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Board on Atmospheric Sciences and Climate & Board on Mathematical Sciences and Their Applications 
Uncertainty Management in Remote Sensing of Climate Data [PDF ebook] 
Summary of a Workshop

Apoio

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.

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Língua Inglês ● Formato PDF ● Páginas 63 ● ISBN 9780309139595 ● Editor Martha McConnell & Scott Weidman ● Editora National Academies Press ● Publicado 2009 ● Carregável 3 vezes ● Moeda EUR ● ID 7141345 ● Proteção contra cópia Adobe DRM
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