Detection of linear trends in multi-sensor time series in the presence of autocorrelated noise: Application to the chlorophyll-a SeaWiFS and MERIS datasets and extrapolation to the incoming Sentinel 3-OLCI mission
The detection of long-term trends in geophysical time series is a key issue in climate change studies. This detection is affected by many factors: the size of the trend to be detected, the length of the available data sets, and the noise properties. Although the noise autocorrelation observed in geo...
| Main Authors: | , , , , , |
|---|---|
| Format: | Journal Article |
| Published: |
Wiley-Blackwell Publishing Inc.
2013
|
| Online Access: | http://hdl.handle.net/20.500.11937/7374 |