DOI: 10.1016/j.watres.2020.115529
论文题名: Meteolakes: An operational online three-dimensional forecasting platform for lake hydrodynamics
作者: Baracchini T. ; Wüest A. ; Bouffard D.
刊名: Water Research
ISSN: 431354
出版年: 2020
卷: 172 语种: 英语
英文关键词: 3D hydrodynamics
; Data assimilation
; Forecasting
; Information dissemination
; Lake modelling
; Real-time monitoring
Scopus关键词: Ecosystems
; Environmental management
; Forecasting
; Hydrodynamics
; Information dissemination
; Product design
; Simulation platform
; Biogeochemical interactions
; Data assimilation
; Global environmental change
; Real time monitoring
; Three-dimensional hydrodynamic models
; Three-dimensional numerical simulations
; User-friendly platforms
; Water resources management
; Lakes
; biogeochemistry
; data assimilation
; data quality
; environmental monitoring
; forecasting method
; freshwater ecosystem
; hydrodynamics
; information management
; lake ecosystem
; real time
; three-dimensional modeling
; World Wide Web
; Article
; environmental planning
; environmental policy
; forecasting
; human
; hydrodynamics
; lake
; physical phenomena
; priority journal
; scientist
; simulation
; water management
; water supply
; ecosystem
; environmental monitoring
; forecasting
; Ecosystem
; Environmental Monitoring
; Forecasting
; Hydrodynamics
; Lakes
英文摘要: Environmental management depends on high-quality monitoring and its meaningful interpretation. The combination of local weather dynamics, regional anthropogenic stresses and global environmental changes make the evaluation of monitoring information in dynamic freshwater systems a challenging task. While the lake ecosystems gather many complex biogeochemical interactions, they remain constrained by the same physical environment of mixing and transport. It is therefore crucial to obtain high-quality physical system insight. Three-dimensional hydrodynamic models are perfectly suited for providing such information. However, these models are complex to implement, and their use is often limited to modellers. Here, we aim to provide model output via a user-friendly platform to a broad audience ranging from scientists to public and governmental stakeholders. We present a unified approach merging the apparently diverse interests through meteolakes.ch, an online platform openly disseminating lake observations and three-dimensional numerical simulations in near real-time with short-term forecasts and data assimilation. Meteolakes is scalable to a broad range of devices, modular and distributed, hence allowing its expansion to other regions and hardware infrastructures. Since 2016, the platform has continuously provided timely synoptic lake information to more than 250,000 users. This web-based system was built not only to provide guidance to scientists in the design and analysis of field experiments and to foster interdisciplinary lake studies, but also to assist governmental agencies and professionals in the long-term policy and planning of water resources management. Finally, our system aimed at promoting awareness and understanding of the complexity of lakes and providing information to the public through user-friendly interfaces. This article details the design and operation of such a platform and its products. Applications are demonstrated by examples of a recent upwelling and a storm event. Both cases illustrate how Meteolakes help scientists in their quest for process understanding as well as water professionals and civil society in providing specific warnings. © 2020 The Authors Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/158476
Appears in Collections: 气候变化与战略
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作者单位: Physics of Aquatic Systems Laboratory (APHYS) – Margaretha Kamprad Chair, ENAC, EPFL, Lausanne, 1015, Switzerland; Eawag, Swiss Federal Institute of Aquatic Science and Technology, Surface Waters – Research and Management, Kastanienbaum6047, Switzerland
Recommended Citation:
Baracchini T.,Wüest A.,Bouffard D.. Meteolakes: An operational online three-dimensional forecasting platform for lake hydrodynamics[J]. Water Research,2020-01-01,172