NOAA Global Historical Climatology Network

"station_id","date","tempAvg","tempMax","tempMin","precipitation","snowfall","snowDepth","percentDailySun","averageWindSpeed","maxWindSpeed","weatherType"
"AEM00041194","2022-07-30",347,0,308,0,0,0,0,0,0,0
"AEM00041194","2022-07-31",371,413,329,0,0,0,0,0,0,0
"AEM00041194","2022-08-01",384,427,357,0,0,0,0,0,0,0
"AEM00041194","2022-08-02",381,424,352,0,0,0,0,0,0,0

wget https://datasets-documentation.s3.eu-west-3.amazonaws.com/noaa/noaa_enriched.parquet

for i in {1900..2023}; do wget https://noaa-ghcn-pds.s3.amazonaws.com/csv.gz/${i}.csv.gz; done

$ clickhouse-local --query "SELECT * FROM '2021.csv.gz' LIMIT 10" --format PrettyCompact
┌─c1──────────┬───────c2─┬─c3───┬──c4─┬─c5───┬─c6───┬─c7─┬───c8─┐
│ AE000041196 │ 20210101 │ TMAX │ 278 │ ᴺᵁᴸᴸ │ ᴺᵁᴸᴸ │ S  │ ᴺᵁᴸᴸ │
│ AE000041196 │ 20210101 │ PRCP │   0 │ D    │ ᴺᵁᴸᴸ │ S  │ ᴺᵁᴸᴸ │
│ AE000041196 │ 20210101 │ TAVG │ 214 │ H    │ ᴺᵁᴸᴸ │ S  │ ᴺᵁᴸᴸ │
│ AEM00041194 │ 20210101 │ TMAX │ 266 │ ᴺᵁᴸᴸ │ ᴺᵁᴸᴸ │ S  │ ᴺᵁᴸᴸ │
│ AEM00041194 │ 20210101 │ TMIN │ 178 │ ᴺᵁᴸᴸ │ ᴺᵁᴸᴸ │ S  │ ᴺᵁᴸᴸ │
│ AEM00041194 │ 20210101 │ PRCP │   0 │ ᴺᵁᴸᴸ │ ᴺᵁᴸᴸ │ S  │ ᴺᵁᴸᴸ │
│ AEM00041194 │ 20210101 │ TAVG │ 217 │ H    │ ᴺᵁᴸᴸ │ S  │ ᴺᵁᴸᴸ │
│ AEM00041217 │ 20210101 │ TMAX │ 262 │ ᴺᵁᴸᴸ │ ᴺᵁᴸᴸ │ S  │ ᴺᵁᴸᴸ │
│ AEM00041217 │ 20210101 │ TMIN │ 155 │ ᴺᵁᴸᴸ │ ᴺᵁᴸᴸ │ S  │ ᴺᵁᴸᴸ │
│ AEM00041217 │ 20210101 │ TAVG │ 202 │ H    │ ᴺᵁᴸᴸ │ S  │ ᴺᵁᴸᴸ │
└─────────────┴──────────┴──────┴─────┴──────┴──────┴────┴──────┘

clickhouse local --query "SELECT count() 
FROM file('*.csv.gz', CSV, 'station_id String, date String, measurement String, value Int64, mFlag String, qFlag String, sFlag String, obsTime String') WHERE qFlag = '' AND (measurement IN ('PRCP', 'SNOW', 'SNWD', 'TMAX', 'TAVG', 'TMIN', 'PSUN', 'AWND', 'WSFG') OR startsWith(measurement, 'WT'))"

2679264563

"station_id","date","tempAvg","tempMax","tempMin","precipitation","snowfall","snowDepth","percentDailySun","averageWindSpeed","maxWindSpeed","weatherType"
"AEM00041194","2022-07-30",347,0,308,0,0,0,0,0,0,0
"AEM00041194","2022-07-31",371,413,329,0,0,0,0,0,0,0
"AEM00041194","2022-08-01",384,427,357,0,0,0,0,0,0,0
"AEM00041194","2022-08-02",381,424,352,0,0,0,0,0,0,0

