with the same method used to estimate
qR(D;T ), but instead of pooling AMF series for a given duration D from different sites, the
estimation is made individually for each site i by pooling AMF series for different durations D.
The index flood, µi(D), is modelled at each site i as a continuous function of D, as follows:
12
µi(D) =
µi
1+(D=Di)li
; (6)
where µi, Di and li are basin dependent parameters
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value of the least squares line matched
the expected 2010 value based on the AR modelling of the
past climate.
The trend analysis of the future climate eliminates the di-
rect use of a past baseline period in the derivation of the sce-
narios and provides a consistent match with the recent cli-
mate development. Furthermore, the statistical matching of
the past climate observations with the trend
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Pacific, sea surface height decline was evident (Church, Clark, et al., 2013). Thus,
regional sea level research is important to be able to produce more reliable region specific sea level
projections (Quante and Colijn, 2016).
Regional sea levels are rather associated with natural or anthropogenic climate modes in e.g. ocean
dynamical processes, sea floor movements and gravity changes as a result
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