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
More filters
TL;DR: In this article, the authors analyzed the cyclic characteristics of typical gas burning furnaces and used four Data Mining Algorithms (DMAs) including k-Nearest Neighbors (KNN), Naive Bayes (NB), Support Vector Machines (SVM) and Artificial Neural Networks (ANN) to analyze the relationship between cycle idle time and weather conditions.
17 citations
Patent•
12 Aug 2014
TL;DR: In this paper, a portable weather station, including an upper body portion, a lower body portion and a plurality of weather condition sensors, is mounted on the lower body of the portable station.
Abstract: A portable weather station, including an lower body portion; an upper body portion disposed on the lower body portion in a spaced apart relationship thereby forming an open channel between the upper body portion and the lower body portion; and a plurality of weather condition sensors wherein a first set of one or more of the plurality of weather condition sensors is mounted on the upper body portion of the portable weather station and a second set of one or more of the plurality of weather condition sensors is mounted on the lower body portion of the portable weather station.
17 citations
01 Jan 2001
TL;DR: The CLIGEN database contains some errors in the data and did not include many climate stations in mountainous areas where most forests are located and where climate is highly variable as mentioned in this paper, and the database was expanded from 1,100 stations to more than 2,600.
Abstract: The Water Erosion Prediction Project (WEPP) model is a state-of-the-art soil erosion model applicable to a
wide range of vegetation, soil, and climatic conditions. The CLIGEN weather generator is distributed with
WEPP. The CLIGEN database contained some errors in the data and did not include many climate stations in
mountainous areas where most forests are located and where climate is highly variable. Errors in the database
were identified and corrected. The database was expanded from 1,100 stations to more than 2,600. In addition,
the ability to modify the statistics for a climate station has been developed to allow users to enter their own
weather station statistics into a web-based computer interface. Users can enter specific values, change existing
values by a percentage, modify the annual amount, or adjust temperatures with elevation. The PRISM monthly
precipitation database was incorporated into the interface to aid users in predicting climates at remote sites. The
designated changes are made to an existing CLIGEN parameter file to generate a modified climate file. The
modified climate file may be selected for use with a Forest Service WEPP interface, or it may be used to
generate a climate file for use with the WEPP model. The enhancements can be accessed from a web site.
17 citations
Journal Article•
TL;DR: In this paper, the relationship between the normalized difference vegetation index (NDVI) obtained for 2,854 sugarcane farmers' fields and rainfall patterns in northeastern Thailand was evaluated.
Abstract: Cane growth in rain-fed sugarcane production, with an abrupt end to rainfall months before harvest, could differ from what is known in better-studied systems. Therefore, we evaluated the relationship between the normalized difference vegetation index (NDVI) from the Moderate Resolution Imaging Spectrometer (MODIS) obtained for 2,854 sugarcane farmers’ fields and rainfall patterns in northeastern Thailand. Temporal changes of NDVI were related to rainfall patterns. The regional monthly average NDVI and the regional monthly average rainfall, calculated by averaging weather station data representing four individual provinces in the region were linearly related (r 2 = 0.867, p<0.001) during the rainy season. Similarly, the average monthly MODIS NDVI for farmers’ fields situated within a five km radius of the weather stations representing sugarcane management zones, was significantly related to monthly rainfall for both individual weather stations and average weather station data. Neither average rainfall nor average MODIS NDVI was related to the average sugarcane yield of the farmers’ fields situated within the five km radius of the nine weather stations. On a larger scale, MODIS NDVI had a positive correlation (r = 0.565) with yield when averaged across all nine management zones, but only for the rainy-season planting. Commercial pre-harvest yield prediction would likely need to be made between the end of the rainy season (mid-October) and mid-January. Our results showed that NDVI is a confounded measurement during this evaluation period which is associated with the differences in both plant biomass and cane maturity. Once the rainy season ends, NDVI declines while stalk weight increases. Therefore, NDVI-based yield predictions may be difficult even with higher quality imagery.
17 citations
TL;DR: In this article, the authors explored the validity of UWG processed open weather data (i.e., World Weather Online and Open Weather Map datasets) and showed that increasing building construction, which results in increased building footprint density in the studied area, increases cooling consumption of the representative residential building by more than 11,000kWh under certain conditions.
17 citations