Meteorology Data Analysis Articles & Analysis
16 articles found
We have got less than a decade left to achieve the UN’s Sustainable Development Goals (SDGs). The 17 SDGs were adopted by all UN Member States back in 2015 as part of the 2030 Agenda for Sustainable Development. The goals act as a shared vision to improve people’s lives and to protect our planet. Most important, they push for a change in perception – the first step in ...
The Servelec-designed MMS replaced multiple legacy systems and enables the collection of minute-by-minute frequency data from meteorological sensors for analysis at the Met Office headquarters in Exeter. It delivers improved data quality, enhancing the scientific integrity of the observed data, whilst maintaining ...
ByOvarro
The aim of this study is to assess the discrepancy in the measured (pan evaporation) and estimated (Penman) evaporation rate, seasonally, based on the results from a 37-year energy budget analysis of Lake Burrumbeet, Australia. The detailed analysis of meteorological data showed that evaporation is fully radiation driven and that ...
Integrated Computer as Standard: Previous models used an external computer for gas analysis and data acquisition. The new model utilizes a fully integrated computer. ...
Estimation of solar radiation from measured air temperature offers an important alternative in the absence of measured solar radiation because of the wide availability of air temperature data. Solar radiation is considered as the most important parameter in meteorology, solar conversion, and renewable energy applications. ...
For environmental analysis such as the dispersion of pollutants in the atmosphere, it is essential to have meteorological data that are relevant for a long period. ...
Average secondary OC contributions to the total observed OC for the fall data was estimated at 14% (no day exceeding 30% contribution) and 47% for the spring data (with the minimum being 33% and the maximum 68%). ...
The study investigates the sensitivity of the dispersion predictions to the number of years of data used; using hour by hour or statistical data; using different variables (e.g. surface heat flux or the Monin-Obukhov length); using different category boundaries for statistically analysing the data; using different meteorological ...
This study applies observational data composed of hourly weather and aerosol to discuss the aerosol characteristics within different weather systems. Based on cluster analysis, spring weather in Taipei Basin 2004 was characterised as five weather systems: humid/low south wind speed, dry cold/high east wind speed, humid cold/east wind, dry cold/northeaster, and ...
Objective Understand the importance of thesurrounding landuse on development ofAERMET data for use in AERMOD Review tools to visualize and calculatelanduse and select appropriatemeteorological data Demonstrate example of landusecomparison and impacts on model results Outline AERMOD Overview AERMET and Landuse Example Landuse at facility and meteorologicalstations Results Comparison ...
This is due to the increased spatial and temporal resolution of atmospheric data fields. Prognostic mesoscale forecast systems operate by assimilating all available data and by using meteorological models to result in a consistent analysis of the current atmospheric conditions. ...
This is due to the increased spatial and temporal resolution of atmospheric data fields. Prognostic mesoscale forecast systems operate by assimilating all available data and by using meteorological models to result in a consistent analysis of the current atmospheric conditions. ...
This is due to the increased spatial and temporal resolution of atmospheric data fields. Prognostic mesoscale forecast systems operate by assimilating all available data and by using meteorological models to result in a consistent analysis of the current atmospheric conditions. ...
This day was characterised by a strong northern foehn event in the morning, which followed the passage of a cold front. The analysis has been carried out by means of data derived from the urban and suburban air quality monitoring networks, of meteorological data (wind velocity, temperature and relative humidity) from the same ...
Abstract A long-term environmental monitoring program is providing hydrologic data that demonstrates poplar trees are influencing groundwater flow at the J-Field site, Aberdeen Proving Ground, Maryland. Advanced data collection and analyses techniques have enabled researchers to construct a water budget for the study area and to estimate the amount of groundwater the trees are transpiring on a ...
In addition, the terrain and meteorological data preprocessing capabilities of each model are evaluated. The source information for the modeling analysis being described in this paper is for a fictitious facility. The information for this modeling analysis consists of meteorological data ...