Time Series Viewer (2024)

General Information

Charts

Options/Settings

Cloud Information

Precipitation

Snow

Download Data

Contact

By default, this page will load with all station data collected in the last 72 hours, with the station identifier as the "site" variable in the URL

Example: https://www.weather.gov/wrh/timeseries?site=kslc

If the station reports Temperature, Relative Humidity, or Dew Point Temperature, a chart will be available with those elements to examine.

Below the chart, a table will appear with 72 hours worth of data from that station. Hovering over certain headings will reveal a "magnifying glass" cursor. That means that if you click on that heading, data for that element will load into the chart. Note: Data availability varies by station.

Pages With and Without Chart

Time Series Viewer (1) Time Series Viewer (2)

The default station chart contains Temperature, Dew Point Temperature, and Relative Humidity. If a station has not reported any of those elements during the requested period, no chart will be available.

The chart has a limitation where 1000 data points per element can be displayed. For longer duration datasets, with multiple reports per hour, this will exceed the charting capability. Therefore, data will be trimmed when it exceeds 1000 datapoints, and will then display every 2nd, 3rd, etc point. If you require high resolution charts, the "Historical Data" option will be helpful.

  • Example 1: A NWS ASOS reports 12 - 13 times an hour. After 76 hours, data will be trimmed in the chart.
  • Example 2: A station that reports 4 times an hour will begin trimming data after 250 hours.

To view charts for additional elements, using a mouse, move the cursor over the element headings. If a "magnifying glass" cursor appears, it means that if you click on that heading, data for that element will load into the chart. See image below.

The following weather elements are available for viewing in a chart. Note: Data availability varies by station.

  • Temperature
  • Dew Point Temperature
  • Relative Humidity
  • Wind Chill
  • Wind Direction
  • Wind Speed and Gusts
  • Fuel Temperature
  • Fuel Moisture
  • Sea Level Pressure
  • Altimeter Setting
  • Station Pressure
  • Solar Radiation
  • Soil Temperature
  • Road Temperature
  • Road Sub-Surface Temperature
  • Accumulated Precipitation
  • One Minute Precipitation
  • Five Minute Precipitation
  • Ten Minute Precipitation
  • Fifteen Minute Precipitation
  • Thirty Minute Precipitation
  • One Hour Precipitation
  • Snow Depth
  • Snow Interval
  • Snow-Water Equivalent
  • Water Temperature
Mouse over Chart Headings to reveal Magnifying Glass, Then Click for Chart

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Clicking the "Settings" icon will open an area where you can select different viewing parameters.

  • Units of measurement: toggle between "standard (with speeds in mph)", "standard (with speeds in knots)" and "metric" measurements.
  • Number of hours: Up to 720 hours (30 days) of data can be displayed on this page.
  • Page Headers: Select how much of the "top" of the page you'd like to see.
  • See Chart: Toggle "on" or "off" the data chart
  • Gather Historical Data: When "On" is checked, you will be able to select the starting and ending dates you are interested in getting data for (limit of 30 days)
  • Observation Type: The page will display coded Meteorological Aerodrome Reports (METAR), and Special Reports (SPECI). See how to decode METARs here
  • Hourly Data: By default, the page will display all data for a given time period. If "Yes" is checked, the page will only display data where the observation time stamp has between "51" and "59" in the minutes field for NWS/FAA observation platforms (to include any "SPECI" observations/data - with the date&time stamp highlighted in yellow), and between "56" and "04" for all other platforms.
    • If the station is a federally owned ASOS/AWOS, METAR and SPECI data will be included.
    • SPECI data will have a bold timestamp and be highlighted in yellow. See image below.
  • Precip View: This will select how the calculated precipitation values fill in 1, 3, 6, and 24 hour fields in a row of data.
    • "Full" will populate out each row with 1, 3, 6, and 24 hour data. Note: This takes longer to load.
    • "Standard" will populate lines rows are aligned with times corresponding to 1, 3, 6, and 24 hour data
    • "Measured" will NOT populate 1, 3, 6, and 24 hour data. This will simply display the value reported by the sensor.
  • Apply Settings: When you click this button, the page will refresh with the options you selected. The URL in the web browser address bar has those options "built in", so the format can be saved/bookmarked.
Hourly ASOS data with "Special" Observations

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How Clouds are Measured

Cloud height sensors can measure clouds up to 12,000 feet above the ground, when the cloud is directly above the sensor.

