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	[-]	225.
CESM2_1_001	[-]	218.		-6.92	27.1	0.508		0.827	0.517	0.966	0.956	0.757
CESM2_1_002	[-]	213.		-12.0	32.3	1.00		0.746	0.451	0.935	0.939	0.704
CESM2_1_003	[-]	214.		-11.4	30.7	0.508		0.765	0.466	0.966	0.964	0.726
CRUJRA	[-]	233.		7.95	26.6	1.02		0.635	0.639	0.873	0.901	0.737
GSWP3	[-]	229.		3.62	18.8	0.508		0.908	0.621	0.966	0.792	0.782
LENS1	[-]	205.		-19.9	43.2	0.508		0.605	0.400	0.966	0.874	0.649
LENS10	[-]	201.		-24.3	42.5	1.00		0.538	0.409	0.935	0.883	0.634
LENS5	[-]	202.		-22.8	41.6	0.508		0.550	0.389	0.966	0.906	0.640
PRINCETON	[-]	223.		-2.07	14.2	0.508		0.927	0.696	0.966	0.830	0.823

	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	[-]	150.
CESM2_1_001	[-]	86.0		-64.0	64.4	0.00		0.364	0.422	1.00	0.735	0.588
CESM2_1_002	[-]	83.4		-66.5	68.8	1.02		0.350	0.402	0.933	0.769	0.571
CESM2_1_003	[-]	86.9		-63.1	63.4	0.00		0.369	0.422	1.00	0.731	0.589
CRUJRA	[-]	103.		-47.4	60.2	1.02		0.473	0.348	0.933	0.626	0.546
GSWP3	[-]	97.2		-52.7	59.6	1.02		0.435	0.384	0.933	0.654	0.558
LENS1	[-]	118.		-32.0	69.5	1.02		0.604	0.293	0.933	0.473	0.519
LENS10	[-]	118.		-31.8	68.8	1.02		0.605	0.296	0.933	0.473	0.521
LENS5	[-]	116.		-34.2	64.2	0.00		0.582	0.324	1.00	0.503	0.546
PRINCETON	[-]	89.9		-60.1	60.9	1.02		0.387	0.408	0.933	0.712	0.569

	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	[-]	197.
CESM2_1_001	[-]	182.		-14.4	26.0	5.05		0.499	0.316	0.0695	0.968	0.434
CESM2_1_002	[-]	184.		-13.0	32.6	5.05		0.535	0.216	0.0695	0.941	0.396
CESM2_1_003	[-]	182.		-14.9	30.7	5.05		0.487	0.257	0.0695	0.890	0.392
CRUJRA	[-]	216.		18.8	29.9	4.07		0.404	0.354	0.248	0.651	0.402
GSWP3	[-]	202.		5.27	24.8	1.03		0.775	0.316	0.930	0.785	0.625
LENS1	[-]	163.		-34.1	46.5	4.07		0.194	0.159	0.248	0.755	0.303
LENS10	[-]	156.		-40.6	46.4	5.05		0.141	0.310	0.0695	0.982	0.363
LENS5	[-]	157.		-40.0	49.3	5.05		0.146	0.238	0.0695	0.920	0.322
PRINCETON	[-]	192.		-4.73	18.9	4.07		0.796	0.405	0.248	0.700	0.511

	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	[-]	123.
CESM2_1_001	[-]	118.		-5.22	35.6	0.508		0.862	0.646	0.966	0.890	0.802
CESM2_1_002	[-]	121.		-1.57	29.2	0.508		0.856	0.703	0.966	0.886	0.823
CESM2_1_003	[-]	117.		-6.05	34.0	1.02		0.865	0.681	0.933	0.886	0.809
CRUJRA	[-]	129.		6.60	28.0	0.00		0.917	0.728	1.00	0.922	0.859
GSWP3	[-]	121.		-1.45	21.0	0.00		0.983	0.761	1.00	0.964	0.894
LENS1	[-]	130.		6.88	28.6	0.508		0.914	0.709	0.966	0.926	0.845
LENS10	[-]	131.		8.26	29.5	0.508		0.898	0.713	0.966	0.908	0.840
LENS5	[-]	128.		4.71	30.4	0.00		0.939	0.691	1.00	0.936	0.851
PRINCETON	[-]	118.		-5.14	20.5	0.00		0.940	0.770	1.00	0.942	0.884

