This event is part of Confronting Global Climate Change View Details

Remote Sensing for Climate Analysis

Description

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Remote sensing plays a critical role in many aspects of climate science, including real-time and long-term monitoring, forecast initialization, model verification, and statistical analysis. Remote sensing records now span multiple decades and provide information on multiple processes in the climate system. The ever-changing Earth-observing satellite constellation and the development and deployment of new remote sensing capabilities, including NASA’s planned Earth System Observatory and ESA’s Sentinel missions, present a timely opportunity to make advances in these areas, motivating the development of new techniques to analyze and assimilate large volumes of data with high spatial and temporal resolution. This workshop will bring together researchers from the remote sensing, data analysis, and climate science communities to explore applications of current- and next-generation remote sensing products and data analysis techniques to climate analysis and modeling.

Organizers

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D G
Dimitris Giannakis Dartmouth College
J H
Jon Hobbs Jet Propulsion Laboratory
M M W
Monica Martinez Wilhelmus Brown University

Speakers

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A B
Amy Braverman Jet Propulsion Laboratory and Caltech
E B
Ellen Buckley University of Maryland
M H
Momme Hell Brown University
C H
Chris Horvat Brown University
G M
Georgy Manucharyan University of Washington
M M W
Monica Martinez Wilhelmus Brown University
M P
Matthew Parno Dartmouth College
L R
Lettie Roach Columbia University
H S
Helene Seroussi Dartmouth College
J T
Joao Teixeira Jet Propulsion Laboratory

Registration

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