# Chapter 9 microclim

## 9.1 How to use microclim

1. Go to the figshare repository.

2. Select the dataset (zip file) you are looking for from the list and click it.

4. Open the file using `nc <- nc_open("filename")` and extract the values using `ncvar_get(nc)`. Pay attention to the dimension of the data. Oftentimes, data are arranged as array[longitude, latitude, time]. `nc\$dim\$longitude\$vals` and `nc\$dim\$latitude\$vals` let you see the values of longitude and latitude respectively, which are necessary to obtain the index of the coordinates you want.

## 9.2 Code example

Getting solar radiation in Maricao Forest, Puerto Rico (-67°, 18.15°) for January, 2017

``````nc <- nc_open(PATH_TO_NCFILE)
ncvar <- ncvar_get(nc)
# dimension: (lon, lat, hour) = (2159, 852, 24)

lonInd <- match.closest(-67, nc\$dim\$longitude\$vals)
lat <- sort(nc\$dim\$latitude\$vals)[match.closest(18.15, sort(nc\$dim\$latitude\$vals))]
latInd <- match(lat, nc\$dim\$latitude\$vals)

array <- c()
for (i in 1:24) {
array <- c(array, ncvar[lonInd, latInd, i])
}

dates <- rep(paste0("2017-01-15"), 24)

df <- data.frame("Date" = dates,
"Hour" = rep(0:23),
"Data" = array)

df\$Date <- format(as.POSIXct(paste0(df\$Date, " ", df\$Hour, ":00")), format = "%Y-%m-%d %H:%M")``````