<p>Two approaches:</p>

<ol>
<li><p>Search tourist websites for the countries you are interested in. They very often have average data on temperature and rainfall by month.</p></li>
<li><p>Just Google <em>countryname monthly rainfall</em>. You may get general descriptions instead of hard (tabular) data, but since you only have to collect the data once, that's doable.</p></li>
</ol>

<p>But as you get from the comments below your post, how useful that data is remains doubtful.</p>

<p>As an example: The <a href="http://www.austria.org/climate/" rel="nofollow noreferrer">first hit</a> for the <a href="https://www.google.nl/search?q=austria+monthly+rainfall" rel="nofollow noreferrer">austria monthly rainfall</a> search says:</p>

<blockquote>
  <p>... <strong>altitude</strong> determines the precipitation pattern; while high-level areas in the Alps may have a high average rainfall in excess of 2000 mm per year, while some regions in the flatlands of Austria have only 600 mm annually.</p>
</blockquote>

<p><sup>(emphasis mine)</sup></p>

<p>Note that this page mentions the <a href="http://www.weatheronline.co.uk/reports/climate/" rel="nofollow noreferrer">WeatherOnline (UK) Climate of the world</a> page as its source. There you have descriptions for many countries.</p>

CC BY-SA 3.0
2017-12-21T08:40:03.787Z
2017-12-21T08:40:03.787Z
Jan Doggen
<p>I am developing a remote sensing model and I also want to consider the climate data.</p>

<p>My question is, how can I define a dry/wet season for a country like e.g. Austria?<br />
I have the weather data for three years and I would like to separate the dates into dry and wet.</p>

CC BY-SA 3.0
2017-11-28T12:14:27.210Z
Probably depends on your needs on how the dry/wetness affects remote sensing.
Communisty
CC BY-SA 3.0
2017-11-28T12:18:13.127Z
I am actually wanna study if there is a relation between my model( created from satellite data) and soil factors! do you think its right I only seperate rainy and not rainy days? Sorry if its stupid! I am not very much into this field
Oumnia Asadian
CC BY-SA 3.0
2017-11-28T12:29:52.657Z
So I'm guessing that your model detects soil moisture. Soil moisture isn't straightforward as it depends on how rainy has it been before, soil type, temperature (evaporation). Simplest way would be to say a day is wet if rain is recent and dry when it has been longer time from rain. Other factors that would make the guess better: different soil types hold water differently, the warmer it is the stronger is the evaporation.
Communisty
CC BY-SA 3.0
2017-11-28T12:40:39.220Z
No my model wanna detect the permenant soil factors( if actually can)
Oumnia Asadian
CC BY-SA 3.0
2017-11-28T12:46:22.530Z
Then why do you need wetness information?
Communisty
CC BY-SA 3.0
2017-11-28T13:07:44.880Z
I just want to have different climate change and see if there is a relation! so there no general way to define dry/ wet season in europe climate?
Oumnia Asadian
CC BY-SA 3.0
2017-11-28T13:18:16.443Z
As I understand it your model might or might not be sensitive to moisture of the soil as soil type is what it should detect. Climate here is the wrong term as it doesn't display short term variation of wetness (parameter of interest). You could just select rainy days as wet and unrainy as dry, but that isn't quite accurate description of wetness is it? As I suggested on previous comment you could take into account time from rain and temperature to make it more accurate.
Communisty
CC BY-SA 3.0
2017-11-28T13:18:57.933Z
Then you could compare if there in fact is a sensitivity to moisture in your model or not.
Communisty
CC BY-SA 3.0
2017-11-28T23:26:13.517Z
This question might not have an answer, since Austria is in a climate zone whose seasons are driven by temperature rather than rainfall.  Remote sensing is typically done in the winter when the leaves are off the trees.
Spencer
CC BY-SA 3.0
2017-11-29T08:13:08.180Z
ah I see, but in general I can take half years, April-September and October-March, right? I know got it that taking rainy days as wet season and not rainy for dry season is compelety wrong and not very scientific. But anywas thanks for your answers :)
Oumnia Asadian
CC BY-SA 3.0
2017-11-29T10:59:41.500Z
See [here](http://www.weatheronline.co.uk/reports/climate/Austria.htm). Rain is "quite evenly distributed over the entire year, but May, September and the first half of October tend to be the driest, April and November tend to be the wettest periods." Altitude also affects rainfall - higher regions have more rain. There is no wet or dry, just wetter or drier. Maybe you need to decide if rainfall below a certain value is classified as "dry".
Fred
CC BY-SA 3.0
2018-01-23T04:53:47.403Z
See also [this question](https://earthscience.stackexchange.com/questions/5082/algorithmically-determining-the-rainy-season/5086#5086).  Also I know you didn't get the best answer here, but please don't reask the same questions.  If one feels their post needs new attention, try editing it to add a more complete description of what you're doing.  But I do think you may not find people with enough specialism to answer your particular question, and agree with others; you can't force wet/dry seasons on regions that don't have them, and may be better suited to base it on actual rain events.
JeopardyTempest
<climate><seasons>
Defining dry/wet season in Europe
Oumnia Asadian
# Defining dry/wet season in Europe

