100+ datasets found

  1. i04 CIMIS Weather Stations

    • data.ca.gov
    • data.cnra.ca.gov
    • +6more
    Updated May 29, 2025
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    California Department of Water Resources (2025). i04 CIMIS Weather Stations [Dataset]. https://data.ca.gov/dataset/i04-cimis-weather-stations
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    csv, arcgis geoservices rest api, html, zip, geojson, kmlAvailable download formats
    Dataset updated
    May 29, 2025
    Dataset authored and provided by
    California Department of Water Resourceshttp://www.water.ca.gov/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description
    The California Irrigation Management Information System (CIMIS) currently manages over 145 active weather stations throughout the state. Archived data is also available for 85 additional stations that have been disconnected from the network for various reasons. CIMIS stations provide hourly records of solar radiation, precipitation, air temperature, air humidity, and wind speed. Most of the CIMIS stations produce estimates of reference evapotranspiration (ETo) for the station location and their immediate surroundings, often in agricultural areas. The Department of Water Resources operates CIMIS as a free resource to help California to manage water resources more efficiently. CIMIS weather stations collect weather data on a minute-by-minute basis. Hourly data reflects the previous hour's 60 minutes of readings. Hourly and daily values are calculated and stored in the dataloggers. A computer at the DWR headquarters in Sacramento calls every station starting at midnight Pacific Standard Time (PST) and retrieves data at predetermined time intervals. At the time of this writing, CIMIS data is retrieved from the stations every hour. When there is a communication problem between the polling server and any given station, the server skips that station and calls the next station in the list. After all other stations have reported, the polling server again polls the station with the communication problem. The interrogation continues into the next day until all of the station data have been transmitted. CIMIS data processing involves checking the accuracy of the measured weather data for quality, calculating reference evapotranspiration (ETo/ETr) and other intermediate parameters, flagging measured and calculated parameters, and storing the data in the CIMIS database. Evapotranspiration (ET) is a loss of water to the atmosphere by the combined processes of evaporation from soil and plant surfaces and transpiration from plants. Reference evapotranspiration is ET from standardized grass or alfalfa surfaces over which the weather stations are sitting. The standardization of grass or alfalfa surfaces for a weather station is required because ET varies depending on plant (type, density, height) and soil factors and it is difficult, if not impossible, to measure weather parameters under all sets of conditions. Irrigators have to use crop factors, known as crop coefficients (Kc), to convert ET from the standardized reference surfaces into an actual evapotranspiration (ETc) by a specific crop. For more information go to https://cimis.water.ca.gov/.

    The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR Spatial Data Standards, specifically the DWR Spatial Data Standard version 3.3, dated April 13, 2022. DWR makes no warranties or guarantees —either expressed or implied — as to the completeness, accuracy, or correctness of the data. DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data. Comments, problems, improvements, updates, or suggestions should be forwarded to GIS@water.ca.gov.
  2. d

    CIMIS Weather Station Data

    • catalog.data.gov
    • data.cnra.ca.gov
    • +1more
    Updated Jul 24, 2025
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    California Department of Water Resources (2025). CIMIS Weather Station Data [Dataset]. https://catalog.data.gov/dataset/cimis-weather-station-data-4a563
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    Dataset updated
    Jul 24, 2025
    Dataset provided by
    California Department of Water Resources
    Description

    Weather Data collected by CIMIS automatic weather stations. The data is available in CSV format. Station data include measured parameters such as solar radiation, air temperature, soil temperature, relative humidity, precipitation, wind speed and wind direction as well as derived parameters such as vapor pressure, dew point temperature, and grass reference evapotranspiration (ETo).

  3. u

    PestCast Weather Station Data

    • data.ucar.edu
    • ckanprod.data-commons.k8s.ucar.edu
    ascii
    Updated Oct 7, 2025
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    Agriculture and Natural Resources (ANR), University of California (2025). PestCast Weather Station Data [Dataset]. http://doi.org/10.26023/1WT3-N8E9-EY0E
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    asciiAvailable download formats
    Unique identifier
    https://doi.org/10.26023/1WT3-N8E9-EY0E
    Dataset updated
    Oct 7, 2025
    Authors
    Agriculture and Natural Resources (ANR), University of California
    Time period covered
    Mar 1, 2006 - Apr 30, 2006
    Area covered
    Description

    This data set contains 15-min, hourly and daily resolution surface meteorological data from a number of stations in the California PestCast weather station network. PestCast is a project of the University of California Statewide IPM Program and the California Environmental Protection Agency Department of Pesticide Regulation. This data set includes all stations in the T-REX region that measured 15-min or hourly meteorological parameters. The daily stations in Inyo County are also included. The data are in comma-delimite ASCII.

