Global - Land Subtropical desert Temperate seasonal forest Tropical rain forest Tropical seasonal forest/savanna Tundra Woodland/shrubland

	Download Data	Period Mean (original grids) [Watt m-2]		Bias [Watt m-2]	RMSE [Watt m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	313.
ACCESS-ESM1-5	[-]	312.		2.41	21.3	0.445		0.653	0.604	0.958	0.705
BCC-CSM2-MR	[-]	307.		-4.36	22.3	0.418		0.660	0.603	0.957	0.706
CanESM5	[-]	305.		-6.88	23.5	0.418		0.659	0.568	0.966	0.690
CESM2	[-]	313.		2.32	20.7	0.471		0.685	0.605	0.958	0.713
GFDL-ESM4	[-]	305.		-5.46	20.3	0.472		0.709	0.619	0.956	0.726
IPSL-CM6A-LR	[-]	308.		-2.70	20.9	0.551		0.655	0.597	0.956	0.701
MeanCMIP6	[-]	308.		-2.93	17.3	0.499		0.698	0.683	0.956	0.755
MIROC-ESM2L	[-]	315.		2.71	23.1	0.499		0.647	0.601	0.945	0.699
MPI-ESM1.2-HR	[-]	309.		-1.91	20.9	0.444		0.696	0.615	0.955	0.721
NorESM2-LM	[-]	313.		2.81	20.8	0.526		0.673	0.606	0.962	0.711
UKESM1-0-LL	[-]	304.		-7.02	22.7	0.681		0.643	0.595	0.939	0.693

	Download Data	Period Mean (original grids) [Watt m-2]		Bias [Watt m-2]	RMSE [Watt m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	315.
ACCESS-ESM1-5	[-]	332.		12.3	31.2	1.19		0.501	0.614	0.841	0.642
BCC-CSM2-MR	[-]	331.		7.42	28.6	1.19		0.463	0.621	0.822	0.632
CanESM5	[-]	328.		6.11	34.1	1.02		0.445	0.607	0.832	0.623
CESM2	[-]	339.		16.6	26.7	1.70		0.540	0.621	0.768	0.638
GFDL-ESM4	[-]	336.		13.4	28.1	1.69		0.550	0.603	0.788	0.636
IPSL-CM6A-LR	[-]	332.		8.93	33.6	1.02		0.471	0.626	0.832	0.639
MeanCMIP6	[-]	335.		11.6	26.6	1.19		0.508	0.708	0.821	0.686
MIROC-ESM2L	[-]	344.		22.2	32.1	1.19		0.423	0.625	0.822	0.624
MPI-ESM1.2-HR	[-]	339.		15.1	29.7	1.19		0.535	0.622	0.821	0.650
NorESM2-LM	[-]	340.		17.8	34.0	1.02		0.446	0.607	0.851	0.628
UKESM1-0-LL	[-]	328.		4.25	31.9	1.85		0.418	0.648	0.778	0.623

	Download Data	Period Mean (original grids) [Watt m-2]		Bias [Watt m-2]	RMSE [Watt m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	320.
ACCESS-ESM1-5	[-]	328.		7.42	19.9	0.442		0.723	0.628	0.970	0.738
BCC-CSM2-MR	[-]	316.		-3.94	20.0	0.295		0.772	0.596	0.980	0.736
CanESM5	[-]	321.		-0.778	20.8	0.583		0.779	0.579	0.953	0.723
CESM2	[-]	326.		5.32	20.1	0.442		0.743	0.604	0.970	0.731
GFDL-ESM4	[-]	315.		-5.40	18.2	0.443		0.779	0.629	0.970	0.752
IPSL-CM6A-LR	[-]	324.		3.22	19.1	0.738		0.717	0.625	0.950	0.729
MeanCMIP6	[-]	321.		0.210	15.1	0.517		0.800	0.680	0.965	0.781
MIROC-ESM2L	[-]	325.		3.58	20.7	0.443		0.735	0.599	0.970	0.726
MPI-ESM1.2-HR	[-]	319.		-1.15	17.9	0.295		0.814	0.613	0.980	0.755
NorESM2-LM	[-]	326.		5.63	20.1	0.513		0.768	0.607	0.966	0.737
UKESM1-0-LL	[-]	319.		-2.41	19.7	0.443		0.789	0.596	0.970	0.738

	Download Data	Period Mean (original grids) [Watt m-2]		Bias [Watt m-2]	RMSE [Watt m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	422.
ACCESS-ESM1-5	[-]	429.		6.72	10.5	1.03		0.217	0.209	0.930	0.391
BCC-CSM2-MR	[-]	430.		7.37	11.1	1.03		0.187	0.181	0.930	0.370
CanESM5	[-]	426.		3.86	9.12	1.03		0.416	0.178	0.930	0.426
CESM2	[-]	436.		13.4	17.3	0.983		0.0470	0.187	0.937	0.339
GFDL-ESM4	[-]	423.		0.387	6.71	1.03		0.916	0.222	0.930	0.572
IPSL-CM6A-LR	[-]	413.		-8.91	14.5	2.05		0.132	0.0718	0.745	0.255
MeanCMIP6	[-]	426.		3.48	6.68	1.03		0.453	0.320	0.930	0.506
MIROC-ESM2L	[-]	426.		3.31	8.68	4.00		0.471	0.172	0.263	0.270
MPI-ESM1.2-HR	[-]	423.		0.696	5.87	5.02		0.854	0.273	0.0740	0.368
NorESM2-LM	[-]	435.		12.6	15.8	1.03		0.0569	0.152	0.930	0.323
UKESM1-0-LL	[-]	421.		-1.25	7.68	1.03		0.752	0.172	0.930	0.507

