diff --git a/MCWD.R b/RasterMCWD.R
similarity index 60%
rename from MCWD.R
rename to RasterMCWD.R
index 3f83cd1..8321276 100644
--- a/MCWD.R
+++ b/RasterMCWD.R
@@ -1,9 +1,11 @@
-## MCWD (Maximum Cumulative Water Deficit) Script ##
+## MCWD (Maximun Cumulative Water Deficit) Script ##
 # Reference: https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2006GL028946 #
+
 # Library
 library(raster)
+library(snow)
 
-setwd("Working-Directory") # Directory with Monthly Rainfall Rasters
+setwd("directory-here") # Directory with Monthly Rainfall Rasters
 
 # List of Monthly Rainfall Rasters
 month.rainfall = list.files("./", pattern = '.tif$', full.names = T)
@@ -31,17 +33,19 @@ mcwd.f = function(x){
 return(result)  
 }
 
-
-# Applying the Function
-cwd = calc(wd, fun = mcwd.f)
-
+# Applying the Function (Parallel)
+beginCluster(n=10) #Change according to the number of core on your computer
+cwd = clusterR(wd, calc, args=list(fun=mcwd.f))
+endCluster()
+writeRaster(cwd, "./MCWD/CWD_1981_2020.tif") # Saving the Monthly CWD
 
 # Determining the Annual MCDW
-ano = 2006 # Start Year of the Temporal Series
-for (i in seq(1,132,12)) { # Replace 132 by the Total Months of the Time Series
+ano = 1981 # Start Year of the Temporal Series
+for (i in seq(1,Y_Y,12)) { # Replace "Y_Y" by the Total Months of the Time Series
   cwd.a = cwd[[i:(i+11)]]
   mcwd.a = min(cwd.a)
-  
+  j = 121188*(1980-ano)
+  mcwd.a[mcwd.a == j] = NA
   # Saving the Annual MCWD
   print(paste0(ano, " - ", Sys.time()))
   writeRaster(mcwd.a, paste0("./MCWD/MCWD_", ano, ".tif")) # Create a Folder Called "MCWD" in your Working Directory