  4. Minute Weather Data from weather station

    • kaggle.com
    zip
    Updated Oct 16, 2021
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    Muhammad Maaz (2021). Minute Weather Data from weather station [Dataset]. https://www.kaggle.com/muhammadmaaz2594/minute-weather-dataset-from-weather-station
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    zip(17120208 bytes)Available download formats
    Dataset updated
    Oct 16, 2021
    Authors
    Muhammad Maaz
    Description

    Dataset

    This dataset was created by Muhammad Maaz

    Contents

  5. A

    Weather station data acquired across multiple locations in the Teakettle...

    • data.amerigeoss.org
    • data.cnra.ca.gov
    • +2more
    csv, zip
    Updated Jul 28, 2019
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    United States (2019). Weather station data acquired across multiple locations in the Teakettle Experimental Forest, California, 2011-2017 [Dataset]. https://data.amerigeoss.org/nl/dataset/8d679cbf-e832-460c-8019-77153156d5d5
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    zip, csvAvailable download formats
    Dataset updated
    Jul 28, 2019
    Dataset provided by
    United States
    Area covered
    California
    Description

    These weather station records were collected as part of a larger study relating microclimates to tree seedling survival in southern California mountains. These weather station records are for studies at the Teakettle Experimental Forest (Lat 36.967, Long -119.017, elevation 2000-2800 m, www.fs.fed.us/psw/ef/teakettle/). Weather stations were located at six sites across the Teakettle Experimental Forest landscape. Sites were selected to sample topographic variation in surface and air temperatures within a narrow range of elevations on northeast to southwest-facing slopes, ridges, and valleys. Three full weather stations (north slope, south slope, and valley floor) monitored precipitation, wind, insolation, temperature, relative humidity, and soil moisture. Data were recorded on a 10-minute interval using HOBO (Onset, www.onsetcomp.com) devices.

  6. u

    CIMIS Weather Station Data

    • ckanprod.data-commons.k8s.ucar.edu
    • data.ucar.edu
    ascii
    Updated Oct 7, 2025
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    California Irrigation Management Information System (CIMIS) (2025). CIMIS Weather Station Data [Dataset]. http://doi.org/10.26023/ECJN-RTD9-020X
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    asciiAvailable download formats
    Unique identifier
    https://doi.org/10.26023/ECJN-RTD9-020X
    Dataset updated
    Oct 7, 2025
    Authors
    California Irrigation Management Information System (CIMIS)
    Time period covered
    Mar 1, 2006 - Apr 30, 2006
    Area covered
    Description

    This data set contains hourly resolution surface meteorological data from the California Irrigation Management Information System (CIMIS) weather stations. CIMIS is a program in the Office of Water Use Efficiency (OWUE) in the California Department of Water Resources. The network includes over 120 weather stations in the state of California. The data are in comma-delimited ASCII.

  7. d

    Olema Valley California

    • catalog.data.gov
    • data.ioos.us
    Updated Oct 26, 2025
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    Remote Automatic Weather Stations (RAWS) (Point of Contact) (2025). Olema Valley California [Dataset]. https://catalog.data.gov/dataset/olema-valley-california3
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    Dataset updated
    Oct 26, 2025
    Dataset provided by
    Remote Automatic Weather Stations (RAWS) (Point of Contact)
    Area covered
    Olema Valley, California
    Description

    Timeseries data from 'Olema Valley California' (raws_cacolv)

  8. Cedarville, California AgriMet Weather Station (CEDC) Daily Average Air...

    • data.usbr.gov
    Updated Oct 28, 2025
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    United States Bureau of Reclamation (2025). Cedarville, California AgriMet Weather Station (CEDC) Daily Average Air Temperature Time Series Data [Dataset]. https://data.usbr.gov/catalog/8191/item/129672
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    Dataset updated
    Oct 28, 2025
    Dataset authored and provided by
    United States Bureau of Reclamationhttp://www.usbr.gov/
    Time period covered
    Feb 14, 2015 - Mar 5, 2015
    Area covered
    Variables measured
    Air Temperature
    Description

    Cedarville, California AgriMet Weather Station (CEDC) average daily air temperature in degrees Fahrenheit (F).

  9. e

    Weather station data acquired across multiple locations in the foothills of...

    • portal.edirepository.org
    • data.cnra.ca.gov
    csv, zip
    Updated Feb 7, 2018
    + more versions
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    Frank Davis (2018). Weather station data acquired across multiple locations in the foothills of the Tehachapi mountains at Tejon Ranch, California, 2011-2017 [Dataset]. http://doi.org/10.6073/pasta/76e50739808f6427394ad11a39820442
    Explore at:
    csv(139102541 byte), csv(700 byte), zip(4542464 byte)Available download formats
    Unique identifier
    https://doi.org/10.6073/pasta/76e50739808f6427394ad11a39820442
    Dataset updated
    Feb 7, 2018
    Dataset provided by
    EDI
    Authors
    Frank Davis
    Time period covered
    Nov 7, 2011 - Jun 4, 2017
    Area covered
    Variables measured
    rh, ts, rain, datum, aspect, pos_id, elv_dem, elv_gps, latitude, qc_flags, and 16 more
    Description

