scholarly journals Passive Method for Monitoring Atmospheric Phenomena by Evaluating the Cellular Network Signals

2020 ◽  
Author(s):  
Michal Kuba ◽  
Peter Fabo ◽  
Dušan Podhorský ◽  
Dagmar Faktorová ◽  
Adriana Savin
Keyword(s):  
Cellular Network ◽  
Weather Forecasting ◽  
Lower Layer ◽  
Elementary Theory ◽  
Monitoring And Evaluation ◽  
Forecasting Models ◽  
Adjacent Part ◽  
The Subject ◽  
Weather Stations ◽  
Atmospheric Phenomena

An integral part of our environment in addition to the surface of the Earth is the adjacent part of the atmosphere, the lower layer of the troposphere. This part of the troposphere has essential influence on weather evolution and information on its condition is an important part of the weather forecasting models. Standard methods of the data acquisition such as radars, satellites and weather stations do not provide information with sufficiently high temporal and spatial resolution. The subject of the article is a method of monitoring the condition of lower layers of the troposphere by passive monitoring and evaluation the parameters of cellular network signals. The elementary theory of an virtual sensor for the atmospheric radio refractive index monitoring and the preliminary results of experimental monitoring of the selected meteorological situation are presented.

scholarly journals From heliophysics to space weather forecasts

2019 ◽  
Vol 60 (5) ◽  
pp. 5.26-5.30
Author(s):  
Richard Harrison ◽  
Jackie Davies ◽  
Jonny Rae
Keyword(s):  
Space Weather ◽  
Weather Forecasting ◽  
Weather Forecasts ◽  
Space Weather Forecasting ◽  
New Space ◽  
The Subject

Abstract Richard Harrison, Jackie Davies and Jonny Rae summarize progress in capitalizing on UK expertise in research and instrumentation for new space weather forecasting – the subject of an RAS Discussion Meeting in March.

scholarly journals A brief history of the development of wind-profiling or MST radars

2000 ◽  
Vol 18 (7) ◽  
pp. 740-749 ◽  
Author(s):  
T. E. Van Zandt
Keyword(s):  
Gravity Waves ◽  
Weather Forecasting ◽  
Acoustic Sounding ◽  
Practical Applications ◽  
Radio Science ◽  
Meteorology And Atmospheric Dynamics ◽  
Mst Radar ◽  
History Of ◽  
Instruments And Techniques ◽  
Atmospheric Phenomena

Abstract. The history of the development of the wind-profiling or MST radar technique is reviewed from its inception in the late 1960s to the present. Extensions of the technique by the development of boundary-layer radars and the radio-acoustic sounding system (RASS) technique to measure temperature are documented. Applications are described briefly, particularly practical applications to weather forecasting, with data from networks of radars, and scientific applications to the study of rapidly varying atmospheric phenomena such as gravity waves and turbulence.Key words: Meteorology and atmospheric dynamics (instruments and techniques) · Radio science (remote sensing; instruments and techniques)

CHAOS AND WEATHER FORECASTING: THE ROLE OF THE UNSTABLE SUBSPACE IN PREDICTABILITY AND STATE ESTIMATION PROBLEMS

2011 ◽  
Vol 21 (12) ◽  
pp. 3389-3415 ◽  
Author(s):  
ANNA TREVISAN ◽  
LUIGI PALATELLA
Keyword(s):  
Data Assimilation ◽  
Chaotic Systems ◽  
Weather Forecasting ◽  
Variational Assimilation ◽  
Forecasting Models ◽  
Operational Forecasting ◽  
Estimation Problems ◽  
Atmospheric Predictability ◽  
Unstable Subspace

In the first part of this paper, we review some important results on atmospheric predictability, from the pioneering work of Lorenz to recent results with operational forecasting models. Particular relevance is given to the connection between atmospheric predictability and the theory of Lyapunov exponents and vectors. In the second part, we briefly review the foundations of data assimilation methods and then we discuss recent results regarding the application of the tools typical of chaotic systems theory described in the first part to well established data assimilation algorithms, the Extended Kalman Filter (EKF) and Four Dimensional Variational Assimilation (4DVar). In particular, the Assimilation in the Unstable Space (AUS), specifically developed for application to chaotic systems, is described in detail.

Comparison of Short-Term Weather Forecasting Models for Model Predictive Control

2009 ◽  
Vol 15 (5) ◽  
pp. 835-853 ◽  
Author(s):  
Anthony Florita ◽  
Gregor Henze
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Weather Forecasting ◽  
Short Term ◽  
Forecasting Models

Development of Temperature-based Weather Forecasting Models Using Neural Networks and Fuzzy Logic

2014 ◽  
Vol 9 (12) ◽  
pp. 343-366 ◽  
Author(s):  
L. Al-Matarneh ◽  
A. Sheta ◽  
S. Bani-Ahmad ◽  
J. Alshaer ◽  
I. Al-oqily
Keyword(s):  
Neural Networks ◽  
Fuzzy Logic ◽  
Weather Forecasting ◽  
Forecasting Models

scholarly journals A review of operational, regional-scale, chemical weather forecasting models in Europe

2012 ◽  
Vol 12 (1) ◽  
pp. 1-87 ◽  
Author(s):  
J. Kukkonen ◽  
T. Olsson ◽  
D. M. Schultz ◽  
A. Baklanov ◽  
T. Klein ◽  
...  
Keyword(s):  
Atmospheric Chemistry ◽  
Weather Forecasting ◽  
Numerical Models ◽  
Weather Prediction ◽  
Regional Scale ◽  
Chemical Species ◽  
Future Research ◽  
Physical Processes ◽  
Forecasting Models ◽  
Air Chemistry

