Hydrometeorological Time Series Management—A Case Study from the Western Balkans

Michael Haase (), Bashkim Kastrati (), Angel Marcev (), Gerrit Bodenbender (), Günter Meon (), Gerhard Riedel () and Nirina Ravalitera ()
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Michael Haase: Hydrometeorological Institute of Kosovo
Bashkim Kastrati: Hydrometeorological Institute of Kosovo
Angel Marcev: Montenegro Institute of Hydrometeorology and Seismology
Gerrit Bodenbender: Deutsche Gesellschaft für Internationale Zusammenarbeit GmbH
Günter Meon: TU Braunschweig, Leichtweiß-Institute for Hydraulic Engineering and Water Resources - Section Hydrology
Gerhard Riedel: TU Braunschweig, Leichtweiß-Institute for Hydraulic Engineering and Water Resources - Section Hydrology
Nirina Ravalitera: World Meteorological Organization

A chapter in Advances and New Trends in Environmental Informatics, 2018, pp 39-49 from Springer

Abstract: Abstract Hydrometeorological services carry out observations on climatological and hydrological parameters. Time series management systems help to manage and archive these data efficiently. Available commercial solutions offer a broad range of functions to be drawn on. However, some hydrometeorological services might not be able to afford these solutions, in particular in developing countries. This article introduces the Meteorological, Climatological and Hydrological Database Management System (MCH) which is promoted by WMO to its members as an open source/freeware product for data management in this context. It lays out how MCH is applied within the project “Climate Change Adaptation in Flood Risk Management in the Western Balkans” which is jointly implemented in Albania, Kosovo, Macedonia and Montenegro by Deutsche Gesellschaft für Internationale Zusammenarbeit GmbH on behalf of the German Federal Ministry for Economic Cooperation and Development. Applications developed in this context are introduced for spatial drought monitoring utilizing the Standardized Precipitation Index (SPI), hydrometeorological reporting in a homogenized yearbook format as well as data compilation from spatially distributed online data sources for flow and flood forecasting.

Keywords: Time series management; Environmental reporting; Hydrological modeling; Water resources management; Climate change (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/978-3-319-99654-7_3

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