Evaluation of an artificial neural network rainfall disaggregation model

Water Science and Technology

Volumn 45, Issue 2, 2002, Pages 99-104

  Burian, S J ^a   Durrans, S R ^a  

^a University of Arkansas   (United States)

Author keywords

Artificial neural networks; Rainfall disaggregation

Indexed keywords

DISCHARGE (FLUID MECHANICS); HYDROGRAPHIC SURVEYS; NEURAL NETWORKS; RAIN; WATERSHEDS;

DISAGGREGATION MODEL; RAINFALL HYETOGRAPHS;

METEOROLOGY;

RAIN; STORM WATER;

ARTIFICIAL NEURAL NETWORK; HYDROGRAPH; MODEL VALIDATION; RAINFALL;

ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; CONFERENCE PAPER; ENVIRONMENTAL MONITORING; GEOMETRY; HYDROGRAPHY; MATHEMATICAL MODEL; PREDICTION; SURFACE WATER HYDROLOGY; WATERSHED; WEATHER;

EID: 0036187884     PISSN: 02731223     EISSN: None     Source Type: Journal    
DOI: 10.2166/wst.2002.0033     Document Type: Conference Paper

References (19)

1. The influence of storm temporal pattern on catchment response
2. Rainfall disaggregation using artificial neural networks
3. Training artificial neural networks to perform rainfall disaggregation
4. A daily rainfall disaggregation model
5. Polynomial-based disaggregation of hourly rainfall for continuous hydrologic simulation
6. Impact of small-scale spatial rainfall variability on runoff modeling
7. Disaggregation of daily rainfall by conditional simulation from a point-process model
8. Measurements and analysis of small-scale convective storm rainfall variability
9. Disaggregation of daily rainfall
10. Continuous modeling essential for detention design
11. Response of Green-Ampt Mein-Larsen simulated runoff volumes to temporally aggregated precipitation
12. Rainfall disaggregation model for continuous hydrologic modeling
13. Model for multiscale disaggregation of spatial rainfall based on coupling meteorological and scaling descriptions
14. Sequential generation of short time-interval rainfall data
15. A space-time downscaling model for rainfall