updating wsim-gldas acquisition with lit review

.gitignore

@@ -16,4 +16,5 @@ TOPSTSCHOOL-module-1-water.Rproj
 composite_1mo.nc
 composite_12mo.nc
 gpw_v4_population_count_rev11_2020_15_min.tif
-.DS_Store
+.DS_Store
+map_plot.png

wsim-gldas-acquisition.qmd

@@ -242,16 +242,22 @@ stars::write_mdim(wsim_gldas_anoms_tex, "wsim_gldas_tex.nc")
 
 The size of the pre-processed dataset is 1.6 MB compared to the original dataset of 1.7 GB. This is much more manageable in cloud environments, workshops, and git platforms.
 
-If you want to share an image (png?) of the plot that you created you can save it to your computer. Here is the command…
+If you want to share an image of the plot that you created you can save it to your computer as a .png file. You can open the `png()` device, producing the plot, and closing the device with `dev.off()`:
+
 ```{r}
 # Save the map plot as a PNG file
-png("map_plot.png", width = 800, height = 600)  # Specify file name and dimensions
+# Specify file name and dimensions 
+png("map_plot.png", width = 4, height = 4, units="in", res=300)  
+wsim_gldas_anoms_tex |>
+  dplyr::slice(index = 15, along = "time") |>
+  plot(reset = FALSE, breaks = c(0, -5, -10, -20, -30, -50))
 plot(sf::st_geometry(texas),
      add = TRUE,
      lwd = 3,
      fill = NA,
      border = 'purple')
-dev.off()  # Close the PNG device
+#close png() device
+dev.off() 
 ```
 Once you run this code you can find the file in the file location… This allows you to share your findings.
 

wsim-gldas-references.bib

@@ -93,6 +93,7 @@ @misc{Zhou2016
   }
   
 @misc{NOAA2019,
+  author= {NOAA},
   title = {Water Cycle},
   year = {2019},
   date = {February 1},
@@ -101,6 +102,7 @@ @misc{NOAA2019
 }
 
 @misc{NOAA2023,
+  author= {NOAA},
   title = {What are El Nino and La Nina?},
   year = {2023},
   date = {August 24},