Quality control of daily rainfall data with neural networks
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Identification
| Title: | Main Title: Quality control of daily rainfall data with neural networks |
| Description: | Abstract: A procedure for quality control of daily rainfall, designed to automatically detect erroneous data to be submitted for further manual controls, is herein described. Quality control of daily rainfall data is based on confidence intervals derived by means of neural networks on the basis of contemporaneous data observed at reference stations, since the presence of zero values in the series and the strong variability of precipitation at daily time scale do not allow reliable confidence intervals to be estimated from historical data from the same station. Application of the proposed procedure to automatic stations in Sicily (Italy), enables validation of more than 80% of the data. The accuracy of the procedures is verified by introducing known errors into the available datasets, supposed as correct, and by computing the probabilities of correctly classifying data as validated or not validated. |
| Identifier: | 10.1016/j.jhydrol.2008.10.008 (DOI) |
Responsible Party
| Creators: | Guido Sciuto (Author), Brunella Bonaccorso (Author), Antonino Cancelliere (Author), Giuseppe Rossi (Author) |
| Publisher: | Elsevier B.V |
| Publication Year: | 2013 |
Topic
| TR32 Topic: | Atmosphere |
| Related Subproject: | C1 |
| Subjects: | Keywords: Rainfall Data, Quality Control, Neural Networks |
File Details
| Filename: | 2009_Scuito_JoH.pdf |
| Data Type: | Text - Article |
| Size: | 10 Pages |
| File Size: | 834 KB |
| Date: | Accepted: 09.10.2008 |
| Mime Type: | application/pdf |
| Data Format: | |
| Language: | English |
| Status: | Completed |
Constraints
| Download Permission: | Only Project Members |
| General Access and Use Conditions: | For internal use only |
| Access Limitations: | For internal use only |
| Licence: | [TR32DB] Data policy agreement |
Geographic
Specific Information - Publication
| Publication Status: | Published |
| Review Status: | Peer reviewed |
| Publication Type: | Article |
| Article Type: | Journal |
| Source: | Journal of Hydrology |
| Source Website: | www.elsevier.com/locate/jhydrol |
| Volume: | 364 |
| Number of Pages: | 10 (13 - 22) |
Metadata Details
| Metadata Creator: | Guido Sciuto |
| Metadata Created: | 02.12.2013 |
| Metadata Last Updated: | 02.12.2013 |
| Subproject: | C1 |
| Funding Phase: | 1 |
| Metadata Language: | English |
| Metadata Version: | V50 |
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Dataset Statistics
| Page Visits: | 711 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 0 |
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