scholarly journals Weather forecasts - the islands of calmness in the rough TV sea

2021 ◽  
Author(s):  
Stanislava Tsalova
Keyword(s):  
Positive Emotions ◽  
Scientific Information ◽  
Weather Forecast ◽  
Weather Data ◽  
Stress Release ◽  
Weather Forecasts ◽  
The Past ◽  
The People ◽  
Tv Ratings ◽  
Tv Shows

<p>People who are not involved in doing Weather forecast presentations, think that it is something easy to prepare. But it needs experience to present the weather data and forecast, which is scientific information in a way understandable for the TV viewers. Weather forecasts have always been islands of positive emotions in TV programs. </p><p>The past year was very challeging for all TV stations around the world. In all the news and TV shows the main topic was Coronavirus disease. Now, more than ever TV weather forecast's role became to provide some positive emotions to the people who are so much got tired of the bad and scary news on their TVs. The fact is that during the pandemic the TV ratings are higher made our responsibility even bigger.<br><br>While preparing my weather presentations, even in cases of severe weather my top priority was not to scare people, who were scared enough. When showing weather videos, I avoided such with disasters. Instead I showed more wildlife and educational weather videos. Unlike before, in 2020/2021 years I definitely avoided climate change topic. <br><br>While chatting about weather on air with the news and morning shows anchors, the chat had sometimes escalated to bursting into laughter. Unlike before, our viewers approved that highly, because everybody is under pressure now and such stress release things were more than welcome. The weather forecast now became more than ever an island of calmness and hope for a better tomorrow in the rough TV sea.<br><br>I want to share my experience and to exchange opinion on that topic with collegues from other countries and TV stations.<br><br></p>

Some Interim Results of the Study

1982 ◽  
Vol 35 (3) ◽  
pp. 502-516
Author(s):  
R. Monk
Keyword(s):  
North Atlantic ◽  
Weather Forecast ◽  
Air Traffic ◽  
Weather Data ◽  
Weather Forecasts ◽  
Additional Information ◽  
European Cities ◽  
The North ◽  
The North Atlantic ◽  
To Receive

We are still in the process of collecting and developing ways of studying and analysing air traffic routes across the North Atlantic. The results presented in this paper must therefore be recognized as provisional. The data comprise some twelve examples of North Atlantic weather forecasts issued from Bracknell; they are sent to us regularly for the 2nd and 15th day of each month. We have also made arrangements to receive notification from the Heathrow Meteorological Office of any days in which there were significant changes in the weather forecast, so that we can request the additional information from Bracknell. Each set of weather data contains the ‘analysis weather’, that is the best estimate of the actual weather at 1200 GMT, and therefore applicable to the time when aircraft are making westerly departures across the North Atlantic from European cities, and also the weather forecasts issued for 12 and 24 hours before this time.

scholarly journals Next-Day Prediction of Hourly Solar Irradiance Using Local Weather Forecasts and LSTM Trained with Non-Local Data

Energies ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 5258 ◽  
Author(s):  
Byung-ki Jeon ◽  
Eui-Jong Kim
Keyword(s):  
Solar Irradiance ◽  
Short Term Memory ◽  
Predictive Performance ◽  
Weather Forecast ◽  
Weather Data ◽  
Local Data ◽  
Weather Forecasts ◽  
Proposed Model ◽  
International Data ◽  
Limited Input Data

Solar irradiance prediction is significant for maximizing energy-saving effects in the predictive control of buildings. Several models for solar irradiance prediction have been developed; however, they require the collection of weather data over a long period in the predicted target region or evaluation of various weather data in real time. In this study, a long short-term memory algorithm–based model is proposed using limited input data and data from other regions. The proposed model can predict solar irradiance using next-day weather forecasts by the Korea Meteorological Administration and daily solar irradiance, and it is possible to build a model with one-time learning using national and international data. The model developed in this study showed excellent predictive performance with a coefficient of variation of the root mean square error of 12% per year even if the learning and forecast regions were different, assuming that the weather forecast was correct.

scholarly journals Resolution of Probabilistic Weather Forecasts with Application in Disease Management

2017 ◽  
Vol 107 (2) ◽  
pp. 158-162 ◽  
Author(s):  
G. Hughes ◽  
N. McRoberts ◽  
F. J. Burnett
Keyword(s):  
Disease Management ◽  
Mutual Information ◽  
Disease Risk ◽  
Information Gain ◽  
Weather Forecast ◽  
Weather Data ◽  
Specific Information ◽  
Information Theoretic ◽  
Weather Forecasts ◽  
Measuring Change

