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CLWRF: WRF modifications for regional climate simulation under future scenarios

Conferencia: 11th WRF Users' Workshop
Año: 2010
Tipo de contribución: Poster
Archivo PDF: WRFusers_clwrf.pdf
Poster: 2010_Fita_WRFusers_clwrf_poster.pdf

CLWRF is a set of modifications to the WRF v3.1.1 code by the Santander
Meteorology Group (SMG) to perform more flexible regional climate simulations
with WRF-ARW. Currently, CLWRF adds two main capabilities to the model: (1)
flexible GHG scenario usage and (2) output of mean and extreme statistics of
surface variables. CLWRF extensions are activated at compile time.

The CAM3 radiation scheme in WRF 3.1.1 has a hard-coded SRES A2 scenario for
CO2, while the rest of the trace gases are kept constant along the simulation.
CLWRF modifications provide a more flexible approach by reading the CO2, N2O,
CH4, CFC11 and CFC12 concentrations from an ASCII file. The user can apply the
GHG concentrations used in the boundary global model without modifying or
recompiling the WRF code. Climate simulations are also concerned with
averaged, maximum or minimum variables and not just the instantaneous values.
Averages are available for some variables offered as accumulations, however,
the computation of maximum or minimum values is lacking. For instance, the
computation of maximum temperature out of the model instantaneous values would
require a high output frequency of surface temperature and would be dependent
on this output frequency. CLWRF adds WRF output variables recording statistical
values (minimum, maximum, mean, standard deviation and time of min/max) from
the internal time-step values for different surface variables: T2, Q2, U10,

A sensitivity study to the variation of trace gas mixing ratios is presented in
order to show the new trace gas reading. At the same time, some statistical
values for surface variables are also presented. Both results are based on
simulations for the entire African continent encompassed within the CORDEX
initiative. CLWRF is an ongoing initiative and we are currently working in the
addition of other variables such as: sunshine duration, daily maximum 1h
rainfall rate and gust wind.

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