Search Response
View Full Response
Next
Number of results:
17
Start index:
1
ESA Lakes Climate Change Initiative (Lakes_cci): Lake products, Version 1.0
ESA Lakes Climate Change Initiative (Lakes_cci): Lake products, Version 2.1
ESA Sea Level Climate Change Initiative (Sea_Level_cci): Time series of gridded Sea Level Anomalies (SLA), Version 2.0
ESA Lakes Climate Change Initiative (Lakes_cci): Lake products, Version 1.1
ESA Sea Level Climate Change Initiative (Sea_Level_cci): Fundamental Climate Data Records of sea level anomalies and altimeter standards, Version 2.0
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: Ananlyses of the Global mean sea level change, ocean circulation, sea level rise, ocean dynamics and processes, model development and validation.
ESACCI-SEALEVEL-L4-MSLA-MERGED-19930115000000-fv01. CLIMATE APPLICATIONS: Ananlyses of the Global mean sea level change, ocean circulation, sea level rise, ocean dynamics and processes, model development and validation.
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.
GlobWave Level 4 Altimeter Monthly Gridded Sea State. CLIMATE APPLICATIONS: Global variability of significant wave height on a monthly timescale and 1 degree grid Monthly statistics Estimation of extreme values