Methodology for weather data collection published by meteorological stations on the Internet

2020 ◽  
Author(s):  
Э. Рекашус ◽  
Е. Закабунина ◽  
В. Цейко
Keyword(s):  
Data Collection ◽  
Weather Conditions ◽  
Weather Data ◽  
The Internet ◽  
Climate Effect ◽  
Resistant Varieties ◽  
Meteorological Observations ◽  
Weather Observation ◽  
Analyze Data

Многолетние наблюдения учёных показывают, что продуктивность агрофитоценозов в той или иной степени зависит от погодных условий местности, где они формируются. В связи с этим в научных исследованиях оценка агрометеорологических условий произрастания сельскохозяйственных культур при обосновании полученных экспериментальных данных является общепринятой. Цели проведения данной оценки разнообразны. Например, она проводится для определения влияния метеоусловий и тенденций изменения климата на сезонную и многолетнюю динамику развития вредных организмов. Результаты метеонаблюдений важны для выявления степени устойчивости новых сортов к абиотическим стрессам, а также для выяснения, какой из факторов погоды в большей степени влияет на составляющие продукционного процесса той или иной культуры. Однако в силу разных причин экспериментальные участки не всегда имеют метеорологические площадки для наблюдений за погодой. В этом случае исследователи обращаются к метеосводкам ближайших государственных метеостанций. В настоящее время данная информация находится в открытом доступе в сети Интернет, и имеются технические возможности её сбора и обработки. В связи с этим цель статьи познакомить исследователей, чьи опытные поля не оборудованы собственными метеостанциями, с методикой получения из сети Интернет данной информации. В статье приведён порядок работы с архивом данных о погоде на метеостанциях, который находится в открытом доступе в сети Интернет. Статья представляет интерес для учёных-исследователей, чьи полевые опыты не оборудованы площадками наблюдения за погодой, но при этом есть необходимость в характеристике метеоусловий для обоснования полученных экспериментальных данных. Long-term observations showed that to a certain degree productivity of farm phytocenoses depend on climate of their cultivation area. Therefore, scientists use standard evaluation of weather conditions to analyze data on crop growth and behaviour. Such evaluation has various purposes. For example, it is conducted to determine the climate effect on seasonal and long-term dynamics of pest spread. Meteorological observations are crucial when selecting stress-resistant varieties or identifying environmental factors influencing crop performance. For various reasons trial locations do not always have meteorological sites for weather observation. In this case scientists collect such data from nearest state meteorological stations. There are several ways to collect and process this information which is publicly available on the Internet nowadays. This article presents the weather data collection methodology from the Internet to be used by researches lacking respective equipment on their trial fields. The article describes the procedure for archive analysis of online weather data from meteorological stations. It is of interest for the Institutions that have no weather observation sites but need to characterize weather conditions to justify the obtained experimental data.

scholarly journals Generation of a Test Reference Year for Alūksne, Latvia

2015 ◽  
Vol 33 (1) ◽  
pp. 46-54 ◽  
Author(s):  
Mārtiņš Ruduks ◽  
Arturs Lešinskis
Keyword(s):  
Selection Process ◽  
Meteorological Data ◽  
Weather Conditions ◽  
Building Energy ◽  
Weather Data ◽  
Building Performance ◽  
Climate Data ◽  
Meteorological Observations ◽  
Energy Simulations

Abstract Precise and reliable meteorological data are necessary for building performance analysis. Since meteorological conditions vary significantly from year to year, there is a need to create a test reference year (TRY), to represent the long-term weather conditions over a year. In this paper two different TRY data models were generated and compared: TRY and TRY-2. Both models where created by analysing every 3-hour weather data for a 30-year period (1984–2013) in Alūksne, Latvia, provided by the Latvian Environment Geology and Meteorology Centre (LEGMC). TRY model was generated according to standard LVS EN ISO 15927-4, but to create second model - TRY-2, 30 year average data were applied. The generated TRY contains typical months from a number of different years. The data gathered from TRY and TRY-2 models where compared with the climate data from the Latvian Cabinet of Ministers regulation No. 379, Regulations Regarding Latvian Building Code LBN 003-01. Average monthly temperature values in LBN 003-01 were lower than the TRY and TRY-2 values. The results of this study may be used in building energy simulations and heating-cooling load calculations for selected region. TRY selection process should include the most recent meteorological observations and should be periodically renewed to reflect the long-term climate change.

scholarly journals An IoT based Low-cost Weather Monitoring System for Smart Farming

