scholarly journals Design and Implementation of an Energy-Efficient Weather Station for Wind Data Collection

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3831
Author(s):  
Padma Balaji Leelavinodhan ◽  
Massimo Vecchio ◽  
Fabio Antonelli ◽  
Andrea Maestrini ◽  
Davide Brunelli
Keyword(s):  
Data Collection ◽  
Precision Agriculture ◽  
Climatic Factors ◽  
Wind Data ◽  
Weather Data ◽  
Weather Station ◽  
Weather Patterns ◽  
Weather Stations ◽  
Iot Devices ◽  
Local Weather

Agriculture faces critical challenges caused by changing climatic factors and weather patterns with random distribution. This has increased the need for accurate local weather predictions and weather data collection to support precision agriculture. The demand for uninterrupted weather stations is overwhelming, and the Internet of Things (IoT) has the potential to address this demand. One major challenge of energy constraint in remotely deployed IoT devices can be resolved using weather stations that are energy neutral. This paper focuses on optimizing the energy consumption of a weather station by optimizing the data collected and sent from the sensor deployed in remote locations. An asynchronous optimization algorithm for wind data collection has been successfully developed, using the development lifecyle specifically designed for weather stations and focused on achieving energy neutrality. The developed IoT weather station was deployed in the field, and it has the potential to reduce the power consumption of the weather station by more than 60%.

scholarly journals Peningkatan Skalabilitas Mini Weather Station Portable berbasis Internet of Things

2019 ◽  
Vol 9 (2) ◽  
pp. 203
Author(s):  
Nur Achmad Sulistyo Putro ◽  
Catur Atmaji ◽  
Kristiawan Devianto ◽  
Zandy Yudha Perwira
Keyword(s):  
Data Collection ◽  
Internet Of Things ◽  
System Development ◽  
Low Cost ◽  
Weather Data ◽  
Weather Station ◽  
Regional Topography ◽  
High Scalability ◽  
Weather Stations ◽  
New Location

Indonesia is a country that has unique weather that provides not only abundant natural resources but also can causes disasters at any time. To reduce the threat of losses, observing weather elements using a weather station is a solution that can be used. The development of systems related to environmental monitoring and weather stations is not new. However, most research focuses on various innovations in utilization, low cost and power savings. These studies have not touched on the aspect of ease of system development, especially in the concept of adding nodes. Indonesia, as a country with diverse regional topography, needs an integrated weather monitoring system with the concept of centralized data collection to get a complete picture.In this study, a portable mini weather station system was built named Amicagama. This system is built with the concept of high scalability which means the system is designed to be used publicly, with each user able to manage the nodes which are their respective weather stations. Management by each user here means that each user can manage weather data to be submitted, add nodes at a new location, and can delete nodes at a certain location if something unexpected happens.

scholarly journals Development of a Low-Cost Arduino-Based Weather Station

2020 ◽  
Vol 5 (2) ◽  
Author(s):  
Temilola M Adepoju ◽  
Matthias O Oladele ◽  
Abdulwakil A Kasali ◽  
Gbenga J Fabiyi
Keyword(s):  
Data Collection ◽  
Data Storage ◽  
Low Cost ◽  
Data Communication ◽  
Weather Data ◽  
Weather Station ◽  
Atmospheric Conditions ◽  
Rf Transceiver ◽  
Temperature And Humidity ◽  
Arduino Uno

A weather station is a facility located either on land or sea consisting of instruments and equipment which can be used to measure atmospheric conditions so as to provide weather forecasts information and to study the weather. The existing instruments used for measuring the weather elements are expensive which led to the development of a low-cost Arduino-based weather station. The developed low-cost weather station consists of three separate modules which are data collection, data storage, and data communication. These modules communicate serially with each other and are controlled by three separate microcontrollers (Arduino Uno). The data collection module is interfaced with a set of sensors that collects temperature and humidity. The weather data were viewed in real-time through a graphical user interface (GUI) located at the central station. The developed weather station was able to measure the temperature and humidity of a controlled environment, giving the reading at interval of five minutes. It was observed that the average temperature from results obtained (27.360C) with the developed low-cost Arduino based weather station falls within the range of the Accuweather readings (24.00-28.000C). Also, the average humidity of the developed low-cost Arduino based weather station (80.41%) falls within the range of the Weatherspark humidity (78-82%) on 20th August 2019. Therefore, this system can be adopted as a weather station facility. The design can be extended to be web-based in the future to make it available worldwide.Keywords— Arduino Uno, Humidity, RF Transceiver, Temperature, Weather Station

scholarly journals Naturally triggered persistent deep slab avalanches in western Canada Part II: weather trends from model forecasts

2016 ◽  
Vol 62 (232) ◽  
pp. 256-269 ◽  
Author(s):  
MICHAEL CONLAN ◽  
BRUCE JAMIESON
Keyword(s):  
Classification Tree ◽  
Surface Wind ◽  
Critical Parameters ◽  
Wind Loading ◽  
Weather Data ◽  
Limited Area ◽  
Weather Station ◽  
Station Data ◽  
Weather Station Data ◽  
Weather Stations

