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Weather Forecasting Software Articles & Analysis
31 articles found
In Austria, a pioneering network of 1,000 modern weather stations is being established to set new standards in local weather forecasting. In cooperation with two weather services, the telecommunications provider Drei Austria, together with Metrilog Data Services GmbH and Meteologix AG led by weather expert Jörg Kachelmann, is bringing this technology across the entire country – with ...
Lightning detectors play a crucial role in saving lives and property by providing early warning and monitoring of lightning activity. Here are some ways in which lightning detectors contribute to ...
Weather sensor is an important part of modern weather forecasting, monitoring and analysis. These sensors are used to measure various weather parameters such as temperature, humidity, pressure, wind speed and direction, and rainfall. Meteorologists, researchers, and policymakers use data collected from weather sensors to understand weather patterns, predict weather events, and make informed ...
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Envirosuite’s proactive environmental management software offerings are examples that stands out with features such as real-time monitoring, hyperlocal weather forecasting, predictive modelling and potential threshold alerts. ...
Strategy 2: Planning operations in advance with emissions modelling and hyperlocal weather forecasting Another key strategy for dust management at a mining site involves the use of emissions modelling and hyperlocal weather forecasts to plan activities ahead of time. ...
It is now a well-established fact that exposure to poor air quality leads to serious health conditions. These health impacts on populations have led to a massive economic burden on economies around the world. This impact can be minimized by reducing our exposure to air pollution. We can do this by leveraging the latest technology which is available to us. One of the best ways of doing that is ...
It is now a well-established fact that exposure to poor air quality leads to serious health conditions. These health impacts on populations have led to a massive economic burden on economies around the world. This impact can be minimized by reducing our exposure to air pollution. We can do this by leveraging the latest technology which is available to us. One of the best ways of doing that is ...
A Micro Pulse LiDAR (MPL) system at South Florida’s Cloud-Aerosol-Rain Observatory (CAROb) collected data to further research on the effects of low clouds and dust on the climate. Changes in the climate are created by complex interactions between temperature, clouds, aerosols, wind, moisture and a host of other factors. To get a better understanding of the specific impact of numerous low ...
Project name RichWaterWorld Partners Alliander | Alterra | B-Ware | Meteo Group | Park Lingezegen | Radboud Universiteit | Royal Eijkelkamp Country The Netherlands Background of RichWaterWorld Water is at the very focus of global attention: Climate change has serious consequences on wateravailability, especially in the higher-lying deltas, meaning the river and water systems in rural ...
The 2% efficiency increase at La Africana was achieved “using only the direct normal irradiance (DNI) maps for the time of the image acquisition," he noted. The combination of short-term weather forecasting and smart technology could significantly boost CSP revenues. ...
There are so many examples of interesting research using Micro Pulse LiDAR (MPL) technology it is difficult to decide on my favorites; however, I have chosen to highlight the following two papers because these applications for the MPL and MiniMPL address problems that are very important to global health. I’ve created a summary of each report and provided the citation in case you are ...
Let´s think about a wintry scene at the Schiphol Airport (Amsterdam, NL): De-iceing machines surrounding an aircraft engulfed in clouds of smoke. Workers are using large-nozzle hosepipes to douse the aircraft in a special fluid that will de-ice it and keep it de-iced so that it can safely depart. As you may can imagine, the de-icing process takes time as well as manpower and significantly ...
In 2015, two big tenders were won by Lufft – one from the “KNMI” (Dutch Royal Weather Service), and the other one from the biggest German Weather Service “DWD” (“Deutscher Wetterdienst”). Both of them were looking for a cloud height sensor capable of measurements up to 12 kilometers into the sky. The Lufft CHM 15k can detect different cloud layers ...
Climate change is an unavoidable phenomenon of natural and anthropogenic origin against which mitigation and adaptation are required to reduce the magnitude of impact and vulnerability, to avoid risk in vegetable farming and to ensure sustainable livelihoods of the agricultural community. Genetic improvement of vegetable crops is an appropriate adaptation strategy to cope with climate change ...
In meteorological, as well as air quality, modelling, input data plays an important role in the accuracy of the results, next to the model configuration. There are many sources of meteorological data available, both global and regional, and they differ not only by spatial and temporal resolution, but also by the number of observations included in the reanalysis and method of data assimilation ...
The assessment of local and regional impacts of climate change often requires downscaling of general circulation model (GCM) projections from coarser GCM-scale to finer local- or catchment-scale spatial resolution. This paper provides an assessment of two downscaling approaches for simulation of daily rainfall over Sydney, Australia. The two downscaling alternatives compared include a ...
Relationships between winter air pollutant concentrations and ten meteorological parameters were investigated based on observed pollutant concentrations and high–resolution meteorological data from weather research and forecast model, and multiple linear regression models were developed for estimating NO2 and PM10 concentrations over urban Lanzhou, North–western China. Results indicated that ...
This study evaluates the performances of three Community Multiscale Air Quality (CMAQ) model v5.0 simulations that utilise meteorological input data from the 5th-generation Mesoscale Model (MM5), the Weather Research and Forecasting (WRF) model and WRF with Four-Dimensional Data Assimilation (WRF/FDDA). Three sets of CMAQ model simulations were performed for a high air pollution episode from ...
Open water systems are one of the most externally influenced systems due to their size and continuous exposure to uncertain meteorological forces. The control of systems under uncertainty is, in general, a challenging problem. In this paper, we use a stochastic programming approach to control a drainage system in which the weather forecast is modeled as a disturbance tree. Each branch of the ...
Micro urban simulations require high detail information. In order to take into account the building morphology, we have used a computational fluid dynamics (CFD) model named EULAG (UCAR) driven by the Weather and Research Forecasting System (WRF) through boundary conditions. A new three–dimensional urban solar radiation model (SHAMO) has been developed by the authors. We present results of the ...