IPILPS Workshop ANSTO 18-22 April 2005 IPILPS Forcing & REMOiso Performance by Dr Matt Fischer and Kristof Sturm
Jan 26, 2016
IPILPS Workshop
ANSTO 18-22 April 2005
IPILPS Forcing & REMOiso Performance
by Dr Matt Fischer and Kristof Sturm
Topics Topics • History
• ECHAM
• Forcing Variables
• Performance - Europe - South America - Australia
• FAR interpolation
HistoryHistory• PILPS, 8 forcing variables: 2 radiation,
pressure, 2 wind, temp., r’fall, humidity
• IPILPS, where to get isotope var’s from?
• Observations?: high resolution data rare, & no information on spatial variance
• Models? - MUGCM - GISS - ECHAM - REMOiso
•
• Resolution ?
• Climate ?
• Isotopes ?
• Locations ?
ECHAMECHAM• ECMWF model, aimed
at climate simulations• ECHAMiso: Spectral
resolution : T30, i.e. 3.75º (~ 450 km)
• Vertical resolution: 19 levels
• REMOiso - RCM nested in ECHAMiso, run in Europe & South America
• List
Fo
rcin
g V
aria
ble
sF
orc
ing
Var
iab
les
Tumbarumba EQY1: RadiationTumbarumba EQY1: Radiation
• List
Tumbarumba EQY1: RainfallTumbarumba EQY1: Rainfall
Tumbarumba BC24: varianceTumbarumba BC24: variance
Tumbarumba BC24: varianceTumbarumba BC24: variance
• REMOiso was run for 4 years (except Manaus), at =< 5 minute resolution
• EQY1 Equilibrium experiment
• BC24 experiment
• FAR interpolation (for Manaus)
REMOisoREMOiso
Topics Topics • History
• ECHAM
• Forcing Variables• Performance
- Europe - South America - Australia
• FAR interpolation
LocationsLocations• Mid-latitude deciduous forest eg. Munich
• 48°N 16°E
• Tropical rainforest eg. Manaus
• 3°S 60°W
• Mid-latitude eucalypt forest eg.Tumbarumba
• 35°S 148°E
Nordeney 18O from April 97 to Feb 99
18O
18O as good, or bad, as precipitation amounts (Sturm et
al., 2004)
18O
Obs
REMO
EuropeEurope
EuropeEurope
South AmericaSouth America
• 5 minute simulations, written for 25 cells:
• Manaus x9
• Zongo x9
• Rocafuerte x9
• Belem x1
• Izobamba x1
1818O in precipitationO in precipitation
ManausManaus
AustraliaAustralia
• First experiment for this domain
• GNIP Stations:Perth, Darwin, Alice Springs, Brisbane, Adelaide, Cape Grim, Melbourne
• Tumbarumba x9
• Padthaway x9
18O Australia
January
July
18O Australia
TemperatureTemperature
RainfallRainfall
RainfallRainfall
1818OO
D-excessD-excess
Summary so far ...Summary so far ...
• REMOiso simulations of Europe and South America compare with data from GNIP stations and general climatology
• REMOiso simulations of Australia are too wet or dry for some sites, but generally compare with GNIP data, excpet perhaps for D-excess
Topics Topics • History
• ECHAM
• Forcing Variables
• Performance - Europe - South America - Australia
• FAR interpolation
Functional autoregression (FAR)Functional autoregression (FAR)• yt = yt-1 + xt + t
• but, we can replace x & y by orthonormal vector subsets.
• y is 5 minute data, x is 6 hour data
• Estimation: of the parameters , , (, ) using method of Damon & Guillas 2001
• Interpolation: Eigenvectors of x & y are ‘stretched & pulled’ over a new set of 6 hour data to form a new set of 5 min data.
• Applications: NCEP
Temperature & WindTemperature & Wind
FAR 5 min.
Linear 5 m.
Original 5 m.
Temperature & WindTemperature & Wind
Temperature & WindTemperature & Wind
FAR 5 min.
Linear 5 m.
Original 5 m.
RainfallRainfall
FAR 5 min.
Linear 5 m.
Original 5 m.
RainfallRainfall
RainfallRainfall
FAR 5 min.
Linear 5 m.
Original 5 m.
Future : more comparisons!Future : more comparisons!REMOiso comparison of:
• the stochastic properties of storms (duration, intensity, rainout) with Australian BOM data (40 yrs of 6 minute rainfall data, Capital cities only)
• Isotopic rainout of individual storms,for BOM data this is an inverse problem using storm data + monthly GNIP data
ConclusionsConclusions• REMOiso, a regional climate model,
produces monthly isotope values in 3 domains which compare with GNIP data, except, perhaps for D-excess
• FAR can be used to downscale observational data; and is based on functional relationships between different timescales, calibrated with an isotope model.
model
FARFAR
FAR 5 min.
Linear 5 m.
Original 5 m.
FARFAR
FAR 5 min.
Linear 5 m.
Original 5 m.
‘‘
• List