Download Data |
Period Mean Anomaly Std [cm] |
Std Difference [cm] |
Anomaly RMSE [cm] |
Diff Score [1] |
RMSE Score [1] |
Overall Score [1] |
||
---|---|---|---|---|---|---|---|---|
Benchmark | [-] | 5.02 | ||||||
CLM4.0 | [-] | 6.92 | 1.96 | 6.40 | 0.55 | 0.49 | 0.51 | |
CLM4.5 | [-] | 7.58 | 2.57 | 6.49 | 0.54 | 0.48 | 0.50 | |
CLM5.0 | [-] | 8.69 | 3.83 | 7.49 | 0.45 | 0.44 | 0.45 |
Download Data |
Period Mean Anomaly Std [cm] |
Std Difference [cm] |
Anomaly RMSE [cm] |
Diff Score [1] |
RMSE Score [1] |
Overall Score [1] |
||
---|---|---|---|---|---|---|---|---|
Benchmark | [-] | 6.07 | ||||||
CLM4.0 | [-] | 6.81 | 0.678 | 5.31 | 0.75 | 0.50 | 0.58 | |
CLM4.5 | [-] | 9.06 | 2.89 | 6.35 | 0.65 | 0.46 | 0.53 | |
CLM5.0 | [-] | 8.85 | 2.73 | 5.98 | 0.66 | 0.47 | 0.53 |
Download Data |
Period Mean Anomaly Std [cm] |
Std Difference [cm] |
Anomaly RMSE [cm] |
Diff Score [1] |
RMSE Score [1] |
Overall Score [1] |
||
---|---|---|---|---|---|---|---|---|
Benchmark | [-] | 5.93 | ||||||
CLM4.0 | [-] | 6.89 | 0.718 | 7.55 | 0.61 | 0.43 | 0.49 | |
CLM4.5 | [-] | 8.23 | 1.99 | 7.94 | 0.57 | 0.40 | 0.46 | |
CLM5.0 | [-] | 8.25 | 2.09 | 7.99 | 0.57 | 0.40 | 0.46 |
Download Data |
Period Mean Anomaly Std [cm] |
Std Difference [cm] |
Anomaly RMSE [cm] |
Diff Score [1] |
RMSE Score [1] |
Overall Score [1] |
||
---|---|---|---|---|---|---|---|---|
Benchmark | [-] | 4.91 | ||||||
CLM4.0 | [-] | 10.2 | 4.92 | 9.68 | 0.31 | 0.33 | 0.32 | |
CLM4.5 | [-] | 10.3 | 4.94 | 9.19 | 0.32 | 0.35 | 0.34 | |
CLM5.0 | [-] | 11.5 | 6.55 | 10.4 | 0.27 | 0.32 | 0.30 |
Download Data |
Period Mean Anomaly Std [cm] |
Std Difference [cm] |
Anomaly RMSE [cm] |
Diff Score [1] |
RMSE Score [1] |
Overall Score [1] |
||
---|---|---|---|---|---|---|---|---|
Benchmark | [-] | 4.39 | ||||||
CLM4.0 | [-] | 5.37 | 0.925 | 5.11 | 0.57 | 0.55 | 0.56 | |
CLM4.5 | [-] | 5.43 | 0.984 | 5.07 | 0.57 | 0.55 | 0.56 | |
CLM5.0 | [-] | 5.16 | 0.722 | 4.78 | 0.57 | 0.56 | 0.56 |
Download Data |
Period Mean Anomaly Std [cm] |
Std Difference [cm] |
Anomaly RMSE [cm] |
Diff Score [1] |
RMSE Score [1] |
Overall Score [1] |
||
---|---|---|---|---|---|---|---|---|
Benchmark | [-] | 4.17 | ||||||
CLM4.0 | [-] | 11.7 | 8.03 | 12.7 | 0.35 | 0.23 | 0.27 | |
CLM4.5 | [-] | 10.0 | 6.09 | 10.7 | 0.38 | 0.27 | 0.31 | |
CLM5.0 | [-] | 12.6 | 8.24 | 12.7 | 0.31 | 0.23 | 0.25 |
Download Data |
Period Mean Anomaly Std [cm] |
Std Difference [cm] |
Anomaly RMSE [cm] |
Diff Score [1] |
RMSE Score [1] |
Overall Score [1] |
||
---|---|---|---|---|---|---|---|---|
Benchmark | [-] | 4.91 | ||||||
CLM4.0 | [-] | 9.01 | 3.66 | 6.91 | 0.52 | 0.42 | 0.45 | |
CLM4.5 | [-] | 9.14 | 3.74 | 6.82 | 0.50 | 0.42 | 0.45 | |
CLM5.0 | [-] | 9.39 | 3.80 | 6.95 | 0.49 | 0.41 | 0.44 |
Download Data |
Period Mean Anomaly Std [cm] |
Std Difference [cm] |
Anomaly RMSE [cm] |
Diff Score [1] |
RMSE Score [1] |
Overall Score [1] |
||
---|---|---|---|---|---|---|---|---|
Benchmark | [-] | 6.00 | ||||||
CLM4.0 | [-] | 8.03 | 1.88 | 7.27 | 0.54 | 0.45 | 0.48 | |
