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Assimilation of Remote Sensing Data into Earth System Models by Jean-Christophe Calvet, Patricia De Rosnay, Stephen G. Penny is a nonfiction available to read on EtoBox.

What is Assimilation of Remote Sensing Data into Earth System Models about?

In the Earth sciences, a transition is currently occurring in multiple fields towards an integrated Earth system approach, with applications including numerical weather prediction, hydrological forecasting, climate impact studies, ocean dynamics estimation and monitoring, and carbon cycle monitoring. These approaches rely on coupled modeling techniques using Earth system models that account for an increased level of complexity of the processes and interactions between atmosphere, ocean, sea ice, and terrestrial surfaces. A crucial component of Earth system approaches is the development of coupled data assimilation of satellite observations to ensure consistent initialization at the interface between the different subsystems. Going towards strongly coupled data assimilation involving all Earth system components is a subject of active research. A lot of progress is being made in the ocean-atmosphere domain, but also over land. As atmospheric models now tend to address subkilometric scales, assimilating high spatial resolution satellite data in the land surface models used in atmospheric models is critical. This evolution is also challenging for hydrological modeling. This book gather

Who reads Assimilation of Remote Sensing Data into Earth System Models?

Author

Jean-Christophe Calvet, Patricia De Rosnay, Stephen G. Penny

Publisher

MDPI - Multidisciplinary Digital Publishing Institute

Published

2019

Language

EN

ISBN

9783039216413

Category

nonfiction

Subjects

Science, Geodesy, Stem