]	RMSE [Watt/m2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Interannual Variability Score [1]	Overall Score [1]
Benchmark	[-]	117.
CESM2_1_001	[-]	73.0		-44.0	47.2	1.02		0.444	0.643	0.933	0.786	0.690
CESM2_1_002	[-]	73.8		-43.2	48.5	0.00		0.451	0.654	1.00	0.793	0.711
CESM2_1_003	[-]	71.0		-46.0	49.9	0.00		0.428	0.639	1.00	0.774	0.696
CRUJRA	[-]	85.7		-31.3	35.7	0.00		0.561	0.727	1.00	0.890	0.781
GSWP3	[-]	73.3		-43.8	49.8	1.02		0.446	0.618	0.933	0.812	0.686
LENS1	[-]	82.6		-34.4	39.9	0.00		0.530	0.659	1.00	0.737	0.717
LENS10	[-]	82.3		-34.7	40.0	0.00		0.527	0.667	1.00	0.725	0.717
LENS5	[-]	81.9		-35.1	40.3	0.00		0.523	0.648	1.00	0.719	0.708
PRINCETON	[-]	61.7		-55.4	60.3	1.02		0.360	0.632	0.933	0.752	0.662

	Download Data	Period Mean (original grids) [Watt/m2]		Bias [Watt/m2]	RMSE [Watt/m2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Interannual Variability Score [1]	Overall Score [1]
Benchmark	[-]	85.0
CESM2_1_001	[-]	87.1		2.36	28.2	0.611		0.810	0.649	0.933	0.809	0.770
CESM2_1_002	[-]	86.9		2.05	27.9	0.814		0.809	0.654	0.919	0.817	0.771
CESM2_1_003	[-]	86.8		2.07	28.2	0.662		0.810	0.649	0.929	0.815	0.771
CRUJRA	[-]	88.5		3.77	28.3	0.814		0.806	0.656	0.934	0.829	0.776
GSWP3	[-]	81.0		-3.79	26.4	0.814		0.806	0.677	0.928	0.846	0.787
LENS1	[-]	90.6		5.61	29.5	0.865		0.784	0.652	0.916	0.844	0.769
LENS10	[-]	90.8		5.81	28.7	0.814		0.789	0.662	0.928	0.848	0.778
LENS5	[-]	91.2		6.21	27.7	0.509		0.793	0.674	0.939	0.848	0.786
PRINCETON	[-]	80.0		-4.67	25.0	0.407		0.809	0.698	0.946	0.854	0.801

	Download Data	Period Mean (original grids) [Watt/m2]		Bias [Watt/m2]	RMSE [Watt/m2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Interannual Variability Score [1]	Overall Score [1]
Benchmark	[-]	68.6
CESM2_1_001	[-]	62.1		-6.51	23.3	0.218		0.831	0.702	0.986	0.925	0.829
CESM2_1_002	[-]	62.6		-6.01	22.8	0.290		0.833	0.711	0.981	0.922	0.832
CESM2_1_003	[-]	62.1		-6.56	22.3	0.290		0.831	0.718	0.981	0.928	0.835
CRUJRA	[-]	68.7		0.0841	25.2	0.363		0.851	0.675	0.976	0.813	0.798
GSWP3	[-]	62.2		-6.41	19.7	0.145		0.851	0.742	0.990	0.925	0.850
LENS1	[-]	68.8		0.178	22.1	0.290		0.860	0.715	0.981	0.908	0.836
LENS10	[-]	69.4		0.773	22.2	0.436		0.872	0.705	0.971	0.906	0.832
LENS5	[-]	68.6		-0.0688	21.3	0.436		0.861	0.724	0.971	0.908	0.837
PRINCETON	[-]	58.0		-10.6	21.2	0.218		0.803	0.752	0.986	0.918	0.842

	Download Data	Period Mean (original grids) [Watt/m2]		Bias [Watt/m2]	RMSE [Watt/m2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Interannual Variability Score [1]	Overall Score [1]
Benchmark	[-]	82.6
CESM2_1_001	[-]	81.2		-1.47	32.0	0.850		0.654	0.687	0.893	0.856	0.755
CESM2_1_002	[-]	81.1		-1.52	32.0	0.850		0.654	0.686	0.893	0.853	0.754
CESM2_1_003	[-]	80.2		-2.42	30.7	0.850		0.661	0.695	0.893	0.851	0.759
CRUJRA	[-]	78.4		-4.24	29.6	0.339		0.672	0.699	0.978	0.853	0.780
GSWP3	[-]	73.3		-9.29	32.3	0.681		0.650	0.705	0.904	0.853	0.764
LENS1	[-]	88.4		5.75	28.6	0.850		0.689	0.707	0.893	0.887	0.776
LENS10	[-]	88.5		5.83	28.6	0.681		0.688	0.712	0.935	0.883	0.786
LENS5	[-]	88.0		5.36	28.9	0.511		0.691	0.697	0.946	0.879	0.782
PRINCETON	[-]	73.9		-8.69	30.1	0.511		0.675	0.720	0.946	0.874	0.787

