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Using a manually downloaded CIMIS CSV with TrackTrap

When to use this

Use weather_source = "cimis_csv" when you want ground truth station data instead of a gridded product (Daymet/Open-Meteo), or when you are working offline with pre-defined weather data.

1. Download the report

At the CIMIS website: Reports > select your station > report type Daily > units English (°F) > export as CSV. The file will include Date, Max Air Temp (F), and Min Air Temp (F).

2. Know how `read.csv()` renames columns

read.csv() censors headers: Max Air Temp (F) becomes Max.Air.Temp..F., and Min Air Temp (F) becomes Min.Air.Temp..F. — exactly the names calc_pest_phenology() expects.

names(read.csv("my_station_daily.csv"))
#> [1] "Date" "Max.Air.Temp..F." "Min.Air.Temp..F." ...

3. Confirm the date format

CIMIS exports dates as MM/DD/YYYY.

4. Run `calc_pest_phenology()`

Set weather_source = "cimis_csv" exactly (not "cimis"). lat/lon are ignored in this mode since the station location is already implied in the file.

library(TrackTrap)

trap_df <- data.frame(
  date = as.Date(c("2024-04-01", "2024-04-08", "2024-04-15", "2024-04-22")),
  trap_counts = c(0, 0, 3, 9)
)

result <- calc_pest_phenology(
  trap_df, pest = "OLFF",
  weather_source = "cimis_csv",
  cimis_csv_path = "my_station_daily.csv"
)

5. Plot it

plot_phenology_trend(result)

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