Mean State

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Anomaly Magnitude [cm]
RMSE [cm]
RMSE Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 6.88
CESM2_1_001 [-] 8.09 5.93 0.40 0.84 0.55
CESM2_1_002 [-] 8.10 6.22 0.39 0.84 0.54
CESM2_1_003 [-] 7.98 5.79 0.41 0.85 0.56
LENS1 [-] 6.21 5.74 0.40 0.94 0.58
LENS10 [-] 5.74 5.13 0.44 0.87 0.58
LENS5 [-] 5.61 4.89 0.44 0.86 0.58

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
Data not available
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
Data not available
parana
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nile
Data not available
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
Data not available
dnepr
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colorado
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All Models

Benchmark
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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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LENS1
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LENS10
Data not available
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LENS5
Data not available
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Data Information

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

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

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

  title: derived GRACE terrestrial water storage anomaly

  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