(Asked by: username_0 on 2017-11-28)

I am developing a remote sensing model and I also want to consider the climate data.

My question is, how can I define a dry/wet season for a country like e.g. Austria?  
I have the weather data for three years and I would like to separate the dates into dry and wet.

**Tags:** climate, seasons

> **Comments:**
> **username_1**: Probably depends on your needs on how the dry/wetness affects remote sensing.  
> **username_0**: I am actually wanna study if there is a relation between my model( created from satellite data) and soil factors! do you think its right I only seperate rainy and not rainy days? Sorry if its stupid! I am not very much into this field  
> **username_1**: So I'm guessing that your model detects soil moisture. Soil moisture isn't straightforward as it depends on how rainy has it been before, soil type, temperature (evaporation). Simplest way would be to say a day is wet if rain is recent and dry when it has been longer time from rain. Other factors that would make the guess better: different soil types hold water differently, the warmer it is the stronger is the evaporation.  
> **username_0**: No my model wanna detect the permenant soil factors( if actually can)  
> **username_1**: Then why do you need wetness information?  
> **username_0**: I just want to have different climate change and see if there is a relation! so there no general way to define dry/ wet season in europe climate?  
> **username_1**: As I understand it your model might or might not be sensitive to moisture of the soil as soil type is what it should detect. Climate here is the wrong term as it doesn't display short term variation of wetness (parameter of interest). You could just select rainy days as wet and unrainy as dry, but that isn't quite accurate description of wetness is it? As I suggested on previous comment you could take into account time from rain and temperature to make it more accurate.  
> **username_1**: Then you could compare if there in fact is a sensitivity to moisture in your model or not.  
> **username_2**: This question might not have an answer, since Austria is in a climate zone whose seasons are driven by temperature rather than rainfall.  Remote sensing is typically done in the winter when the leaves are off the trees.  
> **username_0**: ah I see, but in general I can take half years, April-September and October-March, right? I know got it that taking rainy days as wet season and not rainy for dry season is compelety wrong and not very scientific. But anywas thanks for your answers :)  
> **username_3**: See [here](http://www.weatheronline.co.uk/reports/climate/Austria.htm). Rain is "quite evenly distributed over the entire year, but May, September and the first half of October tend to be the driest, April and November tend to be the wettest periods." Altitude also affects rainfall - higher regions have more rain. There is no wet or dry, just wetter or drier. Maybe you need to decide if rainfall below a certain value is classified as "dry".  
> **username_4**: See also [this question](https://earthscience.stackexchange.com/questions/5082/algorithmically-determining-the-rainy-season/5086#5086).  Also I know you didn't get the best answer here, but please don't reask the same questions.  If one feels their post needs new attention, try editing it to add a more complete description of what you're doing.  But I do think you may not find people with enough specialism to answer your particular question, and agree with others; you can't force wet/dry seasons on regions that don't have them, and may be better suited to base it on actual rain events.  

---

## 1 answers

### Answer by username_5 on 2017-12-21. Score: 1

Two approaches:

1. Search tourist websites for the countries you are interested in. They very often have average data on temperature and rainfall by month.
2. Just Google *countryname monthly rainfall*. You may get general descriptions instead of hard (tabular) data, but since you only have to collect the data once, that's doable.

But as you get from the comments below your post, how useful that data is remains doubtful.

As an example: The [first hit](http://www.austria.org/climate/) for the [austria monthly rainfall](https://www.google.nl/search?q=austria+monthly+rainfall) search says:

> ... **altitude** determines the precipitation pattern; while high-level areas in the Alps may have a high average rainfall in excess of 2000 mm per year, while some regions in the flatlands of Austria have only 600 mm annually.

(emphasis mine)

Note that this page mentions the [WeatherOnline (UK) Climate of the world](http://www.weatheronline.co.uk/reports/climate/) page as its source. There you have descriptions for many countries.


---

