Article ID Journal Published Year Pages File Type
6536870 Agricultural and Forest Meteorology 2018 14 Pages PDF
Abstract
Finally, statistical analysis was performed to evaluate the detection limit of trends; we computed the confidence intervals of trends in multi-year carbon fluxes that need to be resolved to conclude whether the differences are to be attributed to randomness or biophysical forcings. Future studies and reports on interannual variations need to consider the role of the duration of the time series on random errors when quantifying potential trends and extreme events.
Related Topics
Physical Sciences and Engineering Earth and Planetary Sciences Atmospheric Science
Authors
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