<p><a href="http://www.climdex.org/datasets.html">CLIMDEX</a>, the "Datasets for Indices of Climate Extremes" is probably the closest you are going to get, for any pre-computed indices. The 27 indices it includes are listed <a href="http://www.climdex.org/indices.html">on the indices page</a> of that site.</p>

<p>Unfortunately, it doesn't include anything like "coldest 3-day average per year", let alone "coldest 3-day average over the last 5 years". I doubt there would be any pre-built dataset with exactly that index, and there is unlikely to be online tool that would calculate unusual indices, because the data sets are <em>huge</em> (<a href="http://www.cru.uea.ac.uk/cru/data/temperature/">HadCRUt4</a> is 20MB for <em>monthly</em> data over the last 150 years), and unusual indices would have to be calculated on the fly - something that's just not feasible on the 'web.</p>

<p>I would guess that you'd have to calculate that yourself, from a raw daily temperature dataset. Unfortunately, I don't think such a thing exists on a global scale. However, a reanalysis product like the <a href="http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html">NCEP/NCAR Reanalysis</a> is probably good enough for your purposes. However, you'll need to be familiar with large data analysis - the daily surface temperature dataset is over 450MB. </p>

<p>Depending on your exact usage requirements, you might be better off just looking up some of the historical records for neighbouring meteorological stations and using those.</p>

CC BY-SA 3.0
2014-07-02T08:05:32.160Z
2014-07-02T08:05:32.160Z
naught101
<p>For Europe, I'd look into this dataset : <a href="http://onlinelibrary.wiley.com/doi/10.1029/2008JD010201/abstract">http://onlinelibrary.wiley.com/doi/10.1029/2008JD010201/abstract</a></p>

<p>This is a high-resolution gridded daily dataset derived from station data. However, this is a gridded dataset (25 km resolution) aimed at validation of Global Climate Model. So, depending on your need, this might be of help or not. if this kind of dataset suits your needs, you might also consider reanalysis such as GLDAS (0.25 degree resolution).</p>

CC BY-SA 3.0
2014-08-07T18:26:38.603Z
2014-08-07T18:26:38.603Z
Balinus
<p>I often need to calculate heat balances for large biogas plants, an important factor is outside temperature. I normally use the weather data from <a href="http://klimadiagramme.de/">Klimadiagramme.de</a> where I can find the mean monthly temperature and precipitation. This allows me to calculate the heat demand of my plant for a given month reasonably well. However, I also need to know extreme weather. I'm not sure what the metric here is, but I'm not looking for "the coldest night in the last 100 years" but "this was the coldest average over 2-3 days in the last x years" or something similiar. </p>

<p>So, what is a good, free source of climate data that gives me information about extreme weather events as described?</p>

CC BY-SA 3.0
2014-06-17T14:23:09.913Z
Worldwide, or for a specific country?  These things are likely country-dependent.
gerrit
CC BY-SA 3.0
2014-06-17T14:36:56.033Z
Ideally Europe and Asia,if no worldwide data-pool is available I might ask country by country.
mart
CC BY-SA 3.0
2014-06-17T14:38:32.370Z
I think this is going to be difficult.  It seems weatherspark.com has some information on extreme temperatures, but essential information is missing, so it's hard to use for any serious purpose.
gerrit
CC BY-SA 3.0
2014-06-18T01:01:06.460Z
would a gridded daily reanalysis dataset do? have you looked at http://fetchclimate2.cloudapp.net/ or http://daymet.ornl.gov/?
David LeBauer
CC BY-SA 3.0
2014-06-18T07:46:16.053Z
fetchclimate looks nice but does not do the averaging I need. I'm still looking at daymet, but that only seems to cover the US.
mart
CC BY-SA 3.0
2014-06-18T11:01:46.487Z
@gerrit actually to me weatherspark is the most promising, I get a range for the lowest temps. What's missing?
mart
CC BY-SA 3.0
2014-06-18T13:54:46.670Z
@mart It depends on your purpose.  I think weatherspark aggregates whatever data are available.  This means that for some stations, the extreme is taken for a 5-year period, whereas for others, it is for a 100-year period.  This means one should be careful in comparing extremes.
gerrit
<meteorology><climate><weather><open-data>
What is a source of worldwide temperature data that also includes extreme weather?
mart
# What is a source of worldwide temperature data that also includes extreme weather?

