Satellite Remote Sensing in Hydrological Data Assimilation

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Release : 2020
Genre : Hydrologic models
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Book Rating : 764/5 ( reviews)

Satellite Remote Sensing in Hydrological Data Assimilation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Satellite Remote Sensing in Hydrological Data Assimilation write by Mehdi Khaki. This book was released on 2020. Satellite Remote Sensing in Hydrological Data Assimilation available in PDF, EPUB and Kindle. This book presents the fundamentals of data assimilation and reviews the application of satellite remote sensing in hydrological data assimilation. Although hydrological models are valuable tools to monitor and understand global and regional water cycles, they are subject to various sources of errors. Satellite remote sensing data provides a great opportunity to improve the performance of models through data assimilation.

Satellite Remote Sensing in Hydrological Data Assimilation

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Author :
Release : 2020-01-02
Genre : Science
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Book Rating : 754/5 ( reviews)

Satellite Remote Sensing in Hydrological Data Assimilation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Satellite Remote Sensing in Hydrological Data Assimilation write by Mehdi Khaki. This book was released on 2020-01-02. Satellite Remote Sensing in Hydrological Data Assimilation available in PDF, EPUB and Kindle. This book presents the fundamentals of data assimilation and reviews the application of satellite remote sensing in hydrological data assimilation. Although hydrological models are valuable tools to monitor and understand global and regional water cycles, they are subject to various sources of errors. Satellite remote sensing data provides a great opportunity to improve the performance of models through data assimilation.

Assimilation of Remote Sensing Data into Earth System Models

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Release : 2019-11-20
Genre : Science
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Book Rating : 406/5 ( reviews)

Assimilation of Remote Sensing Data into Earth System Models - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Assimilation of Remote Sensing Data into Earth System Models write by Jean-Christophe Calvet. This book was released on 2019-11-20. Assimilation of Remote Sensing Data into Earth System Models available in PDF, EPUB and Kindle. 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 gathers papers reporting research on various aspects of coupled data assimilation in Earth system models. It includes contributions presenting recent progress in ocean–atmosphere, land–atmosphere, and soil–vegetation data assimilation.

Remote Sensing and Water Resources

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Release : 2016-05-04
Genre : Science
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Book Rating : 497/5 ( reviews)

Remote Sensing and Water Resources - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Remote Sensing and Water Resources write by A. Cazenave. This book was released on 2016-05-04. Remote Sensing and Water Resources available in PDF, EPUB and Kindle. This book is a collection of overview articles showing how space-based observations, combined with hydrological modeling, have considerably improved our knowledge of the continental water cycle and its sensitivity to climate change. Two main issues are highlighted: (1) the use in combination of space observations for monitoring water storage changes in river basins worldwide, and (2) the use of space data in hydrological modeling either through data assimilation or as external constraints. The water resources aspect is also addressed, as well as the impacts of direct anthropogenic forcing on land hydrology (e.g. ground water depletion, dam building on rivers, crop irrigation, changes in land use and agricultural practices, etc.). Remote sensing observations offer important new information on this important topic as well, which is highly useful for achieving water management objectives.Over the past 15 years, remote sensing techniques have increasingly demonstrated their capability to monitor components of the water balance of large river basins on time scales ranging from months to decades: satellite altimetry routinely monitors water level changes in large rivers, lakes and floodplains. When combined with satellite imagery, this technique can also measure surface water volume variations. Passive and active microwave sensors offer important information on soil moisture (e.g. the SMOS mission) as well as wetlands and snowpack. The GRACE space gravity mission offers, for the first time, the possibility of directly measuring spatio-temporal variations in the total vertically integrated terrestrial water storage. When combined with other space observations (e.g. from satellite altimetry and SMOS) or model estimates of surface waters and soil moisture, space gravity data can effectively measure groundwater storage variations. New satellite missions, planned for the coming years, will complement the constellation of satellites monitoring waters on land. This is particularly the case for the SWOT mission, which is expected to revolutionize land surface hydrology. Previously published in Surveys in Geophysics, Volume 37, No. 2, 2016

Remote Sensing of the Terrestrial Water Cycle

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Release : 2014-12-08
Genre : Science
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Book Rating : 037/5 ( reviews)

Remote Sensing of the Terrestrial Water Cycle - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Remote Sensing of the Terrestrial Water Cycle write by Venkataraman Lakshmi. This book was released on 2014-12-08. Remote Sensing of the Terrestrial Water Cycle available in PDF, EPUB and Kindle. Remote Sensing of the Terrestrial Water Cycle is an outcome of the AGU Chapman Conference held in February 2012. This is a comprehensive volume that examines the use of available remote sensing satellite data as well as data from future missions that can be used to expand our knowledge in quantifying the spatial and temporal variations in the terrestrial water cycle. Volume highlights include: - An in-depth discussion of the global water cycle - Approaches to various problems in climate, weather, hydrology, and agriculture - Applications of satellite remote sensing in measuring precipitation, surface water, snow, soil moisture, groundwater, modeling, and data assimilation - A description of the use of satellite data for accurately estimating and monitoring the components of the hydrological cycle - Discussion of the measurement of multiple geophysical variables and properties over different landscapes on a temporal and a regional scale Remote Sensing of the Terrestrial Water Cycle is a valuable resource for students and research professionals in the hydrology, ecology, atmospheric sciences, geography, and geological sciences communities.