Predictive systems in disease management often incorporate weather data among the disease risk factors, and sometimes this comes in the form of forecast weather data rather than observed weather data. In such cases, it is useful to have an evaluation of the operational weather forecast, in addition to the evaluation of the disease forecasts provided by the predictive system. Typically, weather forecasts and disease forecasts are evaluated using different methodologies. However, the information theoretic quantity expected mutual information provides a basis for evaluating both kinds of forecast. Expected mutual information is an appropriate metric for the average performance of a predictive system over a set of forecasts. Both relative entropy (a divergence, measuring information gain) and specific information (an entropy difference, measuring change in uncertainty) provide a basis for the assessment of individual forecasts.

scholarly journals Methodology for the Quantification of the Impact of Weather Forecasts in Predictive Simulation Models

Energies ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1309 ◽  
Author(s):  
Eva Lucas Segarra ◽  
Hu Du ◽  
Germán Ramos Ruiz ◽  
Carlos Fernández Bandera
Keyword(s):  
Energy Demand ◽  
Forecast Error ◽  
Weather Forecast ◽  
Building Energy ◽  
Weather Data ◽  
Weather Forecasts ◽  
Hourly Data ◽  
The Future ◽  
The Impact ◽  
Near Future

The use of Building Energy Models (BEM) has become widespread to reduce building energy consumption. Projection of the model in the future to know how different consumption strategies can be evaluated is one of the main applications of BEM. Many energy management optimization strategies can be used and, among others, model predictive control (MPC) has become very popular nowadays. When using models for predicting the future, we have to assume certain errors that come from uncertainty parameters. One of these uncertainties is the weather forecast needed to predict the building behavior in the near future. This paper proposes a methodology for quantifying the impact of the error generated by the weather forecast in the building’s indoor climate conditions and energy demand. The objective is to estimate the error introduced by the weather forecast in the load forecasting to have more precise predicted data. The methodology employed site-specific, near-future forecast weather data obtained through online open access Application Programming Interfaces (APIs). The weather forecast providers supply forecasts up to 10 days ahead of key weather parameters such as outdoor temperature, relative humidity, wind speed and wind direction. This approach uses calibrated EnergyPlus models to foresee the errors in the indoor thermal behavior and energy demand caused by the increasing day-ahead weather forecasts. A case study investigated the impact of using up to 7-day weather forecasts on mean indoor temperature and energy demand predictions in a building located in Pamplona, Spain. The main novel concepts in this paper are: first, the characterization of the weather forecast error for a specific weather data provider and location and its effect in the building’s load prediction. The error is calculated based on recorded hourly data so the results are provided on an hourly basis, avoiding the cancel out effect when a wider period of time is analyzed. The second is the classification and analysis of the data hour-by-hour to provide an estimate error for each hour of the day generating a map of hourly errors. This application becomes necessary when the building takes part in the day-ahead programs such as demand response or flexibility strategies, where the predicted hourly load must be provided to the grid in advance. The methodology developed in this paper can be extrapolated to any weather forecast provider, location or building.

A Portable Weather Station Design Applied in the Smart City

2013 ◽  
Vol 774-776 ◽  
pp. 1853-1858
Author(s):  
Ren Jun Liu ◽  
Zhuo Chen Ge ◽  
Cheng Fan Lin
Keyword(s):  
Pressure Sensor ◽  
Temperature Sensor ◽  
Weather Forecast ◽  
Weather Data ◽  
The Internet ◽  
Weather Station ◽  
Government Officials ◽  
Mountain Area ◽  
The People ◽  
Sensor Temperature

A portable weather station which is a special made device could get current weather data and contact with the server is proposed. The device could make the weather forecast much more accuracy with the data from the weather forecast and current measurement. The humility sensor, pressure sensor, temperature sensor, GPS module and GPRS module are included in the device. With the GPRS network, the device could connect to server though the internet at any time to upload and download the weather documents. Also, government officials can access the data on the website to manage the current weather data and analysis the weather report on the website. Furthermore, this device could offer weather forecast which meets the special needs for the people in the remote or mountain area.

scholarly journals Site-specific analog weather-forecast system for northwest Himalaya, India

2008 ◽  
Vol 49 ◽  
pp. 224-230 ◽  
Author(s):  
Dan Singh ◽  
Amreek Singh ◽  
Ashwagosha Ganju
Keyword(s):  
Weather Forecasting ◽  
Forecast Accuracy ◽  
Weather Forecast ◽  
Analog Model ◽  
Site Specific ◽  
Northwest Himalaya ◽  
Weather Forecasts ◽  
The Past ◽  
Weather Events ◽  
Weather Situation

