| Oppurtunistic methods of rainfall sensing |
| Brno University of Technology |
| Musil |
| Petr |
| Ing. et Ing. |
| musilp@vutbr.cz |
| Department of Telecommunications |
| Czech Republic |
| +420739613706 |
| https://www.cybergrid.cz/ |
|
| precipitation,rainfall,microwave link,opportunistic sensing |
| We are looking for:
• Data analysts and statistical analysts
- focus on processing „big data“
- hundreds of links with several years of data
• Python developers
- we are processing our data currently with software developed in Python
• Signal processing experts
- we are analyzing a character of our CML signal data
• Machine learning experts
- developing of a new processing methods based on an AI
• Tomographic reconstruction experts
- developing and optimizing of method based on tomography can lead to better results regarding spatial distribution of the precipitation |
| Commercial microwave links (CMLs) can be utilized as an effective opportunistic sensor network for rainfall measurement in both metropolitan and also countrywide deployments. CMLs could unintentionally measure rainfall at ground levels of the atmosphere so they act as an opportunistic distributed sensor network. This measurement seems to be a promising way to further refine existing meteorological precipitation measurement methods, especially as a suitable complement to radar measurements, since meteorological radars measure rainfall and other non-liquid precipitation in much higher altitudes typically above 1 km. CMLs can also ensure rainfall measurements in developing countries where meteorological radar infrastructure is not available and the density of the rain gauge network is sparse, since telecommunication infrastructure is in wide usage in almost every country in the world. However, there can be various inaccuracies that can be overcome by several possible methods, e.g. the effect of wet antenna attenuation (WAA). There are also possibilities of developing methods for more accurate rain distribution based on crossing of CMLs or tomographic reconstruction of rainfall field instead of simple spatial interpolation. The aim of our project is to eliminate all the inaccuracies in the process flow and introduce better spatial distribution methods, so that the results can be utilized by real meteorological national services. |
| In case of your interest, please contact me on email address musilp@vutbr.cz and we can possible schedule an online meeting via e.g. MS Teams. |
