	Download Data	Period Mean (original grids) [W m-2]	Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	92.3
BCC-CSM2-MR	[-]	132.	39.9	44.8	1.00	0.264	0.450	0.935	0.525
BGCv2LND.GSW	[-]	121.	29.2	35.8	0.508	0.416	0.491	0.966	0.591
BGCv2LNDATM	[-]	125.	33.1	37.9	0.508	0.259	0.508	0.966	0.561
CanESM5	[-]	156.	63.8	66.9	3.01	0.0782	0.384	0.504	0.338
GFDL-ESM4	[-]	123.	31.0	42.5	2.52	0.367	0.344	0.536	0.398
MeanCMIP6	[-]	139.	46.5	50.6	0.00	0.199	0.451	1.00	0.525
MIROC-ES2L	[-]	157.	65.2	68.3	2.52	0.0819	0.380	0.536	0.344
UKESM1-0-LL	[-]	129.	37.1	47.0	0.508	0.270	0.346	0.966	0.482

Download Data

Period Mean (original grids) [W m-2]

Bias [W m-2]

RMSE [W m-2]

Phase Shift [months]

Bias Score [1]

RMSE Score [1]

Seasonal Cycle Score [1]

Overall Score [1]

Benchmark

[-]

92.3

BCC-CSM2-MR

[-]

132.

39.9

44.8

1.00

0.264

0.450

0.935

0.525

BGCv2LND.GSW

[-]

121.

29.2

35.8

0.508

0.416

0.491

0.966

0.591

BGCv2LNDATM

[-]

125.

33.1

37.9

0.508

0.259

0.508

0.966

0.561

CanESM5

[-]

156.

63.8

66.9

3.01

0.0782

0.384

0.504

0.338

GFDL-ESM4

[-]

123.

31.0

42.5

2.52

0.367

0.344

0.536

0.398

MeanCMIP6

[-]

139.

46.5

50.6

0.00

0.199

0.451

1.00

0.525

MIROC-ES2L

[-]

157.

65.2

68.3

2.52

0.0819

0.380

0.536

0.344

UKESM1-0-LL

[-]

129.

37.1

47.0

0.508

0.270

0.346

0.966

0.482

	Download Data	Period Mean (original grids) [W m-2]	Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	144.
BCC-CSM2-MR	[-]	146.	2.23	16.0	0.00	0.850	0.311	1.00	0.618
BGCv2LND.GSW	[-]	130.	-13.9	18.0	0.00	0.363	0.445	1.00	0.563
BGCv2LNDATM	[-]	143.	-1.63	21.7	1.02	0.888	0.203	0.933	0.557
CanESM5	[-]	134.	-9.84	19.5	1.02	0.488	0.284	0.933	0.497
GFDL-ESM4	[-]	127.	-16.7	28.9	1.02	0.295	0.200	0.933	0.407
MeanCMIP6	[-]	136.	-8.12	16.7	1.02	0.553	0.355	0.933	0.549
MIROC-ES2L	[-]	147.	3.27	19.9	1.02	0.788	0.236	0.933	0.548
UKESM1-0-LL	[-]	127.	-16.9	22.6	1.02	0.293	0.349	0.933	0.481

Download Data

Period Mean (original grids) [W m-2]

Bias [W m-2]

RMSE [W m-2]

Phase Shift [months]

Bias Score [1]

RMSE Score [1]

Seasonal Cycle Score [1]

Overall Score [1]

Benchmark

[-]

144.

BCC-CSM2-MR

[-]

146.

2.23

16.0

0.00

0.850

0.311

1.00

0.618

BGCv2LND.GSW

[-]

130.

-13.9

18.0

0.00

0.363

0.445

1.00

0.563

BGCv2LNDATM

[-]

143.

-1.63

21.7

1.02

0.888

0.203

0.933

0.557

CanESM5

[-]

134.

-9.84

19.5

1.02

0.488

0.284

0.933

0.497

GFDL-ESM4

[-]

127.

