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ESA Lakes Climate Change Initiative (Lakes_cci): Lake products, Version 2.1
ESA Lakes Climate Change Initiative (Lakes_cci): Lake products, Version 1.1
ESA Lakes Climate Change Initiative (Lakes_cci): Lake products, Version 1.0
CLIMATE APPLICATIONS: The global mean level of the oceans is one of the most important indicators of climate change. It incorporates the reactions from several different components of the climate system. Precise monitoring of changes in the mean level of the oceans, particularly through the use of altimetry satellites, is vitally important, for understanding not just the climate but also the socioeconomic consequences of any rise in sea level.
CLIMATE APPLICATIONS: Model initialisation and evaluation, global warming. Reference: Allard et al. (in press) Utilizing CryoSat-2 Sea Ice Thickness to Initialize a Coupled Ice-Ocean Modeling System, Advances in Space Research
CLIMATE APPLICATIONS: Global sea-level budget, Antarctic mass balance interpretation, Greenland mass balance interpretation. Products from CCI are not publicly released yet (due Apr 2017). Similar data was used in McMillan et al, 2014. GRL, Increased ice losses from Antarctica detected by CryoSat-2 doi:10.1002/2014GL060111
CLIMATE APPLICATIONS: The global mean level of the oceans is one of the most important indicators of climate change. It incorporates the reactions from several different components of the climate system. Precise monitoring of changes in the mean level of the oceans, particularly through the use of altimetry satellites, is vitally important, for understanding not just the climate but also the socioeconomic consequences of any rise in sea level.
CLIMATE APPLICATIONS: Global sea-level budget, Antarctic mass balance interpretation, Greenland mass balance interpretation. Products from CCI are not publicly released yet (due Apr 2017). Similar data was used in McMillan et al, 2014. GRL, Increased ice losses from Antarctica detected by CryoSat-2 doi:10.1002/2014GL060111
CLIMATE APPLICATIONS:
CLIMATE APPLICATIONS: reduction in uncertainty of the quantitative role of aerosols in climate forcing; validate and improve the capability of climate simulation models and reanalyses to represent aerosol effects;