Mean State

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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 [-] -64.0
PPE_115 [-] -67.3 -7.15 14.3 0.657 0.392 0.503 0.948 0.587
TRENDY2024 [-] -68.4 -7.38 14.5 0.292 0.354 0.455 0.981 0.561
TRENDY2025 [-] -67.1 -7.63 14.2 1.08 0.342 0.491 0.843 0.542

Temporally integrated period mean

BENCHMARK MEAN
Data not available
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MODEL MEAN
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BIAS
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BIAS SCORE
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RMSE
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RMSE SCORE
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BENCHMARK MAX MONTH
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MODEL MAX MONTH
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DIFFERENCE IN MAX MONTH
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SEASONAL CYCLE SCORE
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Spatially integrated regional mean

MODEL COLORS
Data not available
REGIONAL MEAN
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ANNUAL CYCLE
Data not available
MONTHLY ANOMALY
Data not available
ANNUAL CYCLE
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All Models

Benchmark
Data not available
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PPE_115
Data not available
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TRENDY2024
Data not available
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TRENDY2025
Data not available
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Data Information

  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:
Mon Jun 23 15:54:34 PDT 2014

  Approach:
First I used BSRN Toolbox to extract lwdn (surface downward longwave radiation) and lwup (surface upward longwave radiation) from raw data files, and saved the data in ascii format, then I calculated surface net longwave radation using lwdn and lwup, and organized all site data together for each month and year and saved them in netcdf files.

  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