The following draft experimental design is not intended as a proposal to be defended but instead is offered as a guide for discussion. Please email us at pircs@iastate.edu with comments and suggestions.
Background Information
Terrain map for potential PIRCS domain, at 50 km resolution
Country borders and major cities
Climate of South America
Climate Research in South America
Domain: most of South America (see maps)
Resolution 50 km
(some modelers may want to do an inner nest ~ 20km)
Period: Jan 1998 - December 1999
(max of last El Nino to current La Nina)
Initial/Lateral/Surface Boundary Conditions:
NCEP reanalysis to provide primary boundary conditions (Version 2 available? ECMWF reanalysis better in tropics?) Vegetation and topography data sets can be provided. No additional surface boundary data set appears needed.
Output Archive:
NetCDF format
(We will provide a translator code, potentially based on one developed by Argonne)
Meta-database describing more extensive PIRCS-2 holdings at participating institutions
OUTPUT FIELDS:
Notes:
A. Output fields transmitted to us will be 2-D fields, reducing data transmission/storage requirements.
B. Modelers will store more complete model-run history at their own institution, with the PIRCS meta-database providing summaries and pointers to the output.
1. Direct output (minor post-processing)
Three hourly cumulative
(a) convective precipitation
(b) stratiform precipitation
(c) surface energy fluxes: up/down solar, up/down longwave, sensible, latent
(d) outgoing longwave radiation (top of atmosphere)
- Is (d) readily available from most models?
Other fluxes?Three hourly instantaneous
(a) 2-m air temperature
(b) sea-level pressure
(c) surface pressure
(d) cloud coverSix Hourly
(a) east-west wind component at 850 hPa
(b) north-south wind component at 850 hPa
(c) east-west wind component at 200 hPa
(d) north-south wind component at 200 hPa
Other levels; e.g., near LLJ?Daily
(a) Min/max temperature
(b) Soil moisture
(c) Cumulative runoff
2. Derived statistics: We provide code or algorithm.
Three-hour average
(a) vertically integrated horizontal water transport
(b) precipitable water
(c) vertically integrated cloud waterMonthly averages at 850, 700, 500, 300, and 200 hPa
(a) East-west wind speed
(b) North-south wind speed
(c) Vertical wind speed
(d) TemperatureOther
(a) LLJ statistics (daily)
(b) 850 hPa streamfunction - (6 hourly)
(c) 850 hPa velocity potential - (6 hourly)
(d) 200 hPa streamfunction - (6 hourly)
(e) 200 hPa velocity potential - (6 hourly)
(f) 500 hPa vertical wind - (6 hourly)
- Would geostrophic and ageostrophic winds be preferable to velocity potential and streamfunction?
- Other levels, e.g., 925 mb to capture LLJ?
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