[PORTABLE] Download Weather Station Data
Amelia Tapper
NCEI, the National Centers for Environmental Prediction (NCEP), and the GeophysicalFluid Dynamics Laboratory provide remote access to high-volume numerical weatherprediction and global climate models and data.
The Service Records Retention System (SRRS) stores weather observations, summaries,forecasts, warnings, and advisories provided by the U.S. National Weather Service(NWS) for public use. Congress mandates that NCEI store and retain SRRS productsfor a five-year period. SRRS records can be used for accident investigations andlitigations.
Weather Underground is a global community of people connecting data from environmental sensors like weather stations and air quality monitors so we can provide the rich, hyperlocal data you need to power your passions. The future of weather is personal, hyperlocal, and smarter than you think. Join our global community and contribute to the future of forecasting.
NCEI's land-based (in situ) datasets are developed from data collected across the United States and globally. Data availability varies by data type and station, and some have periods of record of more than a century. Any data product ordered from NCEI may be certified for court, but only the more commonly certified products can be certified for court online. For ordering certified copies of items where certifications are not offered online, please contact NCEI.
Long-term weather data provides important insights for the research conducted at Rice Creek. We record minute-by-minute data on air, soil, and water temperature as well as precipitation, soil moisture, barometric pressure, wind speed/direction, and other metrics.
Our current weather conditions and high-resolution archived data (2005 until present) are freely available. The current weather station is dedicated to Dr. Lucina Hernandez, past director of Rice Creek Field Station.
The weather station is located outside the main Field Station building, approximately 1.5 miles from the SUNY Oswego campus and the southern shoreline of Lake Ontario and approximately 3.25 miles west of the Oswego River.
We have four soil moisture sensors, ten inches under the soil, and two water temperature sensors, placed in December 2015. The water temperature sensors are labeled in the data tables as Soil Temp 1 and Soil Temp 2. The lower the reading, the higher the soil moisture content.
We would like to acknowledge Dr. Alfred Stamm's role in establishing the previous Rice Creek Field Station weather station, archiving the previous station data, and assisting during the installation of the current station. Our thanks also to Dr. Steve Skubis for helping establish the real-time/current Rice Creek weather station link.
View a PDF that provides a weekly summary of temperatures and rainfall from FAWN stations, a 6-10 day NWS temperature and rainfall outlook, and USDA crop progress and condition for various Florida crops.
We are glad to announce our new API version for managing your personal weather stations - Weather Stations API 3.0 (beta). It went through some essential changes in comparison with the previous version.
The main improvement is that users now have more flexible control of their stations and allowed to share and transfer data related to them. New API in RESTful style makes this process easy and convenient. In the previous version user's account was limited to single station, but with our new version users are allowed to add as many stations as they need.
We are launching the new API version in two stages. As for now you have the possibility to add and set up your meteorological stations using Weather Stations API 3.0 methods for stations management and measurements transmissions. In the nearest future we are planning to provide additional methods which will allow you to collect data from your stations for any period of time. Also we will add support for obtaining the aggregated information with various intervals (minute/hour/day). It'll be possible to receive aggregated history of measurements from your meteorological station for several years by a single query.
These are two methods necessary to start working with OpenWeatherMap service: creation of the station and measurements transfer. Access to full list of API methods requires you to pass your personal key in the query. When calling methods PUT and POST it's necessary to specify the header Content-Type: application/json
This method is used to register a station in the OpenWeatherMap service. You need to pass a set of parameters: external identifier, station name and its geographical arrangement. In case of successful creation method returns an HTTP code 201.
This method is used to transfer measurements collected from your station. Full description of possible data structures is provided below. Measurements are transferred in an array which allows to specify several data sets at once and to perform a postponed sending. In case of successful measurements dispatch method returns an HTTP code 204.
This method is used for receiving the aggregated measurements from the station. In total are supported 3 types of units - minute, hour and day. Thus, there is possible to query history of measurements from the station for any interval of time with the necessary specification.
The following parameters are mandatory in the request - an interval of measurements, the internal identifier of the station, type of the unit and the maximum number of records which can be returned. They are transferred in a line of GET-request as parameters.
This method is used to obtain the list of all stations added to your account with a standard set of attributes: external and internal identifiers, creation and update timestamps, name, geographical arrangement, height above sea level and station rank.
This method is used to get information about one station with a standard set of attributes: external and internal identifiers, creation and update timestamps, name, geographical arrangement, height above sea level and station rank.
This method is used to change information about the station. Parameters available for modification: external identifier, name, geographical arrangement, height above sea level. In case of successful change method returns an HTTP code 200.
This method is used to remove a station from your account. In case of successful removal method returns an HTTP code 204 (Successful answer). Be careful: after this operation all measurements received from the removed station are deleted permanently, so they couldn't be restored.
OpenWeather is a team of IT experts and data scientists that has been practising deep weather data science. For each point on the globe, OpenWeather provides historical, current and forecasted weather data via light-speed APIs. Headquarters in London, UK.
The data collected by these different AWS systems are in different formats and may sit on different computers. Although there are applications that come with each AWS network to access and visualize AWS data, access to the data is still done manually and station by station. This complicates data access, processing, and use.
In addition, data from the different AWS networks is in different formats, which makes it even more difficult to analyze all the data without additional tools or applications that can convert the data into a common format and combine the data from the different networks. As a result, accessing, processing, and using these data has been a major impediment to the use of data from these varieties of AWS.
The Automatic Weather Station Data Tool (ADT) is a web-based application developed to alleviate these and other related challenges with access and use of AWS data. ADT has an easy-to-use graphical user interface and enables NMS to access, process, quality control, analyze, visualize, and disseminate data from different AWS systems in one place.
The Hanford Meteorological Station is operated by Hanford Mission Integration Solutions for the U.S. Department of Energy. The HMS provides a range of Hanford Site weather forecast products, real-time meteorological data, and an extensive historical database of meteorological and climatological data. Meteorological measurements have been made at the HMS since late 1944.
The project operates the Hanford Meteorological Monitoring Network to measure, process, analyze, and archive a wide range of meteorological parameters from a variety of monitoring stations; including over 30 instrumented towers strategically placed around the Hanford Site and the surrounding region. Data collected at each monitoring site are transmitted to the HMS every 15 minutes. Among the parameters measured at each monitoring station are air wind direction, wind speed, and temperature. A number of the stations also monitor precipitation, atmospheric pressure, and humidity. Measurements are made at multiple levels on the 125-m (400-ft) and three 60-m (200-ft) tower sites in the monitoring network.
This website presents real-time meteorological data from the project's monitoring stations; daily, monthly, and annual weather summaries (including charts and tables); links to Hanford climatology reports; and a wealth of other data.
It is generally easy to obtain historic temperature, rainfall and snowfallinformation for specific locations in the U.S. In addition to thesebasic variables, it is sometimes possible to obtain other weatherinformation including humidity and winds. Some stations have hourlydata available though most have daily and monthly only. The placesto check are:
These are harder to obtain and some countries don't even give out their data for free. NCEImaintains data files for daily and monthly stationdata. Global extremes can be found here at NCEI and at Arizona State. Canadian climate data isavailable from the CMC. There are also available global gridded datasets (computer model and/orobservation) which have values for most regions.
Short-term weather forecasts areavailable through the National Weather Service. Long-term climate forecasts are also available (fromNOAA's CPC) including forecasts of temperature, precipitation and other variables for timeperiods of one or more months in the future. A list of El Niño forecasts isavailable from the PMEL El Niño theme page. PSL has some experimental forecasts we make available related to ourresearch.
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