Mean State

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Period Mean [mm d-1]
Bias [mm d-1]
Bias Score [1]
Spatial Distribution Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 0.825
20250314.v3.LR.CBGC.FrazilEcosys.noSpinup.pm-cpu [-] 1.00 0.208 0.749 0.749 0.597 0.698

Temporally integrated period mean

BENCHMARK MEAN
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MODEL MEAN
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BIAS
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SPATIAL TAYLOR DIAGRAM
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MODEL COLORS
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Spatially integrated regional mean

MODEL COLORS
Data not available
amazon
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ob
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lena
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yenisey
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mississippi
Data not available
congo
Data not available
mackenzie
Data not available
parana
Data not available
nile
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amur
Data not available
niger
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changjiang
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yukon
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nelson
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stlawrence
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kolyma
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murray
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danube
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indus
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orange
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ganges
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columbia
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huanghe
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indigirka
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orinoco
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tocantins
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mekong
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severnayadvina
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dnepr
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colorado
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pechora
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brahmaputra
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riogrande
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coruripe
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don
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olenek
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yana
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churchill
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xijiang
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senegal
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irrawaddy
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volta
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fraser
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taz
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rhine
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vistula
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parnaiba
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huai
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liao
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kuskokwim
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All Models

Benchmark
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20250314.v3.LR.CBGC.FrazilEcosys.noSpinup.pm-cpu
Data not available
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Data Information

  Title:
derived GRDC Aiguo Runoff Dataset

  Source_file:
This product is generated from yearly GRDC_Aiguo observations

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

  Altitude:

  Site_name:
Amazon,Ob,Lena,Yenisey,Mississippi,Congo,Mackenzie,Parana,Nile,Amur,Niger (Issa Ber,Changjiang,Yukon,Nelson,St Lawrence,Kolyma,Murray,Danube,Indus,Orange (Senqu),Ganges (Ganga),Columbia,Huanghe,Indigirka,Orinoco,Tocantins,Mekong,Severnaya Dvina,Dnepr,Colorado-AR,Pechora,Brahmaputra,Rio Grande (Bra,Coruripe,Don,Olenek,Yana,Churchill,Xijiang,Senegal,Irrawaddy (Ayey,Volta,Fraser,Taz,Rhine,Vistula (Wisla),Parnaiba,Huai,Liao,Kuskokwim

  Creation_date:
Thu Apr 14 00:21:01 PDT 2016

  Approach:
I read the variable (FLOW) from the original data file, then pick up top 50 global largest rivers based on TRIP riverbasins. I also converted river flow from river gauge stations to river mouthes by using ratio of volume between river mouth and station (ratio_m2s), then I converted the unit from m3/s to Kg/m2/s by using drainage area at river mouth (area_mou), finally I saveed the data in NetCDF format by each month and each year.

  Temporal resolution:
monthly

  General information:
This product was derived from global 925 rivers gauge observations from Dai and Trenberth (2002).

  Spatial resolution:
river gauge observation

  Derived data code:
http://redwood.ess.uci.edu/mingquan/www/ILAMB/Download/CODES/CODES/subroutines/convert/convert-riverbasin-TRIP+runoff.ncl