Mean State

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Anomaly Magnitude [cm]
RMSE [cm]
RMSE Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 6.70
bcc-csm1-1 [-] 0.288 6.68 0.370 0.384 0.375
bcc-csm1-1-m [-] 3.21 6.50 0.378 0.594 0.450
CESM1-BGC [-] 14.8 14.0 0.230 0.298 0.253
E3SMv1-CTC [-] 6.29 4.82 0.450 0.940 0.614
E3SMv1-ECA [-] 7.52 5.99 0.387 0.885 0.553
GFDL-ESM2G [-] 6.86 5.52 0.397 0.976 0.590
inmcm4 [-] 4.60 5.42 0.424 0.731 0.526
IPSL-CM5A-LR [-] 26.2 26.3 0.0928 0.0542 0.0799
MeanCMIP5 [-] 6.84 6.77 0.376 0.979 0.577
MIROC-ESM [-] 6.43 5.94 0.390 0.960 0.580
MPI-ESM-LR [-] 6.00 5.22 0.419 0.902 0.580
NorESM1-ME [-] 5.64 4.91 0.451 0.854 0.585

Temporally integrated period mean

BENCHMARK ANOMALY MAGNITUDE
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MODEL ANOMALY MAGNITUDE
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RMSE
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RMSE SCORE
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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
Data not available
mississippi
Data not available
congo
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mackenzie
Data not available
parana
Data not available
nile
Data not available
amur
Data not available
niger
Data not available
changjiang
Data not available
yukon
Data not available
nelson
Data not available
stlawrence
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kolyma
Data not available
murray
Data not available
danube
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indus
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orange
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ganges
Data not available
columbia
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huanghe
Data not available
indigirka
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orinoco
Data not available
tocantins
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mekong
Data not available
severnayadvina
Data not available
dnepr
Data not available
colorado
Data not available

All Models

Benchmark
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bcc-csm1-1
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bcc-csm1-1-m
Data not available
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CESM1-BGC
Data not available
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E3SMv1-CTC
Data not available
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E3SMv1-ECA
Data not available
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GFDL-ESM2G
Data not available
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inmcm4
Data not available
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IPSL-CM5A-LR
Data not available
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MeanCMIP5
Data not available
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MIROC-ESM
Data not available
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MPI-ESM-LR
Data not available
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NorESM1-ME
Data not available
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Data Information

  Title:
derived GRACE terrestrial water storage anomaly

  Source_file:
This product is generated from monthly 1 degree GRACE Tellus CSR observations

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

  Creation_date:
Wed Apr 27 10:05:23 PDT 2016

  Approach:
I simply read the monthly terrestrial water storage change from original file, interpolate the original 1x1 to 0.5x0.5, convert the uni from cm to kg/m2 (equivalent to mm) and separated the time series by a month and saved them by each month and each year.

  Temporal resolution:
monthly

  General information:
This product was derived from GRACE Tellus.

  Spatial resolution:
0.5x0.5 degree

  Derived data code:
http://redwood.ess.uci.edu/mingquan/www/ILAMB/Download/CODES/CODES/subroutines/convert/convert1-twsa-grace.ncl