	Download Data	Period Mean (original grids) [Watt/m2]		Bias [Watt/m2]	RMSE [Watt/m2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Interannual Variability Score [1]	Overall Score [1]
Benchmark	[-]	117.
CESM2_1_001	[-]	152.		35.8	50.1	0.00		0.348	0.387	1.00	0.667	0.558
CESM2_1_002	[-]	153.		36.4	51.0	0.00		0.341	0.378	1.00	0.652	0.550
CESM2_1_003	[-]	152.		35.4	49.7	0.00		0.352	0.395	1.00	0.663	0.561
CRUJRA	[-]	132.		15.2	35.0	0.00		0.639	0.393	1.00	0.479	0.581
GSWP3	[-]	131.		14.8	36.8	0.00		0.646	0.390	1.00	0.622	0.609
LENS1	[-]	135.		18.1	38.9	1.02		0.586	0.379	0.933	0.895	0.634
LENS10	[-]	133.		16.8	35.3	1.02		0.610	0.408	0.933	0.919	0.655
LENS5	[-]	135.		18.3	39.4	1.02		0.583	0.378	0.933	0.928	0.640
PRINCETON	[-]	121.		4.04	31.6	0.00		0.888	0.396	1.00	0.571	0.650

Africa - Central Africa - Sahel Africa - South Asia - East Siberia Asia - Indonesia Asia - North Central Asia - South Central Asia and China Asia - Southeast Asia and India Asia - West Siberia Australia Europe Globe Middle East and Sahara North America - Alaska and Northern Canada North America - Central America North America - Eastern United States North America - Southern Canada North America - Western United States South America - Amazon South America - Southeast South America - Southwest Temporally integrated period mean Temporally integrated period mean bias Temporally integrated period mean bias score Temporally integrated period mean max month Temporally integrated mean phase shift Temporally integrated mean phase shift score Temporally integrated period mean rmse Temporally integrated period mean rmse score Interannual variability Interannual variability score Spatially integrated regional mean cycle Spatially integrated regional mean detrended cycle Spatially integrated regional mean

  Title:

derived FluxNet

  Source_file:

This product is generated from monthly FluxNet observations

  Conventions:

Please contact Prof. James Randerson (Email: jranders@uci.edu) or Dr. Mingquan Mu (mmu@uci.edu) for any question

  Altitude:

EBF,SAV,WSA,WSA,EBF,EBF,ENF,ENF,ENF,ENF,GRA,GRA,DBF,CRO,GRA,WSA,EBF,EBF,ENF,DBF,ENF,SAV,CRO,CRO,CRO,CRO,EBF,DBF,GRA,GRA,DBF,DBF,DBF,OSH,ENF,EBF,DBF,ENF,DBF,ENF,DBF,ENF,ENF,WET,DBF,GRA,GRA,GRA,DBF,MF,ENF,GRA,CSH,GRA,MF,ENF,GRA,ENF,GRA,GRA,GRA,DBF,ENF,ENF,ENF,ENF,MF,ENF,ENF,DBF,CRO,DBF,GRA,MF,GRA,GRA,ENF,CRO,ENF,ENF,ENF,GRA,DBF,CRO,ENF,ENF,ENF,ENF,CRO,ENF,ENF,OSH,ENF,OSH,EBF,ENF,ENF,ENF,DBF,ENF,WET,ENF,WET,OSH

  Site_name:

AU-Tum,ZA-Kru,BW-Ma1,AU-How,BR-Sa3,ID-Pag,US-SP1,US-SP3,US-SP2,IL-Yat,US-Aud,US-Goo,US-WBW,US-ARM,US-Var,US-Ton,PT-Mi1,PT-Esp,US-Blo,US-MMS,ES-ES1,ES-LMa,US-Bo1,US-Ne2,US-Ne1,US-Ne3,IT-Cpz,IT-Col,IT-Amp,ES-VDA,IT-Ro2,IT-Ro1,US-Ha1,IT-Pia,IT-SRo,FR-Pue,US-Bar,US-Me4,IT-Non,FR-LBr,IT-PT1,US-Ho1,US-Ho2,CA-Mer,US-UMB,IT-LMa,FR-Lq2,FR-Lq1,US-WCr,US-PFa,IT-Lav,IT-MBo,US-Los,IT-Mal,US-Syv,IT-Ren,HU-Bug,US-Wi4,CH-Oe1,HU-Mat,US-FPe,FR-Hes,CA-Qcu,CZ-BK1,CA-Qfo,DE-Bay,BE-Vie,DE-Wet,DE-Tha,DE-Hai,DE-Geb,UK-Ham,DE-Meh,BE-Bra,NL-Ca1,IE-Dri,NL-Loo,IE-Ca1,CA-SF3,CA-SF2,CA-SF1,RU-Ha1,DK-Sor,DK-Ris,CA-NS5,CA-NS1,CA-Man,CA-NS2,UK-ESa,CA-NS4,CA-NS3,CA-NS6,UK-Gri,CA-NS7,SE-Nor,SE-Sk2,RU-Zot,FI-Hyy,IS-Gun,SE-Fla,SE-Deg,FI-Sod,FI-Kaa,RU-Cok

  Creation_date:

Wed Jul 29 11:35:13 PDT 2015

  Approach:

I read this variable from individual site data files, then organized those sites with valid data, and save the data in NetCDF format by each month and each year.

  Temporal resolution:

monthly

  General information:

This product was derived from site level estimates of GPP and TER from FLUXNET eddy covariance stations.

  Spatial resolution:

site observation

  Derived data code:

http://redwood.ess.uci.edu/mingquan/www/ILAMB/Download/CODES/CODES/subroutines/convert/convert-FluxNet.ncl