CLM4.5 | [-] | 8.04 | 2.59 | 7.32 | 0.53 | 0.45 | 0.48 | |
CLM5.0 | [-] | 7.88 | 2.56 | 7.27 | 0.51 | 0.45 | 0.47 |
Download Data |
Period Mean Anomaly Std [cm] |
Std Difference [cm] |
Anomaly RMSE [cm] |
Diff Score [1] |
RMSE Score [1] |
Overall Score [1] |
||
---|---|---|---|---|---|---|---|---|
Benchmark | [-] | 2.53 | ||||||
CLM4.0 | [-] | 2.55 | 0.337 | 2.89 | 0.45 | 0.74 | 0.64 | |
CLM4.5 | [-] | 2.58 | 0.327 | 2.80 | 0.46 | 0.74 | 0.65 | |
CLM5.0 | [-] | 2.95 | 0.654 | 3.15 | 0.40 | 0.71 | 0.60 |
Download Data |
Period Mean Anomaly Std [cm] |
Std Difference [cm] |
Anomaly RMSE [cm] |
Diff Score [1] |
RMSE Score [1] |
Overall Score [1] |
||
---|---|---|---|---|---|---|---|---|
Benchmark | [-] | 5.89 | ||||||
CLM4.0 | [-] | 8.32 | 2.01 | 6.36 | 0.52 | 0.50 | 0.50 | |
CLM4.5 | [-] | 8.50 | 2.17 | 6.09 | 0.51 | 0.51 | 0.51 | |
CLM5.0 | [-] | 8.13 | 2.00 | 5.64 | 0.48 | 0.51 | 0.50 |
Download Data |
Period Mean Anomaly Std [cm] |
Std Difference [cm] |
Anomaly RMSE [cm] |
Diff Score [1] |
RMSE Score [1] |
Overall Score [1] |
||
---|---|---|---|---|---|---|---|---|
Benchmark | [-] | 10.7 | ||||||
CLM4.0 | [-] | 13.4 | 1.33 | 10.9 | 0.62 | 0.28 | 0.39 | |
CLM4.5 | [-] | 15.4 | 3.61 | 12.1 | 0.63 | 0.30 | 0.41 | |
CLM5.0 | [-] | 15.7 | 3.83 | 11.5 | 0.56 | 0.25 | 0.35 |
Download Data |
Period Mean Anomaly Std [cm] |
Std Difference [cm] |
Anomaly RMSE [cm] |
Diff Score [1] |
RMSE Score [1] |
Overall Score [1] |
||
---|---|---|---|---|---|---|---|---|
Benchmark | [-] | 9.77 | ||||||
CLM4.0 | [-] | 12.6 | 2.33 | 10.8 | 0.58 | 0.27 | 0.38 | |
CLM4.5 | [-] | 13.3 | 2.78 | 10.1 | 0.59 | 0.30 | 0.39 | |
CLM5.0 | [-] | 13.7 | 3.75 | 11.4 | 0.55 | 0.29 | 0.37 |
Download Data |
Period Mean Anomaly Std [cm] |
Std Difference [cm] |
Anomaly RMSE [cm] |
Diff Score [1] |
RMSE Score [1] |
Overall Score [1] |
||
---|---|---|---|---|---|---|---|---|
Benchmark | [-] | 7.47 | ||||||
CLM4.0 | [-] | 11.1 | 2.96 | 8.75 | 0.54 | 0.36 | 0.42 | |
CLM4.5 | [-] | 10.2 | 2.14 | 7.68 | 0.58 | 0.40 | 0.46 | |
CLM5.0 | [-] | 10.8 | 2.70 | 7.98 | 0.53 | 0.39 | 0.43 |
Download Data |
Period Mean Anomaly Std [cm] |
Std Difference [cm] |
Anomaly RMSE [cm] |
Diff Score [1] |
RMSE Score [1] |
Overall Score [1] |
||
---|---|---|---|---|---|---|---|---|
Benchmark | [-] | 11.2 | ||||||
CLM4.0 | [-] | 12.2 | 0.219 | 10.8 | 0.58 | 0.33 | 0.41 | |
CLM4.5 | [-] | 15.7 | 3.50 | 11.7 | 0.57 | 0.34 | 0.42 | |
CLM5.0 | [-] | 12.9 | 1.00 | 9.84 | 0.58 | 0.35 | 0.43 |
Download Data |
Period Mean Anomaly Std [cm] |
Std Difference [cm] |
Anomaly RMSE [cm] |
Diff Score [1] |
RMSE Score [1] |
Overall Score [1] |
||
---|---|---|---|---|---|---|---|---|
Benchmark | [-] | 5.69 | ||||||
CLM4.0 | [-] | 8.28 | 2.54 | 6.34 | 0.56 | 0.45 | 0.49 | |
CLM4.5 | [-] | 8.41 | 2.66 | 6.47 | 0.56 | 0.45 | 0.49 | |
CLM5.0 | [-] | 8.41 | 2.70 | 6.51 | 0.54 | 0.44 | 0.47 |
_NCProperties: version=1|netcdflibversion=4.4.1|hdf5libversion=1.8.17
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