    These weather station records were collected as part of a larger study relating microclimates to tree seedling survival in southern California mountains. These weather station records are for studies in the foothills of the Tehachapi mountains at Tejon Ranch (Lat 34.983, Long -118.716, elevation 750-930 m, www.tejonranch.com). Weather stations were located at six sites across the Tehachapi foothills. Sites were selected to sample topographic variation in surface and air temperatures within a narrow range of elevations on northeast to southwest-facing slopes, ridges, and valleys. Three full weather stations (north slope, south slope, and valley floor) monitored precipitation, wind, insolation, temperature, relative humidity, and soil moisture. Three micro stations (west slope, east slope, and ridge) measured soil moisture at -20 cm. Data was recorded on a 10-minute interval using HOBO (Onset, www.onsetcomp.com) devices.

  10. E

    Santa Rosa California

    • erddap.cencoos.org
    Updated Jun 5, 2017
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    Remote Automatic Weather Stations (RAWS) (2017). Santa Rosa California [Dataset]. https://erddap.cencoos.org/erddap/info/raws_cacsrs/index.html
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 5, 2017
    Dataset authored and provided by
    Remote Automatic Weather Stations (RAWS)
    Time period covered
    May 5, 2015 - Jun 5, 2017
    Area covered
    Variables measured
    z, time, station, latitude, longitude, wind_speed, battery_voltage, fuel_temperature, solar_irradiance, relative_humidity, and 22 more
    Description

    Timeseries data from 'Santa Rosa California' (raws_cacsrs) cdm_data_type=TimeSeries cdm_timeseries_variables=station,longitude,latitude contributor_email=feedback@axiomdatascience.com contributor_name=Axiom Data Science contributor_role=processor contributor_role_vocabulary=NERC contributor_url=https://www.axiomdatascience.com Conventions=IOOS-1.2, CF-1.6, ACDD-1.3, NCCSV-1.2 defaultDataQuery=air_temperature_cm_time_mean_over_pt24h,battery_voltage,wind_speed_qc_agg,relative_humidity_qc_agg,wind_speed_of_gust_qc_agg,air_temperature_cm_time_mean_over_pt24h_qc_agg,solar_irradiance,wind_speed_of_gust,fuel_temperature_qc_agg,lwe_thickness_of_precipitation_amount_qc_agg,fuel_temperature,wind_from_direction,wind_from_direction_qc_agg,battery_voltage_qc_agg,lwe_thickness_of_precipitation_amount,z,wind_speed,time,solar_irradiance_qc_agg,relative_humidity&time>=max(time)-3days Easternmost_Easting=-122.711944 featureType=TimeSeries geospatial_lat_max=38.478611 geospatial_lat_min=38.478611 geospatial_lat_units=degrees_north geospatial_lon_max=-122.711944 geospatial_lon_min=-122.711944 geospatial_lon_units=degrees_east geospatial_vertical_max=0.0 geospatial_vertical_min=0.0 geospatial_vertical_positive=up geospatial_vertical_units=m history=Downloaded from Remote Automatic Weather Stations (RAWS) at id=120917 infoUrl=https://sensors.ioos.us/#metadata/120917/station institution=Remote Automatic Weather Stations (RAWS) naming_authority=com.axiomdatascience Northernmost_Northing=38.478611 platform=fixed platform_name=Santa Rosa California platform_vocabulary=http://mmisw.org/ont/ioos/platform processing_level=Level 2 references=https://raws.dri.edu/cgi-bin/rawMAIN.pl?caCSRS,, sourceUrl=https://raws.dri.edu/cgi-bin/rawMAIN.pl?caCSRS Southernmost_Northing=38.478611 standard_name_vocabulary=CF Standard Name Table v72 station_id=120917 time_coverage_end=2017-06-05T19:00:00Z time_coverage_start=2015-05-05T14:00:00Z Westernmost_Easting=-122.711944

  11. E

    Yurok California

    • erddap.cencoos.org
    Updated Jun 2, 2017
    + more versions
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    Remote Automatic Weather Stations (RAWS) (2017). Yurok California [Dataset]. https://erddap.cencoos.org/erddap/info/raws_cacyur/index.html
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 2, 2017
    Dataset authored and provided by
    Remote Automatic Weather Stations (RAWS)
    Time period covered
    May 5, 2015 - Jun 2, 2017
    Area covered
    Variables measured
    z, time, station, latitude, longitude, wind_speed, air_pressure, fuel_moisture, battery_voltage, fuel_temperature, and 31 more
    Description

