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.

Crop Moisture Stress Analysis Using Computer-Controlled Environmental Chambers and Simulated Weather Sequences

Abstract: COMPUTER-CONTROLLED environmental plant growth chambers (PGC) were used to measure responses of water stressed and non-stressed corn and soybeans to simulated weather sequences. Simulated weather was patterned after actual hourly environmental conditions measured during a previous summer with a CR-21 weather station. Seasonal and diurnal crop water use in the PGC was controlled and monitored with an electronic lysimeter and a second computer system. Seasonal crop phenological responses were measured and show a remarkable pattern of stages of growth similar to field plants. LAST DAY measurements seed dry matter and seed number gave from 15.0 to 20.1 g per 100 seed and from 5 to 60 fruits per plant for soybeans. The PGC can be used to elicit the upper and lower limit growth responses to moisture-stress for certain crops.

Análisis de datos climatológicos del área de A Coruña

Abstract: Since the second half of the twentieth century there is evidence that the global climate may be changing, and well-founded suspicions that this change could have its origin in the activities associated with the socio-economic and industrial development of humanity on the planet. The most effective way to evaluate and quantify this climate change is to statistically analyze the past data of different climatological variables, construct mathematical models that explain the behavior of these variables, and check whether the current climate corresponds or not with what the results of those analyses and mathematical models indicate. Based on this idea, many works have already been carried out on a global scale and over broad geographic regions. These works show different results, but they in general tend to corroborate the existence of the mentioned climate change. However, there are not many works carried out on areas of reduced extension such as small towns or villages. Such studies are useful not only to improve the social and economic management of the localities where they are carried out, but also to evaluate the results of works related to larger geographical areas. There are also not many research works comparing two meteorological stations geographically very close to each other. The results that such researches can yield are important since they can be used to determine the influence of factors such as orography or distance to the coast on the local meteorological variables. This paper statistically analyzed the data of temperature and precipitation recorded in the area of the city of A Coruna in the last sixty years. Data from two different and close to each other weather stations were used to adjust explanatory linear models of the climatological variables as a function of both time and location of the specific station from where the data were taken. Later, these models were used to compare the climatic situation of the past decades with the current one. The results of the analysis suggest that the local temperature of A Coruna has followed, over the last decades, an upward trend that remains at the present time and that could even be getting more pronounced. The situation of precipitation, however, is not so clear, and it cannot be inferred from the analysis carried out whether this climatological variable has followed an upward or downward trend.

Wind farm design expert system

Abstract: The utility model provides a wind farm design expert system, which belongs to the technical field of expert system design and comprises an existing wind farm project anemometry data module, an existing wind farm project weather station data module, a new project original input data module for inputting new constructed wind farm original data, a wind source analyzing module, a wind turbine unit data module and a wind turbine unit model selection module. The wind source analyzing module is used for generating a wind source analyzing graph by using original data provided by the new project original input data module and referring to relevant data of multiple existing wind farms near a new constructed wind farm, and the relevant data are provided by the existing wind farm project anemometry data module and the existing wind farm project weather station data module. The wind turbine unit data module is used for building a wind turbine unit data form. The wind turbine unit model selection module recommends an optimum wind turbine unit model and arrangement according to wind source data obtained by analyzing the wind source analyzing module and by adopting wind turbine unit data provided by the wind turbine unit data module. The system solves the technical problem that the wind farm can be designed reasonably and accurately.

Wind resource assessment over Al Duqm industrial area in Oman

Abstract: Al Duqm is an emerging industrial city in the southeastern coast of Oman. Due to its geographical location, wind energy can play an important role to energise the city and its surrounding area. Wind resource mapping is the first step to identify the wind energy potential of the city. In this paper, wind data of Al Duqm weather station was collected and analysed for the period of 2000 to 2012. Wind power density and other important indices were calculated to determine the suitability of Al Duqm for wind energy implementation. Then, the Wind Atlas Analysis and Application Program (WAsP) was used to simulate the annual energy production (AEP) for 1-MW wind turbine over selected region of Al Duqm. WAsP simulation showed that the AEP of the region is about 3.3 GWh at 80 m above the ground.

Self-powered weather station for remote areas and difficult-access locations.

Abstract: Monitoring climate change can be accomplished by deploying Internet of Things (IoT) sensor devices to collect data on various climate variables. Providing continuous power or replacing batteries for these devices is not always available, particularly in difficult-access locations and harsh environments. Here, we propose a design for a self-powered weather station that can harvest energy, decode information using solar cells, and is controlled by a programmable system-on-chip. A series of experimental demonstrations have shown the versatility of the proposed design to operate autonomously.