Pivot_wider is giving a lot of N/A values when reshaping - r

Question

I am trying to use the pivot_wider function on the PARAMETER column to get out the unique values however, when I do that, it gives me a bunch on NA values. Below is the code that I am trying to use so far but it is resulting in the picture below and I have attempted a lot of na.omit related functions which just removed all rows.
pivot_wider(names_from = PARAMETER,
values_from = Month_Average)
I am trying to get it in the below format: where everything is on one row.
Year
Month
LAT
LON
Temperature
Humidity
wind_10_meters
wind_50_meters
precipitation
1990
Sep
25.5
-90
95
24
8
8
.5
1991
Oct
25.5
-90
89
20
8
4
1
These aren't accurate numbers, but I want to get all the information to show for that year and month in one row? Below I have provided the data that I am working with.
Here is what dput() gave me. I did head() since it was really long.
structure(list(PARAMETER = c("PS", "PS", "PS", "PS", "PS", "PS"
), YEAR = c(1990L, 1990L, 1990L, 1990L, 1990L, 1990L), LAT = c(35.25,
35.25, 35.25, 35.25, 35.25, 35.25), LON = c(-71.75, -71.75, -71.75,
-71.75, -71.75, -71.75), ANN = c(101.91, 101.91, 101.91, 101.91,
101.91, 101.91), MONTH = c("NOV", "JAN", "FEB", "MAR", "APR",
"MAY"), Month_Average = c(101.9, 102.01, 102.22, 102.36, 101.87,
101.63)), row.names = c(NA, -6L), class = c("tbl_df", "tbl",
"data.frame"))
dput of the code after running my pivot_wider:
structure(list(YEAR = c(1990L, 1990L, 1990L, 1990L, 1990L, 1990L
), LAT = c(35.25, 35.25, 35.25, 35.25, 35.25, 35.25), LON = c(-71.75,
-71.75, -71.75, -71.75, -71.75, -71.75), ANN = c(101.91, 101.91,
101.91, 101.91, 101.91, 101.91), MONTH = c("NOV", "JAN", "FEB",
"MAR", "APR", "MAY"), PS = c(101.9, 102.01, 102.22, 102.36, 101.87,
101.63), T2M = c(NA_real_, NA_real_, NA_real_, NA_real_, NA_real_,
NA_real_), RH2M = c(NA_real_, NA_real_, NA_real_, NA_real_, NA_real_,
NA_real_), WS10M = c(NA_real_, NA_real_, NA_real_, NA_real_,
NA_real_, NA_real_), WS50M = c(NA_real_, NA_real_, NA_real_,
NA_real_, NA_real_, NA_real_), PRECTOTCORR = c(NA_real_, NA_real_,
NA_real_, NA_real_, NA_real_, NA_real_)), row.names = c(NA, -6L
), class = c("tbl_df", "tbl", "data.frame"))
Adding Parameter test
structure(list(YEAR = c(1990L, 1990L, 1990L, 1990L, 1990L, 1990L
), MONTH = c("APR", "APR", "APR", "APR", "APR", "APR"), LAT = c(35.25,
35.25, 35.25, 35.25, 35.25, 35.25), LON = c(-78.75, -78.75, -78.75,
-78.75, -78.75, -78.75), ANN = c(2.93, 3.42, 5.39, 16.89, 75.28,
101.13), number_of_parameters = c(1L, 1L, 1L, 1L, 1L, 1L)), class = c("grouped_df",
"tbl_df", "tbl", "data.frame"), row.names = c(NA, -6L), groups = structure(list(
YEAR = 1990L, MONTH = "APR", LAT = 35.25, LON = -78.75, .rows = structure(list(
1:6), ptype = integer(0), class = c("vctrs_list_of",
"vctrs_vctr", "list"))), class = c("tbl_df", "tbl", "data.frame"
), row.names = c(NA, -1L), .drop = TRUE))
Please let me know if I need to include any more information!