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Improving the climate data management in the meteorological service of Angola: experience from SASSCAL.

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Title
Title Improving the climate data management in the meteorological service of Angola: experience from SASSCAL. ?
Author Posada, R., Nascimento, D., Neto, F.O.S., Riede, J. & Kaspar, F. ?
Abstract The knowledge on climate variability in parts of Southern Africa is limited because of the low avail- ability of historic and present-day ground-based observations (Niang et al., 2014). However, there is an increased need of climate information for research, climate adaptation measures and climate services. To respond to the challenges of climate change and related issues, Angola, Botswana, Germany, Namibia, South Africa and Zam- bia have initiated the interdisciplinary regional competence centre SASSCAL, the “Southern African Science Service Centre for Climate Change and Adaptive Land Management”. As part of the initiative, Germany’s na- tional meteorological service (Deutscher Wetterdienst, DWD) cooperates with the meteorological services of Angola, Botswana and Zambia in order to improve the management and availability of historical and present- day climate data in these countries. The first results of the cooperation between the German and the Angolan Meteorological Services are presented here. International assessments have shown that improvements of the data management concepts are needed in several countries. The experience of this cooperation can therefore provide hints for comparable activities in other regions. ?
Citation Posada, R., Nascimento, D., Neto, F.O.S., Riede, J. & Kaspar, F. (2016) Improving the climate data management in the meteorological service of Angola: experience from SASSCAL. Advances in Science and Research, 13, 97-105, doi:10.5194/asr-13-97-2016 ?
Dataset
Document Reference Date Type publication ?
Date 2016-06-20 ?
Language English ?
Online Linkage https://doi.org/10.5194/asr-13-97-2016 ?
Associated project SASSCAL (Phase 1) ?
Subproject 123 Historical and ongoing climate data management ?
Dataset Classification
Type PDF ?
Category publication ?
Metadata
Metadata Contact Person Kaspar, Frank, Dr ?
Metadata Date Stamp 2018-04-05 ?
Identifier
Internal identifier sdp_doc_documents_6346 (Link)