Parse NOAA Integrated Surface Data Files
Documentation at https://docs.ropensci.org/isdparser
isdparser
is a parser for ‘NOAA’ Integrated Surface Data (‘ISD’) files, described at https://www.ncdc.noaa.gov/isd. ISD includes numerous parameters such as wind speed and direction, wind gust, temperature, dew point, cloud data, sea level pressure, altimeter setting, station pressure, present weather, visibility, precipitation amounts for various time periods, snow depth, and various other elements as observed by each station. Data is stored as variable length ASCII character strings, with most fields optional. Included are tools for parsing entire files, or individual lines of data.
ISD is a global database, with data from approximately 35,000 stations worldwide, though the best spatial coverage is evident in North America, Europe, Australia, and parts of Asia. Coverage in the Northern Hemisphere is better than the Southern Hemisphere, and the overall period of record is currently 1901 to present.
Code liberated from rnoaa
to focus on ISD parsing since it’s sorta complicated. Has minimal dependencies, so you can parse your ISD/ISH files without needing the deps that rnoaa
needs. Will be used by rnoaa
once on CRAN.
Documentation at ftp://ftp.ncdc.noaa.gov/pub/data/noaa/ish-format-document.pdf
isd_parse()
- parse all lines in a file, with parallel optionisd_parse_line()
- parse a single line - you choose which lines to parse and how to apply the function to your linesisd_transform()
- transform ISD data variablesisd_parse_csv()
- parse csv format filesisd_parse_csv()
parses NOAA ISD csv files, whereas isd_parse()
and isd_parse_line()
both handle compressed files where each row of data is a string that needs to be parsed.
isd_parse_csv()
is faster than isd_parse()
because parsing each line takes some time - although using isd_parse(parallel = TRUE)
option gets closer to the speed of isd_parse_csv()
.
CRAN stable version
Dev version
Using a csv file included in the package:
path <- system.file('extdata/00702699999.csv', package = "isdparser")
isd_parse_csv(path)
#> # A tibble: 6,843 x 68
#> station date source latitude longitude elevation name
#> <int> <dttm> <int> <dbl> <dbl> <dbl> <chr>
#> 1 7.03e8 2017-02-10 14:04:00 4 0 0 7026 WXPO…
#> 2 7.03e8 2017-02-10 14:14:00 4 0 0 7026 WXPO…
#> 3 7.03e8 2017-02-10 14:19:00 4 0 0 7026 WXPO…
#> 4 7.03e8 2017-02-10 14:24:00 4 0 0 7026 WXPO…
#> 5 7.03e8 2017-02-10 14:29:00 4 0 0 7026 WXPO…
#> 6 7.03e8 2017-02-10 14:34:00 4 0 0 7026 WXPO…
#> 7 7.03e8 2017-02-10 14:39:00 4 0 0 7026 WXPO…
#> 8 7.03e8 2017-02-10 14:44:00 4 0 0 7026 WXPO…
#> 9 7.03e8 2017-02-10 14:49:00 4 0 0 7026 WXPO…
#> 10 7.03e8 2017-02-10 14:54:00 4 0 0 7026 WXPO…
#> # … with 6,833 more rows, and 61 more variables: report_type <chr>,
#> # call_sign <int>, quality_control <chr>, wnd <chr>, cig <chr>, vis <chr>,
#> # tmp <chr>, dew <chr>, slp <chr>, wind_direction <chr>,
#> # wind_direction_quality <chr>, wind_code <chr>, wind_speed <chr>,
#> # wind_speed_quality <chr>, ceiling_height <chr>,
#> # ceiling_height_quality <chr>, ceiling_height_determination <chr>,
#> # ceiling_height_cavok <chr>, visibility_distance <chr>,
#> # visibility_distance_quality <chr>, visibility_code <chr>,
#> # visibility_code_quality <chr>, temperature <chr>,
#> # temperature_quality <chr>, temperature_dewpoint <chr>,
#> # temperature_dewpoint_quality <chr>, air_pressure <chr>,
#> # air_pressure_quality <chr>, automated_atmospheric_condition_code <chr>,
#> # quality_automated_atmospheric_condition_code <chr>, coverage_code <chr>,
#> # coverage_quality_code <chr>, base_height_dimension <chr>,
#> # base_height_quality_code <chr>, cloud_type_code <chr>,
#> # cloud_type_quality_code <chr>, connective_cloud_attribute <chr>,
#> # vertical_datum_attribute <chr>, base_height_upper_range_attribute <chr>,
#> # base_height_lower_range_attribute <chr>, coverage <chr>,
#> # opaque_coverage <chr>, coverage_quality <chr>, lowest_cover <chr>,
#> # lowest_cover_quality <chr>, low_cloud_genus <chr>,
#> # low_cloud_genus_quality <chr>, lowest_cloud_base_height <chr>,
#> # lowest_cloud_base_height_quality <chr>, mid_cloud_genus <chr>,
#> # mid_cloud_genus_quality <chr>, high_cloud_genus <chr>,
#> # high_cloud_genus_quality <chr>, altimeter_setting_rate <chr>,
#> # altimeter_quality_code <chr>, station_pressure_rate <chr>,
#> # station_pressure_quality_code <chr>, speed_rate <chr>, quality_code <chr>,
#> # rem <chr>, eqd <chr>
path <- system.file('extdata/024130-99999-2016.gz', package = "isdparser")
isd_parse(path)
#> # A tibble: 2,601 x 38
#> total_chars usaf_station wban_station date time date_flag latitude
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 0054 024130 99999 2016… 0000 4 +60750
#> 2 0054 024130 99999 2016… 0100 4 +60750
#> 3 0054 024130 99999 2016… 0200 4 +60750
#> 4 0054 024130 99999 2016… 0300 4 +60750
#> 5 0054 024130 99999 2016… 0400 4 +60750
#> 6 0039 024130 99999 2016… 0500 4 +60750
#> 7 0054 024130 99999 2016… 0600 4 +60750
#> 8 0039 024130 99999 2016… 0700 4 +60750
#> 9 0054 024130 99999 2016… 0800 4 +60750
#> 10 0054 024130 99999 2016… 0900 4 +60750
#> # … with 2,591 more rows, and 31 more variables: longitude <chr>,
#> # type_code <chr>, elevation <chr>, call_letter <chr>, quality <chr>,
#> # wind_direction <chr>, wind_direction_quality <chr>, wind_code <chr>,
#> # wind_speed <chr>, wind_speed_quality <chr>, ceiling_height <chr>,
#> # ceiling_height_quality <chr>, ceiling_height_determination <chr>,
#> # ceiling_height_cavok <chr>, visibility_distance <chr>,
#> # visibility_distance_quality <chr>, visibility_code <chr>,
#> # visibility_code_quality <chr>, temperature <chr>,
#> # temperature_quality <chr>, temperature_dewpoint <chr>,
#> # temperature_dewpoint_quality <chr>, air_pressure <chr>,
#> # air_pressure_quality <chr>,
#> # AW1_present_weather_observation_identifier <chr>,
#> # AW1_automated_atmospheric_condition_code <chr>,
#> # AW1_quality_automated_atmospheric_condition_code <chr>, REM_remarks <chr>,
#> # REM_identifier <chr>, REM_length_quantity <chr>, REM_comment <chr>
process in parallel
isdparser
in R doing citation(package = 'isdparser')