Comparison of IDW and Physically Based IDEW Method in Hydrological Modelling for a Large Mountainous Watershed, Northwest China

2017 ◽  
Vol 33 (6) ◽  
pp. 912-924 ◽  
Author(s):  
L. Zhang ◽  
C. He ◽  
J. Li ◽  
Y. Wang ◽  
Z. Wang
Keyword(s):  
Northwest China ◽  
Hydrological Modelling ◽  
Mountainous Watershed ◽  
Physically Based

Incorporating remote sensing data in physically based distributed agro-hydrological modelling

2004 ◽  
Vol 287 (1-4) ◽  
pp. 279-299 ◽  
Author(s):  
E Boegh ◽  
M Thorsen ◽  
M.B Butts ◽  
S Hansen ◽  
J.S Christiansen ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Hydrological Modelling ◽  
Sensing Data ◽  
Physically Based

scholarly journals Modelling of snow processes in catchment hydrology by means of downscaled WRF meteorological data fields

2014 ◽  
Vol 11 (4) ◽  
pp. 4063-4102
Author(s):  
K. Förster ◽  
G. Meon ◽  
U. Strasser
Keyword(s):  
Time Series ◽  
Meteorological Data ◽  
Forecast Model ◽  
Analysis Data ◽  
Hydrological Modelling ◽  
Catchment Scale ◽  
Meteorological Forcing ◽  
Physically Based ◽  
Complete Set ◽  
Flood Simulations

Abstract. Detailed physically based snowmelt models require a complete set of meteorological forcing data at the model's scale. Besides precipitation and temperature, time series of humidity, wind speed, and radiation have to be provided. The availability of these time series is in many cases restricted to a few meteorological stations and consequently, snowmelt modelling is often highly uncertain. To overcome this dilemma, the suitability of downscaled atmospheric analysis data for physically based snowmelt simulations in hydrological modelling is studied. We used the Weather Research and Forecast model (WRF) to derive spatial and temporal fields of meteorological surface variables as boundary conditions for four different snowmelt models. The simulations were carried out at the point scale and at the catchment scale for the Sieber catchment (44.4 km2), Harz Mountains, Germany. For the latter, all snowmelt models were integrated into the hydrological modelling system PANTA RHEI. All models performed well at both scales. In conclusion, the presented approach is suitable to derive reliable estimates of snowpack and snowmelt processes as part of water balance and flood simulations for catchments exposed to snow.

Comparison of SWAT and DLBRM for Hydrological Modeling of a Mountainous Watershed in Arid Northwest China

2016 ◽  
Vol 21 (5) ◽  
pp. 04016007 ◽  
Author(s):  
Lanhui Zhang ◽  
Xin Jin ◽  
Chansheng He ◽  
Baoqing Zhang ◽  
Xifeng Zhang ◽  
...  
Keyword(s):  
Hydrological Modeling ◽  
Northwest China ◽  
Mountainous Watershed ◽  
Arid Northwest China

scholarly journals Physically-based modelling, uncertainty, and pragmatism – Comment on: ‘Système Hydrologique Europeén (SHE): review and perspectives after 30 years development in distributed physically-based hydrological modelling’ by Jens Christian Refsgaard, Børge Storm and Thomas Clausen

2012 ◽  
Vol 43 (6) ◽  
pp. 945-947 ◽  
Author(s):  
John Ewen ◽  
Enda O'Connell ◽  
James Bathurst ◽  
Steve J. Birkinshaw ◽  
Chris Kilsby ◽  
...  
Keyword(s):  
Hydrological Modelling ◽  
Modelling Uncertainty ◽  
Distributed Modelling ◽  
Physically Based ◽  
Physically Based Modelling ◽  
Modelling System

The Système Hydrologique Europeén (SHE) modelling system and physically-based distributed modelling (PBDM) were discussed in Refsgaard et al.'s Système Hydrologique Europeén (SHE): review and perspectives after 30 years development in distributed physically-based hydrological modelling (Hydrology Research41, pp. 355–377). The opportunity is taken here to correct some oversights and potentially misleading perspectives in that paper and mount a more robust defence of PBDM.

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