for i in {1900..2022}
do
clickhouse-local --query "SELECT station_id,
       toDate32(date) as date,
       anyIf(value, measurement = 'TAVG') as tempAvg,
       anyIf(value, measurement = 'TMAX') as tempMax,
       anyIf(value, measurement = 'TMIN') as tempMin,
       anyIf(value, measurement = 'PRCP') as precipitation,
       anyIf(value, measurement = 'SNOW') as snowfall,
       anyIf(value, measurement = 'SNWD') as snowDepth,
       anyIf(value, measurement = 'PSUN') as percentDailySun,
       anyIf(value, measurement = 'AWND') as averageWindSpeed,
       anyIf(value, measurement = 'WSFG') as maxWindSpeed,
       toUInt8OrZero(replaceOne(anyIf(measurement, startsWith(measurement, 'WT') AND value = 1), 'WT', '')) as weatherType
FROM file('$i.csv.gz', CSV, 'station_id String, date String, measurement String, value Int64, mFlag String, qFlag String, sFlag String, obsTime String')
 WHERE qFlag = '' AND (measurement IN ('PRCP', 'SNOW', 'SNWD', 'TMAX', 'TAVG', 'TMIN', 'PSUN', 'AWND', 'WSFG') OR startsWith(measurement, 'WT'))
GROUP BY station_id, date
ORDER BY station_id, date FORMAT CSV" >> "noaa.csv";
done

wget http://noaa-ghcn-pds.s3.amazonaws.com/ghcnd-stations.txt

clickhouse local --query "WITH stations AS (SELECT id, lat, lon, elevation, splitByString(' GSN ',name)[1] as name FROM file('ghcnd-stations.txt', Regexp, 'id String, lat Float64, lon Float64, elevation Float32, name String'))
SELECT station_id,
       date,
       tempAvg,
       tempMax,
       tempMin,
       precipitation,
       snowfall,
       snowDepth,
       percentDailySun,
       averageWindSpeed,
       maxWindSpeed,
       weatherType,
       tuple(lon, lat) as location,
       elevation,
       name
FROM file('noaa.csv', CSV,
          'station_id String, date Date32, tempAvg Int32, tempMax Int32, tempMin Int32, precipitation Int32, snowfall Int32, snowDepth Int32, percentDailySun Int8, averageWindSpeed Int32, maxWindSpeed Int32, weatherType UInt8') as noaa LEFT OUTER
         JOIN stations ON noaa.station_id = stations.id INTO OUTFILE 'noaa_enriched.parquet' FORMAT Parquet SETTINGS format_regexp='^(.{11})\s+(\-?\d{1,2}\.\d{4})\s+(\-?\d{1,3}\.\d{1,4})\s+(\-?\d*\.\d*)\s+(.*)\s+(?:[\d]*)'" 

CREATE TABLE noaa
(
   `station_id` LowCardinality(String),
   `date` Date32,
   `tempAvg` Int32 COMMENT 'Average temperature (tenths of a degrees C)',
   `tempMax` Int32 COMMENT 'Maximum temperature (tenths of degrees C)',
   `tempMin` Int32 COMMENT 'Minimum temperature (tenths of degrees C)',
   `precipitation` UInt32 COMMENT 'Precipitation (tenths of mm)',
   `snowfall` UInt32 COMMENT 'Snowfall (mm)',
   `snowDepth` UInt32 COMMENT 'Snow depth (mm)',
   `percentDailySun` UInt8 COMMENT 'Daily percent of possible sunshine (percent)',
   `averageWindSpeed` UInt32 COMMENT 'Average daily wind speed (tenths of meters per second)',
   `maxWindSpeed` UInt32 COMMENT 'Peak gust wind speed (tenths of meters per second)',
   `weatherType` Enum8('Normal' = 0, 'Fog' = 1, 'Heavy Fog' = 2, 'Thunder' = 3, 'Small Hail' = 4, 'Hail' = 5, 'Glaze' = 6, 'Dust/Ash' = 7, 'Smoke/Haze' = 8, 'Blowing/Drifting Snow' = 9, 'Tornado' = 10, 'High Winds' = 11, 'Blowing Spray' = 12, 'Mist' = 13, 'Drizzle' = 14, 'Freezing Drizzle' = 15, 'Rain' = 16, 'Freezing Rain' = 17, 'Snow' = 18, 'Unknown Precipitation' = 19, 'Ground Fog' = 21, 'Freezing Fog' = 22),
   `location` Point,
   `elevation` Float32,
   `name` LowCardinality(String)
) ENGINE = MergeTree() ORDER BY (station_id, date);

