Global - Land 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	[-]	150.
bcc-csm1-1	[-]	143.		-6.66	37.2	0.840		0.821	0.621	0.920	0.864	0.769
bcc-csm1-1-m	[-]	154.		4.14	39.4	0.831		0.845	0.598	0.924	0.820	0.757
BNU-ESM	[-]	151.		1.27	36.1	0.587		0.826	0.632	0.951	0.863	0.781
CanESM2	[-]	166.		16.5	41.3	0.411		0.741	0.625	0.964	0.827	0.756
CESM1-BGC	[-]	167.		17.0	38.3	0.479		0.761	0.648	0.960	0.840	0.771
GFDL-ESM2G	[-]	152.		2.42	32.9	0.596		0.852	0.650	0.945	0.876	0.795
GFDL-ESM2M	[-]	153.		3.00	34.3	0.645		0.847	0.639	0.943	0.852	0.784
HadGEM2-CC	[-]	167.		16.4	37.9	0.587		0.766	0.642	0.954	0.841	0.769
HadGEM2-ES	[-]	169.		17.9	39.2	0.557		0.749	0.638	0.958	0.824	0.761
inmcm4	[-]	166.		16.5	36.8	0.704		0.775	0.652	0.940	0.842	0.772
IPSL-CM5A-LR	[-]	168.		18.4	47.9	0.812		0.735	0.566	0.933	0.733	0.707
IPSL-CM5A-MR	[-]	170.		20.7	46.2	0.694		0.722	0.589	0.935	0.744	0.716
MeanCMIP5	[-]	161.		11.0	31.4	0.528		0.813	0.689	0.956	0.863	0.802
MIROC-ESM	[-]	164.		14.2	40.8	0.509		0.763	0.618	0.955	0.809	0.753
MIROC-ESM-CHEM	[-]	164.		14.2	40.0	0.528		0.758	0.629	0.958	0.821	0.759
MPI-ESM-LR	[-]	149.		-0.312	34.8	0.401		0.839	0.642	0.967	0.901	0.798
MRI-ESM1	[-]	166.		16.9	39.1	0.704		0.764	0.633	0.935	0.809	0.755
NorESM1-M	[-]	157.		7.26	34.6	0.685		0.820	0.651	0.939	0.874	0.787
NorESM1-ME	[-]	156.		6.25	33.9	0.548		0.823	0.657	0.951	0.878	0.793

	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.
bcc-csm1-1	[-]	230.		44.3	57.5	0.00		0.298	0.377	1.00	0.709	0.552
bcc-csm1-1-m	[-]	267.		81.8	93.4	6.05		0.107	0.290	7.41e-05	0.772	0.292
BNU-ESM	[-]	203.		18.0	37.9	0.00		0.612	0.408	1.00	0.908	0.667
CanESM2	[-]	276.		90.7	102.	1.02		0.0837	0.336	0.933	0.771	0.492
CESM1-BGC	[-]	204.		18.4	42.8	0.00		0.605	0.356	1.00	0.837	0.631
GFDL-ESM2G	[-]	246.		60.3	73.8	1.02		0.192	0.324	0.933	0.718	0.498
GFDL-ESM2M	[-]	248.		62.4	74.7	1.02		0.181	0.360	0.933	0.740	0.515
HadGEM2-CC	[-]	234.		48.9	64.9	1.02		0.262	0.346	0.933	0.712	0.520
HadGEM2-ES	[-]	233.		47.4	58.9	0.00		0.274	0.353	1.00	0.716	0.539
inmcm4	[-]	214.		29.1	47.0	0.00		0.451	0.366	1.00	0.951	0.627
IPSL-CM5A-LR	[-]	287.		101.	108.	1.02		0.0624	0.390	0.933	0.721	0.499
IPSL-CM5A-MR	[-]	290.		105.	111.	1.02		0.0573	0.363	0.933	0.745	0.492
MeanCMIP5	[-]	232.		46.8	55.8	0.00		0.278	0.459	1.00	0.761	0.592
MIROC-ESM	[-]	221.		35.7	49.3	1.02		0.377	0.392	0.933	0.870	0.592
MIROC-ESM-CHEM	[-]	219.		34.2	54.9	1.02		0.393	0.297	0.933	0.927	0.569
MPI-ESM-LR	[-]	232.		46.7	58.5	0.00		0.279	0.395	1.00	0.983	0.610
MRI-ESM1	[-]	186.		0.573	44.5	5.07		0.984	0.296	0.0673	0.824	0.493
NorESM1-M	[-]	184.		-1.44	35.3	0.00		0.961	0.380	1.00	0.962	0.737
NorESM1-ME	[-]	188.		2.96	35.5	1.02		0.922	0.386	0.933	0.948	0.715

Global - Land South America - Amazon 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