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Weather station

About: Weather station is a research topic. Over the lifetime, 1789 publications have been published within this topic receiving 42864 citations. The topic is also known as: meteorological station & meteorological observation post.


Papers
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Proceedings ArticleDOI
01 Jan 2019
TL;DR: It is discovered that Nonlinear Autoregressive Exogenous Neural Network (NARXNET) Algorithm is the best to be implemented for prediction of Weather, with the mean squared error of 0.084% in 1.55 seconds for training a model and producing predictions for next 24 hours.
Abstract: With changing climate, heatstroke has proved to be disastrous for few countries especially. The dwellers of different areas are not warned of the consequences to come specifically in their areas as they are told the average of the whole city, while temperature varies at different altitudes and over short distances. The solution provided in the paper, is a smart weather station that not only monitor weather data but also predict it and generate instant alerts for dwellers of different areas, to help them be warned of the future hazard, using the combination of Internet of things and Machine Learning. It is deployed with different sensors that collect weather data from the environment, which are sent to cloud, where predictions are made, for which certain neural network models have been compared to find out which gives the most accurate results. Those values, as well as the real-time values can be displayed on the mobile Application 24/7. Also, alerts are generated in the form of Tweets, which are accessible to everyone, as shown in Figure-1. It is also discovered that Nonlinear Autoregressive Exogenous Neural Network (NARXNET) Algorithm is the best to be implemented for prediction of Weather, with the mean squared error of 0.084% in 1.55 seconds for training a model and producing predictions for next 24 hours.

7 citations

Journal ArticleDOI
TL;DR: The authors assesses the impacts of scale on the estimation of reference evapotranspiration (ETo) by comparing data from individual weather stations against values derived from three national datasets, at varying resolutions.
Abstract: Evapotranspiration (ET) is one of the most important components in the hydrological cycle, and a key variable in hydrological modelling and water resources management. However, understanding the impacts of spatial variability in ET and the appropriate scale at which ET data should be incorporated into hydrological models, particularly at the regional scale, is often overlooked. This is in contrast to dealing with the spatial variability in rainfall data where existing guidance is widely available. This paper assesses the impacts of scale on the estimation of reference ET (ETo) by comparing data from individual weather stations against values derived from three national datasets, at varying resolutions. These include the UK Climate Impacts Programme 50 km climatology (UKCP50), the UK Met Office 5 km climatology (UKMO5) and the regional values published in the Agricultural Climate of England and Wales (ACEW). The national datasets were compared against the individual weather station data and the UKM...

7 citations

Journal ArticleDOI
TL;DR: The authors examined the association between extreme temperature and mortality in urban Ontario, using two temperature data sources: high-resolution and weather station data, and used distributed lag non-linear Poisson models to examine census division-specific temperature-mortality associations.
Abstract: Urban areas have complex thermal distribution. We examined the association between extreme temperature and mortality in urban Ontario, using two temperature data sources: high-resolution and weather station data. We used distributed lag non-linear Poisson models to examine census division-specific temperature-mortality associations between May and September 2005-2012. We used random-effect multivariate meta-analysis to pool results, adjusted for air pollution and temporal trends, and presented risks at the 99th percentile compared to minimum mortality temperature. As additional analyses, we varied knots, examined associations using different temperature metrics (humidex and minimum temperature), and explored relationships using different referent values (most frequent temperature, 75th percentile of temperature distribution). Weather stations yielded lower temperatures across study months. U-shaped associations between temperature and mortality were observed using both high-resolution and weather station data. Temperature-mortality relationships were not statistically significant; however, weather stations yielded estimates with wider confidence intervals. Similar findings were noted in additional analyses. In urban environmental health studies, high-resolution temperature data is ideal where station observations do not fully capture population exposure or where the magnitude of exposure at a local level is important. If focused upon temperature-mortality associations using time series, either source produces similar temperature-mortality relationships.

7 citations

Journal ArticleDOI
TL;DR: In this article, the authors presented a classification of weather types observed in Krakow during the 20th century on days with particularly strong highs, defined as those with an air pressure at 12 UTC equal to or greater than the 99th percentile of all the cases analysed (≥1037.5 hPa).
Abstract: The paper presents a classification of weather types observed in Krakow during the 20th century on days with particularly strong highs. The classification was based on daily values of a number of weather elements recorded at Krakow's Historic Weather Station during the period 1901–2000. Days with very high pressure were defined as those with an air pressure at 12 UTC equal to or greater than the 99th percentile of all the cases analysed (≥1037.5 hPa). A slightly modified version of a classification developed by Woś (1999) was used to determine weather types on each of the days identified. Very high pressure was found to have occurred solely during the cold half of the year (October–March). It was mostly accompanied by fairly frosty (9---) or moderately frosty (8---) weather types; subtype: sunny or with little cloud amount and very sunny (-02-) and very cloudy, without sunshine or with little sunshine (-20-); and weather class: without fog (---0). No significant annual or seasonal trends were found in the occurrence of days with very high pressure or in the various weather types. Copyright © 2010 Royal Meteorological Society

6 citations

Patent
02 Dec 2015
TL;DR: In this paper, the utility model relates to a farm machinery, especially an intelligence irrigation system can be implemented according to the weather conditions of difference to irrigate more effectively, include: control center, it is connected to internet or weather station in order to acquire the weather information to including central processing unit, switch board, display screen and siren, the data acquisition device, its wireless connection to control center to one or more in air temperature sensor, earth's surface temperature sensor and soil moisture sensor, water supply installation, and the water flow control device includes the solenoid valve,
Abstract: The utility model relates to a farm machinery, especially an intelligence irrigation system can be implemented according to the weather conditions of difference to irrigate more effectively, include: control center, it is connected to internet or weather station in order to acquire the weather information to including central processing unit, switch board, display screen and siren, the data acquisition device, its wireless connection to control center to one or more in air temperature sensor, earth's surface temperature sensor, air temperature sensor, soil moisture sensor, volume rain meter, water supply installation, it is connected to control center through the water flow control device, and the water flow control device includes the solenoid valve, the irrigation pipe way, it is connected to water supply installation through the water flow control device to include the nozzle that is in each terminal department.

6 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202347
202293
2021124
2020123
2019131
2018131