Climate change is
of great importance for urban water management today as the infrastructure
planning horizon is often very long. Significant parts of the urban drainage
systems is dimensioned using models that use rainfall time series as input.
this creates some challenges for considerations of climate change as climate
model output generally is much coarser than this.
project the focus is on building spatial statistical models for the
precipitation gauge network to better characterize how a flood causing event
appear when recorded as a number of concurrent point measurements and, when
these situations are isolated, make statistical models that link them to the
(regional) climate scale using climate reanalysis data.
Feel free to contact either:
Martin Drews (firstname.lastname@example.org), DTU Management, Engineering
Peder Bacher (email@example.com), DTU Compute or
Hjalte Jomo Danielsen Sørup (firstname.lastname@example.org), DTU Environment,
for further information.
Good R programming skills