No BSD License
Highlights from
WEACLIM
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X=shiftgrid(Y,lon,lat,choice);
X=shiftgrid(Y,lon,lat,choice);
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[A_verif,B_verif,ADJ,ADJM]=mo...
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[CLUS,mean_cluster,CLUSMOD,RA...
[clus,mean_cluster,clusmod,TARGET_SIM,ID]=weather_type_model(OBS,MODEL,TARGE
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[DOF]=dof_comb(x,l,missing,re...
[DOF]=dof_comb(x,l,missing,replace)
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[DOF]=dof_comb_red(x,l,nsim,v...
[DOF]=dof_comb_red(x,l,nsim,value,missing,replace)
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[F]=filtrage(x,choice,N,ord);
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[GCM3,PGCM,SCALING]=local_sca...
[GCM2,Pgcm,scaling]=local_scaling(gcm,obs,seas,threshold);
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[HR,FAR,LL,tabcont]=roc(obs,f...
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[IND,N,FREQ]=classe(X,thres);
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[P,Q,HEP,HEQ,S,A,B]=bp(X,Y,ch...
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[PP]=cv(X,DIMS);
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[RAINMOD]=swg_mos_cca(rain,ma...
[RAINMOD]=swg_mos_cca(rain,mat,lseason,thres,latrain,latmat,cw,cdib,cs,DIMS,PROP,knn);
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[RPS,RPSS]=rps(obs,sim,nc);
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[TARGET_SIM,INDICEDAY]=knn_an...
[TARGET_SIM,INDICEDAY]=knn_analog_model(OBS,MODEL,TARGET,prop,lseason,window,knn,value);
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[X2]=decalage(X,va);
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[X]=copy(Y,N);
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[X]=ebisuzaki(x,nsim,value);
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[X]=fliplonlat(Y,lon,lat,choi...
[X]=fliplonlat(Y,choicein,choiceout);
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[X]=mixed_exp_rnd(value,n,alp...
[X]=mixed_exp_rnd(value,n,alpha,beta1,beta2);
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[X]=select_time_area(Y,indice...
[X]=select_time_area(Y,indicet,indices);
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[Y,CYCM,CYCS]=anomaly(X,lseas...
[Y,CYCM,CYCS]=anomaly(X,lseason,nrun,cpu,choice)
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[Y]=padd(X,lseason,n);
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[Y]=swg_cluster(value,seq,nsi...
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[Z]=proj(x,lon,lat,lonout,lat...
[Y]=proj(X,lon,lat,lonout,latout,ch,choice,choice_out,method);
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[Z]=scale_mean_var(X,Y);
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[adjusted,nomb]=search_mode(o...
[adjusted,nb]=search_mode(obs,sim);
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[analog,output]=find_analog(X...
[analog,output]=find_analog(X,library,target,knn,value);
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[best_estimates]=mixed_expfit...
[best_estimates]=mixed_expfit(x,maxiter);
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[c]=nancov(x,missing)
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[chi,p]=chi2(tab);
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[d]=distance_euclid(a,b,opt);
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[dry_nb,dry_length,dry_sample...
[NB,MEAN,SAMPLE,ECH]=find_spell(X,thres,thres2,choice);
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[hr,far,rocscore]=roc_prob(ob...
[HR,FAR,ROCSS]=rocscore(obs,forecast,ncl,prob)
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[indice,l]=choose_date_daily(...
[indice]=choose_date_daily(depart,year,month,day,hour);
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[indice]=choose_area_gridded(...
[indice]=choose_area_gridded(lon,lat,flon,flat,choice);
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[indice]=choose_date_monthly(...
[indice]=choose_date_monthly(year1,year2,nmon);
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[lepsp,leps,lepspotts,potts,S...
[lepsp,leps,lepspotts,potts,,SK]=lepscont2(yobs,yestim);
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[occ]=markov_chain_1(value,n,...
[occ]=markov_chain_1(value,n,p01,p11,nsim,out);
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[p00,p01,p10,p11]=prob_wet_dr...
[p00,p01,p10,p11]=prob_wet_dry(sequence,lseason,threshold)
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[p01,p11]=inverse_persist(x,y...
[p01,p11]=inverse_persist(x,y)
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[prob,plike,punlike]=test_mar...
[prob,plike,punlike]=test_markov_chain(seq,value,nsim)
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[robs,p]=corr_mc(a,b,nsim,val...
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[seas,occ,int,pw,pd,dry,wet]=...
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[x,pos]=ponder(x,lat);
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[x,y]=persist(p01,p11);
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[x]=nanstan(y,opt,missing,rep...
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[x]=replace_missing(x,missing...
[x]=replace_missing(y,missing);
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[x]=stan(y,opt,missing);
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[x_rand]=swg(choice,value,n,p...
[x_rand]=swg(choice,value,n,p01,p11,param,thres,nsim,out);
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[x_rand]=swg_gamma(value,n,p0...
[x_rand]=swg_gamma(value,n,p01,p11,param,nsim);
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[x_rand]=swg_mixexp(value,n,p...
[x_rand]=swg_mixexp(value,n,p01,p11,param,thres,nsim);
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[x_rand]=swg_weibull(value,n,...
[x_rand]=swg_weibull(value,n,p01,p11,param,thres,nsim);
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dof(x)
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nandof(x,replace,missing)
DOF : Estimation of spatial degrees of freedom
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r=inverse_fisherz(z);
R=inverse_fisherz(Z)
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r=inverse_log_odd(z);
R=inverse_log_odd(Z)
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z=log_odd(r);
Z=log_odd(R)
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content.m
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WEACLIM
by Vincent Moron
26 Apr 2006
(Updated 27 Apr 2006)
WEACLIM analyses, transforms and generate daily time series (of rainfall) for downscaling studies
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| File Information |
| Description |
This toolbox has been developped primarily to study daily rainfall time series. There are three general drivers used to generate daily time series using K Nearest Analog, Weather Classification and Local Scaling approaches (knn_analog_model, weather_type_model and local_scaling). It includes also simple statistical tests (for correlation and probability transition) and also analysis of intra-seasonal variability of rainfall time series. Are also included simple univariate stochastic weather generators for simulating time series. |
| Required Products |
Signal Processing Toolbox
Statistics Toolbox
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| MATLAB release |
MATLAB 6.0 (R12)
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