    Timeseries data from 'Yurok California' (raws_cacyur) cdm_data_type=TimeSeries cdm_timeseries_variables=station,longitude,latitude contributor_email=feedback@axiomdatascience.com contributor_name=Axiom Data Science contributor_role=processor contributor_role_vocabulary=NERC contributor_url=https://www.axiomdatascience.com Conventions=IOOS-1.2, CF-1.6, ACDD-1.3, NCCSV-1.2 defaultDataQuery=air_temperature_cm_time_mean_over_pt24h,battery_voltage,relative_humidity_qc_agg,wind_speed_of_gust_qc_agg,fuel_moisture,wind_speed_of_gust,fuel_moisture_qc_agg,lwe_thickness_of_precipitation_amount,wind_speed,dew_point_temperature,wind_speed_qc_agg,air_temperature_cm_time_mean_over_pt24h_qc_agg,solar_irradiance,fuel_temperature_qc_agg,lwe_thickness_of_precipitation_amount_qc_agg,fuel_temperature,wind_from_direction,wind_from_direction_qc_agg,battery_voltage_qc_agg,air_pressure_qc_agg,dew_point_temperature_qc_agg,z,time,solar_irradiance_qc_agg,relative_humidity,air_pressure&time>=max(time)-3days Easternmost_Easting=-123.8575 featureType=TimeSeries geospatial_lat_max=41.289722 geospatial_lat_min=41.289722 geospatial_lat_units=degrees_north geospatial_lon_max=-123.8575 geospatial_lon_min=-123.8575 geospatial_lon_units=degrees_east geospatial_vertical_max=0.0 geospatial_vertical_min=0.0 geospatial_vertical_positive=up geospatial_vertical_units=m history=Downloaded from Remote Automatic Weather Stations (RAWS) at id=120936 infoUrl=https://sensors.ioos.us/#metadata/120936/station institution=Remote Automatic Weather Stations (RAWS) naming_authority=com.axiomdatascience Northernmost_Northing=41.289722 platform=fixed platform_name=Yurok California platform_vocabulary=http://mmisw.org/ont/ioos/platform processing_level=Level 2 references=https://raws.dri.edu/cgi-bin/rawMAIN.pl?caCYUR,, sourceUrl=https://raws.dri.edu/cgi-bin/rawMAIN.pl?caCYUR Southernmost_Northing=41.289722 standard_name_vocabulary=CF Standard Name Table v72 station_id=120936 time_coverage_end=2017-06-02T17:00:00Z time_coverage_start=2015-05-05T13:00:00Z Westernmost_Easting=-123.8575

  12. E

    Spring Valley California

    • erddap.cencoos.org
    Updated Jun 5, 2017
    + more versions
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    Remote Automatic Weather Stations (RAWS) (2017). Spring Valley California [Dataset]. https://erddap.cencoos.org/erddap/info/raws_cacsva/index.html
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 5, 2017
    Dataset authored and provided by
    Remote Automatic Weather Stations (RAWS)
    Time period covered
    May 5, 2015 - Jun 5, 2017
    Area covered
    Variables measured
    z, time, station, latitude, longitude, wind_speed, battery_voltage, fuel_temperature, solar_irradiance, relative_humidity, and 22 more
    Description

    Timeseries data from 'Spring Valley California' (raws_cacsva) cdm_data_type=TimeSeries cdm_timeseries_variables=station,longitude,latitude contributor_email=feedback@axiomdatascience.com contributor_name=Axiom Data Science contributor_role=processor contributor_role_vocabulary=NERC contributor_url=https://www.axiomdatascience.com Conventions=IOOS-1.2, CF-1.6, ACDD-1.3, NCCSV-1.2 defaultDataQuery=air_temperature_cm_time_mean_over_pt24h,battery_voltage,wind_speed_qc_agg,relative_humidity_qc_agg,wind_speed_of_gust_qc_agg,air_temperature_cm_time_mean_over_pt24h_qc_agg,solar_irradiance,wind_speed_of_gust,fuel_temperature_qc_agg,lwe_thickness_of_precipitation_amount_qc_agg,fuel_temperature,wind_from_direction,wind_from_direction_qc_agg,battery_voltage_qc_agg,lwe_thickness_of_precipitation_amount,z,wind_speed,time,solar_irradiance_qc_agg,relative_humidity&time>=max(time)-3days Easternmost_Easting=-122.436389 featureType=TimeSeries geospatial_lat_max=37.5625 geospatial_lat_min=37.5625 geospatial_lat_units=degrees_north geospatial_lon_max=-122.436389 geospatial_lon_min=-122.436389 geospatial_lon_units=degrees_east geospatial_vertical_max=0.0 geospatial_vertical_min=0.0 geospatial_vertical_positive=up geospatial_vertical_units=m history=Downloaded from Remote Automatic Weather Stations (RAWS) at id=120992 infoUrl=https://sensors.ioos.us/#metadata/120992/station institution=Remote Automatic Weather Stations (RAWS) naming_authority=com.axiomdatascience Northernmost_Northing=37.5625 platform=fixed platform_name=Spring Valley California platform_vocabulary=http://mmisw.org/ont/ioos/platform processing_level=Level 2 references=https://raws.dri.edu/cgi-bin/rawMAIN.pl?caCSVA,, sourceUrl=https://raws.dri.edu/cgi-bin/rawMAIN.pl?caCSVA Southernmost_Northing=37.5625 standard_name_vocabulary=CF Standard Name Table v72 station_id=120992 time_coverage_end=2017-06-05T19:00:00Z time_coverage_start=2015-05-05T13:00:00Z Westernmost_Easting=-122.436389

