Description
Posters from followin session:
Comparative performance analysis and uncertainty assessment
OS data merging
Application of OS rainfall data
In the Lazio region, there is a dense network of 230 trustworthy rain gauges with a high temporal resolution. In addition, data from more than 300 Netatmo Personal Weather Stations (PWS) are available. However, since these PWS do not meet professional standards in terms of installation and maintenance, they must first be quality controlled (QC). For this purpose, we will apply the latest QC...
In September 2024, a very heavy and severe flood took place in the Upper and Middle Oder River basin - a mountainous area in southwestern Poland. The widespread rainfall lasted for about four days, reaching daily totals over 200 mm in some areas. Due to the necessity for real-time precipitation and runoff forecasts and subsequent analyses, an important issue is how precisely we can measure and...
This poster presents an overview of our ongoing and future research at the Climate and Earth Lab (CLEAR) of Ghent University, where we leverage commercial microwave links (CML) to enhance precipitation monitoring. In Belgium, our efforts focus on the hilly terrain of southern regions, where we aim to improve existing radar–rain gauge merged products by integrating CML data. Using disdrometers,...
The deployment of E-band CMLs in high-capacity communication networks is increasing however, studies investigating how suitable they are for rainfall monitoring are still rare.
The analysis explores three-year long dataset from an E-band CML from the Prague network accompanied by five reference weather stations. The 4.5 km link, operating with two sublinks at 73.25 GHz and 83.25 GHz,...
Abstract:
Accurate rainfall estimation benefits from combining various measurement methods. Commercial Microwave Links (CMLs) provide path-averaged rainfall rates through the attenuation of emitted radiation, offering valuable data, especially in regions lacking dedicated rainfall sensors, such as many parts of Africa. However, processing CML data presents challenges, notably in...
The Royal Netherlands Meteorological Institute (KNMI) produces a publicly available real-time gauge-adjusted radar precipitation product of 5-min accumulations on a 1-km grid covering 450000 squared kilometres of northwestern Europe every 5 min. It is employed for various applications, including nowcasting. The quality of the product has been much improved since 31 January 2023. The employed...
Accurate precipitation estimation relies on adjusting radar data with rain gauge measurements to correct spatially and temporally varying errors. While official gauge networks are typically too sparse to sufficiently capture the precipitation variability in real time, recent studies have demonstrated the potential of using crowdsourced rain gauge data from low-cost personal weather stations...
Gothenburg City is located on the west coast of Sweden, which is the most rainy region in the country. The city with surroundings has experienced several flood events over the years, with both pluvial, fluvial and coastal components. In order to minimize the risk of flooding as well risks of treatment plant overload and sewer overflow, the sewer network is equipped with a system for real-time...
This work explores the phenomenon of periodicity (usually at 24-hour periods) in the received signal level observed in Commercial Microwave Links. We will present an overview based on several observations from different locations around the world (mainly in Germany, Israel, Sweden, and Italy) and from different sources (cellular backhaul commercial microwave links and smart-city wireless...
Nowcasting and understanding of locally evolving severe weather events is a demanding task that requires the combined investigation of different type (both ground- and space-based) of datasets. Atmospheric water vapor (WV) which is the most abundant greenhouse gas (accounting for ~70% of global warming) comprises a significant energy source which generates severe weather and climate phenomena....
This poster presents a first-time application of using commercial microwave links (CML) to predict rainfall intensity and variability in Rwanda, in the framework of a research project (Sensor²) with Ghent University, Rwanda Meteorology Agency, MTN Rwandacell and University of Rwanda. Similar research has shown global success in generating real-time data rainfall monitoring, particularly in...
Accurate and timely precipitation forecasts are crucial for flood early warnings and mitigating other rainfall-induced natural hazards like landslides. For forecasts up to three hours ahead, rainfall nowcasts are increasingly being used. Generally, these nowcasts statistically extrapolate real-time remotely sensed quantitative precipitation estimates, often based on weather radars. However,...
