Does Py-ART allows users to extract and analyze reflectivity values from radar data(RADOLAN), which can help in distinguishing between convective and stratiform precipitation?

Hello everyone,

My research is on “Identification of different precipitation types and its changes using high resolution Radolan data over Brandenburg, Germany”.

For that I have downloaded data from

can some expert here provide me with a step by step work flow on how to answer my research question?

@kmuehlbauer @mgrover1

@SandeepAllampalli while I am not able to go through a step-by-step of the methodology here, I would encourage you to check out the example @lauratomkins put together here looking at stratiform vs. convective precipitation

As well as some of the hydrometeor classification work added by the Meteoswiss/Meteofrance group in this example

I hope this helps!

Thank you for your reply @mgrover1. I wonder how do I get the reflectivity data for Germany? Is it freely available? From the above github repo I understand it’s not possible to classify precipitation as Convective/Stratiform using RADOLAN data(RW product which contains only one data variable rain rate). Correct me if I am wrong.

Hi @SandeepAllampalli , the radar data for Germany it is not freely available. You either have to be working in a project involving the DWD to get it for free or contact them and pay to have access. Either way it is quite a lengthy process.

Hi @JulianGiles , which radar data are you mentioning here? As I see some products of RADOLAN are open source (for example RW product). DO you mean for my above mentioned research, RADOLAN(RW) data is not sufficient?

I mean the raw radar data (reflectivity, ZDR, RHOHV, etc) is not freely open. I do not know of any methods for classifying precipitation types using only precipitation rates (like those from RADOLAN), you need the radar moments for that.

Yes, if you want to classify/extract precipitation types (hydrometeorclasses) then RADOLAN RW is not enough. You have at least these options:

  • Use the single radar polarimetric moments and derive hydrometeor-classification from those (data not open, only for reflectivity and doppler a short time archive exists)
  • Use products like RE (short-time open-data, no open data long time archive) Index of /weather/radar/radvor/ which at least contains the percentage of liquid/solid and a hail flag

If you want to distinguish between convective/stratiform events: