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Unit
Unit value
Time steps
Hourly
3 Hourly
6 Hourly
Daily
Time interpretation
Time interpretation value
Bits per value

The bitsPerValue determines the relative size of the data download required for each parameter. The bitsPerValue ranges from 1 to 20 bits for our current parameters.

Note the data download size is not a direct multiplier of the bitsPerValue as there are standard overheads within the generated GRIB files which are common for all parameters. However, the bitsPerValue is a good guide to the relative cost of each parameter.

The bits per value may differ across level types.
BitsPerValue value
Bits per value

The bitsPerValue determines the relative size of the data download required for each parameter. The bitsPerValue ranges from 1 to 20 bits for our current parameters.

Note the data download size is not a direct multiplier of the bitsPerValue as there are standard overheads within the generated GRIB files which are common for all parameters. However, the bitsPerValue is a good guide to the relative cost of each parameter.

The bits per value may differ across level types.

Level Type
Bits per value
Level Type
Level type value
Parameter ID
Parameter ID value

Application name

Your application name is used as a link to our gateway through which your API requests are processed. On subscription we automatically create an application for you with a default name. The application name has no bearing on how things are processed.

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By ordering products from the Met Office Weather DataHub and clicking “confirm”, you are agreeing to be bound by the Met Office Weather DataHub Terms and Conditions which apply to the order.

Should you wish to discuss licensing terms, then please call 0033 678 3454 or email licensing@metoffice.gov.uk

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About monthly data usage

API call plans

API call plans are managed using daily request limits. These limits reset each day at 00:00 (UTC).

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About monthly data usage

Data plans

All Atmospheric data plans are managed using gigabytes (GB). We use a base‑1024 conversion across all plans, meaning 1,024 GB is equivalent to 1 TB.

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About monthly data usage

Estimate monthly usage

Estimated order size if all selected data for all runs is taken based on an expected file size per parameter. Note this is a guide only and actual sizes for each parameter will vary.

Whilst every effort has been made to make the estimated file download sizes accurate customers should check the projected figures which are based on actual downloads as well as the estimated file sizes.

Usage this month

This figure is the actual data transferred for this calendar month so far.

Projected Monthly Usage

The projected monthly usage is calculated by:

  • retrieving the amount of data downloaded in the last 30 days
  • divide by the number of active days (>0 bytes downloaded) to get a daily average
  • multiply by the number of days in the current month for maximum monthly usage
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Order Naming

Note when used in the API the order name/ id is transformed by substituting spaces with hyphens and all letters are lowercase e.g. 'GLOBAL10k 12amRun' becomes 'global10k-12amrun'

For the avoidance of doubt the transformed order id to use in the API reproduced below in the Delivery section

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Taxpayer Identification Number (TIN)

The taxpayer identification number (TIN) is the unique identifier assigned to the Account Holder by the tax administration in the Account Holder’s jurisdiction of tax residence. It is a unique combination of letters and/or numbers used to identify an individual or entity for the purposes of administering the tax laws of that jurisdiction.

For more information, please see https://www.gov.uk/hmrc-internal-manuals/international-exchange-of-information/ieim402040

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How to create a deterministic forecast

For a deterministic forecast value, the 50th percentile, or median, may be used, which is the percentile which is, on average, closest to the observed value and hence provides the best deterministic-like forecast of the percentiles. This approach can be useful for presenting forecast values in a clear format, suitable for a webpage.

Steps to take

  1. Download Met Office Site-Specific Blended Probabilistic Forecast data for the desired weather parameters (e.g., cloud cover, temperature, etc.).
  2. Extract the 50th percentile (median) from the range of percentiles provided.

Considerations

Note that whilst a median can be used to provide a deterministic site forecast, if instead looking at data that represents spatial variation, e.g. gridded data, this is no longer the case for some diagnostics. For example, a 50th percentile gridded precipitation field does not show the spatial variation that would be expected, with some areas receiving heavier and others lighter precipitation. A 90th percentile gridded precipitation field may make it appear that all areas will receive significant precipitation all at once.