Addendum: Arvor, D. et al. Monitoring Rainfall Patterns in the Southern Amazon with PERSIANN-CDR Data: Long-Term Characteristics and Trends. Remote Sens. 2017, 9, 889

Damien Arvor; Beatriz M. Funatsu; Véronique Michot; Vincent Dubreuil

doi:10.3390/rs10010128

,

and

¹

French National Center for Scientific Research (CNRS), Université Rennes 2, UMR LETG, Place du Recteur Henri Le Moal, 354043 Rennes CEDEX, France

²

CNRS, Université de Nantes, UMR LETG, Campus du Tertre BP 81227, 44312 Nantes CEDEX 3, France

^*

Author to whom correspondence should be addressed.

Remote Sens.2018, 10(1), 128;https://doi.org/10.3390/rs10010128

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After publication of the paper [] it was found that the Acknowledgments section did not mention the institutions that supported this research. This work was supported by (1) Rennes Métropole, who funded an “Allocation d’Installation Scientifique”, and (2) the European Union, which funded the H2020-MSCA-RISE-2015 ODYSSEA project (Project Reference: 691053). The authors would like to apologize for any inconvenience caused. The change does not affect the scientific results. The manuscript will be updated and the original will remain online on the article webpage, with a reference to this addendum.

Reference

Arvor, D.; Funatsu, B.; Michot, V.; Dubreuil, V. Monitoring Rainfall patterns in the Southern Amazon with PERSIANN-CDR Data: Long-term characteristics and trends. Remote Sens. 2017, 9, 889. [Google Scholar] [CrossRef]

© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

Addendum: Arvor, D. et al. Monitoring Rainfall Patterns in the Southern Amazon with PERSIANN-CDR Data: Long-Term Characteristics and Trends. Remote Sens. 2017, 9, 889

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