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ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Experimental Break-Adjusted COMBINED Product, Version 06.1

ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): COMBINED product, Version 06.1

ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Ice Velocity time series for the Upernavik glacier from ERS-1, ERS-2, Envisat and PALSAR data for 1992-2010, v1.2

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: Water cycle, energy cycle, carbon cycle, numerical Weather prediction, climatological extremes, trend analysis, hydrological and agricultural processes i.e. runoff generation, drought development, and irrigation. Data usage overview manuscript is currently under review for Remote Sensing of Environment. title: "ESA CCI Soil Moisture for improved Earth System understanding: state-of-the art and future directions"

CLIMATE APPLICATIONS: Ananlyses of the Global mean sea level change, ocean circulation, sea level rise, ocean dynamics and processes, model development and validation.

ESA CCI SM v2.2. CLIMATE APPLICATIONS: Water cycle, energy cycle, carbon cycle, numerical Weather prediction, climatological extremes, trend analysis, hydrological and agricultural processes i.e. runoff generation, drought development, and irrigation. Data usage overview manuscript is currently under review for Remote Sensing of Environment. title: "ESA CCI Soil Moisture for improved Earth System understanding: state-of-the art and future directions"

ESA SST CCI ATSR L3U Long-term product (v1.1). CLIMATE APPLICATIONS: SST CCI records include the skin (radiometric) temperature at time of satellite observation and an estimate of SST at drifting buoy depth (20 cm) at a standardised time of day. The "calibration" of the retrieval is preserves independence from in situ observations. Context-specific uncertainty estimates are provided with each SST datum. In climate assessment activities, the SST CCI products have been found to be suitable for purposes such as evaluation of the mean state and (co)variability of coupled climate models. For further information see: http://www.esa-sst-cci.org/sites/default/files/Documents/public/SST_CCI-CAR-UKMO-001-Issue_1-signed-accepted.pdf.

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: 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