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[null,"1.","Record Nr.",null,"UNINA9910964565103321"]
[null,null,"Autore",null,"McConnell Martha Clarke"]
[null,null,"Titolo",null,"Uncertainty management in remote sensing of climate data : summary of a workshop / / Martha McConnell and Scott Weidman, rapporteurs"]
[null,null,"Pubbl/distr/stampa",null,"Washington, D.C., : National Academies Press, 2009"]
[null,null,"ISBN",null,"0-309-14475-2"]
[{"$nulls":4},"0-309-13959-7"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (63 p.)"]
[null,null,"Disciplina",null,"363.73874"]
[null,null,"Soggetti",null,"Satellite meteorology - United States - Data processing"]
[{"$nulls":4},"Climatic changes - United States - Remote sensing - Data processing"]
[{"$nulls":4},"Climatic changes - United States - Data processing - Management"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","\"Board on Atmospheric Sciences and Climate, Climate Research Committee, Board on Mathematical Sciences and Their Applications, Committee on Applied and Theoretical Statistics, Space Studies Board, Committee on Earth Studies, Division on Earth and Life Studies, Division on Engineering and Physical Sciences, National Research Council.\""]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Intro -- Preface -- Acknowledgments -- Contents -- 1 Introduction -- 2 Cross-Cutting Issues -- 3 Concluding Thoughts -- References -- Appendix A: Workshop Agenda -- Appendix B: Summaries of Workshop Presentations -- Appendix C: Planning Committee andRapporteur Biographies."]
[null,null,null,"Sommario/riassunto","Great advances have been made in our understanding of the climate system over the past few decades, and remotely sensed data have played a key role in supporting many of these advances. Improvements in satellites and in computational and data-handling techniques have yielded high quality, readily accessible data. However, rapid increases in data volume have also led to large and complex datasets that pose significant challenges in data analysis. Uncertainty characterization is needed for every satellite mission and scientists continue to be challenged by the need to reduce the uncertainty in remotely sensed climate records and projections. The approaches currently used to quantify the uncertainty in remotely sensed data lack an overall mathematically based framework. An additional challenge is characterizing uncertainty in ways that are useful to a broad spectrum of end-users.  In December 2008, the National Academies held a "]
[{"$nulls":4},"workshop, summarized in this volume, to survey how statisticians, climate scientists, and remote sensing experts might address the challenges of uncertainty management in remote sensing of climate data. The workshop emphasized raising and discussing issues that could be studied more intently by individual researchers or teams of researchers, and setting the stage for possible future collaborative activities."]