Seasonal Water Resources Management for Semiarid Areas: Regionalized Global Data and Transfer to Practise

GRoW-SaWaM (BMBF): The SaWaM-Project, which is funded by the German Federal Ministry of Education and Research (BMBF) within the "Water as a global Resource (GRoW)“ initiative, aims at the development of methods and products for improving the water management in semi-arid regions. The methodological core of the project is a model chain, where global hydrometeorological information is first adapted towards five different study regions in Brazil (Rio São Francisco Basin), Iran (Karun Basin), Sudan and Ethiopia (Tekeze-Atbara and Blue Nile Basins), Ecuador and Peru (Catamayo-Chira Basin) and West-Africa (Niger and Volta Basins). Special focus is put on the application of seasonal hydrometeorological forecasts, which give information about the precipitation or temperature to be expected during the coming months. The regionalized information is then used as driving data for hydrological and ecosystem models, which allow for the description of water-management-related parameters and aspects both in the past, but also for the coming months.

Further information can be found at http://grow-sawam.org/.

GRoW-SaWaM（德国联邦教育与研究部资助的BMBF项目）：SaWaM项目致力于在半干旱地区改善水资源管理方法与产品的开发，该项目由德国联邦教育与研究部（BMBF）在“水作为全球资源（GRoW）”倡议下资助。项目的方法论核心是一个模型链，该模型链首先将全球水文气象信息适配至巴西（圣弗朗西斯科河盆地）、伊朗（卡尔恩河盆地）、苏丹和埃塞俄比亚（特凯泽-阿特巴拉河盆地和青尼罗河盆地）、厄瓜多尔和秘鲁（卡塔马约-奇拉河盆地）以及西非（尼日尔河盆地和沃尔特河盆地）五个不同的研究区域。特别关注季节性水文气象预报的应用，这些预报提供了未来几个月预期的降水或温度信息。然后将区域化信息作为驱动数据，用于水文和生态系统模型，这些模型能够描述与水资源管理相关的参数和方面，不仅包括过去，也包括未来几个月。更多详细信息请访问http://grow-sawam.org/。