Weather Radar Information and Distributed Hydrological Modelling
Edited by Yasuto Tachikawa, Baxter E. Vieux, Konstantine P. Georgakakos & Eiichi Nakakita
IAHS Publ. 282 (2003) ISBN 1-901502-37-6; 324 + xii, £55.40
The
combined use of radar hydrology with distributed hydrological modelling creates
powerful numerical tools for forecasting storms, floods and related natural
disasters. Such tools, when used with historical observations, can also
contribute rich information for water resources assessment. Considerable
attention has been focused on these developments. However, fundamental issues
of model development associated with the existence of uncertainties or errors
in radar rainfall estimation and prediction, and in distributed model
parameters, still remain unresolved. Clarification as to how hydrological
prediction accuracy will be improved is essential. Scale issues also need
further study. Suitable model resolution and required forcing resolution might
be a function of catchment scale, but the relationship between them is still
unknown. In association with the scale issues, assessing in what environment a
distributed model shows better performance than a lumped model, is also an
important research topic.
This proceedings volume contains 42 papers presented at an international symposium
(Symposium HS03) held during IUGG 2003, the XXIII General Assembly of the
International Union of Geodesy and Geophysics, at Sapporo, Japan, 30 June-11 July 2003.
- Yasuto Tachikawa, Baxter E. Vieux, Konstantine P. Georgakakos & Eiichi Nakakita
Preface, v-vi
- Weather Radar Information for Hydrological Prediction
- S. Chumchean,A. Seed & A. Sharma
Effect of radar beam geometry on radar rainfall estimation, 3-10
- P. Jordan, A. Seed, P. May & T. Keenan
Evaluation of dual polarization radar for rainfall-runoff modelling: a case study in Sydney, Australia, 11-18
- T. Kinosita & M. Irisawa
Radar raingauge with volume scanning function, 19-23
- T. Matsuura, K. Fukami & J. Yoshitani
Evaluation of the applicability of radar rainfall information to operational hydrology, 24-29
- S. Ali Awan
Weather radar distributed hydrological modelling: a case study in the Indus Basin, 30-34
- S. R. Fassnacht,E. D. Soulis & N. Kouwen
Radar precipitation for winter hydrological modelling, 35-42
- Y. Suzuki, E. Nakakita & S. Ikebuchi
Numerical study of rainfall–topography relationships in mountainous regions of Japan using a mesoscale meteorological model, 43-50
- S. Sugimoto & H. Hirakuchi
Simulation of precipitation caused by a Baiu front: an evaluation study with radar data, 51-58
- G. J. M. De Lannoy, I. L. M. De Jongh, N. E. C. Verhoest & F. P. De Troch
Rainstorm characteristics in temperate areas derived from multiple time series of weather radar images, 59-65
- Y. Tachikawa, Y. Komatsu, K. Takara & M. Shiiba
Stochastic modelling of the error structure of real-time predicted rainfall and rainfall field generation, 66-73
- A. Pathirana, S. Herath & T. Yamada
On the modelling of temporal correlations in spatial-cascade rainfall downscaling, 74-82
- Assessment of Uncertainty in Distributed Hydrological Modelling
- K. P. Georgakakos & T. M. Carpenter
A methodology for assessing the utility of distributed model forecast applications in an operational environment, 85-92
- S. Maskey, V. Guinot & R. K. Price
Propagation of precipitation uncertainty through a flood forecasting model, 93-100
- V. Koren, S. Reed, M. Smith & Z. Zhang
Combining physically based and conceptual approaches in the development and parameterization of a distributed system, 101-108
- D.-J. Seo,V. Koren & S. Reed
Improving a priori estimates of hydraulic parameters in a distributed routing model via variational assimilation of long-term streamflow data, 109-113
- T. M. Carpenter & K. P. Georgakakos
Distributed model flow sensitivity to uncertainty in radar-rainfall input, 114-120
- Y. Jia, T. Kinouchi & J. Yoshitani