AbstractIn an analog weather-forecasting procedure, recorded weather in the past analogs corresponding to the current weather situation is used to predict future weather. Consistent with the procedure, a theoretical framework is developed to predict weather at a specific site in the Pir Panjal range of the northwest Himalaya, India, using surface weather observations of the past ten winters (1991/92 to 2001/02) 3 days in advance. Weather predictions were made as snow day with quantitative snowfall category or no-snow day, for day1 through day3. As currently deployed, the procedure routinely provides a 3 day point weather forecast as guidance information to a weather and avalanche forecaster. Forecasts by analog model are evaluated by the various accuracy measures achieved for an independent dataset of three winters (2002/03 to 2004/05). The results indicate that weather forecasts by analog model are quite reliable, in that forecast accuracy corresponds closely to the relative frequencies of observed weather events. Moreover, qualitative weather (snow day or no-snow day) and quantitative categorical snowfall forecasts (quantitative snowfall category for snow day) are better than reference forecasts based on persistence and climatology for day1 predictions. Site-specific snowfall forecast guidance may play a major role in assessing avalanche danger, and accordingly formulating an avalanche forecast for a given area in advance.

WEATHER FORECAST PERCEPTIONS OF SAUDI ARABIAN CITIZENS: INITIAL STEPS TOWARDS BUILDING EXTREME WEATHER FORECASTING COMMUNICATION TECHNOLOGY

2021 ◽  
Author(s):  
Abdulrahman Khamaj ◽  
Amin G. Alhashim ◽  
Vincent T. Ybarra ◽  
Azham Hussain
Keyword(s):  
Weather Forecasting ◽  
Middle Eastern ◽  
Protective Action ◽  
Weather Forecast ◽  
Weather Data ◽  
Cross Sectional ◽  
Daily Lives ◽  
Weather Forecasts ◽  
The Public ◽  
Public Perspective

AbstractCommunicating weather forecasts from the public perspective is essential for meeting people’s needs and enhancing their overall experiences. Due to the lack of cited work on the public’s behavior and perception of weather data and delivery sources in Middle Eastern countries such as Saudi Arabia (KSA), this study employs a cross-sectional questionnaire to fill the gap and apply the Protective Action Decision Model to non-Western individuals. The questionnaire examined respondents’ opinions about 1) the importance of weather forecast accessibility, 2) crucial weather features, and 3) available features on existing smartphone weather applications (apps) in KSA. The results showed that nearly all participants reported that their decisions of daily lives and activities were highly dependent on weather forecasts. Most participants thought weather forecast features are necessary. Though the most commonly used source for weather forecasts in KSA was smartphone apps, many participants responded that these apps were lacking specific weather functionalities (e.g., giving weather alerts to their exact location). Regression analyses found that KSA individuals who do not believe that weather forecasts are important are predicted by 1) not wanting any new features added to weather applications and 2) that weather forecasts do not impact lives nor property. This study’s findings can guide governmental and private weather agencies in KSA and other Middle Eastern or developing countries to better understand how to meet and communicate people’s weather needs.

Suicidal Behavior in Black South Africans

Crisis ◽  
2003 ◽  
Vol 24 (1) ◽  
pp. 24-28 ◽  
Author(s):  
Lourens Schlebusch ◽  
Naseema B.M. Vawda ◽  
Brenda A. Bosch
Keyword(s):  
South African ◽  
Suicidal Behavior ◽  
Health Care Facilities ◽  
South African Society ◽  
South Africans ◽  
The Past ◽  
The People ◽  
Care Facilities ◽  
Black South Africans ◽  
To Come

Summary: In the past suicidal behavior among Black South Africans has been largely underresearched. Earlier studies among the other main ethnic groups in the country showed suicidal behavior in those groups to be a serious problem. This article briefly reviews some of the more recent research on suicidal behavior in Black South Africans. The results indicate an apparent increase in suicidal behavior in this group. Several explanations are offered for the change in suicidal behavior in the reported clinical populations. This includes past difficulties for all South Africans to access health care facilities in the Apartheid (legal racial separation) era, and present difficulties of post-Apartheid transformation the South African society is undergoing, as the people struggle to come to terms with the deleterious effects of the former South African racial policies, related socio-cultural, socio-economic, and other pressures.