	Download Data	Period Mean (original grids) [Watt m-2]		Bias [Watt m-2]	RMSE [Watt m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	391.
ACCESS-ESM1-5	[-]	399.		6.96	18.3	1.01		0.705	0.459	0.853	0.619
BCC-CSM2-MR	[-]	396.		3.54	16.9	0.926		0.631	0.483	0.864	0.615
CanESM5	[-]	395.		2.79	19.7	1.27		0.722	0.424	0.817	0.597
CESM2	[-]	402.		10.1	18.8	0.922		0.564	0.450	0.880	0.586
GFDL-ESM4	[-]	391.		-1.33	16.9	1.44		0.645	0.491	0.799	0.607
IPSL-CM6A-LR	[-]	393.		1.60	19.1	0.833		0.619	0.442	0.881	0.596
MeanCMIP6	[-]	395.		3.62	14.1	1.01		0.709	0.550	0.859	0.667
MIROC-ESM2L	[-]	396.		3.44	17.3	1.53		0.651	0.475	0.769	0.593
MPI-ESM1.2-HR	[-]	392.		0.0931	18.2	1.18		0.640	0.454	0.831	0.595
NorESM2-LM	[-]	403.		11.7	21.2	0.839		0.533	0.431	0.895	0.573
UKESM1-0-LL	[-]	394.		1.62	16.0	1.18		0.616	0.486	0.823	0.603

	Download Data	Period Mean (original grids) [Watt m-2]		Bias [Watt m-2]	RMSE [Watt m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	257.
ACCESS-ESM1-5	[-]	239.		-18.4	42.0	0.258		0.705	0.448	0.983	0.646
BCC-CSM2-MR	[-]	231.		-26.5	38.1	0.258		0.731	0.471	0.983	0.664
CanESM5	[-]	227.		-30.6	45.0	0.258		0.616	0.464	0.983	0.632
CESM2	[-]	246.		-10.8	42.3	0.258		0.647	0.472	0.983	0.644
GFDL-ESM4	[-]	236.		-20.9	42.9	0.258		0.665	0.609	0.983	0.717
IPSL-CM6A-LR	[-]	238.		-19.0	46.6	0.00		0.658	0.467	1.00	0.648
MeanCMIP6	[-]	237.		-20.2	40.2	0.258		0.683	0.507	0.983	0.670
MIROC-ESM2L	[-]	232.		-25.4	45.4	0.517		0.682	0.441	0.965	0.632
MPI-ESM1.2-HR	[-]	237.		-19.8	38.6	0.512		0.684	0.464	0.936	0.637
NorESM2-LM	[-]	250.		-7.27	45.1	0.258		0.653	0.451	0.983	0.635
UKESM1-0-LL	[-]	220.		-37.0	42.8	0.258		0.506	0.611	0.983	0.677

	Download Data	Period Mean (original grids) [Watt m-2]		Bias [Watt m-2]	RMSE [Watt m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	306.
ACCESS-ESM1-5	[-]	312.		5.31	19.0	0.00		0.807	0.670	1.00	0.787
BCC-CSM2-MR	[-]	298.		-8.63	18.5	0.207		0.820	0.671	0.986	0.787
CanESM5	[-]	297.		-9.44	19.1	0.310		0.823	0.677	0.979	0.789
CESM2	[-]	306.		-0.113	17.2	0.207		0.867	0.671	0.986	0.799
GFDL-ESM4	[-]	299.		-6.79	18.0	0.00		0.832	0.693	1.00	0.805
IPSL-CM6A-LR	[-]	302.		-4.12	17.1	0.517		0.822	0.686	0.965	0.790
MeanCMIP6	[-]	300.		-5.74	13.6	0.310		0.866	0.761	0.979	0.842
MIROC-ESM2L	[-]	308.		1.29	17.8	0.103		0.828	0.659	0.993	0.785
MPI-ESM1.2-HR	[-]	303.		-3.47	16.9	0.207		0.865	0.691	0.986	0.808
NorESM2-LM	[-]	306.		-0.0290	14.7	0.723		0.925	0.694	0.951	0.816
UKESM1-0-LL	[-]	298.		-7.90	18.4	0.517		0.813	0.674	0.965	0.781

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 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 Spatially integrated regional mean cycle Spatially integrated regional mean detrended cycle Spatially integrated regional mean

  Title:

derived WRMC BSRN

  Source_file:

This product is generated from monthly WRMC.BSRN observations

  Conventions:

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

  Altitude:

BSRN

  Site_name:

ASP,BAR,BER,BIL,BON,BOS,BOU,BRB,CAB,CAM,CAR,CLH,CNR,COC,DAA,DAR,DOM,DRA,DWN,E13,EUR,FLO,FPE,FUA,GCR,GVN,ILO,ISH,IZA,KWA,LAU,LER,LIN,MAN,MNM,NAU,NYA,PAL,PAY,PSU,PTR,REG,RLM,SAP,SBO,SMS,SOV,SPO,SXF,SYO,TAM,TAT,TIK,TOR,XIA

  Creation_date:

Sun Jun 22 23:42:20 PDT 2014

  Approach:

First I used BSRN Toolbox to extract lwdn (surface downward longwave radiation) from raw data files, and saved the data in ascii format, then I organized all site data together for each month and year and saved them in a netcdf file.

  Temporal resolution:

monthly

  General information:

This product was derived from WRMC-BSRN radiation dataset.

  Spatial resolution:

site observations

  Derived data code:

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