See more details in the CLWRF wiki
CLWRF is a set of modifications to the WRF v3.1.1 code maintained by the Santander MetGroup 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 the compilation time. 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.
21-Sep-2011. CLWRF partly incorporated on official WRF code in the new release v3.3.1 of the model. This version allow obtaining a series of statistical values (minimum, maximum, mean, standard deviation and time of minimum and maximum) of a set of surface variables (T2, U10, V10, Q2 and SKINTEMP) from their time-step values. Without these modifications, users have to obtain these statistical values from the output-file frequency (usually 1-hour or larger).
See the poster and extended abstract of the presentation at the 11th WRFusers' workshop.
How to contribute:
CLWRF is open initiative coordinated by the Santander MetGroup which is being used, among others, by the WRF community contributing to the COordinated Regional Downscaling Experiment (CORDEX). If you wish to contribute with some additional feature, you can contact us here.
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, V10, RAINCV and RAINNCV.