05624nam 2200769 a 450 991087757580332120200520144314.01-280-84783-297866108478390-470-39491-90-470-61226-61-84704-620-7(CKB)1000000000688250(EBL)700766(OCoLC)769341544(SSID)ssj0000310019(PQKBManifestationID)11234447(PQKBTitleCode)TC0000310019(PQKBWorkID)10283546(PQKB)10881778(MiAaPQ)EBC700766(MiAaPQ)EBC275628(Au-PeEL)EBL275628(OCoLC)935261876(EXLCZ)99100000000068825020070327d2007 uy 0engur|n|---|||||txtccrSpatial interpolation for climate data the use of GIS in climatology and meterology /edited by Hartwig Dobesch, Pierre Dumolard, Izabela DyrasLondon ;Newport Beach, CA ISTE20071 online resource (304 p.)Geographical information systems seriesDescription based upon print version of record.1-905209-70-3 Includes bibliographical references and index.Spatial Interpolation for Climate Data; Table of Contents; Preface; Part 1. GIS to Manage and Distribute Climate Data; Chapter 1. GIS, Climatology and Meteorology; 1.1. GIS technology and spatial data (working group 1); 1.1.1. Introduction; 1.1.2. Weather and GIS; 1.1.3. Geographical data, environmental data and weather data; 1.1.4. A GIS approach to access weather data; 1.2. Data and metadata; 1.2.1. Introduction; 1.2.2. Important datasets; 1.2.3. Metadata; 1.2.4. Open Geospatial Consortium; 1.2.5. EU strategies for data handling and standards1.2.6. Meteorological datasets, important projects and programs1.2.7. Projects using Earth Observation satellites; 1.3. Interoperability; 1.3.1. Introduction; 1.3.2. Technology for service-oriented architectures; 1.3.3. Interoperability in GIS; 1.3.4. Open Geospatial Consortium foundation ideas; 1.3.5. Standardized geospatial Web services; 1.3.6. GIS and AS interoperability potential: data model and formats; 1.3.7. Atmospheric data model; 1.3.8. Support from GIS for atmospheric data formats; 1.4. Conclusions; 1.5. Bibliography; Chapter 2. SIGMA: A Web-based GIS for Environmental Applications2.1. Introduction2.2. CPTEC-INPE; 2.3. SIGMA; 2.3.1. Basic functions; 2.4. Impacts of weather conditions on the economy; 2.5. Severe Weather Observation System (SOS); 2.5.1. Tracking of convective clouds; 2.5.2. Risk of lightning occurrence; 2.6. SOS interface; 2.7. Conclusions; 2.8. Acknowledgements; 2.9. Bibliography; Chapter 3. Web Mapping: Different Solutions using GIS; 3.1. Introduction; 3.2. Examples of Web mapping based on the usage of GIS technology in offline mode; 3.3. Examples of Web mapping using GIS tools in online mode; 3.4. Conclusion; 3.5. BibliographyChapter 4. Comparison of Geostatistical and Meteorological Interpolation Methods (What is What?)4.1. Introduction; 4.2. Mathematical statistical model of spatial interpolation; 4.2.1. Statistical parameters; 4.2.2. Linear meteorological model for expected values; 4.2.3. Linear regression formula; 4.3. Geostatistical interpolation methods; 4.3.1. Ordinary kriging formula; 4.3.2. Universal kriging formula; 4.3.3. Modeling of unknown statistical parameters in geostatistics; 4.4. Meteorological interpolation; 4.4.1. Meteorological interpolation formula4.4.2. Possibility of modeling unknown statistical parameters in meteorology4.4.3. Difference between geostatistics and meteorology; 4.5. Software and connection of topics; 4.6. Example of the MISH application; 4.7. Bibliography; Chapter 5. Uncertainty from Spatial Sampling: A Case Study in the French Alps; 5.1. Introduction; 5.2. The sample as a whole; 5.3. Looking in detail where the sample is not representative; 5.4. Summarizing the sampling uncertainty; 5.4.1. 2D simplification; 5.4.2. 3D generalization; 5.4.3. Geographic homogenous sub-regions of the sample5.4.4. Interpolation of a climate parameterThis title gives an authoritative look at the use of Geographical Information Systems (GIS) in climatology and meterology. GIS provides a range of strategies, from traditional methods, such as those for hydromet database analysis and management, to new developing methods. As such, this book will provide a useful reference tool in this important aspect of climatology and meterology study.Geographical information systems series.ClimatologyData processingMeteorologyData processingGeospatial dataMathematical modelsGeographic information systemsSpatial data infrastructuresClimatologyData processing.MeteorologyData processing.Geospatial dataMathematical models.Geographic information systems.Spatial data infrastructures.551.60285Dobesch Hartwig912237Dumolard Pierre122244Dyras Izabela912238MiAaPQMiAaPQMiAaPQBOOK9910877575803321Spatial interpolation for climate data2042586UNINA