Mean State

Download Data
Anomaly Magnitude [cm]
RMSE [cm]
RMSE Score [1]
Interannual Variability Score [1]
Overall Score [1]
Benchmark [-] 6.93
E3SMv3 highECS 0051 [-] 6.73 6.31 0.373 0.972 0.573
E3SMv3 highECS 0091 [-] 6.57 5.88 0.400 0.949 0.583
E3SMv3 highECS 0101 [-] 6.50 5.93 0.395 0.940 0.577
E3SMv3 highECS 0111 [-] 6.75 6.13 0.380 0.974 0.578
E3SMv3 highECS 0121 [-] 6.52 5.95 0.395 0.942 0.578
E3SMv3 highECS 0131 [-] 6.75 6.06 0.385 0.975 0.581
E3SMv3 highECS 0141 [-] 6.62 5.98 0.391 0.956 0.580
E3SMv3 highECS 0151 [-] 6.55 5.97 0.396 0.946 0.579
E3SMv3 highECS 0161 [-] 6.56 6.06 0.392 0.948 0.578
E3SMv3 highECS 0171 [-] 6.60 5.86 0.399 0.953 0.584
E3SMv3 highECS 0181 [-] 6.78 6.10 0.386 0.978 0.583
E3SMv3 highECS 0191 [-] 6.40 5.83 0.400 0.927 0.575
E3SMv3 highECS 0201 [-] 6.63 6.04 0.386 0.958 0.577
E3SMv3 highECS 0211 [-] 6.39 5.87 0.395 0.925 0.571
E3SMv3 highECS 0221 [-] 6.50 5.85 0.400 0.940 0.580
E3SMv3 highECS 0231 [-] 6.62 6.05 0.383 0.956 0.574
E3SMv3 highECS 0241 [-] 6.63 5.81 0.400 0.958 0.586
E3SMv3 highECS 0251 [-] 6.60 5.81 0.397 0.953 0.582
E3SMv3 highECS 0261 [-] 6.57 5.93 0.393 0.949 0.578
E3SMv3 highECS 0271 [-] 6.77 6.04 0.388 0.977 0.584
E3SMv3 highECS 0281 [-] 6.66 6.02 0.391 0.961 0.581
E3SMv3 highECS 0291 [-] 6.66 6.24 0.373 0.962 0.569
E3SMv3 highECS 0301 [-] 6.75 6.18 0.378 0.974 0.576
E3SMv3 highECS 0311 [-] 6.60 5.84 0.397 0.954 0.583
E3SMv3 highECS 0321 [-] 6.78 6.04 0.390 0.978 0.586

Temporally integrated period mean

BENCHMARK ANOMALY MAGNITUDE
Data not available
Data not available
MODEL ANOMALY MAGNITUDE
Data not available
Data not available
RMSE
Data not available
Data not available
RMSE SCORE
Data not available
Data not available

Spatially integrated regional mean

MODEL COLORS
Data not available
amazon
Data not available
ob
Data not available
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
Data not available
ganges
Data not available
columbia
Data not available
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
Data not available
E3SMv3 highECS 0051
Data not available
Data not available
E3SMv3 highECS 0091
Data not available
Data not available
E3SMv3 highECS 0101
Data not available
Data not available
E3SMv3 highECS 0111
Data not available
Data not available
E3SMv3 highECS 0121
Data not available
Data not available
E3SMv3 highECS 0131
Data not available
Data not available
E3SMv3 highECS 0141
Data not available
Data not available
E3SMv3 highECS 0151
Data not available
Data not available
E3SMv3 highECS 0161
Data not available
Data not available
E3SMv3 highECS 0171
Data not available
Data not available
E3SMv3 highECS 0181
Data not available
Data not available
E3SMv3 highECS 0191
Data not available
Data not available
E3SMv3 highECS 0201
Data not available
Data not available
E3SMv3 highECS 0211
Data not available
Data not available
E3SMv3 highECS 0221
Data not available
Data not available
E3SMv3 highECS 0231
Data not available
Data not available
E3SMv3 highECS 0241
Data not available
Data not available
E3SMv3 highECS 0251
Data not available
Data not available
E3SMv3 highECS 0261
Data not available
Data not available
E3SMv3 highECS 0271
Data not available
Data not available
E3SMv3 highECS 0281
Data not available
Data not available
E3SMv3 highECS 0291
Data not available
Data not available
E3SMv3 highECS 0301
Data not available
Data not available
E3SMv3 highECS 0311
Data not available
Data not available
E3SMv3 highECS 0321
Data not available
Data not available

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