-16.7

28.9

1.02

0.295

0.200

0.933

0.407

MeanCMIP6

[-]

136.

-8.12

16.7

1.02

0.553

0.355

0.933

0.549

MIROC-ES2L

[-]

147.

3.27

19.9

1.02

0.788

0.236

0.933

0.548

UKESM1-0-LL

[-]

127.

-16.9

22.6

1.02

0.293

0.349

0.933

0.481

	Download Data	Period Mean (original grids) [W m-2]	Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	87.4
BCC-CSM2-MR	[-]	78.6	-8.78	25.0	0.722	0.743	0.653	0.932	0.745
BGCv2LND.GSW	[-]	75.7	-12.1	23.3	0.537	0.736	0.700	0.950	0.772
BGCv2LNDATM	[-]	81.4	-6.39	22.2	0.584	0.786	0.674	0.951	0.771
CanESM5	[-]	79.8	-7.55	24.4	0.624	0.767	0.662	0.934	0.756
GFDL-ESM4	[-]	75.1	-12.3	23.8	0.603	0.736	0.681	0.944	0.761
MeanCMIP6	[-]	79.6	-7.75	21.0	0.552	0.774	0.698	0.950	0.780
MIROC-ES2L	[-]	86.1	-1.31	24.9	0.743	0.778	0.643	0.922	0.747
UKESM1-0-LL	[-]	77.1	-10.3	23.6	0.599	0.744	0.678	0.942	0.760

Download Data

Period Mean (original grids) [W m-2]

Bias [W m-2]

RMSE [W m-2]

Phase Shift [months]

Bias Score [1]

RMSE Score [1]

Seasonal Cycle Score [1]

Overall Score [1]

Benchmark

[-]

87.4

BCC-CSM2-MR

[-]

78.6

-8.78

25.0

0.722

0.743

0.653

0.932

0.745

BGCv2LND.GSW

[-]

75.7

-12.1

23.3

0.537

0.736

0.700

0.950

0.772

BGCv2LNDATM

[-]

81.4

-6.39

22.2

0.584

0.786

0.674

0.951

0.771

CanESM5

[-]

79.8

-7.55

24.4

0.624

0.767

0.662

0.934

0.756

GFDL-ESM4

[-]

75.1

-12.3

23.8

0.603

0.736

0.681

0.944

0.761

MeanCMIP6

[-]

79.6

-7.75

21.0

0.552

0.774

0.698

0.950

0.780

MIROC-ES2L

[-]

86.1

-1.31

24.9

0.743

0.778

0.643

0.922

0.747

UKESM1-0-LL

[-]

77.1

-10.3

23.6

0.599

0.744

0.678

0.942

0.760

	Download Data	Period Mean (original grids) [W m-2]	Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	54.7
BCC-CSM2-MR	[-]	42.0	-12.7	25.0	0.671	0.780	0.669	0.947	0.766
BGCv2LND.GSW	[-]	47.0	-7.90	20.0	0.255	0.803	0.725	0.981	0.808
BGCv2LNDATM	[-]	50.0	-4.94	19.1	0.403	0.844	0.706	0.968	0.806
CanESM5	[-]	48.6	-6.06	21.9	0.285	0.820	0.683	0.979	0.791
GFDL-ESM4	[-]	47.1	-7.56	21.1	0.346	0.828	0.695	0.971	0.797
MeanCMIP6	[-]	48.0	-6.68	19.1	0.265	0.829	0.716	0.980	0.810
MIROC-ES2L	[-]	52.2	-2.44	23.7	0.488	0.829	0.658	0.965	0.778
UKESM1-0-LL	[-]	49.1	-5.56	19.6	0.326	0.832	0.709	0.976	0.807

Download Data

Period Mean (original grids) [W m-2]

Bias [W m-2]

RMSE [W m-2]

Phase Shift [months]

Bias Score [1]

RMSE Score [1]

Seasonal Cycle Score [1]

Overall Score [1]

Benchmark

[-]

54.7

BCC-CSM2-MR

[-]