This limitation can result in "Clear" conditions being reported, when clouds are above 12,000 feet.

At major airports, this information can be augmented by a trained observer, who can also determine heights greater than 12,000 feet.

Decoding Cloud Information:

  • Up to 3 layers (the lowest 3 layers) of clouds can be reported.
  • The first 3 letters of a cloud group describe the amount of sky coverage. The last 3 numbers indicate the base of that layer, above the ground x 100 feet.
  • SKC: Sky Clear.
  • CLR: No clouds below 12,000 feet above ground level, as detected by automatic equipment.
  • FEW: Few Clouds - Between 1/8 and 2/8 of the sky is covered by clouds.
  • SCT: Scattered Clouds - Between 3/8 and 4/8 of the sky is covered by clouds.
  • BKN: Broken Clouds - Between 5/8 and 7/8 of the sky is covered by clouds.
  • OVC: Overcast - 8/8 of the sky is covered by clouds.
  • VV: Vertical Visibility - An indefinite cloud ceiling caused by fog, rain, snow, etc.
Decoding Cloud Data

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Precipitation (precip) can be measured 2 different ways: Using a weighing mechanism, or by using a tipper.

  • When a weighing mechanism is used, precipitation (rain, or snow) will be stored in a bucket, and an electronic scale is used to convert the weight to a value. Accumulated Precipitation is reported.
  • When a tipper is used, liquid precipitation (rain or melted snow) gathers in a small measuring cup that looks like a see-saw. Each time it fills up, the see-saw tips, and that action is recorded as 0.01 inches of precipitation. The number of tips over the recording period results in the value displayed.

Precipitation is reported in 5, 10, 15, 30, or 1 hour increments. Values for 3, 6, or 24 hour precipitation are extrapolated from those reports, and are displayed hourly, or every 3, 6, or 12 hours (for 24 hour precip).

If a station reports precipitation, the "top line" of data will always include precip over the last 1, 3, 6, and 24 hours, relative to that time.

Explanation of 1, 3, 6 and 24 hour Totals

Time Series Viewer (6)

Snow depth is generally measured by probes mounted above a surface. They measure the distance between the probe and a surface. As snow accumulates or melts/blows away, that measurement will change.

"Snowfall" calculations are made by taking the snow depth measurement at a given time, and subtracting the snow depth from 3, 6, or 24 hours previous to time the current snow depth value was recorded. Negative values are not recorded.

If a station reports snow depth, the "top line" of data will always include snowfall over the last 1, 3, 6, and 24 hours, relative to that time.

Explanation of 3, 6 and 24 Hour Snowfall

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Data can be downloaded by clicking the 3 lines in hte upper right corner of the chart, and clicking "Download CSV or Download XLS"

Example of Downloading Data

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If you notice data inconsistencies, or errors with this page, do not report those to us. Data is provided to this page through many different entities, and the maintainers of this page are not in contact with those entities. Your best course of action with regard to data accuracy may be to contact the local NWS office where this station lies. In some cases, they MAY be able to contact the responsible party. Refer to the image below. The NWS office under which the station is installed is available by clicking the 3 letter identifier, and finding their contact information.

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Aside from issues referenced above, please provide feedback, or report issues with this page by sending email to wr.web.support@noaa.gov

If you're reporting an issue, it's helpful if you:

  • Include the URL you're noticing the issue with
  • Include the link from the page that "got you to" the URL above
  • Include a screen shot for display/graphical issues, if you can

Current Known Issues:

  • Hourly charts sometimes display "non-hourly" data
  • New November 3, 2022: Wind Data does not display on chart Fixed on Nov 28, 2022

Things We Are Exploring:

  • Issuing a cookie to preserve settings
  • Selecting certain charts to load by default
  • Selecting certain chart elements NOT be displayed on page refresh
  • Freezing the table header at the top of the page when scrolling
Time Series Viewer (2024)

FAQs

How much data is enough for time series? ›

For most time series applications, this means that the submitted data should have as many observations as the period of the maximum expected seasonality. For example, if you have daily sales data and you expect that it exhibits annual seasonality, you should have more than 365 data points to train a successful model.

