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ISSN : 2332-2594

Journal of Climatology & Weather Forecasting
Open Access

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Review Article

GRACE, Climate Change and Future Needs: A Brief Review

Sandeep N Kundu*

Department of Geography, National University of Singapore, Singapore

Corresponding Author:
Sandeep N Kundu
Department of Geography, National University of Singapore, Singapore
Tel: 09000633008
E-mail: [email protected]

Received Date: October 27, 2016; Accepted Date: November 22, 2016; Published Date: November 28, 2016

Citation: Kundu SN (2016) GRACE, Climate Change and Future Needs: A Brief Review. J Climatol Weather Forecasting 4:179. doi: 10.4172/2332-2594.1000179

Copyright: © 2016 Sandeep NK. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Gravity Recovery and Climate Experiment (GRACE) is a satellite based observation of the Earth’s gravitational field through time. Earth’s gravitational field has long been studied to infer the densities of underlying rocks for geological characterization at various scales. Convention gravity measurements were done using spring gravimeters on ground. However continuous observations of temporal variations in the Earth’s gravity field have become available at an unprecedented resolution of a few hundreds of kilometres through satellite based sensors. With the launch of GRACE in 2002, the study of the exchange of mass both within the Earth and at its surface in the short temporal interval has become possible. This has huge implications in studying the impacts of earth’s surface processes involving the interaction of the atmosphere, hydrosphere, cryosphere and biosphere. GRACE gravity, therefore, has gained relevance for Earth scientists as an important tool to study the complex dynamics of the Earth system and climate change. The current article researches on the principles behind grave gravity variations and its applications to infer climate change and proposes the advances required to overcome the limitations of GRACE for climate change forecasting.

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