weather forecasting model Articles
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Validation of a mass consistent flow model as part of a decision support system
In the context of real time (online) decision support systems for nuclear installations, atmospheric dispersion and deposition has to be calculated for a mesoscale area. Typically, the wind field in this area is influenced by topography. Therefore, simple Gaussian type modelling is not appropriate. Initiated and funded by the Bundesamt fur Strahlenschutz, simple (diagnostic mass consistent) flow ...
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Uncertainties in the meteorological input of the chemistry-transport models and some examples of their consequences
In this article, selected weather prediction model parameters, which are important for air pollution studies, were verified against measurements at two sounding stations in Finland. In 1996–1998, the short-time model-measurement differences were rather high. The friction velocity was on average overestimated by 30–70%, the mixing height during spring months was underestimated by up to 60%, 2 m ...
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Evaluation of the WRF meteorological model results during a high ozone episode in SW Poland – the role of model initial conditions
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 ...
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Potential Benefits and Implementation of MM5/RUC2 Data with the CALPUFF Air Modeling System
In April 2003, U.S. EPA officially revised the federal guidelines for air quality modeling (40 CFR Part 51, Appendix W) to incorporate CALPUFF as the preferred dispersion model to study long-range pollutant transport for regulatory purposes. At the absolute minimum, CALMET (CALPUFF’s meteorological preprocessor) requires hourly measurements of surface meteorological data and twice-daily upper air ...
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Potential Benefits and Implementation of MM5/RUC2 Data with the CALPUFF Air Modeling System
In April 2003, U.S. EPA officially revised the federal guidelines for air quality modeling (40 CFR Part 51, Appendix W) to incorporate CALPUFF as the preferred dispersion model to study long-range pollutant transport for regulatory purposes. At the absolute minimum, CALMET (CALPUFF’s meteorological preprocessor) requires hourly measurements of surface meteorological data and twice-daily upper air ...
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`Potential Benefits and Implementation of MM5/RUC2 Data with the CALPUFF Air Modeling System,` presented at the 2004 AWMA annual conference
Abstract In April 2003, U.S. EPA officially revised the federal guidelines for air quality modeling (40 CFR Part 51, Appendix W) to incorporate CALPUFF as the preferred dispersion model to study long-range pollutant transport for regulatory purposes. At the absolute minimum, CALMET (CALPUFF's meteorological preprocessor) requires hourly measurements of surface meteorological data and twice-daily ...
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Modelling meteorological conditions for the episode (December 2009) of measured high PM10 air concentrations in SW Poland - application of the WRF model
The weather research and forecasting model has been applied to derive information on meteorological variables for the period with high concentrations of PM10 (1–30 December 2009) in SW Poland. Three one–way nested domains have been used and the results for the innermost domain have been compared with surface and radiosonde meteorological measurements for pressure (PRES), air temperature (TMP), ...
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Real time, high resolution regional weather and air quality forecasting system in West Macedonia, Greece
This paper presents an overview of the University of Western Macedonia's (UoWM) operational model for predicting the prevailing meteorological and air quality conditions on a high resolution (2 × 2 km²) scale. The MM5 – SMOKE – CMAQ has been suitably parameterised with respect to the particular geographical and climatic characteristics of the region of West Macedonia. The system is designed to ...
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Effect of different meteorological fields on the regional air quality modelling over Pearl River Delta, China
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 ...
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Monitoring weather and climate from space
State of the art weather forecasting, which has become an essential part of everyday life in Europe, would be almost unthinkable without the reliable operational service delivered by Europe’s meteorological satellite organisation – EUMETSAT. The high-quality data and images are especially relevant in the context of severe weather situations and eather-related natural disasters. They are used by ...
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Numerical model–based relationship between meteorological conditions and air quality and its implication for urban air quality management
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 ...
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Numerical experiments to determine MM5/WRF–CMAQ sensitivity to various PBL and land–surface schemes in north–eastern Spain: application to a case study in summer 2009
The Community Multiscale Air Quality (CMAQ) model was used along with the Weather Research and Forecasting (WRF) model to study air quality modelling sensitivity to various Planetary Boundary Layer (PBL) schemes and Land Surface Models (LSMs). The performance is assessed and quantified by comparing results with surface observations and the outputs provided by the fifth generation Mesoscale Model ...
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Application and advantage of weather sensor
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 ...
By JXCT
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MARWIS supports efficient de-icing of aircrafts
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 ...
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How can air quality forecasting help reduce pollution exposure
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 ...
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Comparison of statistical methods for downscaling daily precipitation
There are several statistical downscaling methods available for generating local-scale meteorological variables from large-scale model outputs. There is still no universal single method, or group of methods, that is clearly superior, particularly for downscaling daily precipitation. This paper compares different statistical methods for downscaling daily precipitation from numerical weather ...
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The influence of the land surface on hydrometeorology and ecology: new advances from modeling and satellite remote sensing
The importance of land surface processes has long been recognized in hydrometeorology and ecology for they play a key role in climate and weather modeling. However, their quantification has been challenging due to the complex nature of the land surface amongst other reasons. One of the difficult parts in the quantification is the effect of vegetation that are related to land surface processes ...
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Four-dimensional data assimilation method based on SVD: Theoretical aspect
A new method of four-dimensional data assimilation based on Singular Value Decomposition (SVD) is proposed. In it, a set of atmospheric states is obtained by integrating a numerical weather prediction model and simulated observations are taken and calculated from the model variables. Then the SVD technique is used to create the base vectors from this coupled data set. Finally, the analysis is ...
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Marine atmospheric boundary-layer height estimated from NWP model output
The application of the bulk Richardson number approach to determine the height of the marine atmospheric boundary layer from standard output of Numerical Weather Prediction models is discussed. It is argued that over smooth surfaces like the sea, the critical Richardson number can be expected to be smaller than over land. Based on 4 days of intensive measurements of the height of the marine ...
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Will artificial intelligence replace the conventional weather forecasting system?
The 76th anniversary of the landing of Normandy was celebrated some days ago, a relevant historical event for the end of the Second World War and when meteorology played a crucial role. The landing took place exactly on June 6, 1944 due to the prior weather forecasts successfully conducte ...
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