Topic
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 published on a yearly basis
Papers
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11 Sep 2001
4 citations
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12 May 2008TL;DR: In this paper, the authors proposed several automatic rain and wind measurement fault identification algorithms for surface weather station networks with station spacing around 10-20 km, where the fault identification tests must be tailor-made for dense measurement networks.
Abstract: Future increase in short-term weather forecasting, i.e. nowcasting, products requires denser surface weather station networks than in before. Thus number of measurement stations and points increases also and their fault identification must be more accurate - the fault identification tests must be tailor-made for dense measurement networks. This paper proposes several automatic rain and wind measurement fault identification algorithms for surface weather station networks with station spacing around 10-20 km.
4 citations
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04 Dec 2012TL;DR: This paper proposes an issue of event duration detection and chooses rain as the target event, and proposes a wavelet-based and aging-based method to detect the beginning of the rain event and its duration.
Abstract: Microblog users often post what they observe in the surroundings, making it possible to use such microblog data to perform event detection. In this paper, we propose an issue of event duration detection and choose rain as our target event. Our goal is to construct an online virtual weather station, which reports local weather condition such as rain with the microblog data. Different from previous work focusing on earthquake, rain is a relatively minor event and may continue for a period of time. The virtual station, therefore, needs to detect not only when it starts but also when it finishes. The system trains a classifier to extract the event of interest. A wavelet-based method and aging-based method are proposed to detect the beginning of the rain event and its duration, respectively. Our experiments are conducted on real data, collected from Twitter and online weather stations. The results of experiments show the feasibility of virtual weather system. Our user behavior analysis also explains why the system works.
4 citations
01 Apr 2013
TL;DR: In this article, the spatial and temporal scale down to the weather station of Linguère and analyses the benefits of daily rainfall data compared to annual sums are analyzed for the West African Sahel region.
Abstract: Introduction: In the 20th century, the West African Sahel has been a hot-spot of climatic changes. After severe drought-events in the 1970s and 1980s which were followed by a significant drop in annual precipitation, rainfall seems to increase again during the past years. This study breaks the spatial and temporal scale down to the weather-station of Linguère and analyses the benefits of daily rainfall data compared to annual sums.
4 citations
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TL;DR: In this article , Ding et al. introduced a unique multi-year dataset and the monitoring capability of the PANDA automatic weather station network, which includes 11 automatic weather stations (AWSs) across the Prydz Bay-Amery Ice Shelf-Dome A area from the coast to the summit of the East Antarctic Ice Sheet.
Abstract: Abstract. This paper introduces a unique multiyear dataset and the
monitoring capability of the PANDA automatic weather station network, which
includes 11 automatic weather stations (AWSs) across the Prydz Bay–Amery Ice
Shelf–Dome A area from the coast to the summit of the East Antarctic Ice
Sheet. The ∼ 1460 km transect from Zhongshan to Panda S
follows roughly along ∼ 77∘ E longitude and covers
all geographic units of East Antarctica. Initial inland observations, near
the coast, started in the 1996/97 austral summer. All AWSs in this network
measure air temperature, relative humidity, air pressure, wind speed and
wind direction at 1 h intervals, and some of them can also measure firn
temperature and shortwave/longwave radiation. Data are relayed in near
real time via the Argos system. The data quality is generally very reliable, and
the data have been used widely. In this paper, we firstly present a detailed
overview of the AWSs, including the sensor characteristics, installation
procedure, data quality control protocol and the basic analysis of each
variable. We then give an example of a short-term atmospheric event that
shows the monitoring capacity of the PANDA AWS network. This dataset, which
is publicly available, is planned to be updated on a near-real-time basis and
should be valuable for climate change estimation, extreme weather events
diagnosis, data assimilation, weather forecasting, etc. The dataset is
available at https://doi.org/10.11888/Atmos.tpdc.272721 (Ding
et al., 2022b).
4 citations