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Uncertainty Management in Remote Sensing of Climate Data - Summary of a Workshop (Paperback)
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Uncertainty Management in Remote Sensing of Climate Data - Summary of a Workshop (Paperback)
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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 Contents Front
Matter 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
General
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