作者: M. Ablain , A. Cazenave , G. Larnicol , M. Balmaseda , P. Cipollini
关键词: Climate model 、 Tide gauge 、 Meteorology 、 Atmospheric correction 、 Data processing 、 Altimeter 、 Climate change 、 Ocean current 、 Environmental science 、 Climatology 、 Sea level
摘要: Abstract. Sea level is one of the 50 Essential Climate Variables (ECVs) listed by Global Observing System (GCOS) in climate change monitoring. In past two decades, sea has been routinely measured from space using satellite altimetry techniques. order to address a number important scientific questions such as "Is rise accelerating?", "Can we close budget?", "What are causes regional and interannual variability?", already detect anthropogenic forcing signature separate it internal/natural coastal impacts rise?", accuracy altimetry-based records at global scales needs be significantly improved. For example, mean trend uncertainty should become better than 0.3 0.5 mm year−1, respectively (currently 0.6 1–2 year−1). Similarly, variations uncertain 2–3 mm) need monitored with accuracy. this paper, present various data improvements achieved within European Space Agency (ESA) Change Initiative (ESA CCI) project on "Sea Level" during its first phase (2010–2013), multi-mission over 1993–2010 time span. step, new processing system dedicated algorithms adapted strategies, an improved set products produced. The main include: reduction orbit errors wet/dry atmospheric correction errors, instrumental drifts bias, intercalibration biases, between missions combination different sets, improvement reference surface. We also preliminary independent validations SL_cci products, based tide gauges comparison budget closure approach, well comparisons ocean reanalyses model outputs.