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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
12 May 2009
TL;DR: In this paper, a more physically representative approach to adjust wind speeds at various heights and various weather measurement surface conditions to equivalent wind speed at 2 m height over clipped grass is tested.
Abstract: The ASCE Standardized Reference Evapotranspiration Equation expects the weather station wind speed data to represent that occurring at a height of 2 m over and downwind of a smooth measurement surface such as clipped grass. The Task Committee on the Standardized Equation provided guidance for adjusting wind speed measured at height other than 2 m, or, for situations when the wind speed is measured over and downwind of 0.5 m alfalfa. The latter adjustment attempts to account for the effects of both grass and alfalfa crop characteristics (height, roughness) on the wind profile. A more physically representative approach to adjust wind speeds at various heights and various weather measurement surface conditions to equivalent wind speed at 2 m height over clipped grass is tested. Wind speeds were simultaneously measured during the 2008 growing season at 2-m and 3-m heights above ground surface over variable height alfalfa at two Colorado Agricultural Meteorological Network (CoAgMet) electronic weather stations and at the research alfalfa lysimeter installation at the Colorado State University Arkansas Valley Research Center. These wind speed measurements were adjusted to estimated wind speed at 2 m over grass, and compared.

5 citations

Patent
18 Jan 2017
TL;DR: The utility model belongs to intelligence house field relates to an intelligence house type weather station device based on cloud platform as discussed by the authors, which is suitable for the monitoring and remote control that realize intelligent house environment.
Abstract: The utility model belongs to intelligence house field relates to an intelligence house type weather station device based on cloud platform. Including indoor acquisition station, outdoor acquisition station, treater, data transmission, cloud platform, intelligent terminal, user, intelligent household equipment. Because the utility model discloses a communications network has adopted the wireless networking technology of GPRS to replace traditional wire transmission mode for the system does not have tradition wiring cost. Owing to use the cloud platform to go on showing in real time and saving the weather station data, has saved the cost of buildding network platform and development dedicated platform. Because the utility model discloses formaldehyde sensor, the sound level sensor of the house environmental monitoring of being convenient for have been equipped with. Be suitable for the monitoring and the remote control that realize intelligent house environment.

5 citations

Proceedings ArticleDOI
21 May 2012
TL;DR: The Bulgarian National Operational Marine Observing System (NOMOS) as mentioned in this paper is a system of systems designed to allow the real-time assessment of weather and marine conditions in the coastal, shelf and open sea areas of the western part of Black Sea.
Abstract: The Bulgarian National Operational Marine Observing System (NOMOS) is a system of systems designed to allow the real-time assessment of weather and marine conditions in the coastal, shelf and open sea areas of the western part of Black Sea. NOMOS consists of several subsystems: POMOS, Galata, Shkorpilovtci, BulSeaL and BulARGO. POMOS is an observing system located in the ports (14 measuring sites, 45 instruments, 14 weather and seastate parameters), designed to provide weather and sea state operational information for the areas of major Bulgarian ports (Varna, Burgas and Balchik), intended to secure safety shipping in ports, canals and bays. Galata is a platform which provides open sea Real-time meteorological and oceanographic information from 24 sensors, measuring 31 major oceanographic and meteorological parameters. Shkorpilovtci is a coastal oceanographic station compiling: weather station, sea level gauge, UV radiation sensor and Recording Doppler Current Profiler with wave sensor. BulSeaL is a network of sea level stations including four historical sites, measuring sea level from more than 80 years. BulARGO is a set of Argo floats deployed in the frame if the project supported by Bulgarian National Science Fund, Ministry of education, youth and science. The purpose of the BulARGO project is to develop a new national marine research infrastructure for in situ observation in Black Sea based on autonomous profiling floats as a Bulgarian component of the Euro Argo network. These subsystems collect real time data using various instruments and sensors placed at different strategic locations. All instruments are connected to communication system via intranet which provides direct access to the sensors. The measured data are transmitted to the central collecting system, where the information is processed and stored in database. Access to database is through internet/intranet with the help of browsers. Actual data is controlled by Data Management System an can be displayed on the computer screens using report server supporting thereby needs of different group of users. Next future development will be to install new system which includes five open sea moorings equipped with meteorological and oceanographic sensors as well as with seismometers as a main component of a marine hazards early warning system. The main goal of NOMOS is to support sustainable development of the Bulgarian Black Sea coast and EEZ, and the main task is to provide operational information for the needs of: national security, civil protection, Search and Rescue, government and local authorities, port authorities, shipping, marine industry, fishery and aquaculture, tourist industry, environmental protection, coast protection, oil spills combat and other interested. NOMOS real time data is one of the most important sources of multi-parameter operational information in the Black Sea which will serve for monitoring, verification and improvement of model results and forecasts as well as for collecting long time series of data needed for climatic research, marine physics, chemistry and biology. Free real time data access and developed user friendly WEB and WAP interfaces made the system useful not only for science, marine industry and governmental agencies but also for general public, especially for yachtsmen and windsurfers.

5 citations

Journal ArticleDOI
TL;DR: This article presents the data collected through an extensive research work conducted in a historic hilly town in central Italy during the period 2016–2017, to confirm the existing correlation between the urban forms and functionalities and the corresponding local microclimate conditions, also generated by anthropogenic actions.

5 citations

Journal ArticleDOI
TL;DR: In this article, the authors used trail cameras, closed-circuit television (CCTV), weather stations, and interviews at boat ramps that bracket an offshore Marine Park to monitor marine recreational fishers at sub-bio-regional scales.
Abstract: When monitoring marine recreational fishers at sub-bio-regional scales—for example those who are accessing a Marine Park—on-site sampling is often required. This poses various logistical challenges, such as the efficient timing of intercept interviews. Here, we examine these challenges, combining trail cameras, closed-circuit television (CCTV), weather stations, and interviews at boat ramps that bracket an offshore Marine Park. Trail camera results were similar to those from a CCTV system co-located at one of the boat ramps. Fishers’ boat launches peaked early, but return times varied considerably by ramp and weather. Both the numbers of launches and trip durations were strongly responsive to good weather, particularly at ramps used for offshore fishing. Weather was a more important factor to predict the likelihood of intercept interview opportunities than holiday period, which may reflect changing dynamics in work culture and improvements in weather prediction. Interviewed fishers reported preferences to individual ramps over the fishing season and nearly all trips to the Marine Park were reported by fishers accessing just one ramp. The strong relationships between fishing, weather, and ramp, observed by the trail camera and correlated with the weather station data, may allow for the efficient targeting of intercept interviews and potentially the modelling of fishing effort.

5 citations


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