Our new technology, Time Machine, has allowed us to enhance data in the Historical Weather Collection: historical weather data is now available for any coordinates and the depth of historical data has been extended to 40 years.
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.
I needed hourly historical data for my zip code for heat pump comparison. NOAA only had data for 2 cities in all of NY and neither were relevant. I tried to use one of them anyway and also found lots of -9999 temps in each year for which i assume is when there were outages. Also, the reports were in a horribly unusable format with space-aligned columns rather than using something more easily consumable like CSV.
It is a dataset of stations primarily within the United States. The earliest record begins in 1869, but the last record is from 1999. The dataset does contain daily minimum and maximum relative humidity values, and other measures of atmospheric moisture, including average wet-bulb temperature and average dew point temperature. Not every station in the dataset will have values for all the listed variables, but you may be able to find enough stations for your needs.
Linking historical weather data with tester profiles makes the process more efficient, accurate, and scalable. Brands can now search our community for testers who will experience rain in August, heavy snow in March, or warm temperatures in January.
Sponsor:USDAName:SNOTELURL: :SNOTEL is an automated system of snowpack and related climate sensors that conduct snow surveys for the purpose of water supply forecasting.How it works:There are over 600 SNOTEL sites in 13 states that measure snow water content, accumulated precipitation, and air temperature. Some sites also measure snow depth, soil moisture and temperature, wind speed, solar radiation, humidity, and atmospheric pressure.Application:SNOTEL data are used to forecast yearly water supplies, predict floods, and for general climate research.Preview:
Sponsor:USDAName:Soil Climate Analysis Network (SCAN)URL: :The Soil Climate Analysis Network consists of automated remote sites that focus on agricultural areas of the U.S. monitoring and collecting soil temperature and soil moisture content at several depths, soil water level, air temperature, relative humidity, solar radiation, wind, precipitation, barometric pressure, and more.How it works:Current network has over 150 stations in 39 states and other global locations that provide hourly data.Application:SCAN data are used by global climate modelers, soil scientists, ecologists, drought managers, and farmers to support various activities including soil surveys, water management and irrigation schedules, crop production models, planting schedules, and other natural resource management issues.Preview:
The standard provides dry-bulb, dew-point and wet-bulb temperatures; enthalpy; humidity ration; wind conditions; solar irradiation; latitude; longitude; and elevation for locations worldwide. Standard 169 also includes statistical data, such as mean temperatures; daily ranges; degree hours; and seasonal percentages within ranges of temperatures.
Have students list what they know about weather and climate. Explain that weather is the current atmospheric conditions, including temperature, rainfall, wind, and humidity. Climate is the usual weather conditions based on 30 years of averaged weather data for a location. Climate is what you expect. Weather is what actually happens.
The National Oceanic and Atmospheric Administration (NOAA) calculated apparent temperature for this indicator based on temperature and humidity measurements from long-term weather stations, which are generally located at airports. Figures 1 and 2 focus on the 50 most populous U.S. metropolitan areas that have recorded weather data from a consistent location without many missing days over the time period examined. The year 1961 was chosen as the starting point because most major cities have collected consistent data since at least that time.
The closest weather station isn't necessarily the best choice, because weather stations vary considerably in their data quality and coverage (the length of time covered by their historical records). Many stations in our system have a long history of reporting frequent, regular, accurate temperature readings, from which we can calculate high-quality degree days going back a long time. But lesser stations may have shorter data histories (e.g. because they were only set up recently), gaps and errors in their reporting, and less-than-ideal recording frequencies (for example, some only record the temperature every 6 hours or so, and some don't record at night).
There are lots of UK weather stations stored in our database. In our experience, searching for city name and country name together works well (e.g. \"London, UK\"). You can also search for UK postcodes.
You can also search for four-letter ICAO airport codes. Most airports have a weather station, and many have high-quality weather data going back a long time. WMO IDs work too, though for stations with both a WMO ID and an ICAO code, our system will use the ICAO code.
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:
The Weather Station Directory helps you to determine what historical weather observations are available for your area of interest. It will direct you to data if freely available online. Otherwise it will identify the station details for you to request the data.
Access historical weather, climate data, and related information for numerous locations across Canada. Temperature, precipitation, degree days, relative humidity, wind speed and direction, monthly summaries, averages, extremes and Climate Normals, are some of the information you will find on this site.
With our Weather API you can retrieve current weather observations from over 50,000 live weather stations, and historical weather data for the past 20+ years sourced from stations, doppler radar, satellite, and atmospheric re-analysis products. As well as highly localized weather forecasts for any point on the globe using the world's most trusted weather models!
One thing to keep in mind is that the \"H\" in GHCN stands for historical. This data is not real-time, and there's a time lag. For example, although I did this query on August 25, the latest data shown is from August 22.
Explore historical and projected climate data, climate data by sector, impacts, key vulnerabilities and what adaptation measures are being taken. Explore the overview for a general context of how climate change is affecting Zimbabwe.
This page presents Zimbabwe's climate context for the current climatology, 1991-2020, derived from observed, historical data. Information should be used to build a strong understanding of current climate conditions in order to appreciate future climate scenarios and projected change. You can visualize data for the current climatology through spatial variation, the seasonal cycle, or as a time series. Analysis is available for both annual and seasonal data. Data presentation defaults to national-scale aggregation, however sub-national data aggregations can be accessed by clicking within a country, on a sub-national unit. Other historical climatologies can be selected from the Time Period dropdown list. Data for specific coordinates can be downloaded for in the Data Download page. 1e1e36bf2d