Published May 5, 2023 | Version 2.1
Software Open

Software to analyze, compare and validate analysis and reanalysis datasets with an observed dataset (DSCompare).

Creators

  • 1. Laboratory of Physical, Coastal and Estuarine Oceanography (LOFEC). Department of Oceanography. Federal University of Pernambuco. Recife-PE. Brazil.
  • 2. Laboratoire d'Etudes en Géophysique et Océanographie Spatiales (LEGOS), Toulouse Cedex 9, France.
  • 3. Brazilian Research network on Global Climate Change (Rede CLIMA), São José dos Campos, SP, Brazil
  • 4. Laboratoire d'Etudes en Géophysique et Océanographie Spatiales (LEGOS), 18 avenue Edouard Belin, 31401, Toulouse Cedex 9, France

Description

Computational tool that analyzes, compares and validates analysis and reanalysis datasets with an observed dataset using statistical tests such as Mann Whitney (U-test), t-test, F-test, Root Mean Square Error (RMSE), correlation coefficient, BIAS, normalized BIAS, trend, scatter index and maximum anomalies.

How to install

Matlab 2021b compatible software

- Open Matlab
- Go to APP tab
- Click on the "Install App" button
- Select the DSCompare.mlappinstall file
- In the Install dialog click on the "Install" button

Create a directory and copy into it the following databases: gshhs_f_coast.mat, gshhs_f_rivers.mat, and wdb_f_borders.mat.

How to run

Type in the Matlab command window:

>> DSCompare <Enter>

or Find DSCompare in the APP tab of Matlab.

What's new in DSCompare?

v2.1

- Control of the exponent in the color bar
- Comparison test indicators were added 

v2.0

- Improved file upload
- Minimum and maximum control on the scale
- Better error control in all statistical tests
- Better performance in exporting figures
- Better performance in copying figures to the clipboard
- Added a layer of major rivers to the maps
- Added a layer of state borders
- LED signals for each statistical test
- Customization of the fonts


v1.3

- Export PDF figures
- Export Matlab figures

v1.2

- Added basic grid stat

v1.1

- Improved loading of NetCDF files
- Added a specific depth selector

Notes

Humberto L. Varona acknowledges the TRIATLAS project, which has received funding from the European Union's Horizon 2020 Research and Innovation Program under grant agreement no. 817578. Moacyr Araujo acknowledges the support of the Brazilian Research Network on Global Climate Change-Rede CLIMA (FINEP grants 01.13.0353-00). This work is a contribution to the Projects INCT AmbTropic–Brazilian National Institute of Science and Technology for Tropical Marine Environments (grants 565054/2010-4, 625 8936/2011, and 465634/2014-1, CNPq/FAPESB/CAPES), and to the International Joint Laboratory TAPIOCA (IRD-UFPE-UFRPE).

Files

README.md

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Additional details

Funding

TRIATLAS – Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management 817578
European Commission