The Local Government of Kulon Progo Regency Innovation in Subduing Capitalism through Community Empowerment

2020 ◽  
Vol 4 (2) ◽  
pp. 229
Author(s):  
Muhammad Eko Atmojo ◽  
Helen Dian Fridayani
Keyword(s):  
Qualitative Method ◽  
Positive Impact ◽  
Community Empowerment ◽  
Case Study Approach ◽  
Study Approach ◽  
The Past ◽  
The People ◽  
District Government ◽  
The Government

Kulon Progo Regency is one of the districts that has many innovations, one of which is community empowerment in collaboration with a modern shop abbreviated as the shop name owned by the people (tomira). This research was motivated by the achievements of the Kulon Progo district government in carrying out development and innovation in the development of the Kulon Progo region by fully involving the Kulon Progo district community through community empowerment. This initiative was taken by the government of Kulon Progo Regency to improve community empowerment and protect the people of Kulon Progo Regency from various economic threats. Considering that in the past few years many modern shops have mushroomed in each district/city, so this is what makes Kulon Progo Regency move quickly to empower the community by collaborating between MSMEs or cooperative with modern shops. This study uses a qualitative method which case study approach. With the empowerment that has been done, the original products of Kulon Progo Regency or local products can be traded in modern stores so that local products in Kulon Progo Regency can compete with national products in these modern stores. The existence of such cooperation will indirectly improve the image of Kulon Progo Regency and lift the original products of Kulon Progo Regency. The lifting of the original products of Kulon Progo Regency will have a positive impact on the community, where indirectly the economy of the community will increase so that there will be prosperity for the community. Kabupaten Kulon Progo adalah salah satu kabupaten yang memiliki banyak inovasi, salah satunya adalah pemberdayaan masyarakat bekerja sama dengan toko modern disingkat nama toko yang dimiliki oleh masyarakat (tomira). Penelitian ini dilatarbelakangi oleh pencapaian pemerintah kabupaten Kulon Progo dalam melakukan pengembangan dan inovasi dalam pengembangan wilayah Kulon Progo dengan melibatkan sepenuhnya masyarakat kabupaten Kulon Progo melalui pemberdayaan masyarakat. Inisiatif ini diambil oleh pemerintah Kabupaten Kulon Progo untuk meningkatkan pemberdayaan masyarakat dan melindungi masyarakat Kabupaten Kulon Progo dari berbagai ancaman ekonomi. Menimbang bahwa dalam beberapa tahun terakhir banyak toko-toko modern telah menjamur di setiap kabupaten/kota, jadi inilah yang membuat Kabupaten Kulon Progo bergerak cepat untuk memberdayakan masyarakat dengan berkolaborasi antara UMKM atau bekerjasama dengan toko-toko modern. Penelitian ini menggunakan metode penelitian kualitatif dengan pendekatan studi kasus, dengan metode yang digunakan adalah dokumentasi. Dengan pemberdayaan yang telah dilakukan, produk asli Kabupaten Kulon Progo atau produk lokal dapat diperdagangkan di toko modern sehingga produk lokal di Kabupaten Kulon Progo dapat bersaing dengan produk nasional di toko modern ini. Adanya kerjasama tersebut secara tidak langsung akan meningkatkan citra Kabupaten Kulon Progo dan mengangkat produk asli Kabupaten Kulon Progo. Pencabutan produk asli Kabupaten Kulon Progo akan berdampak positif bagi masyarakat, di mana secara tidak langsung perekonomian masyarakat akan meningkat sehingga akan ada kesejahteraan bagi masyarakat.

(Anamnesis) Revolting Bodies: “Le Forgeron” and the Poetry of the Past

2018 ◽  
Author(s):  
Robert St. Clair
Keyword(s):  
Victor Hugo ◽  
The Political ◽  
The Past ◽  
The People ◽  
Political Struggles ◽  
Louis Xvi

weChapter 4 takes up the question of poetry and engagement at its most explicit and complex in Rimbaud, focusing on a long, historical epic entitled “Le Forgeron.” We read this poem, which recreates and re-imagines a confrontation between the People in revolt and Louis XVI in the summer of 1792, as Rimbaud’s attempt to add a revolutionary supplement to the counter-epics modeled by Victor Hugo in Châtiments. Chapter 4 shows how Rimbaud’s “Forgeron” challenges us to examine the ways in which a poem might seek “to enjamb” the caesura between poiesis and praxis by including and complicating revolutionary (counter)history into its folds in order to implicate itself in the political struggles of its time.

Sign in / Sign up

Export Citation Format

Share Document