ABSTRACTFor 175 difficult-to-forecast persistent deep slab avalanches, weather data were obtained from Global Environmental Multiscale (GEM) models produced by Environment Canada. The focus was to determine critical parameters and thresholds for avalanche forecasting from GEM and compare them with weather station data analyzed in Part I (Conlan and Jamieson, this issue). The high-resolution GEM-limited-area model (2.5 km resolution) forecasted higher median precipitation amounts than both the lower-resolution GEM15 (15 km resolution) and weather stations within a small dataset. Air temperatures were lower for both weather models compared with the weather station data, likely because of elevation differences. A multivariate classification tree created with GEM15 data correctly classified 29 of 36 avalanches by their primary cause-of-release, using a primary split of modelled solar warming of 5.9°C, 10 cm into the snowpack. For all 175 avalanches, GEM15 forecasted significantly less precipitation than observed at the weather stations, particularly with multi-day cumulative amounts. The majority of GEM15 surface wind speeds were between 0 and 10 km h−1, producing negligible wind loading amounts. The parameter values may be helpful for predicting future persistent deep slab avalanches. However, GEM output is not always representative of field conditions and should be used in conjunction with other sources.

Relationships between macrosynoptic weather types and development of the thermal excess in suburban areas in Debrecen, Hungary

2014 ◽  
Vol 5 (2) ◽  
pp. 167-172
Author(s):  
S. Szegedi ◽  
I. Lázár ◽  
T. Tóth
Keyword(s):  
Reference Station ◽  
Heat Island ◽  
Weather Station ◽  
Automatic Weather Station ◽  
Heat Islands ◽  
Weather Patterns ◽  
Suburban Areas ◽  
Synoptic Conditions ◽  
Urban Heat ◽  
Weather Stations

Impacts of macrosynoptic weather patterns on the development of the thermal excess in suburban areas of Debrecen are examined in this paper. Temperature datasets have been recorded at two heights by three automatic weather stations mounted in Debrecen (east Hungary) and a small settlement in its vicinity. An additional automatic weather station is used as a reference station outside Debrecen. Urban heat island (UHI) intensities have been calculated from the raw datasets. Impacts of synoptic conditions have been analyzed on the base of Péczely’s macrosynoptic types. It has been found that anticyclone types are more favorable from the aspect of UHI development, while cyclone types, especially the passage of warm fronts can effectively hinder the formation of strong heat islands in Debrecen.

scholarly journals A Wi-Fi Based Smart Irrigation Monitoring for an Agricultural Environment

2021 ◽  
Author(s):  
Nikhil Patankar ◽  
Manoli Charmal ◽  
Nikhil Bhaskar ◽  
Swati Janrao ◽  
Aniket Kamble
Keyword(s):  
Real Time ◽  
Crop Yield ◽  
Water Availability ◽  
Precision Agriculture ◽  
Mobile Application ◽  
Human Error ◽  
Weather Data ◽  
Agricultural Environment ◽  
Weather Patterns

A producer who controls irrigation using a smartphone. A firebase that uses weather data to predict when to water crops. Sensors that read how much water is in the soil. From water availability and unpredictable weather patterns to regulations from outside entities, it can be a challenge to irrigate crops. Nowadays IoT has different solutions to overcome with this kind of problem. The particular research targeted successfully by development effected system using NodeMCU, Sensors, firebase, and assertive application. These tools which could conserve a good amount of water, it will become vital to success as the population groves and water availability dries up. The tool works by helping farmers with limited irrigation capacity determine the best time to water their crops. The main ai m of automating the system is to provide a certain amount of water required by crops by monitoring the moisture of soil and surrounding temperature. This obtains with the help of sensors and NodeMCU for interfacing their values. The values are displayed on a mobile application in real-time using Google’s firebase. Irrigation using IoT is a key component of precision agriculture. By changing manual irrigation with automatic valves and systems reduces the human error. Farmer can monitor his crop yield from anywhere at any time.

scholarly journals Evaluation of NASA POWER Reanalysis Products to Estimate Daily Weather Variables in a Hot Summer Mediterranean Climate

Agronomy ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1207
Author(s):  
Gonçalo C. Rodrigues ◽  
Ricardo P. Braga
Keyword(s):  
Wind Speed ◽  
Bias Correction ◽  
Goodness Of Fit ◽  
Mediterranean Climate ◽  
Weather Data ◽  
Coefficient Of Determination ◽  
Mean Bias Error ◽  
Bias Error ◽  
Weather Variables ◽  
Weather Stations

