Consistency analysis of pluviometric information in Galicia (NW Spain) |
| |
| Institution: | 1. Embrapa Agricultural Instrumentation, São Carlos, SP, Brazil;2. Institute of Chemistry of São Carlos, University of São Paulo, São Carlos, SP, Brazil;3. Laboratoire PROTEE, EA3819, Université de Toulon, CS 60584, 83041 Toulon CEDEX 9, France;4. Centro de Energia Nuclear na Agricultura and NUPEGEL, University of São Paulo, Piracicaba, SP, Brazil;1. Masaryk University, Brno Epilepsy Center, St. Anne''s Hospital and School of Medicine and Central European Institute of Technology (CEITEC), Brno, Czech Republic;2. Consortia for Improving Medicine with Innovation and Technology, Harvard Medical School, Boston, MA, USA;3. Comprehensive Epilepsy Center, Division of Neurology, Cincinnati Children''s Hospital Medical Center, Cincinnati, OH, USA;4. Department of Neurology, Hadassah Hebrew University Medical Center, Jerusalem, Israel;5. The Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel;6. Academic Center for Epileptology, Kempenhaeghe & Maastricht UMC, Sterkselseweg 65, 5591 VE Heeze, The Netherlands;7. Epilepsy Unit, Western Infirmary, Glasgow, Scotland, UK;8. Neuropsychology Unit, Department of Neurology, University Hospital Zürich, Zurich, Switzerland;9. Departments of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA;10. Russian National Research Medical University, Moscow Research and Clinical Center for Neuropsychiatry, Moscow, Russia;11. Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA;12. Gertrude H. Sergievsky Center and Department of Epidemiology, Columbia University, NY, USA;13. Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Canada;14. Department of Neurology, University of Miami, Miller School of Medicine, Miami, FL, USA;p. Institute of Physiology, Academy of Sciences of the Czech Republic, Prague, Czech Republic;q. Epilepsy Group, Atkinson Morley Regional Neuroscience Centre, St George''s Hospital & Institute of Medical and Biomedical Sciences, St George''s University of London, London, UK;r. EEG and Epilepsy Unit, Department of Neurology, Tel-Aviv Medical Center, Tel-Aviv University, Tel-Aviv, Israel;s. Minnesota Epilepsy Group, St. Paul, MN, USA;t. Department of Clinical Neurosciences, CHUV, Lausanne, Switzerland;u. TIGER, Lyon''s Neuroscience Research Center, INSERM U1028, CNRS5292 Lyon, France;v. Neurology Service, Hòpitaux Universitaires de Genève, Genève, Switzerland;w. Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden;x. Sackler School of Medicine, Tel-Aviv University, Ramat-Aviv, Israel |
| |
| Abstract: | An important issue in pluviometric data analysis from rain gauges is the verification of their consistency. In general, this attribute is assessed using double-mass curves. This technique compares cumulative monthly rainfall from a gauge with that averaged from meteorological stations located nearby. The aim of this study was to analyze the quality of monthly rainfall data registered in Galicia (NW Spain) in a five year period (2002–2006). Initially, 159 meteorological stations were evaluated; however, 59 gauges were withdrawn because 10% of their data were missing. Double-mass analysis was performed following two procedures: a) data from each gauge were compared to those obtained in the nearby main station and b) data from each site were compared to the average from five nearby gauges, including data from neighboring regions. The second procedure proved to be more reliable. Rainfall data did not show any outlier for the study period. Determination coefficients were greater than 0.95 in all cases. A graphical analysis showed some deviations from the trend lines in certain stations. First, rainfall maps were obtained by inverse distances weighting. Furthermore, a comprehensive geostatistical analysis, centered in the characterization of the structure of rainfall spatial variability, was performed. Differences between two kriging methods, ordinary and kriging with an external drift, were confirmed, considering the later as a more appropriate technique for rainfall interpolation in the region. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