	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	[-]	214.
CESM2_1_001	[-]	213.		-1.58	35.3	0.517		0.739	0.445	0.965	0.734	0.666
CESM2_1_002	[-]	208.		-6.25	40.0	0.508		0.743	0.415	0.966	0.722	0.652
CESM2_1_003	[-]	209.		-5.12	36.1	0.517		0.717	0.442	0.965	0.723	0.658
CRUJRA	[-]	224.		10.2	24.6	0.517		0.827	0.600	0.965	0.958	0.790
GSWP3	[-]	221.		6.63	20.2	1.02		0.802	0.620	0.932	0.937	0.782
LENS1	[-]	195.		-19.4	49.1	0.508		0.664	0.375	0.966	0.630	0.602
LENS10	[-]	199.		-15.5	44.2	1.02		0.732	0.389	0.932	0.630	0.614
LENS5	[-]	193.		-20.6	44.7	1.02		0.641	0.415	0.933	0.671	0.615
PRINCETON	[-]	213.		-0.744	16.6	0.508		0.843	0.658	0.966	0.960	0.817

	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	[-]	138.
CESM2_1_001	[-]	150.		11.8	34.6	0.470		0.819	0.684	0.962	0.892	0.808
CESM2_1_002	[-]	150.		11.8	35.3	0.665		0.819	0.671	0.950	0.892	0.801
CESM2_1_003	[-]	150.		11.7	35.0	0.371		0.820	0.678	0.973	0.887	0.807
CRUJRA	[-]	157.		18.6	32.6	0.332		0.765	0.754	0.976	0.896	0.829
GSWP3	[-]	140.		1.25	21.8	0.313		0.900	0.778	0.977	0.928	0.872
LENS1	[-]	142.		3.96	31.9	0.489		0.871	0.684	0.962	0.898	0.820
LENS10	[-]	142.		4.18	31.6	0.587		0.870	0.688	0.954	0.903	0.821
LENS5	[-]	142.		3.80	33.2	0.469		0.871	0.672	0.967	0.898	0.816
PRINCETON	[-]	139.		1.07	19.4	0.371		0.909	0.798	0.973	0.930	0.882

	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	[-]	150.
CESM2_1_001	[-]	160.		10.3	34.7	0.577		0.797	0.662	0.946	0.898	0.793
CESM2_1_002	[-]	160.		10.4	35.1	0.645		0.795	0.655	0.945	0.897	0.790
CESM2_1_003	[-]	160.		10.1	34.9	0.528		0.795	0.659	0.953	0.895	0.792
CRUJRA	[-]	165.		15.8	31.7	0.499		0.767	0.727	0.958	0.897	0.815
GSWP3	[-]	152.		2.16	22.8	0.401		0.883	0.751	0.968	0.927	0.856
LENS1	[-]	154.		4.51	33.6	0.616		0.831	0.656	0.949	0.888	0.796
LENS10	[-]	154.		4.92	33.3	0.694		0.833	0.659	0.943	0.894	0.798
LENS5	[-]	154.		4.71	34.0	0.547		0.833	0.653	0.954	0.891	0.797
PRINCETON	[-]	151.		1.11	20.6	0.479		0.889	0.774	0.957	0.927	0.864

	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	[-]	251.
CESM2_1_001	[-]	243.		-7.65	30.5	1.02		0.913	0.702	0.933	0.973	0.844
CESM2_1_002	[-]	244.		-6.55	25.6	0.00		0.925	0.739	1.00	0.946	0.870
CESM2_1_003	[-]	245.		-6.13	26.8	1.02		0.930	0.729	0.933	0.944	0.853
CRUJRA	[-]	237.		-14.1	27.3	0.00		0.846	0.744	1.00	0.869	0.840
GSWP3	[-]	226.		-25.3	31.8	0.00		0.741	0.757	1.00	0.916	0.834
LENS1	[-]	234.		-16.5	29.5	0.00		0.823	0.727	1.00	0.922	0.840
LENS10	[-]	236.		-15.2	26.4	0.00		0.835	0.752	1.00	0.949	0.858
LENS5	[-]	236.		-15.3	28.4	0.00		0.835	0.729	1.00	0.920	0.842
PRINCETON	[-]	215.		-35.5	39.5	0.00		0.657	0.790	1.00	0.876	0.823

