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  • 1
    Monograph available for loan
    Monograph available for loan
    Berlin [u.a.]: Springer
    Associated volumes
    Call number: 10/M 93.0092/4
    In: Minerals, rocks and inorganic materials
    Type of Medium: Monograph available for loan
    Pages: XIV, 297 S.
    Series Statement: Minerals, rocks and inorganic materials 4
    Language: English
    Location: Upper compact magazine
    Branch Library: GFZ Library
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  • 2
    Monograph available for loan
    Monograph available for loan
    New Haven : Yale University Press
    Call number: PIK M 030 21-94662
    Type of Medium: Monograph available for loan
    Pages: 572 Seiten , Illustrationen
    ISBN: 9780300251685
    Language: English
    Branch Library: PIK Library
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  • 3
    Call number: PIK N 079 21-94664
    Type of Medium: Monograph available for loan
    Pages: 1 Online-Ressource (xxii, 745 Seiten) , Illustrationen, Diagramme
    Edition: Second edition
    ISBN: 9780387848570
    Language: English
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  • 4
    Monograph available for loan
    Monograph available for loan
    Sebastopol, CA : O'Reilly Media, Inc.
    Call number: PIK M 032 21-94663
    Description / Table of Contents: Array Indexing: Accessing Single ElementsArray Slicing: Accessing Subarrays; Reshaping of Arrays; Array Concatenation and Splitting; Computation on NumPy Arrays: Universal Functions; The Slowness of Loops; Introducing UFuncs; Exploring NumPy's UFuncs; Advanced Ufunc Features; Ufuncs: Learning More; Aggregations: Min, Max, and Everything in Between; Summing the Values in an Array; Minimum and Maximum; Example: What Is the Average Height of US Presidents?; Computation on Arrays: Broadcasting; Introducing Broadcasting; Rules of Broadcasting; Broadcasting in Practice
    Type of Medium: Monograph available for loan
    Pages: 529 Seiten , Illustrationen
    Edition: First edition
    ISBN: 9781491912133
    Language: English
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  • 5
    Unknown
    Boca Raton : Chapman and Hall/CRC Press
    Call number: im Bestellvorgang
    Description / Table of Contents: "The Effect: An Introduction to Research Design and Causality is about research design, specifically concerning research that uses observational data to make a causal inference. It is separated into two halves, each with different approaches to that subject. The first half goes through the concepts of causality, with very little in the way of estimation. It introduces the concept of identification thoroughly and clearly and discusses it as a process of trying to isolate variation that has a causal interpretation. Subjects include heavy emphasis on data-generating processes and causal diagrams. Concepts are demonstrated with a heavy emphasis on graphical intuition and the question of what we do to data. When we "add a control variable" what does that actually do?"--
    Pages: pages cm
    ISBN: 9781032125787 , 9781032127453
    Language: English
    Branch Library: GFZ Library
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  • 6
    Call number: S 00.0063(95)
    Type of Medium: Series available for loan
    Pages: 244 Seiten , Illustrationen, Karten, Diagramme
    ISBN: 9783510492442
    Series Statement: Schriftenreihe der Deutschen Gesellschaft für Geowissenschaften Heft 95
    Language: German , English
    Note: Beiträge teilweise in deutscher, teilweise in englischer Sprache
    Location: Lower compact magazine
    Branch Library: GFZ Library
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  • 7
    Dissertations
    Dissertations
    Stockholm : Department of Meteorology, Stockholm University
    Call number: AWI A4-21-94661
    Description / Table of Contents: The Arctic sea-ice cover plays an important role for the global climate system. Sea ice and the overlying snow cover reflect up to eight times more of the solar radiation than the underlying ocean. Hence, they are important for the global energy budget, and changes in the sea-ice cover can have a large impact on the Arctic climate and beyond. In the past 36 years the ice cover reduced significantly. The largest decline is observed in September, with a rate of more than 12% per decade. The negative trend is accompanied by large inter-annual sea-ice variability: in September the sea-ice extent varies by up to 27% between years. The processes controlling the large variability are not well understood. In this thesis the atmospheric contribution to the inter-annual sea-ice variability is explored. The focus is specifically on the thermodynamical effects: processes that are associated with a temperature change of the ice cover and sea-ice melt. Atmospheric reanalysis data are used to identify key processes, while experiments with a state-of-the-art climate model are conducted to understand their relevance throughout different seasons. It is found that in years with a very low September sea-ice extent more heat and moisture is transported in spring into the area that shows the largest ice variability. The increased transport is often associated with similar atmospheric circulation patterns. Increased heat and moisture over the Arctic result in positive anomalies of water vapor and clouds. These alter the amount of downward radiation at the surface: positive cloud anomalies allow for more longwave radiation and less shortwave radiation. In spring, when the solar inclination is small, positive cloud anomalies result in an increased surface warming and an earlier seasonal melt onset. This reduces the ice cover early in the season and allows for an increased absorption of solar radiation by the surface during summer, which further accelerates the ice melt. The modeling experiments indicate that cloud anomalies of similar magnitude during other seasons than spring would likely not result in below-average September sea ice. Based on these results a simple statistical sea-ice prediction model is designed, that only takes into account the downward longwave radiation anomalies or variables associated with it. Predictive skills are similar to those of more complex models, emphasizing the importance of the spring atmosphere for the annual sea-ice evolution.
