Mean State

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Anomaly Magnitude [cm]
RMSE [cm]
RMSE Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 6.93
CanESM5 [-] 8.17 8.38 0.323 0.836 0.494
CMIP6-MMM [-] 9.01 8.59 0.325 0.742 0.464
IPSL-CM6A-LR [-] 7.69 7.40 0.375 0.897 0.549
MIROC-ES2L [-] 6.56 6.15 0.390 0.948 0.576
NorESM2-LM [-] 8.10 6.69 0.387 0.844 0.539
UKESM1-0-LL [-] 8.85 8.73 0.365 0.758 0.496

Temporally integrated period mean

BENCHMARK ANOMALY MAGNITUDE
Data not available
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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
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mississippi
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congo
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mackenzie
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parana
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nile
Data not available
amur
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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
Data not available
severnayadvina
Data not available
dnepr
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colorado
Data not available

All Models

Benchmark
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CanESM5
Data not available
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CMIP6-MMM
Data not available
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IPSL-CM6A-LR
Data not available
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MIROC-ES2L
Data not available
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NorESM2-LM
Data not available
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UKESM1-0-LL
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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