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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 spatio-temporal analysis of observed wet and dry spells is carried out for vulnerable and data sparse region of Pakistan (24°−38°N and 61°−78°E).
Abstract: Wet (dry) spells can cause extreme climatic conditions, such as floods (droughts) which can adversely influence the natural resources. A spatio-temporal analysis of observed wet and dry spells is carried out for vulnerable and data sparse region of Pakistan (24°–38°N and 61°–78°E). Observed monthly precipitation data sets from 46 weather station are used for a length of consecutive 32 years (1976−2007). Additionally, after bias adjustment, the Asian Precipitation Highly-Resolved Observational Data Integration Towards Evaluation (APHRODITE) precipitation data set, abbreviated as APH, is utilized to corroborate the findings. For both data sets, a threshold of 1 mm is used to define a wet spell. Decadal variability of precipitation for observed and APH data sets indicates that there is gradual decrease in wet spell length for arid and humid regimes, as compared to semi-arid regimes where there is no change in wet spell length. Monthly dry and wet slope difference (SD), on a log–log plot between number of spells and spell length, is used to classify precipitation regimes in Pakistan, for the first time. A weather station is categorized as humid if SD is less than −2.38 in units of number of spells per length of spells. If SD lies between −2.37 and −0.51, then the weather station is classified as semi-arid and if SD is greater than −0.51, then it is classified as arid. Thus, according to SD classification, 66% of area in Pakistan is arid, whereas 30% (4%) is semi-arid (humid). Comparison of precipitation regimes based upon observed and APH data sets with other climate classification schemes that involve both precipitation and temperature is presented.

21 citations

Proceedings ArticleDOI
TL;DR: In this article, a weather and cloud emissivity monitoring campaign at Co. Chajnantor (5,650m altitude) at Atacama, Chile, was carried out from April 2006 to April 2007.
Abstract: Because of the high transparency in infrared wavelength, Co. Chajnantor (5,650m altitude) at Atacama, Chile, is one of the most promising sites for infrared astronomy in the world. For evaluating the site condition quantitatively we carried out weather and cloud emissivity monitoring campaign from April 2006 to April 2007. The ground-level condition such as wind direction, wind speed, air temperature, and humidity was monitored by a weather station installed at the summit. Cloud emissivity was estimated by mid-infrared sky images taken by a whole-sky infrared camera every five minutes for 24 hours a day, every day. Results are summarized as followings. 1) The weather condition at the summit is slightly harsher than the condition at the Pampa la Bola plateau. Maximum speed of the wind is 35m/s, and minimum temperature is about -10 degree. 2) Fraction of "clear+usable" weather (which is defined as the cloud emissivity < 10%)" is 82% in a year. The fraction decrease to 40-50% on Bolivian winter season, and increases to over 90% from April to July. This is comparable or even better than the other astronomical sites.

21 citations

Journal ArticleDOI
TL;DR: Comparing two different rice simulation models—standalone and web based—with agrometeorological data and agronomic parameters for estimation of rice crop production in southern semi-arid tropics of India shows that SIMRIW requires fine tuning for better results/decision making.
Abstract: The objective of this study was to compare two different rice simulation models—standalone (Decision Support System for Agrotechnology Transfer [DSSAT]) and web based (SImulation Model for RIce-Weather relations [SIMRIW])—with agrometeorological data and agronomic parameters for estimation of rice crop production in southern semi-arid tropics of India Studies were carried out on the BPT5204 rice variety to evaluate two crop simulation models Long-term experiments were conducted in a research farm of Acharya N G Ranga Agricultural University (ANGRAU), Hyderabad, India Initially, the results were obtained using 4 years (1994–1997) of data with weather parameters from a local weather station to evaluate DSSAT simulated results with observed values Linear regression models used for the purpose showed a close relationship between DSSAT and observed yield Subsequently, yield comparisons were also carried out with SIMRIW and DSSAT, and validated with actual observed values Realizing the correlation coefficient values of SIMRIW simulation values in acceptable limits, further rice experiments in monsoon (Kharif) and post-monsoon (Rabi) agricultural seasons (2009, 2010 and 2011) were carried out with a location-specific distributed sensor network system These proximal systems help to simulate dry weight, leaf area index and potential yield by the Java based SIMRIW on a daily/weekly/monthly/seasonal basis These dynamic parameters are useful to the farming community for necessary decision making in a ubiquitous manner However, SIMRIW requires fine tuning for better results/decision making

21 citations

Journal ArticleDOI
TL;DR: In this paper, the authors explored the temporal and spatial variability and change in rainfall across southeastern Mexico and the mechanisms by which smallholder farmers adapt to this variability, especially droughts Members of 150 households in 10 communities were interviewed to investigate adaptation strategies among swidden maize smallholders.

21 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigated the application of the evaporatively-cooled window system in hot and humid climates and assessed its seasonal performance and benefits in terms of energy savings.

21 citations


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