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.

A Zigbee based smart sensing platform for monitoring environmental parameters

Abstract: The ability to monitor environmental conditions is crucial to research in fields ranging from climate variability to agriculture and zoology. Being able to document baseline and changing environmental parameters over time is increasingly essential important and researchers are relying more and more on unattended weather stations for this propose. A Zigbee Based Smart Sensing Platform for Monitoring Environmental Parameters has been designed and developed. The smart weather station consists of SiLab C8051F020 microcontroller based measuring units which collect the value of the temperature, relative humidity, pressure and sunlight. These units send their data wireless to a central station, which collects the data, stores and displays them into a database. The facility of adding a few more sensors and a few more stations has been provided.

Low cost weather station for climate-smart agriculture

Abstract: Climate-smart agriculture is one of the techniques that maximizes agricultural outputs through proper management of inputs based on climatological conditions. Real-time weather monitoring system is an important tool to monitor the climatic conditions of a farm because many of the farms related problems can be solved by better understanding of the surrounding weather conditions. There are various designs of weather monitoring stations based on different technological modules. However, different monitoring technologies provide different data sets, thus creating vagueness in accuracy of the weather parameters measured. In this paper, a weather station was designed and deployed in an Edamame farm, and its meteorological data are compared with the commercial Davis Vantage Pro2 installed at the same farm. The results show that the lab-made weather monitoring system is equivalently efficient to measure various weather parameters. Therefore, the designed system welcomes low-income farmers to integrate it into their climate-smart farming practice.

Combination clock radio, weather station and message organizer

Abstract: A combination clock radio, weather station and message organizer located in the base unit (20) having a visual display (80), a controller located in the base unit including a central processor (68) for controlling operation of the combination, and a temperature sensor (22) for obtaining outdoor temperature readings, the temperature sensor (22) being in communication with the controller. The controller is adapted to present a hue on the visual display (80) that is a function of the outdoor temperature reading. The combination may also include a pressure sensor in communication with the controller for monitoring a rate of change in atmospheric pressure and providing a weather forecast animation 132 that is a function of the changes in the atmospheric pressure.

Irrigation controller with weather station

Abstract: An irrigation control module is described that adjusts a watering schedule for a connected irrigation controller based on weather data provided by a local weather station. The irrigation control module can add additional weather-based irrigation schedule adjustments to an irrigation controller that may otherwise lack the hardware (e.g., wireless transmitter, sufficient memory) and software (e.g., evapotranspiration algorithms) to store and interpret weather data from a weather station.

Gridded daily weather data for North America with comprehensive uncertainty quantification.

Abstract: Access to daily high-resolution gridded surface weather data based on direct observations and over long time periods is essential for many studies and applications including vegetation, wildlife, soil health, hydrological modelling, and as driver data in Earth system models. We present Daymet V4, a 40-year daily meteorological dataset on a 1 km grid for North America, Hawaii, and Puerto Rico, providing temperature, precipitation, shortwave radiation, vapor pressure, snow water equivalent, and day length. The dataset includes an objective quantification of uncertainty based on strict cross-validation analysis for temperature and precipitation results. The dataset represents several improvements from a previous version, and this data descriptor provides complete documentation for updated methods. Improvements include: reductions in the timing bias of input reporting weather station measurements; improvement to the three-dimensional regression model techniques in the core algorithm; and a novel approach to handling high elevation temperature measurement biases. We show cross-validation analyses with the underlying weather station data to demonstrate the technical validity of new dataset generation methods, and to quantify improved accuracy. Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14538075