    Type of Medium: Dissertations
    ISBN: 978-91-7649-228-4
    Language: English
    Note: Contents Abstract Zusammenfassung Sammanfattning List of Papers Author’s contribution 1 Introduction 2 Sea ice as part of the global climate system 2.1 The global climate system 2.2 Sea-ice characteristics 3 Methodology 3.1 Atmospheric reanalyses 3.2 Global climate models 4 Changes of the sea-ice cover 4.1 Long-term changes of the sea-ice cover 4.2 Inter-annual sea-ice variability 5 Conclusions and Outlook Acknowledgements References
    Location: AWI Reading room
    Branch Library: AWI Library
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  • 8
    Call number: AWI G8-21-94666
    Description / Table of Contents: Anthropogenic climate change constitutes one of the main global crises in the 21st century. It manifests itself distinctly in global warming and its effects. Forests play an essential role in mitigating the effects of climate change, improving our knowledge of the distribution and changes of terrestrial carbon stocks is vital to mitigate its consequences. Therefore, remote sensing is recommended as one of the tools to ensure systematic and operational forest monitoring. Forests in the Russian Federation are of particular importance as it is the most forested country in the world and at the same time, it is the country with the highest uncertainty when calculating global carbon stocks. Remote sensing is recommended as one of the tools to ensure systematic and operational forest monitoring. It can acquire data over large areas with a high repetition rate and at a relatively low cost. In particular, microwave sensors are recommended as they can provide weather and sun independent, systematic observations with high temporal frequency. The main goal of this cumulative dissertation was to develop methods using new algorithms for estimating parameters for boreal forests from remote sensing data acquired with Synthetic Aperture Radar (SAR). Using the SAR data acquired by the sensor with the longest wavelength available at the moment of writing this dissertation in space, the L-band, methods for estimating the above-ground forest biomass were developed. For this purpose, algorithms for machine learning (ML) were applied and validated. These methods were chosen because they are recommended for large data sets and an incomplete theoretical understanding of processes, e.g., the interaction between the forest and the radar signal, and are relatively new in forest monitoring studies. In addition, efforts have been made to establish improved mapping of large-scale forest cover change
    Type of Medium: Dissertations
    Pages: 234 Seiten , Illustrationen, Diagramme
    Language: English , German
    Note: Content ACKNOWLEDGEMENTS APPENDED PAPERS RELATED PUBLICATIONS FIGURES TABLES I ABBREVIATIONS AND SYMBOLS ABSTRACT ZUSAMMENFASSUNG CHAPTER 1 Introduction 1.1 Importance of forest monitoring 1.2 Remote sensing for forest monitoring 1.3 Scope and structure of this thesis CHAPTER 2 2 Theoretical background & state-of-the-art 2.1 Boreal forests 2.2 Imaging radar theory 2.2.1 Radar principles 2.2.2 Radar scattering 2.2.3 SAR data processing 2.2.4 SAR lnterferometry 2.3 Radar remote sensing of boreal forests 2.3.1 Estimation of aboveground biomass 2.3.2 Monitoring of forest change 2.4 Study area and data 2.4.1 Location of study areas 2.4.2 Processing of in situ data 2.4.3 SAR L-band data: PALSAR & PALSAR-2 2.4.4 SAR C-band data: RADARSAT-2 CHAPTER 3 3 Research rationale 3.1 Research needs 3.2 Research questions CHAPTER 4 4 Research contribution 4.1 Operational forest monitoring in Siberia 4.2 Remote sensing for aboveground biomass estimation in boreal forests 4.3 Non-parametric retrieval of aboveground biomass 4.4 Multi-frequency SAR for estimation of aboveground biomass CHAPTER 5 5 Synthesis 5.1 Discussion and conclusions 5.2 Outlook REFERENCES APPENDIX A: PROCEEDINGS PAPER APPENDIX B: STUDIES ON nI0MASS ESTIMATION IN Il0REAL FORESTS MANUSCRIPT OVERVIEW STATEMENT OF AUTH0RSHIP CURRICULUM VITAE , Zusammenfassungen in deutscher und englischer Sprache
    Location: AWI Reading room
    Branch Library: AWI Library
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  • 9
    Monograph available for loan
    Monograph available for loan
    Cambridge : Cambridge University Press
    Call number: PIK B 160-98-0187 ; PIK B 160-98-0187/2. Ex.
    Type of Medium: Monograph available for loan
    Pages: 234 p.
    Edition: 1. ed.
    ISBN: 0521587492
    Branch Library: PIK Library
    Branch Library: PIK Library
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  • 10
    Monograph available for loan
    Monograph available for loan
    London : Earthscan
    Call number: B 160-06-0293 ; PIK B 160-06-0293
    Type of Medium: Monograph available for loan
    Pages: XIV, 225 S.
    ISBN: 1853835641 , 1-85383-563-3
    Branch Library: PIK Library
    Branch Library: PIK Library
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