(Asked by: username_0 on 2014-06-17)

I often need to calculate heat balances for large biogas plants, an important factor is outside temperature. I normally use the weather data from [Klimadiagramme.de](http://klimadiagramme.de/) where I can find the mean monthly temperature and precipitation. This allows me to calculate the heat demand of my plant for a given month reasonably well. However, I also need to know extreme weather. I'm not sure what the metric here is, but I'm not looking for "the coldest night in the last 100 years" but "this was the coldest average over 2-3 days in the last x years" or something similiar.

So, what is a good, free source of climate data that gives me information about extreme weather events as described?

**Tags:** meteorology, climate, weather, open-data

> **Comments:**
> **username_1**: Worldwide, or for a specific country?  These things are likely country-dependent.  
> **username_0**: Ideally Europe and Asia,if no worldwide data-pool is available I might ask country by country.  
> **username_1**: I think this is going to be difficult.  It seems weatherspark.com has some information on extreme temperatures, but essential information is missing, so it's hard to use for any serious purpose.  
> **username_2**: would a gridded daily reanalysis dataset do? have you looked at http://fetchclimate2.cloudapp.net/ or http://daymet.ornl.gov/?  
> **username_0**: fetchclimate looks nice but does not do the averaging I need. I'm still looking at daymet, but that only seems to cover the US.  
> **username_0**: @username_1 actually to me weatherspark is the most promising, I get a range for the lowest temps. What's missing?  
> **username_1**: @username_0 It depends on your purpose.  I think weatherspark aggregates whatever data are available.  This means that for some stations, the extreme is taken for a 5-year period, whereas for others, it is for a 100-year period.  This means one should be careful in comparing extremes.  

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## 2 answers

### Answer by username_3 on 2014-07-02. Score: 6

[CLIMDEX](http://www.climdex.org/datasets.html), the "Datasets for Indices of Climate Extremes" is probably the closest you are going to get, for any pre-computed indices. The 27 indices it includes are listed [on the indices page](http://www.climdex.org/indices.html) of that site.

Unfortunately, it doesn't include anything like "coldest 3-day average per year", let alone "coldest 3-day average over the last 5 years". I doubt there would be any pre-built dataset with exactly that index, and there is unlikely to be online tool that would calculate unusual indices, because the data sets are *huge* ([HadCRUt4](http://www.cru.uea.ac.uk/cru/data/temperature/) is 20MB for *monthly* data over the last 150 years), and unusual indices would have to be calculated on the fly - something that's just not feasible on the 'web.

I would guess that you'd have to calculate that yourself, from a raw daily temperature dataset. Unfortunately, I don't think such a thing exists on a global scale. However, a reanalysis product like the [NCEP/NCAR Reanalysis](http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html) is probably good enough for your purposes. However, you'll need to be familiar with large data analysis - the daily surface temperature dataset is over 450MB.

Depending on your exact usage requirements, you might be better off just looking up some of the historical records for neighbouring meteorological stations and using those.


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### Answer by username_4 on 2014-08-07. Score: 6

For Europe, I'd look into this dataset : <http://onlinelibrary.wiley.com/doi/10.1029/2008JD010201/abstract>

This is a high-resolution gridded daily dataset derived from station data. However, this is a gridded dataset (25 km resolution) aimed at validation of Global Climate Model. So, depending on your need, this might be of help or not. if this kind of dataset suits your needs, you might also consider reanalysis such as GLDAS (0.25 degree resolution).


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