This study aims to evaluate NASA POWER reanalysis products for daily surface maximum (Tmax) and minimum (Tmin) temperatures, solar radiation (Rs), relative humidity (RH) and wind speed (Ws) when compared with observed data from 14 distributed weather stations across Alentejo Region, Southern Portugal, with a hot summer Mediterranean climate. Results showed that there is good agreement between NASA POWER reanalysis and observed data for all parameters, except for wind speed, with coefficient of determination (R2) higher than 0.82, with normalized root mean square error (NRMSE) varying, from 8 to 20%, and a normalized mean bias error (NMBE) ranging from –9 to 26%, for those variables. Based on these results, and in order to improve the accuracy of the NASA POWER dataset, two bias corrections were performed to all weather variables: one for the Alentejo Region as a whole; another, for each location individually. Results improved significantly, especially when a local bias correction is performed, with Tmax and Tmin presenting an improvement of the mean NRMSE of 6.6 °C (from 8.0 °C) and 16.1 °C (from 20.5 °C), respectively, while a mean NMBE decreased from 10.65 to 0.2%. Rs results also show a very high goodness of fit with a mean NRMSE of 11.2% and mean NMBE equal to 0.1%. Additionally, bias corrected RH data performed acceptably with an NRMSE lower than 12.1% and an NMBE below 2.1%. However, even when a bias correction is performed, Ws lacks the performance showed by the remaining weather variables, with an NRMSE never lower than 19.6%. Results show that NASA POWER can be useful for the generation of weather data sets where ground weather stations data is of missing or unavailable.

Associations Between Local Weather Patterns and the Frequency of Sand Enteritis in an East Anglian Equine Hospital

2013 ◽  
Vol 45 ◽  
pp. 16-16
Author(s):  
P.C. Compston ◽  
R. Moran ◽  
E. Packer ◽  
T.R.C. Greet ◽  
C.M. Marr
Keyword(s):  
Weather Patterns ◽  
Local Weather

Generating hourly local weather data with high spatially resolution and the applications in bioclimatic performance

2019 ◽  
Vol 653 ◽  
pp. 1262-1271 ◽  
Author(s):  
Feng-Yi Lin ◽  
Kuo-Tsang Huang ◽  
Tzu-Ping Lin ◽  
Ruey-Lung Hwang
Keyword(s):  
Weather Data ◽  
Local Weather

scholarly journals Atmospheric Oscillations and Related Synoptic Patterns *

1954 ◽  
Vol 35 (7) ◽  
pp. 301-309 ◽  
Author(s):  
William Donn ◽  
Richard Rommer ◽  
Frank Press ◽  
Maurice Ewing
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Weather Data ◽  
Columbia University ◽  
Air Masses ◽  
Cold Fronts ◽  
Squall Lines ◽  
Short Period ◽  
Local Weather

Records from sensitive microbarovariographs installed at Palisades, N. Y., Columbia University in New York City, U. S. Merchant Marine Academy, Kings Point, L. I. have been studied in connection with synoptic and local weather data. A number of interesting pressure events have been noted in connection with the passage of certain synoptic situations, These include pressure pump lines, squall lines, cold fronts and thunderstorms. Low level turbulence or convection associated with certain air masses at certain times is well-recorded by short-period pressure variations. Conclusions regarding the origin of squall lines are drawn from the empirical evidence given.

An Open-Sourced Web Application for Aerial Applicators to Avoid Spray Drift Caused by Temperature Inversion

2021 ◽  
Vol 37 (1) ◽  
pp. 77-84
Author(s):  
Yanbo Huang ◽  
D. K. Fisher
Keyword(s):  
Open Source ◽  
Web Application ◽  
Mississippi Delta ◽  
Temperature Inversion ◽  
Weather Data ◽  
List Type ◽  
Spray Drift ◽  
Atmospheric Conditions ◽  
Weather Stations ◽  
Open Source Hardware

HighlightsA web application for guiding data calculated from distributed weather data through open-source cloud service.A design scheme of portable weather stations built from inexpensive open-source electronics.Integration of open-source hardware and software for online guiding data to avoid drift caused by temperature inversion.Abstract. It is important for agricultural chemical applicators to follow proper spray procedures to prevent susceptible crops, animals, people, or other living organisms from being injured far downwind. Spraying during stable atmospheric conditions should be avoided to prevent surface-temperature inversion-induced off-target drift of crop protection materials. Previous statistical analysis determined times of high likelihood of stable atmospheric conditions, which are unfavorable for spraying, during the day under clear and cloudy conditions in hot summer months in the Mississippi Delta. Results validated the thresholds of temperature increase in the morning and temperature drop in the afternoon with wind speeds and the transition between stable and unstable atmospheric conditions. With this information, an algorithm was developed to calculate if atmospheric conditions were favorable for spraying based on field temperature and wind speed at any instant. With this algorithm, a web application was built to provide real-time determination of atmospheric stability and hourly online recommendation of whether aerial applications were appropriate for a location and time in the Mississippi Delta. This study further developed another web application specifically for Stoneville, Mississippi, with data measured from weather stations constructed from inexpensive open-source electronics, accessories, and software for more accurate online guidance for site-specific drift management. The web application is adapted for accessing on mobile terminals, such as smartphones and tablets, and provides timely guidance for aerial applicators and producers to avoid spray drift and air quality issues long distances downwind in the area. Keywords: Open-source hardware, Open-source software, Spray drift, Temperature inversion, Web application.

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