Group 5

Bojariu, Roxana
National Institute of Meteorology and Hydrology,
Bucharest, Romania

Srnec, Lidija
Meteorological and Hydrological Service,
Zagreb, Croatia

Velea, Liliana
National Institute of Meteorology and Hydrology,
Bucharest, Romania
Sensitivity of the
local response
over Europe to
extreme NAO
phases
Motivation
 NAO
 It’s a dominant circulation pattern in the
Northern Hemisphere winter.
 It’s a source of predictability for the
European regions.
 It has socio-economic impacts (e.g. power
and water management, marine ecosystem
resources, agriculture)
Questions:
 Does the model represent the NAO
signal?
 What is the effect of ocean flux
parameterization scheme on the
simulated NAO signal?
Experiment design

Domain:

Period of simulations:
80x70x18
46N,8E
January 1995
(CRU NAO index=+2.7)
January 1996

Data:

Ocean flux scheme:
(CRU NAO index=-3.71)
ECMWF
NCEP2
CRU
Zeng
BATS
PRECIPITATION 1995
CRU
ECMWF
NCEP2
TEMPERATURE Jan 1995
CRU
ECMWF
NCEP2
PRECIPITATION JAN 1996
CRU
ECMWF
NCEP2
TEMPERATURE JAN 1996
CRU
ECMWF
NCEP2
DIFFERENCE PRECIPITATION (COMPOSITES) 95-96(NCEP2)
CRU
NCEP2
DIFFERENCE TEMPERATURE (COMPOSITES) 95-96(NCEP2)
CRU
NCEP2
PRECIPITATION Jan 1995(ECMWF)
CRU
Zeng
BATS
PRECIPITATION JAN 1996 (ECMWF)
CRU
Zeng
BATS
PRECIPITATION JAN 1996 (NCEP2)
CRU
Zeng
BATS
TEMPERATURE JAN 1995(ECMWF)
CRU
Zeng
BATS
TEMPERATURE JAN 1996(ECMWF)
CRU
Zeng
BATS
Preliminary conclusions
Local features of the NAO-type patterns are well
represented.
Relevant local responses due to topography are
identified.
Zeng ocean flux parameterization scheme
seems to be more realistic in precipitation field,
but the differences are not pronounced.
Follow up

Extended simulation interval

More analysis methods