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Uncertainty Management in Remote Sensing of Climate Data : Summary of a Workshop

By: (Author) Board on Atmospheric Sciences and Climate , (Author) Board on Mathematical Sciences and Their Applications , (Author) Climate Research Committee , (Author) Committee on Applied and Theoretical Statistics , (Author) Committee on Earth Studies , (Author) Division on Earth and Life Studies , (Author) Division on Engineering and Physical Sciences , (Author) National Research Council , (Author) Space Studies Board , (Edited by) Scott Weidman

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Format: Paperback / Softback

ISBN-10: 0309139589

ISBN-13: 9780309139588

Publisher: National Academies Press

Imprint: National Academies Press

Country of Manufacture: US

Country of Publication: GB

Publication Date: Oct 1st, 2009

Print length: 63 Pages

Weight: 126 grams

Dimensions (height x width x thickness): 22.00 x 15.10 x 0.40 cms

Product Classification: Meteorology & climatology
Climate change

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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 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. Table of ContentsFront Matter1 Introduction2 Cross-Cutting Issues3 Concluding ThoughtsReferencesAppendix A: Workshop AgendaAppendix B: Summaries of Workshop PresentationsAppendix C: Planning Committee andRapporteur Biographies

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