Preliminary Study on the Feasibility of Performing Quantitative Precipitation Estimation Using X-band Radar

IRCTR has built an experimental X-band Doppler po-larimetric weather radar system aimed at obtaining high temporal and spatial resolution measurements of precipitation, with particular interest in light rain and drizzle. In this paper a first analysis of the feasibility of obtaining accurate quantitative precipitation estimation from the radar data performed using a high density network of rain gauges is presented

Shaner leaves legacy of leadership, strong teaching

Radar range: standard. Max rain level: moderate rain

Cloud boundary height measurements using lidar and radar

Using only lidar or radar an accurate cloud boundary height estimate is often not possible. The combination of lidar and radar can give a reliable cloud boundary estimate in a much broader range of cases. However, also this combination with standard methods still can not measure the cloud boundaries in all cases. This will be illustrated with data from the Clouds and Radiation measurement campaigns, CLARA. Rain is a problem: the radar has problems to measure the small cloud droplets in the presence of raindrops. Similarly, few large particles below cloud base can obscure the cloud base in radar measurements. And the radar reflectivity can be very low at the cloud base of water clouds or in large regions of ice clouds, due to small particles. Multiple cloud layers and clouds with specular reflections can pose problems for lidar. More advanced measurement techniques are suggested to solve these problems. An angle scanning lidar can, for example, detect specular reflections, while using information from the radars Doppler velocity spectrum may help to detect clouds during rain.Comment: Reviewed conference contributio

Solar Radiation Modification is risky, but so is rejecting it : A call for balanced research

As it is increasingly uncertain whether humanity can limit global warming to 1.5 degrees, Solar Radiation Modification (SRM) has been suggested as a potential temporary complement to mitigation. While no replacement for mitigation, evidence to date suggests that some SRM methods could contribute to reducing climate risks and would be technically feasible. But such interventions would also pose environmental risks and unprecedented governance challenges. The risks of SRM must be carefully weighed against those of climate change without SRM. Currently, both types of risks are not sufficiently understood to assess whether SRM could be largely beneficial. Given the already serious impacts of climate change and the possibility that pressure from their increasing severity will trigger rash decisions, we argue that timely, careful investigation and deliberation on SRM is a safer path than wilful ignorance. A framework of ethical guidelines and regulation can help limit potential risks from SRM research

Long-term observations of the background aerosol at Cabauw, The Netherlands

Long-term measurements of PM2.5 mass concentrations and aerosol particle size distributions from 2008 to 2015, as well as hygroscopicity measurements conducted over one year (2008-2009) at Cabauw, The Netherlands, are compiled here in order to provide a comprehensive dataset for understanding the trends and annual variabilities of the atmospheric aerosol in the region. PM2.5 concentrations have a mean value of 14.4 mu g m(-3) with standard deviation 2.1 mu g m(-3), and exhibit an overall decreasing trend of -0.74 mu g m(-3) year(-1). The highest values are observed in winter and spring and are associated with a shallower boundary layer and lower precipitation, respectively, compared to the rest of the seasons. Number concentrations of particles smaller than 500 nm have a mean of 9.2 x 10(3) particles cm(-3) and standard deviation 4.9x10(3) particles cm(-3), exhibiting an increasing trend between 2008 and 2011 and a decreasing trend from 2013 to 2015. The particle number concentrations exhibit highest values in spring and summer (despite the increased precipitation) due to the high occurrence of nucleation-mode particles, which most likely are formed elsewhere and are transported to the observation station. Particle hygroscopicity measurements show that, independently of the air mass origin, the particles are mostly externally mixed with the more hydrophobic mode having a mean hygroscopic parameter kappa of 0.1 while for the more hydrophilic mode kappa is 0.35. The hygroscopicity of the smaller particles investigated in this work (i.e., particles having diameters of 35 nm) appears to increase during the course of the nucleation events, reflecting a change in the chemical composition of the particles. (C) 2017 Elsevier B.V. All rights reserved.Peer reviewe

Dynamic Validation Logic Generation using Business Rules Management Systems

Input validation in web applications represents an important part of their functionality. With proper validation we ensure that provided input data is in accordance with technical constraints, defined by the developer and with business-related constraints. In web development frameworks, validation logic is coupled with program code. If one validation rule is changed, application needs to be recompiled and redeployed. In this thesis we developed a system for input validation based on business rules management system. Validation rules are stored in central repository, separated from implementation of web applications. Thus, we have achieved a simple and transparent way of declaring validation logic in the form of declarative business rules as well as simplifed applications maintenance in case of changes in validation logic

Doppler polarimetric ground clutter identification and suppression for atmospheric radars based on co-polar correlation, Journal of Telecommunications and Information Technology, 2001, nr 4

A new clutter suppression technique that uses both Doppler and polarimetric information is presented. Polarimetric properties of the target and clutter are calculated per Doppler frequency cell and based on this information clutter suppression is performed. This new clutter suppression technique is demonstrated with radar measurements of precipitation made by the Delft atmospheric research radar (DARR)