  13. Cedarville, California AgriMet Weather Station (CEDC) Weather Monitoring...

    • data.usbr.gov
    Updated Oct 24, 2025
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    United States Bureau of Reclamation (2025). Cedarville, California AgriMet Weather Station (CEDC) Weather Monitoring Data from AgriMet Cooperative Agricultural Weather Network [Dataset]. https://data.usbr.gov/catalog/8191
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    Dataset updated
    Oct 24, 2025
    Dataset authored and provided by
    United States Bureau of Reclamationhttp://www.usbr.gov/
    Area covered
    Description

    AgriMet Cooperative Agricultural Weather Network Data for Cedarville, California AgriMet Weather Station (CEDC).

  14. Cedarville, California AgriMet Weather Station (CEDC) Intermittent Maximum...

    • data.usbr.gov
    Updated Oct 28, 2025
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    United States Bureau of Reclamation (2025). Cedarville, California AgriMet Weather Station (CEDC) Intermittent Maximum Wind Gust Speed Time Series Data [Dataset]. https://data.usbr.gov/catalog/8191/item/129685
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    Dataset updated
    Oct 28, 2025
    Dataset authored and provided by
    United States Bureau of Reclamationhttp://www.usbr.gov/
    Time period covered
    Jul 6, 2016 - Aug 11, 2016
    Area covered
    Variables measured
    Wind Gust Speed
    Description

    Cedarville, California AgriMet Weather Station (CEDC) maximum wind gust speed in miles per hour (mph) at irregular intervals.

  15. d

    CIMIS Weather Station & Spatial CIMIS Data - Web API

    • catalog.data.gov
    • data.ca.gov
    • +1more
    Updated Jul 24, 2025
    + more versions
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    California Department of Water Resources (2025). CIMIS Weather Station & Spatial CIMIS Data - Web API [Dataset]. https://catalog.data.gov/dataset/cimis-weather-station-spatial-cimis-data-web-api-f3e04
    Explore at:
    Dataset updated
    Jul 24, 2025
    Dataset provided by
    California Department of Water Resources
    Description

    CIMIS data is available to the public free of charge via a web Application Programming Interface (API). The CIMIS Web API delivers data over the REST protocol from an enterprise production platform. The system provides reference evapotranspiration (ETo) and weather data from the CIMIS Weather Station Network and the Spatial CIMIS System. Spatial CIMIS provides daily maps of ETo and solar radiation (Rs) data at 2-km grid by coupling remotely sensed satellite data with point measurements from the CIMIS weather stations. In summary, the data provided through the CIMIS Web API is comprised by a) Weather and ETo data registered at the CIMIS Weather Station Network (more than 150 stations located throughout the state of California and b) Spatial CIMIS System data that provides statewide ETo and solar radiation (Rs) data as well as aeraged ETo by zip-codes. The RESTful HTTP services reach a broader range of clients; including Wi-Fi aware irrigation smart controllers as well as browser and mobile applications, all while expanding the delivery options by providing data in either JSON or XML formats.

  16. E

    Cameron Fire Station California

    • erddap.sensors.ioos.us
    Updated Jun 5, 2017
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    Remote Automatic Weather Stations (RAWS) (2017). Cameron Fire Station California [Dataset]. http://erddap.sensors.ioos.us/erddap/info/raws_caccam/index.html
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 5, 2017
    Dataset authored and provided by
    Remote Automatic Weather Stations (RAWS)
    Time period covered
    May 5, 2015 - Jun 5, 2017
    Area covered
    Variables measured
    z, time, station, latitude, longitude, wind_speed, battery_voltage, fuel_temperature, solar_irradiance, relative_humidity, and 22 more
    Description

