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Climate observations : data quality control and time series homogenization / Peter Domonkos, Róbert Tóth, László Nyitrai

Author
Domonkos, Péter
Published
Amsterdam ; Cambridge, MA : Elsevier, [2023]
Physical Description
1 online resource
Additional Creators
Tóth, Róbert and Nyitrai, László
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Contents
Intro -- Climate Observations: Data Quality Control and Time Series Homogenization -- Copyright -- Contents -- About the authors -- Introduction -- Chapter 1: Land surface observations -- 1.1. Global system of weather and climate observations -- 1.2. Site selection and installation of instruments -- 1.3. Manual and automated observations -- 1.4. Temperature -- 1.5. Humidity -- 1.6. Precipitation -- 1.7. Wind direction and wind speed -- 1.8. Atmospheric pressure -- 1.9. Sunshine duration and radiation -- 1.10. Cloudiness -- 1.11. Other climate variables, 1.12. Calibration of instruments and maintenance -- References -- Chapter 2: Upper air observation and remote sensing -- 2.1. Upper air observations: Climatic characteristics and tools for their observation -- 2.2. Radiosondes I. Technology and performance of observations -- 2.3. Radiosondes II. Spatial and temporal density of observations -- 2.4. Remote sensing -- 2.5. Weather radars -- 2.6. Satellites in the observation of weather and climate -- 2.7. Space-based observations -- 2.8. Other upper air observations -- 2.9. Closing notes to Chapter 1 and this chapter -- References, Chapter 3: Data quality control and dataset development -- 3.1. Error sources -- 3.2. Kinds and indications of data errors -- 3.3. Phases of quality control -- 3.4. Elimination of data errors -- 3.5. Quality control of extreme values -- 3.6. Data rescue and digitation -- 3.7. Data gaps and gap filling -- 3.8. Data gridding -- 3.9. Dataset development -- References -- Chapter 4: Homogenization task and its principal approaches -- 4.1. Time series homogenization in the system of scientific fields -- 4.2. Basic concepts of time series homogenization -- 4.3. Kinds of inhomogeneities, 4.4. Kinds of homogenization tasks -- 4.5. Spatial representativeness of homogenized climatic data -- 4.6. Relation with general quality control -- 4.7. Use of documented information (metadata) -- 4.8. Homogeneity test -- 4.9. Homogenization without neighbor series -- References -- Chapter 5: Relative homogenization: The basis -- 5.1. Concept of relative homogenization -- 5.2. Traditional approach -- 5.3. Revolution of methodology from the 1990s -- 5.4. Time series comparison -- 5.5. Detection of trend inhomogeneities -- 5.6. Detection of multiple break points, and 5.7. Correction of inhomogeneities -- References -- Chapter 6: Relative homogenization: Optional tools -- 6.1. Multistep procedures -- 6.2. Iteration -- 6.3. Parameterization -- 6.4. Relative time series of daily resolution -- 6.5. Ensemble homogenization -- 6.6. Transformation of probability distribution -- 6.7. Infilling data gaps within homogenization procedures -- 6.8. Pairwise detection in automatic homogenization -- 6.9. Multivariate detection -- 6.10. Combination of homogenization methods -- References -- Chapter 7: Relative homogenization: Special problems -- 7.1. Signal-to-noise ratio
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Genre(s)
ISBN
9780323904889 (electronic book)
0323904882 (electronic book)
9780323904872 (print)
0323904874
Bibliography Note
Includes bibliographical references and index.
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