42.0

-12.7

25.0

0.671

0.780

0.669

0.947

0.766

BGCv2LND.GSW

[-]

47.0

-7.90

20.0

0.255

0.803

0.725

0.981

0.808

BGCv2LNDATM

[-]

50.0

-4.94

19.1

0.403

0.844

0.706

0.968

0.806

CanESM5

[-]

48.6

-6.06

21.9

0.285

0.820

0.683

0.979

0.791

GFDL-ESM4

[-]

47.1

-7.56

21.1

0.346

0.828

0.695

0.971

0.797

MeanCMIP6

[-]

48.0

-6.68

19.1

0.265

0.829

0.716

0.980

0.810

MIROC-ES2L

[-]

52.2

-2.44

23.7

0.488

0.829

0.658

0.965

0.778

UKESM1-0-LL

[-]

49.1

-5.56

19.6

0.326

0.832

0.709

0.976

0.807

	Download Data	Period Mean (original grids) [W m-2]	Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	133.
BCC-CSM2-MR	[-]	168.	34.8	40.1	1.02	0.221	0.375	0.894	0.466
BGCv2LND.GSW	[-]	143.	9.38	16.5	0.339	0.629	0.490	0.978	0.646
BGCv2LNDATM	[-]	141.	7.28	20.4	0.339	0.698	0.423	0.978	0.630
CanESM5	[-]	139.	6.18	25.8	3.06	0.757	0.312	0.436	0.454
GFDL-ESM4	[-]	145.	12.0	22.9	0.00	0.570	0.396	1.00	0.590
MeanCMIP6	[-]	153.	19.7	25.8	0.339	0.382	0.459	0.978	0.569
MIROC-ES2L	[-]	151.	17.2	26.8	3.72	0.445	0.408	0.356	0.404
UKESM1-0-LL	[-]	150.	16.4	27.6	3.72	0.449	0.348	0.354	0.375

Download Data

Period Mean (original grids) [W m-2]

Bias [W m-2]

RMSE [W m-2]

Phase Shift [months]

Bias Score [1]

RMSE Score [1]

Seasonal Cycle Score [1]

Overall Score [1]

Benchmark

[-]

133.

BCC-CSM2-MR

[-]

168.

34.8

40.1

1.02

0.221

0.375

0.894

0.466

BGCv2LND.GSW

[-]

143.

9.38

16.5

0.339

0.629

0.490

0.978

0.646

BGCv2LNDATM

[-]

141.

7.28

20.4

0.339

0.698

0.423

0.978

0.630

CanESM5

[-]

139.

6.18

25.8

3.06

0.757

0.312

0.436

0.454

GFDL-ESM4

[-]

145.

12.0

22.9

0.00

0.570

0.396

1.00

0.590

MeanCMIP6

[-]

153.

19.7

25.8

0.339

0.382

0.459

0.978

0.569

MIROC-ES2L

[-]

151.

17.2

26.8

3.72

0.445

0.408

0.356

0.404

UKESM1-0-LL

[-]

150.

16.4

27.6

3.72

0.449

0.348

0.354

0.375

	Download Data	Period Mean (original grids) [W m-2]	Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]	Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	81.8
BCC-CSM2-MR	[-]	69.2	-12.6	24.1	0.574	0.776	0.690	0.958	0.779
BGCv2LND.GSW	[-]	68.7	-13.6	22.8	0.450	0.765	0.736	0.966	0.801
BGCv2LNDATM	[-]	73.0	-9.27	21.7	0.486	0.806	0.708	0.964	0.796
CanESM5	[-]	72.0	-9.81	23.5	0.371	0.792	0.701	0.973	0.792
GFDL-ESM4	[-]	67.2	-14.7	22.7	0.487	0.765	0.721	0.965	0.793
MeanCMIP6	[-]	72.3	-9.57	20.3	0.465	0.802	0.732	0.966	0.808
MIROC-ES2L	[-]	78.4	-3.39	23.5	0.545	0.821	0.684	0.960	0.787
UKESM1-0-LL	[-]	69.4	-12.4	22.9	0.443	0.778	0.713	0.968	0.793

