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220907s2023 ne fob 001 0 eng d |
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|a UKAHL
|b eng
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|a QC982
|b .D66 2023
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|a 551.6
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|a Domonkos, P�eter,
|e author.
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|a Climate observations :
|b data quality control and time series homogenization /
|c Peter Domonkos, R�obert T�oth, L�aszl�o Nyitrai.
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|a Amsterdam ;
|a Cambridge, MA :
|b Elsevier,
|c [2023]
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| 300 |
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|a 1 online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Developments in weather and climate science
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|a Includes bibliographical references and index.
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|a 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
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|a 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
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|a 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
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|a 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
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|a 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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| 588 |
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|a Description based on online resource; title from digital title page (viewed on February 14, 2023).
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| 650 |
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|a Climatology
|x Observations.
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| 650 |
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|a Climatology
|x Statistical methods.
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| 650 |
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7 |
|a Climatology
|2 fast
|0 (OCoLC)fst00864281
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| 650 |
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7 |
|a Climatology
|x Statistical methods
|2 fast
|0 (OCoLC)fst00864308
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| 655 |
|
7 |
|a Observations
|2 fast
|0 (OCoLC)fst01423822
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| 700 |
1 |
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|a T�oth, R�obert,
|e author.
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| 700 |
1 |
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|a Nyitrai, L�aszl�o,
|e author.
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| 776 |
0 |
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|i Print version :
|z 9780323904872
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| 856 |
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|u https://sciencedirect.uam.elogim.com/science/book/9780323904872
|z Texto completo
|