2021 ◽  
Author(s):  
L.P.S.S.K. Dayananda ◽  
A. Narmilan ◽  
P. Pirapuraj
Keyword(s):  
Liquid Crystal ◽  
Mobile Phone ◽  
Real Time ◽  
Monitoring System ◽  
Liquid Crystal Display ◽  
Low Cost ◽  
Weather Conditions ◽  
Weather Data ◽  
The Internet ◽  
Arduino Uno

Background: Weather monitoring is an important aspect of crop cultivation for reducing economic loss while increasing productivity. Weather is the combination of current meteorological components, such as temperature, wind direction and speed, amount and kind of precipitation, sunshine hours and so on. The weather defines a time span ranging from a few hours to several days. The periodic or continuous surveillance or the analysis of the status of the atmosphere and the climate, including parameters such as temperature, moisture, wind velocity and barometric pressure, is known as weather monitoring. Because of the increased usage of the internet, weather monitoring has been upgraded to smart weather monitoring. The Internet of Things (IoT) is one of the new technology that can help with many precision farming operations. Smart weather monitoring is one of the precision agriculture technologies that use sensors to monitor correct weather. The main objective of the research is to design a smart weather monitoring and real-time alert system to overcome the issue of monitoring weather conditions in agricultural farms in order for farmers to make better decisions. Methods: Different sensors were used in this study to detect temperature and humidity, pressure, rain, light intensity, CO2 level, wind speed and direction in an agricultural farm and real time clock sensor was used to measured real time weather data. The major component of this system was an Arduino Uno microcontroller and the system ran according to a program written in the Arduino Uno software. Result: This is a low-cost smart weather monitoring system. This system’s output unit were a liquid crystal display and a GSM900A module. The weather data was displayed on a liquid crystal display and the GSM900A module was used to send the data to a mobile phone. This smart weather station was used to monitor real-time weather conditions while sending weather information to the farmer’s mobile phone, allowing him to make better decisions to increase yield.

scholarly journals The von Neumayer legacy in Australian meteorology

2011 ◽  
Vol 123 (1) ◽  
pp. 78
Author(s):  
Mark Williams
Keyword(s):  
Weather Forecasting ◽  
Climate Record ◽  
Formal Program ◽  
Observation Program ◽  
Meteorological Observations ◽  
The City ◽  
Weather Observation

Georg von Neumayer established the first formal program to take meteorological observations in Melbourne in 1858 at the Flagstaff Hill Observatory. In doing this he set the platform for a long-term climate record of Melbourne of immeasurable value to the city of Melbourne and the nation. He also helped set in train an ever expanding program of weather recording in Victoria, and around the country. This program of observing the weather then evolved into the sophisticated system which exists today. Today’s weather observation program underpins the modern weather forecasting service, which the nation depends on so much for short and longer term activities.

METHOD OF SPATIAL PREDICTION THE DATES OF STARTING AND PASSING THE MAXIMUM WATER DISCHARGE OF SPRING FLOODS

2019 ◽  
pp. 8-22
Author(s):  
A.A. Dokus ◽  
Zh.R. Shakirzanova ◽  
N.N. Shvets
Keyword(s):  
Water Discharge ◽  
Geographical Location ◽  
Weather Conditions ◽  
Spatial Prediction ◽  
Spring Flood ◽  
Prognostic Assessment ◽  
Maximum Water ◽  
Meteorological Observations

Introduction. The problem of long-term and prognostic assessment of the terms of spring floods on rivers is relevant in hydrological investigations. Due to climate warming, the flood tides shifted to early dates or the beginning of the calendar year. The purpose is to analyze the long-term passage of spring floods and to carry out their spatial mapping forecasting on the Dnieper (within Ukraine). Methods. Investigation of the dynamics of long-term changes in the timing of spring floods and the use of the forecast method based on the meteorological forecast of ten-day air temperature in the winter-spring season in the Dnieper basin. Results. The method of forecasting the dates of starting and passing the maximum water discharge (levels) is based on the regional equations of the forecast scheme and allows to make a preliminary estimation of flood terms each year, regardless of the availability of meteorological observations. Assessment of the forecasting methodology allows to recommend it as a consultation, and the earliness of forecast varies depending on the geographical location of the catchments and the current weather conditions of a particular spring. Conclusion. The methodology was implemented on the example of spring floods 2017-2018. The overall forecasts were satisfactory, but the quality of the forecasts was affected by the non-simultaneous terms of the spring flood formation in the Dnieper basin. The prognostic probabilities of the dates of spring flood allow characterizing the frequency of their occurrence over many years. On the example of the 2017-2018 spring flood, the rivers of the Dnieper basin found that, in a changing climate, floods can be shifted to earlier and later ones.

