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Decode multiple SYNOP messages

Source: R/decoder.R
show_synop_data.Rd

This function decodes a vector or data frame column of SYNOP strings belonging to the same or different meteorological surface station.

Usage

show_synop_data(data, wmo_identifier = NULL, remove_empty_cols = TRUE)

Arguments

data

A character vector, a data frame column containing raw SYNOP strings, or the exact data frame returned by parse_ogimet().

wmo_identifier

A 5-digit character string or integer representing the station WMO ID. If NULL (default), all messages are decoded.

remove_empty_cols

Logical. Should columns containing only NA values be removed? Default is TRUE.

Value

A data frame where each row represents one observation time and each column a decoded meteorological variable.

  1. wmo_id - WMO station identifier

  2. Year - (from parse_ogimet())

  3. Month - (from parse_ogimet())

  4. Day - As informed by Section 0

  5. Hour - As informed by Section 0

  6. Cloud_base_height - Lowest cloud base height, in intervals

  7. Visibility - In meters

  8. Total_cloud_cover - In oktas, 9 means 'invisible' sky by fog or other phenomenon

  9. Wind_direction - In tens of degree, 99 means 'variable wind direction'

  10. Wind_speed

  11. Wind_speed_unit - Either 'm/s' or 'knots'

  12. Air_temperature - In degrees Celsius

  13. Dew_point - In degrees Celsius

  14. Relative_humidity - As a percentage

  15. Station_pressure - In hPa

  16. MSLP_GH - Mean sea level pressure (in hPa) or geopotential height (in gpm)

  17. Pressure_tendency - In hPa

  18. Charac_pressure_tend - String, simplified decoding

  19. Precipitation_S1 - In mm

  20. Precip_period_S1 - In hours ('Precipitation_S1' fell in the last 'Precip_period_S1' hours)

  21. Present_weather - String, simplified decoding

  22. Past_weather1 - String, simplified decoding

  23. Past_weather2 - String, simplified decoding

  24. Cloud_amount_Nh - Cloud coverage from low or medium cloud, same as 'Total_cloud_cover'

  25. Low_clouds_CL - String, simplified decoding

  26. Medium_clouds_CM - String, simplified decoding

  27. High_clouds_CH - String, simplified decoding

  28. Max_temperature - In degrees Celsius

  29. Min_temperature - In degrees Celsius

  30. Ground_state - String, simplified decoding

  31. Ground_temperature - Integer, in degrees Celsius

  32. Snow_ground_state - String, simplified decoding

  33. Snow_depth - In cm

  34. Ev_Evt - Evaporation (ev) or evapotranspiration (evt), in mm

  35. Sunshine_daily - In hours (generally from the previous civil day)

  36. Positive_Net_Rad_last_24h - In J/cm^2

  37. Negative_Net_Rad_last_24h - In J/cm^2

  38. Global_Solar_Rad_last_24h - In J/cm^2

  39. Diffused_Solar_Rad_last_24h - In J/cm^2

  40. Downward_LongWave_Rad_last_24h - In J/cm^2

  41. Upward_LongWave_Rad_last_24h - In J/cm^2

  42. ShortWave_Rad_last_24h - In J/cm^2

  43. Net_ShortWave_Rad_last_24h - In J/cm^2

  44. Direct_Solar_Rad_last_24h - In J/cm^2

  45. Sunshine_last_hour - In hours

  46. Positive_Net_Rad_last_hour - In kJ/m^2

  47. Negative_Net_Rad_last_hour - In kJ/m^2

  48. Global_Solar_Rad_last_hour - In kJ/m^2

  49. Diffused_Solar_Rad_last_hour - In kJ/m^2

  50. Downward_LongWave_Rad_last_hour - In kJ/m^2

  51. Upward_LongWave_Rad_last_hour - In kJ/m^2

  52. ShortWave_Rad_last_hour - In kJ/m^2

  53. Net_ShortWave_Rad_last_hour - In kJ/m^2

  54. Direct_Solar_Rad_last_hour - In kJ/m^2

  55. Cloud_drift_direction - In cardinal and intercardinal directions for "low - medium - high" clouds

  56. Cloud_elevation_direction - String indicating genera, direction and elevation angle

  57. Pressure_change_last_24h - In hPa

  58. Precipitation_S3 - In mm

  59. Precip_period_S3 - In hours ('Precipitation_S3' fell in the last 'Precip_period_S3' hours)

  60. Precipitation_last_24h - In mm

  61. Cloud_layer_1 - String indicating cover, genera and height

  62. Cloud_layer_2 - String indicating cover, genera and height

  63. Cloud_layer_3 - String indicating cover, genera and height

  64. Cloud_layer_4 - String indicating cover, genera and height

Examples

msg <- paste0("AAXX 01123 87736 32965 13205 10214 20143 ",
              "30022 40113 5//// 80005 333 10236 20128 56000 81270=")
synop_df <- data.frame(messages = msg)
decoded_data <- show_synop_data(synop_df)