    Timeseries data from 'Cameron Fire Station California' (raws_caccam) cdm_data_type=TimeSeries cdm_timeseries_variables=station,longitude,latitude contributor_email=feedback@axiomdatascience.com contributor_name=Axiom Data Science contributor_role=processor contributor_role_vocabulary=NERC contributor_url=https://www.axiomdatascience.com Conventions=IOOS-1.2, CF-1.6, ACDD-1.3, NCCSV-1.2 defaultDataQuery=air_temperature_cm_time_mean_over_pt24h,battery_voltage,wind_speed_qc_agg,relative_humidity_qc_agg,wind_speed_of_gust_qc_agg,air_temperature_cm_time_mean_over_pt24h_qc_agg,solar_irradiance,wind_speed_of_gust,fuel_temperature_qc_agg,lwe_thickness_of_precipitation_amount_qc_agg,fuel_temperature,wind_from_direction,wind_from_direction_qc_agg,battery_voltage_qc_agg,lwe_thickness_of_precipitation_amount,z,wind_speed,time,solar_irradiance_qc_agg,relative_humidity&time>=max(time)-3days Easternmost_Easting=-116.463056 featureType=TimeSeries geospatial_lat_max=32.721389 geospatial_lat_min=32.721389 geospatial_lat_units=degrees_north geospatial_lon_max=-116.463056 geospatial_lon_min=-116.463056 geospatial_lon_units=degrees_east geospatial_vertical_max=0.0 geospatial_vertical_min=0.0 geospatial_vertical_positive=up geospatial_vertical_units=m history=Downloaded from Remote Automatic Weather Stations (RAWS) at id=122389 infoUrl=https://sensors.ioos.us/#metadata/122389/station institution=Remote Automatic Weather Stations (RAWS) naming_authority=com.axiomdatascience Northernmost_Northing=32.721389 platform=fixed platform_name=Cameron Fire Station California platform_vocabulary=http://mmisw.org/ont/ioos/platform processing_level=Level 2 references=https://raws.dri.edu/cgi-bin/rawMAIN.pl?caCCAM,, sourceUrl=https://raws.dri.edu/cgi-bin/rawMAIN.pl?caCCAM Southernmost_Northing=32.721389 standard_name_vocabulary=CF Standard Name Table v72 station_id=122389 time_coverage_end=2017-06-05T19:00:00Z time_coverage_start=2015-05-05T13:00:00Z Westernmost_Easting=-116.463056

  17. d

    Weather station data acquired across multiple locations on the San Joaquin...

    • search.dataone.org
    • data.cnra.ca.gov
    • +1more
    Updated Feb 9, 2018
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    Frank W Davis (2018). Weather station data acquired across multiple locations on the San Joaquin Experimental Range, California, 2011-2017 [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fedi%2F144%2F2
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    Dataset updated
    Feb 9, 2018
    Dataset provided by
    Environmental Data Initiative
    Authors
    Frank W Davis
    Time period covered
    Dec 6, 2011 - Apr 23, 2017
    Area covered
    Variables measured
    rh, ts, rain, datum, aspect, pos_id, elv_dem, elv_gps, latitude, qc_flags, and 16 more
    Description

    These weather station records were collected as part of a larger study relating microclimates to tree seedling survival in southern California mountains. These weather station records are for studies at the San Joaquin Experimental Range (Lat 37.083, Long -119.716, elevation 210-520 m, www.fs.fed.us/psw/ef/san_joaquin/). Weather stations were located at six sites across the landscape. Sites were selected to sample topographic variation in surface and air temperatures within a narrow range of elevations on northeast to southwest-facing slopes, ridges, and valleys. Three full weather stations (north slope, south slope, and valley floor) monitored precipitation, wind, insolation, temperature, relative humidity, and soil moisture. Three micro stations (west slope, east slope, and ridge) measured soil moisture at -20 cm. Data was recorded on a 10-minute interval using HOBO (Onset, www.onsetcomp.com) devices.

  18. E

    Wiley Ridge California

    • erddap.sensors.ioos.us
    Updated Jun 5, 2017
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    Remote Automatic Weather Stations (RAWS) (2017). Wiley Ridge California [Dataset]. http://erddap.sensors.ioos.us/erddap/info/raws_cacwil/index.html
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 5, 2017
    Dataset authored and provided by
    Remote Automatic Weather Stations (RAWS)
    Time period covered
    May 5, 2015 - Jun 5, 2017
    Area covered
    Variables measured
    z, time, station, latitude, longitude, wind_speed, battery_voltage, fuel_temperature, solar_irradiance, relative_humidity, and 22 more
    Description

    Timeseries data from 'Wiley Ridge California' (raws_cacwil) cdm_data_type=TimeSeries cdm_timeseries_variables=station,longitude,latitude contributor_email=feedback@axiomdatascience.com contributor_name=Axiom Data Science contributor_role=processor contributor_role_vocabulary=NERC contributor_url=https://www.axiomdatascience.com Conventions=IOOS-1.2, CF-1.6, ACDD-1.3, NCCSV-1.2 defaultDataQuery=air_temperature_cm_time_mean_over_pt24h,battery_voltage,wind_speed_qc_agg,relative_humidity_qc_agg,wind_speed_of_gust_qc_agg,air_temperature_cm_time_mean_over_pt24h_qc_agg,solar_irradiance,wind_speed_of_gust,fuel_temperature_qc_agg,lwe_thickness_of_precipitation_amount_qc_agg,fuel_temperature,wind_from_direction,wind_from_direction_qc_agg,battery_voltage_qc_agg,lwe_thickness_of_precipitation_amount,z,wind_speed,time,solar_irradiance_qc_agg,relative_humidity&time>=max(time)-3days Easternmost_Easting=-118.840833 featureType=TimeSeries geospatial_lat_max=34.371667 geospatial_lat_min=34.371667 geospatial_lat_units=degrees_north geospatial_lon_max=-118.840833 geospatial_lon_min=-118.840833 geospatial_lon_units=degrees_east geospatial_vertical_max=0.0 geospatial_vertical_min=0.0 geospatial_vertical_positive=up geospatial_vertical_units=m history=Downloaded from Remote Automatic Weather Stations (RAWS) at id=122581 infoUrl=https://sensors.ioos.us/#metadata/122581/station institution=Remote Automatic Weather Stations (RAWS) naming_authority=com.axiomdatascience Northernmost_Northing=34.371667 platform=fixed platform_name=Wiley Ridge California platform_vocabulary=http://mmisw.org/ont/ioos/platform processing_level=Level 2 references=https://raws.dri.edu/cgi-bin/rawMAIN.pl?caCWIL,, sourceUrl=https://raws.dri.edu/cgi-bin/rawMAIN.pl?caCWIL Southernmost_Northing=34.371667 standard_name_vocabulary=CF Standard Name Table v72 station_id=122581 time_coverage_end=2017-06-05T18:00:00Z time_coverage_start=2015-05-05T13:00:00Z Westernmost_Easting=-118.840833

