There is a newer version of the record available.

Published January 9, 2023 | Version 1.1
Software Open

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

  • 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, Brazi

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

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?

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

DSCompare_Screenshot1.png

Files (682.1 MB)

Name Size Download all
md5:e7db1e0d54e8f0f8275e64882709643c
333 Bytes Download
md5:e886599b1cdb1dd4c038fe16b63b0f55
2.1 kB Download
md5:464ac77472a45040b91e864524f9d5c4
116.9 MB Download
md5:1025f4637d84a15b234b0aa41ee18611
70.2 kB Preview Download
md5:256167f48314636195d2dc65877d4886
73.6 kB Preview Download
md5:19f3759c84a1895d03ce1d9740ed9cf1
104.1 kB Preview Download
md5:34062d2410566b9b3c7faae23dd983e9
20.2 kB Preview Download
md5:c01a5763ede967952d71bbb340e038d7
1.1 kB Download
md5:40a5a536e25bbcbfb982d035d61ee094
1.6 kB Preview Download
md5:507a27abbf2a3e78f6681487caf4aa1b
449.1 MB Download
md5:51913f9b7b7506d6ca5ee48a442cada4
115.5 MB Download
md5:6d1bd7bd54f4de33893d934566119455
362.2 kB Preview Download

Additional details

Funding

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