INSERT INTO noaa FROM INFILE '<path>/noaa_enriched.parquet'

INSERT INTO noaa SELECT *
FROM s3('https://datasets-documentation.s3.eu-west-3.amazonaws.com/noaa/noaa_enriched.parquet', NOSIGN)

SELECT
    tempMax / 10 AS maxTemp,
    location,
    name,
    date
FROM blogs.noaa
WHERE tempMax > 500
ORDER BY
    tempMax DESC,
    date ASC
LIMIT 5

┌─maxTemp─┬─location──────────┬─name───────────────────────────────────────────┬───────date─┐
│    56.7 │ (-116.8667,36.45) │ CA GREENLAND RCH                               │ 1913-07-10 │
│    56.7 │ (-115.4667,32.55) │ MEXICALI (SMN)                                 │ 1949-08-20 │
│    56.7 │ (-115.4667,32.55) │ MEXICALI (SMN)                                 │ 1949-09-18 │
│    56.7 │ (-115.4667,32.55) │ MEXICALI (SMN)                                 │ 1952-07-17 │
│    56.7 │ (-115.4667,32.55) │ MEXICALI (SMN)                                 │ 1952-09-04 │
└─────────┴───────────────────┴────────────────────────────────────────────────┴────────────┘

5 rows in set. Elapsed: 0.514 sec. Processed 1.06 billion rows, 4.27 GB (2.06 billion rows/s., 8.29 GB/s.)

SELECT
   resort_name,
   total_snow / 1000 AS total_snow_m,
   resort_location,
   month_year
FROM
(
   WITH resorts AS
       (
           SELECT
               resort_name,
               state,
               (lon, lat) AS resort_location,
               'US' AS code
           FROM url('https://gist.githubusercontent.com/gingerwizard/dd022f754fd128fdaf270e58fa052e35/raw/622e03c37460f17ef72907afe554cb1c07f91f23/ski_resort_stats.csv', CSVWithNames)
       )
   SELECT
       resort_name,
       highest_snow.station_id,
       geoDistance(resort_location.1, resort_location.2, station_location.1, station_location.2) / 1000 AS distance_km,
       highest_snow.total_snow,
       resort_location,
       station_location,
       month_year
   FROM
   (
       SELECT
           sum(snowfall) AS total_snow,
           station_id,
           any(location) AS station_location,
           month_year,
           substring(station_id, 1, 2) AS code
       FROM noaa
       WHERE (date > '2017-01-01') AND (code = 'US') AND (elevation > 1800)
       GROUP BY
           station_id,
           toYYYYMM(date) AS month_year
       ORDER BY total_snow DESC
       LIMIT 1000
   ) AS highest_snow
   INNER JOIN resorts ON highest_snow.code = resorts.code
   WHERE distance_km < 20
   ORDER BY
       resort_name ASC,
       total_snow DESC
   LIMIT 1 BY
       resort_name,
       station_id
)
ORDER BY total_snow DESC
LIMIT 5

┌─resort_name──────────┬─total_snow_m─┬─resort_location─┬─month_year─┐
│ Sugar Bowl, CA       │        7.799 │ (-120.3,39.27)  │     201902 │
│ Donner Ski Ranch, CA │        7.799 │ (-120.34,39.31) │     201902 │
│ Boreal, CA           │        7.799 │ (-120.35,39.33) │     201902 │
│ Homewood, CA         │        4.926 │ (-120.17,39.08) │     201902 │
│ Alpine Meadows, CA   │        4.926 │ (-120.22,39.17) │     201902 │
└──────────────────────┴──────────────┴─────────────────┴────────────┘

5 rows in set. Elapsed: 0.750 sec. Processed 689.10 million rows, 3.20 GB (918.20 million rows/s., 4.26 GB/s.)
Peak memory usage: 67.66 MiB.