Day-to-day meteorological variability in northern Chile: impacts and predictability René D. Garreaud Department of Geophysics Universidad de Chile • General circulation and climate context • Regional circulation • Mid-latitude systems • Central Andes Convection • Weather forecasting: Basis – Methods - Applications
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Day-to-day meteorological variability in northern Chile: impacts and predictability René D. Garreaud Department of Geophysics Universidad de Chile General.
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Day-to-day meteorological variability in northern Chile:impacts and predictability
René D. GarreaudDepartment of Geophysics
Universidad de Chile
• General circulation and climate context• Regional circulation• Mid-latitude systems• Central Andes Convection• Weather forecasting: Basis – Methods - Applications
ZCITecuador
33SA
B
B
Circulación media de gran escala
B
In the context of weather and climate phenomenaatmosphere continuum fluid
gFpVkfdtVd
R
1ˆ
SfcConvRADPQQQSTV
t
)(
0p
V
pRT
pgz
)(
Basic equations
But ...
• Previous system is highly non-linear and implicit; no analytic solution can be obtained
• Some physical processes are difficult to model (cloud formation, radioactive transfer, surface exchange, etc.)
.... Numerical modeling
•Use regular grids (vertical coordinate)
•Finite differences in space and time (vs. Spectral models)
•Parameterization of sub-grid processes
Regional versus Global modeling
Regional Global
Horizontal domain 1000 1000 km2 108 km2
Horizontal grid spacing 5-50 km 200-500 km
Horizontal grid type Regular grid point Spectral (T45 / R63)
Vertical resolution below 800 hPa 10-15 4-9 (5 in CCM3)
Integration times Days to weeks (year?) Season to decades
Spin-up time Few hours Few years
Lead applications NWP –
Diagnosis of weather events Climate studies, seasonal
prediction
Physical parametrizations Several options Single option
Bottom Boundary Conditions (BBC) Fixed / Coupled Coupled with ocean
or land
Regional atmospheric modeling: Current status Regional atmospheric modeling is currently being performed in many groups at Universities, State Agencies and Private companies, in part because:
Availability of modestly priced single and multiprocessor workstations that provide "supercomputer" processing capabilities
Availability of regional (synoptic-mesoscale) models that run efficiently on workstations, sometimes as a black box (MM5, RAMS)
Real-time accessibility of analysis and forecast grids from operational, global models (MRF-NCEP, ETA-CPTEC, etc.)
D1: 135 x 135 (km) - 34 x 40 x 30 puntosD2: 45x45 (km) - 55 x 55 x 30 puntosD3: 15 x 15 (km) - 73 x 73 x 30 puntos
Inicialización: Un ciclo 0000 UTC (2000 HL) cada díaPeriodo de simulación: 72 horasIntervalo de salida: 1 horaCondiciones de borde e iniciales: NCEP-NOAA (USA)