Metop-C deployment and start of three-satellite operations

2020 ◽  
Vol 124 (1276) ◽  
pp. 902-916
Author(s):  
P.L. Righetti ◽  
J.M. de Juana Gamo ◽  
F. Sancho
Keyword(s):  
Real Time ◽  
Fuel Management ◽  
Time Data ◽  
International Agencies ◽  
The Third ◽  
Mission Duration ◽  
Operational Life ◽  
Real Time Data ◽  
Space Segment ◽  
Selection Of

ABSTRACTMetop is the space segment of the EUMETSAT Polar System (EPS), which provides real-time data to several European meteorological services as well as to the National Oceanic and Atmospheric Administration (NOAA) and other international agencies. The third Metop satellite, Metop-C, was launched on 7 November 2018 and shall enter in operations in few months, once the on-going commissioning of the meteorological products is completed. Each Metop satellite was designed to operate at least five years. A sequential deployment of the satellites was foreseen to achieve the target mission duration of 15 years, replacing an old one at end of life with a newer one; thanks to the excellent performances of the launchers and of the platform itself, and to continuous improvements to the fuel management, it was possible to extend the operational life of each satellite by a factor of three, still maintaining enough fuel to perform safe de-orbiting operations (foreseen for Metop-A, launched in 2006, at the end of 2021). This provided the opportunity to develop in 2012 (after Metop-B launch) dual-satellite products, which now, with the arrival of Metop-C, can evolve to tri-satellite; several decisions, concerning the selection of launch date and time as well as commissioning and operational locations, had to be been taken to achieve the target configuration; the analyses leading to these decisions are discussed here.

scholarly journals Wind Power Integration: An Experimental Investigation for Powering Local Communities

Energies ◽  
2019 ◽  
Vol 12 (4) ◽  
pp. 621 ◽  
Author(s):  
Mazhar Hussain Baloch ◽  
Dahaman Ishak ◽  
Sohaib Tahir Chaudary ◽  
Baqir Ali ◽  
Ali Asghar Memon ◽  
...  
Keyword(s):  
Real Time ◽  
Local Communities ◽  
Time Data ◽  
Wind Rose ◽  
The Real ◽  
Wind Power Integration ◽  
Course Of Action ◽  
Wind Potential ◽  
Real Time Data ◽  
Selection Of

The incorporation of wind energy as a non-conventional energy source has received a lot of attention. The selection of wind turbine (WT) prototypes and their installation based on assessment and analysis is considered as a major problem. This paper focuses on addressing the aforementioned issues through a Weibull distribution technique based on five different methods. The accurate results are obtained by considering the real-time data of a particular site located in the coastal zone of Pakistan. Based on the computations, it is observed that the proposed site has most suitable wind characteristics, low turbulence intensity, wind shear exponent located in a safe region, adequate generation with the most adequate capacity factor and wind potential. The wind potential of the proposed site is explicitly evaluated with the support of wind rose diagrams at different heights. The energy generated by ten different prototypes will suggest the most optimum and implausible WT models. Correspondingly, the most capricious as well as optimal methods are also classified among the five Weibull parameters. Moreover, this study provides a meaningful course of action for the selection of a suitable site, WT prototype and parameters evaluation based on the real-time data for powering local communities.

Technology, Nature, Software and Networks: Materializing the Post-Romantic Landscape

Leonardo ◽  
2011 ◽  
Vol 44 (2) ◽  
pp. 101-106 ◽  
Author(s):  
Chris Welsby
Keyword(s):  
New Media ◽  
Real Time ◽  
Large Scale ◽  
Natural World ◽  
Time Data ◽  
Real Time Data ◽  
Weather Stations ◽  
Selection Of ◽  
Made In ◽  
Media Installation

The author began making films and installations in the early 1970s. Although he has worked across a range of media, he has always concentrated on one particular theme that he conceptualizes as a two-sided question: How do we see ourselves in relation to the natural world, and how should we position our selves and our technologies within it? This essay traces some of the threads of these seminal ideas through a selection of works made in the years between 1974 and 2009. The author concludes with a detailed description of Tree Studies, a large-scale new media installation powered by real-time data from weather stations around the planet.

399-P: Nurse-Driven Intervention Using Real-Time Data to Improve Hypoglycemia Rates in a Respiratory Care Unit

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 399-P
Author(s):  
ANN MARIE HASSE ◽  
RIFKA SCHULMAN ◽  
TORI CALDER
Keyword(s):  
Real Time ◽  
Respiratory Care ◽  
Time Data ◽  
Real Time Data

MHA releases largest real‐time data from MH help‐seekers

2021 ◽  
Vol 31 (6) ◽  
pp. 7-7
Author(s):  
Valerie A. Canady
Keyword(s):  
Real Time ◽  
Time Data ◽  
Real Time Data

Why Ecological Momentary Assessment Surveys Go Incomplete?: When It Happens and How It Impacts Data

2020 ◽  
Author(s):  
Yu-Hsiang Wu ◽  
Jingjing Xu ◽  
Elizabeth Stangl ◽  
Shareka Pentony ◽  
Dhruv Vyas ◽  
...  
Keyword(s):  
Real Time ◽  
Self Report ◽  
Data Logging ◽  
Time Data ◽  
Real Time Data ◽  
Report Data ◽  
Self Report Data ◽  
Ecological Momentary ◽  
The Impact ◽  
Momentary Assessment

Abstract Background Ecological momentary assessment (EMA) often requires respondents to complete surveys in the moment to report real-time experiences. Because EMA may seem disruptive or intrusive, respondents may not complete surveys as directed in certain circumstances. Purpose This article aims to determine the effect of environmental characteristics on the likelihood of instances where respondents do not complete EMA surveys (referred to as survey incompletion), and to estimate the impact of survey incompletion on EMA self-report data. Research Design An observational study. Study Sample Ten adults hearing aid (HA) users. Data Collection and Analysis Experienced, bilateral HA users were recruited and fit with study HAs. The study HAs were equipped with real-time data loggers, an algorithm that logged the data generated by HAs (e.g., overall sound level, environment classification, and feature status including microphone mode and amount of gain reduction). The study HAs were also connected via Bluetooth to a smartphone app, which collected the real-time data logging data as well as presented the participants with EMA surveys about their listening environments and experiences. The participants were sent out to wear the HAs and complete surveys for 1 week. Real-time data logging was triggered when participants completed surveys and when participants ignored or snoozed surveys. Data logging data were used to estimate the effect of environmental characteristics on the likelihood of survey incompletion, and to predict participants' responses to survey questions in the instances of survey incompletion. Results Across the 10 participants, 715 surveys were completed and survey incompletion occurred 228 times. Mixed effects logistic regression models indicated that survey incompletion was more likely to happen in the environments that were less quiet and contained more speech, noise, and machine sounds, and in the environments wherein directional microphones and noise reduction algorithms were enabled. The results of survey response prediction further indicated that the participants could have reported more challenging environments and more listening difficulty in the instances of survey incompletion. However, the difference in the distribution of survey responses between the observed responses and the combined observed and predicted responses was small. Conclusion The present study indicates that EMA survey incompletion occurs systematically. Although survey incompletion could bias EMA self-report data, the impact is likely to be small.

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