Mean State

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Anomaly Magnitude [cm]
RMSE [cm]
RMSE Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 6.93
CESM2_1_001 [-] 8.10 5.95 0.400 0.846 0.549
CESM2_1_002 [-] 8.11 6.24 0.386 0.844 0.539
CESM2_1_003 [-] 7.99 5.81 0.407 0.858 0.557
CRUJRA [-] 6.20 3.37 0.596 0.899 0.697
GSWP3 [-] 7.02 3.36 0.583 0.988 0.718
LENS1 [-] 6.21 5.77 0.401 0.929 0.577
LENS10 [-] 5.74 5.17 0.435 0.867 0.579
LENS5 [-] 5.62 4.94 0.443 0.851 0.579
PRINCETON [-] 6.35 3.26 0.600 0.919 0.707

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
Data not available
ob
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lena
Data not available
yenisey
Data not available
mississippi
Data not available
congo
Data not available
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
Data not available
kolyma
Data not available
murray
Data not available
danube
Data not available
indus
Data not available
orange
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ganges
Data not available
columbia
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huanghe
Data not available
indigirka
Data not available
orinoco
Data not available
tocantins
Data not available
mekong
Data not available
severnayadvina
Data not available
dnepr
Data not available
colorado
Data not available

All Models

Benchmark
Data not available
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CESM2_1_001
Data not available
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CESM2_1_002
Data not available
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CESM2_1_003
Data not available
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CRUJRA
Data not available
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GSWP3
Data not available
Data not available
LENS1
Data not available
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LENS10
Data not available
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LENS5
Data not available
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PRINCETON
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