Stochastic simulation of intermittent DSD fields in time
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In October 2011, the Swiss Alps underwent a marked rain-on-snow (ROS) event when a large snowfall on 8 and 9 October was followed by intense rain on 10 October. This resulted in severe flooding in some parts of Switzerland. Model simulations were carried o ...
Power laws relating the different radar observables (from conventional or polarimetric radar systems) are commonly used in the processing of radar measurements (e.g., attenuation correction) and in their conversion into rain rate values (e.g., Z-R relation ...
The measurement of rainfall and its prediction at short lead times (often referred to as nowcasting) have important implications in hydrometeorology, and improving their accuracy may have an impact on various human activities. Indeed, the importance of now ...
Accurate and reliable rain rate estimates are important for various hydrometeorological applications. Consequently, rain sensors of different types have been deployed in many regions. In this work, measurements from different instruments, namely, rain gaug ...
Accurate and reliable rain rate estimates are crucial for various applications (flood forecasting, road traffic, agriculture to list a few). As a consequence rain sensors of different types have deployed in many regions. In this work a data assimilation te ...
Shadowgraphy was employed to study snow saltation in boundary-layer wind tunnel experiments with fresh, naturally deposited snow. The shadowgraphy method allowed for a temporally and spatially high-resolution investigation of snow particle characteristics ...
A stochastic method to disaggregate rain rate fields into drop size distribution (DSD) fields is proposed. It is based on a previously presented DSD simulator that has been modified to take into account prescribed block-averaged rain rate values at a coars ...
A stochastic method to disaggregate rainfall fields into DSD fields is proposed. It is based on a previously presented DSD simulator that has been modified in order to take into account imposed mean values provided at the coarser scale. The integral quanti ...
Precipitation is an important component of the Earth' water cycle and needs to be carefully monitored. Its large variability over a wide range of spatial and temporal scales must be taken into account. For example, hydrological models require accurate rain ...
The different quantities measured by dual-polarization radar systems are closely linked to each other. An extended Kalman filter framework is proposed in order to make use of constraints on individual radar observables that are induced by these relations. ...