Why time series analysis is difficult? ›

Why is working with time series data so difficult? Context-Dependent: What is considered "similar" in one application or under one set of conditions may not hold true in another. Human Bias: Often, the metrics used for similarity are chosen based on human intuition, which can introduce bias.

How many observations is good for time series? ›

many models require at least 50 observations for accurate estimation (McCleary et al., 1980, p. 20).” (Jebb et al., 2015, p. 3), “Most time-series experts suggest that the use of time-series analysis requires at least 50 observations in the time series.” (Warner, 1998, pp.

How do you solve time series problems? ›

A. To perform time series analysis, follow these steps: collect and preprocess data, visualize data for patterns, decompose the series into components, select and fit a model, validate the model, and make predictions based on the analysis.

What is the minimum sample size for a time series? ›

Hanke and Wichern that the sample size for time series should be at least 50. However, there is not a formula to determine the least sample size for time series. The important thing is to choose your sample points which might effect your time series trend correctly.

How much data is a 1 hour show? ›

Netflix: Standard definition uses 0.3 GB, HD uses 1 GB, Full HD uses 3 GB, and Ultra HD (4K) uses 7 GB. Peaco*ck: NBC suggests a minimum download speed of 2.5 Mbps for HD. Full HD (1080p) consumes 1.1GB per hour, while UHD (4K) uses 7 GB per hour.

How many observations is enough? ›

If you have more observations, the chance of getting the better result is higher. Good luck! Numerous researchers say that there should be at least 10 observations per variable. If we are using five independent variables, then a clear rule would be to have a minimum sample size of 50.

How do you know if you have enough data for your model? ›

The rule-of-thumb rule is that you need at least ten times as many data points as there are features in your dataset. For example, if your dataset has 10 columns or features, you should have at least 100 rows. The rule-of-thumb approach ensures that enough high-quality input exists.

What is the best visual for time series analysis? ›

A line graph is the simplest way to represent time series data.

What is the formula of time series? ›

(a) Y = T×S×C×I (multiplicative model) (b) Y = T+S+C+I (additive model) Note: In multiplicative models S,C and I indexes are expressed as decimal percents Where Y is the result of the four components. The trend is the long-term movement of a time series.

What are the disadvantages of time series analysis? ›

Disadvantages of time series analysis

It can suffer from generalization from a single study where more data points and models were warranted. Human error could misidentify the correct data model, which can have a snowballing effect on the output. It could also be difficult to obtain the appropriate data points.

What is time series analysis for beginners? ›

Time series analysis is a specific way of analyzing a sequence of data points collected over an interval of time. In time series analysis, analysts record data points at consistent intervals over a set period of time rather than just recording the data points intermittently or randomly.

How many GB does it take to watch a series? ›

According to Netflix, you use about 1GB of data per hour for streaming a TV show or movie in standard definition and up to 3GB of data per hour when streaming HD video. Nevertheless, you can change the data usage settings in your Netflix account to reduce the bandwidth Netflix uses and hence lower data consumption.

What is the minimum amount of data for Arima? ›

The Box and Jenkins ARIMA models were commonly used in these studies. The Box and Jenkins method typically recommends a minimum of 50 observations for an ARIMA model. This is recommended to cover seasonal variations and effects.

How much data is enough for sentiment analysis? ›

Task Complexity: If you are doing a simple task, like sentiment analysis or basic text classification, a few dozen articles might be enough. More complex tasks, like language translation or summarization, often require datasets on the scale of tens of thousands to millions.

How much data does it take to watch a 30 minute show? ›

Netflix
Video LengthResolutionData Required
30 Minute TV ShowSD/HD500MB/1.5GB
1 Hour TV Show/FilmSD/HD1GB/3GB
2 Hour FilmSD/HD2GB/6GB
3 Hour FilmSD/HD3GB/9GB
Sep 20, 2023

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