A framework for coupling atmospheric and hydrological models

被引:0
|
作者
Pietroniro, A. [1 ]
Soulis, E.D. [1 ]
Snelgrove, K. [1 ]
Kouwen, N. [1 ]
机构
[1] National Water Research Institute, Environment Canada, Saskatchewan S7N 3H5, Canada
来源
IAHS-AISH Publication | 2001年 / 270期
关键词
Climatology - Confined flow - Surface waters - Vegetation - Weather forecasting;
D O I
暂无
中图分类号
学科分类号
摘要
There is a strong global research effort in coupling atmospheric and hydrological models for improved hydrological flow modelling and improved atmospheric simulation. The land surface is an important hydrological control as it is the primary influence in the surface water budget and it is almost always a requirement in the implementation of either hydrological or atmospheric models. Sophisticated soil-vegetation atmospheric transfer (SVAT) schemes are currently being implemented in global climate models (GCMs), regional climate models (RCMs) and day-to-day operational forecasting numerical weather prediction models (NWPs). Rarely have these been incorporated into hydrological models. This paper focuses on describing the coupling of an atmospheric model (both NWP and RCM) with a hydrological model. A conceptual framework for model development was initiated using different levels of coupling in order to work towards a complete two-way coupled model.
引用
下载
收藏
页码:27 / 34
相关论文
共 50 条
  • [31] A calibration framework for distributed hydrological models considering spatiotemporal parameter variations
    Liu, Yunping
    Gao, Yuqin
    Wu, Ming
    Jan van Andel, Schalk
    Gao, Li
    Tan, Xilan
    Journal of Hydrology, 2024, 645
  • [32] A framework for the broad dissemination of hydrological models for non-expert users
    Schaffhauser, Timo
    Garijo, Daniel
    Osorio, Maximiliano
    Bittner, Daniel
    Pierce, Suzanne
    Vargas, Hernan
    Disse, Markus
    Gil, Yolanda
    ENVIRONMENTAL MODELLING & SOFTWARE, 2023, 164
  • [33] Framework for Understanding Structural Errors (FUSE): A modular framework to diagnose differences between hydrological models
    Clark, Martyn P.
    Slater, Andrew G.
    Rupp, David E.
    Woods, Ross A.
    Vrugt, Jasper A.
    Gupta, Hoshin V.
    Wagener, Thorsten
    Hay, Lauren E.
    WATER RESOURCES RESEARCH, 2008, 44
  • [34] Coupling Deep Learning and Physically Based Hydrological Models for Monthly Streamflow Predictions
    Xu, Wenxin
    Chen, Jie
    Corzo, Gerald
    Xu, Chong-Yu
    Zhang, Xunchang John
    Xiong, Lihua
    Liu, Dedi
    Xia, Jun
    WATER RESOURCES RESEARCH, 2024, 60 (02)
  • [35] Coupling Hydrological and Hydrodynamic Models for Assessing the Impact of Water Pollution on Lake Evaporation
    de Farias Mesquita, Janine Brandao
    Lima Neto, Iran Eduardo
    SUSTAINABILITY, 2022, 14 (20)
  • [36] Identifying stream temperature variation by coupling meteorological, hydrological, and water temperature models
    Tang, Chunling
    Garcia, Valeria
    JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION, 2023, 59 (04): : 665 - 680
  • [37] ON THE ATMOSPHERIC BRANCH OF THE HYDROLOGICAL CYCLE
    CHEN, TC
    PFAENDTNER, J
    JOURNAL OF CLIMATE, 1993, 6 (01) : 161 - 167
  • [38] The use of coupled atmospheric and hydrological models for water-resources management in headwater basins
    Leavesley, G
    Hay, L
    HYDROLOGY, WATER RESOURCES AND ECOLOGY IN HEADWATERS, 1998, (248): : 259 - 265
  • [39] Coupling limited area models with distributed hydrological models for flood forecasting: the Toce basin case study
    Montaldo, N
    Toninelli, V
    Mancini, M
    Rosso, R
    FRIEND 2002-REGIONAL HYDROLOGY: BRIDGING THE GAP BETWEEN RESEARCH AND PRACTICE, 2002, (274): : 229 - 236
  • [40] Coupling Elements of a Framework for Cognitive Matchmaking with Enterprise Models
    Overbeek, Sietse
    ADVANCED INFORMATION SYSTEMS ENGINEERING WORKSHOPS, 2014, 178 : 182 - 193