  19. E

    Democrat California

    • erddap.sensors.ioos.us
    Updated Jun 3, 2017
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    Remote Automatic Weather Stations (RAWS) (2017). Democrat California [Dataset]. http://erddap.sensors.ioos.us/erddap/info/raws_cacdmc/index.html
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 3, 2017
    Dataset authored and provided by
    Remote Automatic Weather Stations (RAWS)
    Time period covered
    May 5, 2015 - Jun 3, 2017
    Area covered
    Variables measured
    z, time, station, latitude, longitude, wind_speed, fuel_moisture, battery_voltage, fuel_temperature, solar_irradiance, and 25 more
    Description

    Timeseries data from 'Democrat California' (raws_cacdmc) cdm_data_type=TimeSeries cdm_timeseries_variables=station,longitude,latitude contributor_email=feedback@axiomdatascience.com contributor_name=Axiom Data Science contributor_role=processor contributor_role_vocabulary=NERC contributor_url=https://www.axiomdatascience.com Conventions=IOOS-1.2, CF-1.6, ACDD-1.3, NCCSV-1.2 defaultDataQuery=air_temperature_cm_time_mean_over_pt24h,battery_voltage,wind_speed_qc_agg,relative_humidity_qc_agg,wind_speed_of_gust_qc_agg,air_temperature_cm_time_mean_over_pt24h_qc_agg,fuel_moisture,solar_irradiance,wind_speed_of_gust,fuel_temperature_qc_agg,lwe_thickness_of_precipitation_amount_qc_agg,fuel_temperature,wind_from_direction,wind_from_direction_qc_agg,fuel_moisture_qc_agg,battery_voltage_qc_agg,lwe_thickness_of_precipitation_amount,z,wind_speed,time,solar_irradiance_qc_agg,relative_humidity&time>=max(time)-3days Easternmost_Easting=-118.630278 featureType=TimeSeries geospatial_lat_max=35.531667 geospatial_lat_min=35.531667 geospatial_lat_units=degrees_north geospatial_lon_max=-118.630278 geospatial_lon_min=-118.630278 geospatial_lon_units=degrees_east geospatial_vertical_max=0.0 geospatial_vertical_min=0.0 geospatial_vertical_positive=up geospatial_vertical_units=m history=Downloaded from Remote Automatic Weather Stations (RAWS) at id=121266 infoUrl=https://sensors.ioos.us/#metadata/121266/station institution=Remote Automatic Weather Stations (RAWS) naming_authority=com.axiomdatascience Northernmost_Northing=35.531667 platform=fixed platform_name=Democrat California platform_vocabulary=http://mmisw.org/ont/ioos/platform processing_level=Level 2 references=https://raws.dri.edu/cgi-bin/rawMAIN.pl?caCDMC,, sourceUrl=https://raws.dri.edu/cgi-bin/rawMAIN.pl?caCDMC Southernmost_Northing=35.531667 standard_name_vocabulary=CF Standard Name Table v72 station_id=121266 time_coverage_end=2017-06-03T22:00:00Z time_coverage_start=2015-05-05T14:00:00Z Westernmost_Easting=-118.630278

  20. E

    Walker Pass California

    • erddap.sensors.ioos.us
    Updated Jun 5, 2017
    + more versions
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    Remote Automatic Weather Stations (RAWS) (2017). Walker Pass California [Dataset]. http://erddap.sensors.ioos.us/erddap/info/raws_cacwal/index.html
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 5, 2017
    Dataset authored and provided by
    Remote Automatic Weather Stations (RAWS)
    Time period covered
    May 5, 2015 - Jun 5, 2017
    Area covered
    Variables measured
    z, time, station, latitude, longitude, wind_speed, battery_voltage, fuel_temperature, solar_irradiance, relative_humidity, and 22 more
    Description