scholarly journals Streamflow and weather conditions of seven small coastal watersheds, British Columbia, Canada, 2013–2019

2021 ◽  
Author(s):  
Maartje C. Korver ◽  
Emily Haughton ◽  
William C. Floyd ◽  
Ian J. W. Giesbrecht
Keyword(s):  
Spatial Data ◽  
Weather Conditions ◽  
Scientific Basis ◽  
Weather Data ◽  
Storm Events ◽  
Small Watersheds ◽  
Coastal Watersheds ◽  
Complete Dataset ◽  
Data Gap

Abstract. Hydrometeorological observations of small watersheds of the northeast Pacific coastal temperate rainforest (NPCTR) of North America are important to understand land to ocean ecological connections and to provide the scientific basis for regional environmental management decisions. The Hakai Institute operates a densely networked and long-term hydrometeorological monitoring observatory, that fills a spatial data gap in the remote and sparsely gauged outer coast of the NPCTR. Here we present the first five water years (October 2013–October 2019) of hourly streamflow and weather data from seven small (< 13 km2), coastal watersheds. Average yearly rainfall was 3267 mm, resulting in 2317 mm of runoff and 0.1087 km3 of freshwater exports from all seven watersheds per year. However, rainfall and runoff were highly variable depending on location and elevation. The seven watersheds have rainfall-dominated (pluvial) streamflow regimes, streamflow responses are rapid and most water exports are driven by high-intensity fall and winter storm events. Measuring rainfall and streamflow in remote and topographically complex rainforest environments is challenging, hence advanced and novel automated measurement methods were used. These methods, specifically for stream flow measurement allowed us to quantify uncertainty and identify key sources of error, which varied by gauging location. Links to the complete dataset, watershed delineations with metrics, and calculation scripts can be found in Sect. 6 and 7.

scholarly journals Weather risk management in marine survey campaigns for the offshore investment projects in the Polish Exclusive Economic Zone

2021 ◽  
Author(s):  
Maria Kubacka ◽  
Maciej Matczak ◽  
Maciej Kałas ◽  
Lucjan Gajewski ◽  
Marcin Burchacz
Keyword(s):  
Wind Farms ◽  
Weather Conditions ◽  
Offshore Wind ◽  
Weather Data ◽  
Offshore Wind Farms ◽  
Investment Projects ◽  
Gas Drilling ◽  
The Baltic ◽  
Weather Risk Management

AbstractWeather is a crucial factor and the most unpredictable of all the factors determining success or failure of any offshore activity, such as investments in seabottom grid connectors (gas, energy or communication), oil & gas drilling facilities development as well as erection of offshore wind farms. Weather conditions cannot be foreseen accurately over a time horizon longer than a few days, and so arranging a realistic work schedule for such an enterprise poses a great challenge. This paper identifies and analyzes the greatest risks associated with weather conditions at sea. The importance and impact of weather on the project implementation were assessed and mitigating measures were proposed. As part of the work, a review of scientific literature was conducted, while the core conclusions were reached using the information-gathering techniques and a documentation review of the offshore projects implemented in cooperation with the Maritime Institute. The authors based their analysis on experience from survey campaigns conducted in the Baltic Sea in the areas of the investments planned for implementation. The analysis of risks associated with weather conditions is based on the statistical weather data obtained using the WAM4 model.The research reveals that it is impossible to create an accurate survey schedule for long-term offshore projects, however, using statistics for each individual hydrodynamic parameter can, to some extent, facilitate the creation of survey schedules for maritime projects.

scholarly journals The Influence of Weather Conditions on the Optimal Setting of Photovoltaic Thermal Hybrid Solar Collectors—A Case Study

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4612
Author(s):  
Ryszard Myhan ◽  
Karolina Szturo ◽  
Monika Panfil ◽  
Zbigniew Szwejkowski
Keyword(s):  
Elevation Angle ◽  
Apparent Movement ◽  
Weather Conditions ◽  
Weather Data ◽  
Solar Collectors ◽  
Optimization Task ◽  
Radiation Properties ◽  
Optimal Setting

