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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: A novel loss function named dual-guided loss (DGL) for ground-based cloud classification in weather station networks is proposed, which could integrate the knowledge of different convolutional neural networks in the process of optimization, which improves the discriminative ability of ground- based cloud feature representations.
Abstract: In this paper, we propose a novel loss function named dual-guided loss (DGL) for ground-based cloud classification in weather station networks. The proposed DGL could integrate the knowledge of different convolutional neural networks (CNNs) in the process of optimization, which improves the discriminative ability of ground-based cloud feature representations. To this end, we add a modulation term into the DGL, which assigns large weights to the hard-classified ground-based cloud samples. As a result, the deep network is forced to pay more attention to these hard-classified samples, and therefore, the performance of the deep network gets improved. We demonstrate the effectiveness of the proposed DGL with the extensive experiments on two ground-based cloud datasets, and the experimental results of the DGL outperform the state-of-the-art methods.

10 citations

Journal ArticleDOI
TL;DR: In this paper, the authors examined the factors influencing the modeling of weather data for carcasses concealed in suitcases, trash cans, and sealable drums, and found that containers concealing a carcass tended to be warmer than the ambient air and increased in temperature with a delay when ambient air temperature was hot, especially for less permeable containers.
Abstract: To produce postmortem interval estimations, forensic experts are often required to model weather conditions prior to the discovery of a cadaver by linking records from a regional meteorological weather station and an on-site portable weather station. Sometimes, however, cadavers are concealed within containers that will not automatically conform to the ambient temperature, thus making modeling more complex. Here, we have examined the factors influencing the modeling of weather data for carcasses concealed in suitcases, trash cans, and sealable drums. Results showed that in situ temperature modeling was facilitated by the use of additive models accounting for the non-linear effect of the time of day due to delays in temperature oscillations between the meteorological weather station and the study site. The containers concealing a carcass tended to be warmer than the ambient air and increased in temperature with a delay when ambient air temperature was hot, especially for less permeable containers. Containers that allowed fly larvae or adults to access the carcass (i.e., suitcases and trash cans) exhibited higher temperatures at smaller postmortem interval values than sealed containers (i.e., drums), which was likely caused by a maggot mass effect. The data collected improve our understanding of the phenomena affecting the modeling of in situ temperature records and of the microhabitat of concealed carcasses. Based on the results, we stress that when forensic modeling involves two sequential steps (i.e., in situ temperature modeling followed by the use of insect developmental curves, decomposition scores, algor mortis equations, etc.), close attention should be given to the first step because its deficiency limits the quality of the predictions from the subsequent step.

10 citations

Journal ArticleDOI
15 Mar 2021-Energy
TL;DR: In this paper, the authors analyzed how the use of a TWY affects the prediction of the energy demand and the peak load in a residential and an office building located in Catania (Italy), if compared to a multi-year approach.

10 citations

Journal ArticleDOI
TL;DR: In this article, the authors developed a general framework for estimating annual averaged power output generation of wind turbines based on general large wind speed data sets, general power curve modeling and general wind speed distributions - possible examples are Weibull, Kappa or Wakeby distributions.

10 citations

Journal ArticleDOI
TL;DR: Wang et al. as mentioned in this paper classified various dust weather types by means of satellite remote sensing over central Asia, and found an exponential relationship between the surface visibility and the satellite-retrieved aerosol optical depth, which was subsequently used to categorize the dust weather.
Abstract: This study categorizes various dust weather types by means of satellite remote sensing over central Asia. Airborne dust particles can be identified by satellite remote sensing because of the different optical properties exhibited by coarse and fine particles (i.e. varying particle sizes). If a correlation can be established between the retrieved aerosol optical properties and surface visibility, the intensity of dust weather can be more effectively and consistently discerned using satellite rather than surface observations. In this article, datasets consisting of collocated products from Moderate Resolution Imaging Spectroradiometer Aqua and surface measurements are analysed. The results indicate an exponential relationship between the surface visibility and the satellite-retrieved aerosol optical depth, which is subsequently used to categorize the dust weather. The satellite-derived spatial frequency distributions in the dust weather types are consistent with China's weather station reports during 2003, indicating that dust weather classification using satellite data is highly feasible. Although the period during the springtime from 2004 to 2007 may be not sufficient for statistical significance, our results reveal an increasing tendency in both intensity and frequency of dust weather over central Asia during this time period.

9 citations


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