Distributed hydrological modelling in the Yata watershed using the WEP model and propagation of rainfall estimation error, 121-129
- J. J. Gourley & B. E. Vieux
The effects of radar-derived rainfall uncertainties on forecasts from a distributed hydrological model, 130-137
- D.-J. Seo, V. Koren &N. Cajina
Real-time assimilation of radar-based precipitation data and streamflow observations into a distributed hydrological model, 138-142
- M. Lu & N. Hayakawa
Impact of online calibration of radar-measured rainfall in hydrological forecasting using a distributed hydrological model, 143-151
- T. Hamaguchi
A new composite approach of physical and geostatistical aspects to groundwater modelling, 152-158
- Assessment of Performance in Distributed Hydrological Modelling
- B. E. Vieux &F. G. Moreda
Distributed hydrological modelling: what accuracy is achievable ?, 161-168
- R. K. Shrestha, Y. Tachikawa & K. Takara
Model behaviour of distributed hydrological modelling with different forcing data resolutions, 169-176
- E. Morin,K. P. Georgakakos, U. Shamir, R. Garti & Y. Enzel
Investigating the effect of catchment characteristics on the response time scale using distributed model and weather radar information, 177-185
- H. Ishidaira, K. Takeuchi, Z. Xu, T. Ao, J. Magome & M. Kudo
Effect of spatial and temporal resolution of precipitation data on the accuracy of the long-term runoff simulation, 186-193
- D. Yang, T. Koike & H. Tanizawa
Effect of precipitation spatial distribution on the hydrological response in the upper Tone River of Japan, 194-202
- S. J. Kim, H. J. Kwon, I. K. Jung & G. A. Park
Grid-based dam inflow prediction on a large river basin using Thiessen polygon and spatially-distributed rainfall data, 203-209
- L. Ren, C. Li & M. Wang
Application of radar-measured rain data in hydrological processes modelling during the intensified observation period of HUBEX, 210-217
- H. A. P. Hapuarachchi, L. Zhijia & F. A. Wolfgang
Application of models with different types of modelling methodologies for river flow forecasting, 218-226
- T. Ao, J. Yoshitani, K. Takeuchi, K. Fukami, T. Mutsuura & H. Ishidaira
Effects of sub-basin scale on runoff simulation in distributed hydrological model: BTOPMC, 227-233
- T. Kojima & K. Takara
A grid-cell based distributed flood runoff model and its performance, 234-240
- T. A. Kimaro, Y. Tachikawa & K. Takara
Evaluating land use change effects on flood peaks using a distributed rainfall-runoff model in Yasu River, Japan, 241-248
- Application of Distributed Hydrological Models in Watershed Management
- B. E. Vieux, J. E. Vieux, C. Chen & K. W. Howard
Operational deployment of a physics-based distributed rainfall–runoff model for flood forecasting in Taiwan, 251-257
- O. Kalinga, T. Y. Gan & J. C. Xie
Applying radar rainfall data in basin hydrological modelling, 258-267
- X. Jun, W. Gangsheng & T. Ge
A distributed hydrological model applied to Heihe mountainous basin in western China, 268-274
- Y. Ichikawa, K. Nakagawa, K. Fujiwara, M. Shiiba & S. Ikebuchi
Development of distributed red soil runoff model using radar data, 275-281
- Y. Chen, J. Hu & J. Yu
A flash flood forecast model for the Three Gorges basin using GIS and remote sensing data, 282-287
- N. R. Pradhan & R. Jha
Performance assessment of the BTOPMC model in a Nepalese drainage basin, 288-293
- S.-F. Mousavi & N. Kouwen
Coupling of MODFLOW and WATFLOOD in hydrological modelling of a small watershed, 294-300
- X. Mo, S. Liu, Z. Lin & W. Zhao
Prediction of evapotranspiration and streamflow with a distributed model over the large Wuding River basin, 301-307
- S. Sun & H. Deng
A catchment surface runoff simulation for land surface model study, 308-314
- S. Liu, L. Leslie, M. Speer, R. Bunker & R. Morison
Approaching realistic soil moisture status with an improved mesoscale numerical weather prediction model, 315-320
Key word index, 321-323