    Timeseries data from 'Walker Pass California' (raws_cacwal) cdm_data_type=TimeSeries cdm_timeseries_variables=station,longitude,latitude contributor_email=feedback@axiomdatascience.com contributor_name=Axiom Data Science contributor_role=processor contributor_role_vocabulary=NERC contributor_url=https://www.axiomdatascience.com Conventions=IOOS-1.2, CF-1.6, ACDD-1.3, NCCSV-1.2 defaultDataQuery=air_temperature_cm_time_mean_over_pt24h,battery_voltage,wind_speed_qc_agg,relative_humidity_qc_agg,wind_speed_of_gust_qc_agg,air_temperature_cm_time_mean_over_pt24h_qc_agg,solar_irradiance,wind_speed_of_gust,fuel_temperature_qc_agg,lwe_thickness_of_precipitation_amount_qc_agg,fuel_temperature,wind_from_direction,wind_from_direction_qc_agg,battery_voltage_qc_agg,lwe_thickness_of_precipitation_amount,z,wind_speed,time,solar_irradiance_qc_agg,relative_humidity&time>=max(time)-3days Easternmost_Easting=-118.056944 featureType=TimeSeries geospatial_lat_max=35.664722 geospatial_lat_min=35.664722 geospatial_lat_units=degrees_north geospatial_lon_max=-118.056944 geospatial_lon_min=-118.056944 geospatial_lon_units=degrees_east geospatial_vertical_max=0.0 geospatial_vertical_min=0.0 geospatial_vertical_positive=up geospatial_vertical_units=m history=Downloaded from Remote Automatic Weather Stations (RAWS) at id=122574 infoUrl=https://sensors.ioos.us/#metadata/122574/station institution=Remote Automatic Weather Stations (RAWS) naming_authority=com.axiomdatascience Northernmost_Northing=35.664722 platform=fixed platform_name=Walker Pass California platform_vocabulary=http://mmisw.org/ont/ioos/platform processing_level=Level 2 references=https://raws.dri.edu/cgi-bin/rawMAIN.pl?caCWAL,, sourceUrl=https://raws.dri.edu/cgi-bin/rawMAIN.pl?caCWAL Southernmost_Northing=35.664722 standard_name_vocabulary=CF Standard Name Table v72 station_id=122574 time_coverage_end=2017-06-05T20:00:00Z time_coverage_start=2015-05-05T13:00:00Z Westernmost_Easting=-118.056944

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California Department of Water Resources (2025). i04 CIMIS Weather Stations [Dataset]. https://data.ca.gov/dataset/i04-cimis-weather-stations
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i04 CIMIS Weather Stations

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csv, arcgis geoservices rest api, html, zip, geojson, kmlAvailable download formats
Dataset updated
May 29, 2025
Dataset authored and provided by
California Department of Water Resourceshttp://www.water.ca.gov/
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description
The California Irrigation Management Information System (CIMIS) currently manages over 145 active weather stations throughout the state. Archived data is also available for 85 additional stations that have been disconnected from the network for various reasons. CIMIS stations provide hourly records of solar radiation, precipitation, air temperature, air humidity, and wind speed. Most of the CIMIS stations produce estimates of reference evapotranspiration (ETo) for the station location and their immediate surroundings, often in agricultural areas. The Department of Water Resources operates CIMIS as a free resource to help California to manage water resources more efficiently. CIMIS weather stations collect weather data on a minute-by-minute basis. Hourly data reflects the previous hour's 60 minutes of readings. Hourly and daily values are calculated and stored in the dataloggers. A computer at the DWR headquarters in Sacramento calls every station starting at midnight Pacific Standard Time (PST) and retrieves data at predetermined time intervals. At the time of this writing, CIMIS data is retrieved from the stations every hour. When there is a communication problem between the polling server and any given station, the server skips that station and calls the next station in the list. After all other stations have reported, the polling server again polls the station with the communication problem. The interrogation continues into the next day until all of the station data have been transmitted. CIMIS data processing involves checking the accuracy of the measured weather data for quality, calculating reference evapotranspiration (ETo/ETr) and other intermediate parameters, flagging measured and calculated parameters, and storing the data in the CIMIS database. Evapotranspiration (ET) is a loss of water to the atmosphere by the combined processes of evaporation from soil and plant surfaces and transpiration from plants. Reference evapotranspiration is ET from standardized grass or alfalfa surfaces over which the weather stations are sitting. The standardization of grass or alfalfa surfaces for a weather station is required because ET varies depending on plant (type, density, height) and soil factors and it is difficult, if not impossible, to measure weather parameters under all sets of conditions. Irrigators have to use crop factors, known as crop coefficients (Kc), to convert ET from the standardized reference surfaces into an actual evapotranspiration (ETc) by a specific crop. For more information go to https://cimis.water.ca.gov/.

The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR Spatial Data Standards, specifically the DWR Spatial Data Standard version 3.3, dated April 13, 2022. DWR makes no warranties or guarantees —either expressed or implied — as to the completeness, accuracy, or correctness of the data. DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data. Comments, problems, improvements, updates, or suggestions should be forwarded to GIS@water.ca.gov.
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