Download Data

Period Mean (original grids) [W m-2]

Bias [W m-2]

RMSE [W m-2]

Phase Shift [months]

Bias Score [1]

RMSE Score [1]

Seasonal Cycle Score [1]

Overall Score [1]

Benchmark

[-]

81.8

BCC-CSM2-MR

[-]

69.2

-12.6

24.1

0.574

0.776

0.690

0.958

0.779

BGCv2LND.GSW

[-]

68.7

-13.6

22.8

0.450

0.765

0.736

0.966

0.801

BGCv2LNDATM

[-]

73.0

-9.27

21.7

0.486

0.806

0.708

0.964

0.796

CanESM5

[-]

72.0

-9.81

23.5

0.371

0.792

0.701

0.973

0.792

GFDL-ESM4

[-]

67.2

-14.7

22.7

0.487

0.765

0.721

0.965

0.793

MeanCMIP6

[-]

72.3

-9.57

20.3

0.465

0.802

0.732

0.966

0.808

MIROC-ES2L

[-]

78.4

-3.39

23.5

0.545

0.821

0.684

0.960

0.787

UKESM1-0-LL

[-]

69.4

-12.4

22.9

0.443

0.778

0.713

0.968

0.793

Temporally integrated period mean click to collapse contents

BENCHMARK MEAN Data not available

MODEL MEAN Data not available

BIAS

BIAS SCORE Data not available

RMSE

RMSE SCORE Data not available

BENCHMARK MAX MONTH Data not available

MODEL MAX MONTH Data not available

DIFFERENCE IN MAX MONTH Data not available

SEASONAL CYCLE SCORE Data not available

Spatially integrated regional mean click to collapse contents

MODEL COLORS Data not available

REGIONAL MEAN Data not available

ANNUAL CYCLE Data not available

MONTHLY ANOMALY Data not available

ANNUAL CYCLE Data not available

Data Information

Mean State
All Models
Data Information

Title:: FluxNet Tower eddy covariance measurements (Tier 1)

Version:: 2015

Institutions:: FluxNet, AmeriFlux, AfriFlux, AsiaFlux, ChinaFlux, Fluxnet-Canada, KoFlux, CarboAfrica, CarboEuropeIP, CarboItaly, CarboMont, GreenGrass, OzFlux-TERN, LBA, NECC, ICOS, TCOS-Siberia, and USCCC

References:: Reichstein, M., D. Papale, R. Valentini, M. Aubinet, C. Bernhofer, A. Knohl, T. Laurila, A. Lindroth, E. Moors, K. Pilegaard, and G. Seufert (2007), Determinants of terrestrialecosystem carbon balance inferred from European eddy covarianceflux sites, Geophys. Res. Lett., 34, L01402, doi:10.1029/2006GL027880; Lasslop, G., M. Reichstein, D. Papale, A.D. Richardson, A. Arneth, A. Barr, P. Stoy, and G. Wohlfahrt (2010), Separation of net ecosystem exchange into assimilation and respiration using a light response curve approach: critical issues and global evaluation, Global Change Biology, 16, 187-208, doi:10.1111/j.1365-2486.2009.02041.x; Knauer, J., S. Zaehle, B.E. Medlyn, M. Reichstein, C.A. Williams, M. Migliavacca, M.G. De Kauwe, C. Werner, C. Keitel, P. Kolari, J.-M. Limousin, and M.-L. Linderson (2018), Towards physiologically meaningful water use efficiency estimates from eddy covariance data, Global Change Biology, 24(2), 694-710, doi:10.1111/gcb.13893

Comment:: Fluxnet variable(s) used: NETRAD

SurfaceNetRadiation / FLUXNET2015 / 1991-2015 / global / BCC-CSM2-MR

Temporally integrated period mean click to collapse contents

Spatially integrated regional mean click to collapse contents

SurfaceNetRadiation / FLUXNET2015 / 1991-2015 / global / MNAME

Data Information

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