IMPROVING RAINFALL MEASUREMENT IN GAUGE POOR REGIONS THANKS TO MOBILE TELECOMMUNICATION NETWORKS

The presented algorithms are based on two public domain and open source programming languages-namely, Python and R. It is believed that free open-source software environments will foster a wide distribution and application of the tools in universities and research institutes from developing countrie...

Full description

Saved in:
Bibliographic Details
Published in:Bulletin of the American Meteorological Society 2016-03, Vol.97 (3), p.ES49-ES51
Main Authors: Gosset, Marielle, Kunstmann, Harald, Zougmore, François, Cazenave, Frederic, Leijnse, Hidde, Uijlenhoet, Remko, Chwala, Christian, Keis, Felix, Doumounia, Ali, Boubacar, Barry, Kacou, Modeste, Alpert, Pinhas, Messer, Hagit, Rieckermann, Jörg, Hoedjes, Joost
Format: Article
Language:English
Subjects:
Climate change
Colleges & universities
Communication
Developing countries
Floods
Land use
LDCs
MEETING SUMMARIES
Rain
Rainfall measurement
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The presented algorithms are based on two public domain and open source programming languages-namely, Python and R. It is believed that free open-source software environments will foster a wide distribution and application of the tools in universities and research institutes from developing countries, as well as meteorological services and regional climate service centers such as CILSS/Centre Regional de Formation et d'Application en Agrométéorologie et Hydrologie Opérationnelle (AGRYMET), West African Science Service Center on Climate Change and Adapted Land Use (WASCAL), or the African Centre of Meteorological Applications for Development (ACMAD) in West Africa.
ISSN:0003-0007
1520-0477
DOI:10.1175/BAMS-D-15-00164.1