	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	[-]	160.
CESM2_1_001	[-]	182.		22.1	36.6	0.582		0.712	0.660	0.945	0.880	0.772
CESM2_1_002	[-]	182.		21.9	36.4	0.679		0.715	0.660	0.938	0.891	0.773
CESM2_1_003	[-]	183.		22.3	36.4	0.533		0.712	0.658	0.953	0.892	0.774
CRUJRA	[-]	179.		19.0	30.4	0.775		0.748	0.724	0.937	0.927	0.812
GSWP3	[-]	167.		6.43	23.9	0.340		0.854	0.737	0.972	0.940	0.848
LENS1	[-]	169.		8.84	36.6	0.921		0.791	0.628	0.928	0.881	0.771
LENS10	[-]	170.		10.1	35.2	0.775		0.805	0.640	0.937	0.886	0.782
LENS5	[-]	171.		10.8	34.1	0.485		0.809	0.653	0.957	0.876	0.789
PRINCETON	[-]	166.		5.85	20.4	0.485		0.863	0.777	0.957	0.943	0.863

	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	[-]	130.
CESM2_1_001	[-]	129.		-0.613	31.0	0.799		0.900	0.681	0.922	0.940	0.825
CESM2_1_002	[-]	130.		0.495	29.0	0.436		0.897	0.697	0.971	0.935	0.839
CESM2_1_003	[-]	129.		-0.927	30.6	0.871		0.898	0.682	0.917	0.936	0.823
CRUJRA	[-]	147.		16.8	31.8	0.581		0.803	0.728	0.962	0.899	0.824
GSWP3	[-]	133.		3.23	21.1	0.799		0.916	0.774	0.922	0.955	0.868
LENS1	[-]	144.		13.8	29.1	0.581		0.834	0.729	0.962	0.935	0.838
LENS10	[-]	144.		14.3	31.6	0.799		0.830	0.700	0.947	0.930	0.821
LENS5	[-]	144.		13.9	30.4	0.726		0.834	0.715	0.944	0.932	0.828
PRINCETON	[-]	131.		1.24	19.6	0.871		0.929	0.786	0.917	0.955	0.875

	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	[-]	196.
CESM2_1_001	[-]	211.		14.8	33.6	0.508		0.839	0.708	0.966	0.919	0.828
CESM2_1_002	[-]	211.		15.6	35.9	0.339		0.830	0.691	0.978	0.912	0.820
CESM2_1_003	[-]	211.		15.1	31.8	0.339		0.833	0.731	0.978	0.922	0.839
CRUJRA	[-]	196.		0.350	26.3	0.339		0.869	0.764	0.978	0.921	0.859
GSWP3	[-]	199.		3.29	22.8	0.339		0.896	0.790	0.978	0.940	0.879
LENS1	[-]	203.		7.10	32.3	0.339		0.895	0.697	0.978	0.929	0.839
LENS10	[-]	204.		7.84	32.4	0.339		0.899	0.696	0.978	0.941	0.842
LENS5	[-]	204.		8.14	34.7	0.339		0.900	0.679	0.978	0.932	0.833
PRINCETON	[-]	199.		3.51	23.5	0.169		0.880	0.802	0.989	0.918	0.878

	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	[-]	185.
CESM2_1_001	[-]	229.		43.7	56.1	0.00		0.302	0.432	1.00	0.952	0.624
CESM2_1_002	[-]	230.		44.4	58.6	0.00		0.297	0.399	1.00	0.986	0.616
CESM2_1_003	[-]	229.		44.1	60.3	0.00		0.300	0.381	1.00	0.927	0.598
CRUJRA	[-]	206.		20.9	35.8	0.00		0.565	0.457	1.00	0.564	0.609
GSWP3	[-]	205.		20.2	35.7	0.00		0.576	0.479	1.00	0.731	0.653
LENS1	[-]	195.		10.2	44.8	1.02		0.757	0.310	0.933	0.676	0.597
LENS10	[-]	193.		7.51	42.0	1.02		0.814	0.324	0.933	0.672	0.614
LENS5	[-]	196.		10.3	45.8	1.02		0.754	0.305	0.933	0.653	0.590
PRINCETON	[-]	203.		17.7	31.5	0.00		0.616	0.492	1.00	0.720	0.664

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 11:38:05 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