The potential absorption of solar energy in photovoltaic thermal (PVT) hybrid solar collectors at different tilt angles was compared in the present study. The optimal tilt angles were tested in three variants: during 1 day, 1 year and a period of 30 years. Simulations were performed based on actual weather data for 30 years, including average hourly total radiation, insolation and air temperature. The apparent movement of the Sun across the sky, solar radiation properties, and the electrical and thermal efficiency of a PVT collector were also taken into account in the simulation model. The optimal orientation of the absorber surface was determined by solving an optimization task. The results of the study indicate that in the long-term perspective, the collector’s performance is maximized when the absorber is positioned toward the south at an elevation angle of 34.1°.

scholarly journals Analysis of the effectiveness concerning initiatives for pedestrians’ safety on roads: a questionnaire survey

2017 ◽  
Vol 127 (4) ◽  
pp. 164-167
Author(s):  
Krzysztof Goniewicz ◽  
Patrycja Misztal-Okońska ◽  
Patryk Rzońca ◽  
Klaudia Lulek ◽  
Kamil Bednarz ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Traffic Safety ◽  
Road Safety ◽  
Weather Conditions ◽  
Developed Countries ◽  
Health Sciences ◽  
The Internet ◽  
The Subject ◽  
Medical University

Abstract Introduction. One of the most important issues and challenges of public safety policy in highly developed countries is the problem of ensuring road safety, along with dealing with health and material losses resulted from accidents. Unfortunately, Poland, in comparison to other EU countries, has one of the worst statistics regarding accidents and mortality ratios, therefore it is essential to undertake long-term actions aimed at improving road safety, as well as educating drivers and pedestrians. Aim. The purpose of this study is to analyse the problem and to investigate whether traffic safety campaigns are effective, and if they reach young audience. Material and methods. The research was conducted in the first quarter of 2018 among the students of Faculty of Health Sciences of the Medical University of Lublin. The study method applied was a diagnostic survey, and the tool was an original questionnaire. The participation was voluntary and anonymous. The obtained results were the subject of later statistical analysis. As many as 153 young respondents aged between 18 and 25 were tested, out of whom 73.68% were women and 26.32% were men. Results. Over half of the surveyed (56.3%) declared walking as the main form of participation in traffic, and 25.9% of the surveyed used public transport. The most numerous group of the examined (34.21%) thought that the Polish roads were rather unsafe. As the reasons for the low safety on the Polish roads the respondents identified: bad condition of the roads (69.1%), drivers’ recklessness (67.1%), and maladjustment of the driving style to weather conditions (60.5%). All respondents have encountered campaigns concerning road safety, however not too often (56.58% less than once a month). The surveyed encountered these social campaigns on TV (88.2%), on the Internet (54.6%), and on billboards (23.7%). Conclusion. Promotional campaigns concerning road safety have a greater impact on women. In the examined group, around 67% of women changed their behaviour as a result of the campaigns, and only 42.5% of men. Social campaign which was best remembered, and had the biggest influence on the respondents (50.3%) was „Say STOP to reckless driver you love”.

Identification of coherent links between interannual sedimentary structures and daily meteorological observations in Arctic proglacial lacustrine varves: potentials and limitations

2008 ◽  
Vol 45 (1) ◽  
pp. 1-13 ◽  
Author(s):  
Krystopher J Chutko ◽  
Scott F Lamoureux
Keyword(s):  
Lacustrine Sediments ◽  
Weather Conditions ◽  
High Arctic ◽  
Meteorological Conditions ◽  
Positive Temperature ◽  
Training Set ◽  
Robust Model ◽  
Structure Thickness ◽  
Meteorological Observations

Proglacial lacustrine sediments from High Arctic Lake R (76°17.9′N, 90°59.3′W, unofficial name) are shown to be annually laminated (varved) and contain a variety of subannual structures. The formation of the subannual structures (and overall varve) was controlled by a combination of meteorologic (temperature and rainfall) and geomorphic factors. Using a training set of the ten thickest varves in the 38-year sedimentary record, a heuristic model was developed to link subannual structures with regional meteorological conditions. Within the training set, significant correlations were shown between subannual structure thickness and the magnitude of the corresponding melt event, defined as a period of continuously positive temperature. However, these correlations deteriorated as the varves progressively thinned, and several varves exhibited no relationship between their subannual structures and respective meteorological conditions. Grain size analyses showed that the thin varves were significantly finer than the thick varves and are inferred to reflect changed sediment inflow patterns that altered deposition and reduced the fidelity of the model. Despite these complexities, this study identified the potential to produce long-term, subannual reconstructions of weather conditions. Model results revealed the limitations of simple varve–meteorology relationships, as well as identified necessary environmental and sampling conditions required to produce a more robust model for future applications.

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