Implementation of a large‐scale variable velocity river flow routing algorithm in the Canadian Regional Climate Model (CRCM)

2003 ◽  
Vol 41 (2) ◽  
pp. 139-153 ◽  
Author(s):  
Philippe Lucas‐Picher ◽  
Vivek K. Arora ◽  
Daniel Caya ◽  
René Laprise
Keyword(s):  
Regional Climate Model ◽  
Large Scale ◽  
River Flow ◽  
Climate Model ◽  
Regional Climate ◽  
Routing Algorithm ◽  
Variable Velocity ◽  
Flow Routing ◽  
Canadian Regional Climate Model ◽  
Scale Variable

scholarly journals Development of a high resolution grid-based river flow model for use with regional climate model output

2007 ◽  
Vol 11 (1) ◽  
pp. 532-549 ◽  
Author(s):  
V. A. Bell ◽  
A. L. Kay ◽  
R. G. Jones ◽  
R. J. Moore
Keyword(s):  
High Resolution ◽  
Regional Climate Model ◽  
River Flow ◽  
Climate Model ◽  
Regional Climate ◽  
Flow Routing ◽  
The Uk ◽  
The Impact ◽  
Runoff Production ◽  
Grid Based

Abstract. A grid-based approach to river flow modelling has been developed for regional assessments of the impact of environmental change on hydrologically sensitive systems. The approach also provides a means of assessing, and providing feedback on, the hydrological performance of the land-surface component of a regional climate model (RCM). When combined with information on the evolution of climate, the model can give estimates of the impact of future climate change on river flows and flooding. The high-resolution flow routing and runoff-production model is designed for use with RCM-derived rainfall and potential evaporation (PE), although other sources of gridded rainfall and PE can be employed. Called the "Grid-to-Grid Model", or G2G, it can be configured on grids of different resolution and coverage (a 1 km grid over the UK is used here). The model can simulate flow on an area-wide basis as well as providing estimates of fluvial discharges for input to shelf-sea and ocean models. Configuration of the flow routing model on a relatively high resolution 1 km grid allows modelled river flows to be compared with gauged observations for a variety of catchments across the UK. Modelled flows are also compared with those obtained from a catchment-based model, a parameter-generalised form of the Probability-Distributed Model (PDM) developed for assessing flood frequency. Using RCM re-analysis rainfall and PE as input, the G2G model performs well compared with measured flows at a daily time-step, particularly for high relief catchments. It performs less well for low-relief and groundwater-dominated regions because the dominant model control on runoff production is topography.

scholarly journals Brief Communication: An update of the article "Modeling flood damages under climate change conditions – a case study for Germany"

2015 ◽  
Vol 3 (12) ◽  
pp. 7231-7245
Author(s):  
F. F. Hattermann ◽  
S. Huang ◽  
O. Burghoff ◽  
P. Hoffmann ◽  
Z. W. Kundzewicz
Keyword(s):  
Climate Change ◽  
Regional Climate Model ◽  
Large Scale ◽  
Considerable Increase ◽  
Climate Model ◽  
Global Climate ◽  
Global Climate Model ◽  
Regional Climate ◽  
Flood Damages

Abstract. In our first study on possible flood damages under climate change in Germany, we reported that a considerable increase in flood related losses can be expected in future, warmer, climate. However, the general significance of the study was limited by the fact that outcome of only one Global Climate Model (GCM) was used as large scale climate driver, while many studies report that GCM models are often the largest source of uncertainty in impact modeling. Here we show that a much broader set of global and regional climate model combinations as climate driver shows trends which are in line with the original results and even give a stronger increase of damages.

Sign in / Sign up

Export Citation Format

Share Document