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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.


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Journal ArticleDOI
TL;DR: In this paper, a weather classification scheme was coupled with a semi-Markov model to represent the coincident occurrence of rain/no rain states at a single rain gauge and classes representing regional atmospheric circulation patterns, as identified from National Meteorological Center gridded observations for a large area of the North Pacific.
Abstract: A weather classification scheme was coupled with a semi-Markov model to represent the coincident occurrence of rain/no rain states at a single rain gauge and classes representing regional atmospheric circulation patterns, as identified from National Meteorological Center gridded observations for a large area of the North Pacific. Weather classes were identified from daily observations of surface pressure and 850 mb pressure height at five selected ten degree latitude by ten degree longitude cells using a K-means clustering algorithm, which was applied on a month-by-month basis. The number of climate classes, K, for each month was chosen based on a preliminary analysis of the model’s ability to describe statistics of observed precipitation occurrences at the Stampede Pass, Washington weather station. The length of stay distributions within each precipitation occurrence/weather class were assumed to be geometric, and the precipitation amounts for each class and season were fitted with a mixed exponential distribution. Parameters of the length of stay distributions, transition probabilities, and precipitation amounts were estimated from the period of record 1975–84.

26 citations

Journal ArticleDOI
TL;DR: In this article, daily temperature and precipitation amounts that are observed by the Cooperative Observer Program (COOP) were compared among geographically close stations and hourly observations from nearby Automatic Weather Data Network (AWDN) stations were utilized to resolve the discrepancies between the observations during the same period.
Abstract: In this study, daily temperature and precipitation amounts that are observed by the Cooperative Observer Program (COOP) were compared among geographically close stations. Hourly observations from nearby Automatic Weather Data Network (AWDN) stations were utilized to resolve the discrepancies between the observations during the same period. The statistics of maximum differences in temperature and precipitation between COOP stations were summarized. In addition, the quantitative measures of the deviations between COOP and AWDN stations were expressed by root-mean-square error, mean absolute error, and an index of agreement. The results indicated that significant discrepancies exist among the daily observations between some paired stations because of varying observation times, observation error, sensor error, and differences in microclimate exposure. The purpose of this note is to bring attention to the problem and offer guidance on the use of daily observations in the comparison and creation of wea...

26 citations

Proceedings ArticleDOI
W. Chebbi1, M. Benjemaa1, Anas Kamoun1, M. Jabloun, A. Sahli 
22 Mar 2011
TL;DR: This paper aims at the design of a custom low-cost Weather Station hardware and software node (WS-node) for irrigation scheduling in developing countries context, taking into account all particularities of such environments constraints.
Abstract: Recent advances in sensor and wireless radio frequency (RF) technologies offer vast opportunities for development and application of sensor systems for agriculture. It is the concept of precision agriculture, where Wireless Sensor Networks (WSN) is playing an important part in the handling and managing of water resources for irrigation, in understanding the changes in the crops to assess the optimum point for harvesting, in estimating fertilizers requirements and to predict crop performance more accurately. The field micro-climate monitoring is important for crop water requirements determination. Traditional weather stations are expensive, on demand data collection and not flexible for new sensors addition or WSN integration. This paper aims at the design of a custom low-cost Weather Station hardware and software node (WS-node) for irrigation scheduling in developing countries context. These sensors data are transmitted to the DSS (Decision Support System) in a Wireless Sensor Networks (WSN) infrastructure, taking into account all particularities of such environments constraints. Cost factors, field conditions, farmer knowledge, devices availability are the most important ones.

26 citations

Journal ArticleDOI
01 Apr 2019-Energies
TL;DR: In this paper, the authors compared the performance of seven alternative methods with simple averaging as the benchmark using the data of the Global Energy Forecasting Competition 2012 and showed that some of the methods outperformed the benchmark in combining weather stations.
Abstract: Weather is a key factor affecting electricity demand. Many load forecasting models rely on weather variables. Weather stations provide point measurements of weather conditions in a service area. Since the load is spread geographically, a single weather station may not sufficiently explain the variations of the load over a vast area. Therefore, a proper combination of multiple weather stations plays a vital role in load forecasting. This paper answers the question: given a number of weather stations, how should they be combined for load forecasting? Simple averaging has been a commonly used and effective method in the literature. In this paper, we compared the performance of seven alternative methods with simple averaging as the benchmark using the data of the Global Energy Forecasting Competition 2012. The results demonstrate that some of the methods outperform the benchmark in combining weather stations. In addition, averaging the forecasts from these methods outperforms most individual methods.

26 citations

Journal ArticleDOI
TL;DR: In this paper, the effect of using climatological and synoptic atmospheric data commonly available at oceanic locations on the computations of surface fluxes was examined using a 10-year time series of surface meteorological measurements from Ocean Weather Station P (50°N, 145°W).
Abstract: The effect of using climatological and synoptic atmospheric data commonly available at oceanic locations on the computations of surface fluxes was examined. The data used in this study are a 10-year time series of surface meteorological measurements from Ocean Weather Station P (50°N, 145°W). Examination of the cumulative covariances of the quantities used in bulk transfer calculations of fluxes show that to estimate the stress and sensible heat flux requires measurements at intervals of 2 days or less but that long- term averages or less frequent samples may be used to estimate the latent heat flux. A comparison of the values of monthly wind stress and latent beat flux as calculated from the data organized into the format of the Marine Climatic Atlas with the directly calculated values show good agreement between the two methods. The sensible heat flux deviates more seriously, particularity in months of small fluxes. The effect on computing surface fluxes from surface weather chart data was exam...

26 citations


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