Abstract. Numerical models that combine weather forecasting and atmospheric chemistry are here referred to as chemical weather forecasting models. Eighteen operational chemical weather forecasting models on regional and continental scales in Europe are described and compared in this article. Topics discussed in this article include how weather forecasting and atmospheric chemistry models are integrated into chemical weather forecasting systems, how physical processes are incorporated into the models through parameterization schemes, how the model architecture affects the predicted variables, and how air chemistry and aerosol processes are formulated. In addition, we discuss sensitivity analysis and evaluation of the models, user operational requirements, such as model availability and documentation, and output availability and dissemination. In this manner, this article allows for the evaluation of the relative strengths and weaknesses of the various modelling systems and modelling approaches. Finally, this article highlights the most prominent gaps of knowledge for chemical weather forecasting models and suggests potential priorities for future research directions, for the following selected focus areas: emission inventories, the integration of numerical weather prediction and atmospheric chemical transport models, boundary conditions and nesting of models, data assimilation of the various chemical species, improved understanding and parameterization of physical processes, better evaluation of models against data and the construction of model ensembles.

scholarly journals Directores de escuelas públicas chilenas seleccionados por alta dirección removidos de su cargo antes de finalizar su período de gestión: Lecciones para América Latina

2019 ◽  
Vol 27 ◽  
pp. 43 ◽  
Author(s):  
Sebastian Donoso - Diaz ◽  
Juan Pablo Fernandez -Negrete ◽  
Daniel Reyes Araya
Keyword(s):  
Public Schools ◽  
Public Education ◽  
Latin American ◽  
Public Management ◽  
Selection Process ◽  
Monitoring And Evaluation ◽  
Selection System ◽  
The Subject ◽  
America Latina ◽  
Latin American Countries

This study exposes the opinions of a group of former directors of public schools in Chile who were selected by the system of high public management, and who had to leave their posts before the end of their appointment period. The responses evidence the fragility of the local organization of public education, in terms of the interference of the local political authority in the early dismissal of school leaders and identify the various pressures the leaders received from the higher authorities in the exercise of their position. The main problems they faced were the lack of support during the installation phases as well as a lack of monitoring and evaluation of their performance, which are widespread among Latin American countries, given the trends. This paper examines the selection process for High Public Management, the background on the subject, the answers of the interviewees, and an analysis of the interviews. It concludes with some proposals to improve the selection system. 

scholarly journals Índice de anomalia de chuvas da Microrregião do Cariri Ocidental Paraibano

2020 ◽  
Vol 13 (6) ◽  
pp. 2628
Author(s):  
Renata Richelle Santos Diniz ◽  
Maria Leide Silva Alencar ◽  
Shayenny Alves de Medeiros ◽  
Hugo Orlando Carvallo Guerra ◽  
Julio Cesar Rodrigues de Sales
Keyword(s):  
El Niño ◽  
Weather Forecasting ◽  
El Nino ◽  
Climatic Variability ◽  
Series Data ◽  
Dry Period ◽  
Rainy Period ◽  
Semi Arid Region ◽  
Atmospheric Phenomena ◽  
Anomaly Index

A região semiárida do Brasil tem como particularidade a grande irregularidade na precipitação, comportamento esse decorrente de um conjunto de fatores, desde características geográficas, como também fenômenos atmosféricos. Por essa razão, o presente trabalho teve como objetivo analisar a variabilidade climática da microrregião do Cariri Ocidental Paraibano composto por 17 munícipios, através da utilização do Índice de Anomalia de Chuva (IAC) e correlacionar a classificação desse índice com a ocorrência, intensidade e influência do Fenômeno El Niño. Foram utilizados dados pluviométricos de um período de 21 anos (1999-2019) disponibilizados pela AESA (Agência Executiva de Gestão das Águas do Estado da Paraíba) aplicados no cálculo do IAC que nos permitiu identificar a intensidade e duração dos períodos secos e úmidos da série, foram empregados também dados do El Niño, concedidos pelo Centro de Previsão de Tempo e Estudos Climáticos (CPTEC) e Instituto de Pesquisas Espaciais (INPE). As incidências de anomalias (negativas e positivas) de precipitação foram analisadas mensalmente e anualmente. A climatologia temporal da precipitação da microrregião do Cariri Ocidental paraibano mostrou que seu período chuvoso inicia-se no mês de janeiro a maio, em contrapartida o período seco ocorre entre os meses de junho a dezembro, sendo setembro tido como o mês mais seco. O mês de agosto contabilizou o maior número de vezes no qual foi classificado como mês úmido (17 vezes), e julho o mês que foi classificado como mais repetidamente seco (9 vezes). Ainda utilizando o cálculo do IAC, foi possível determinar a quantidade de anos secos (10 anos) e úmidos (11 anos), ressaltando que o ano de 2012 foi o único classificado como ano de seca extremamente alta, onde o mesmo foi classificado como um ano de El Nino de intensidade forte. Assim conclui-se a importância da metodologia empegada para o acompanhamento interanual da precipitação pluviométrica da região do Cariri Ocidental paraibano vindo a tornar esses dados obtidos extremamente úteis para uma melhor compreensão da interação do fenômeno atmosférico El Niño e o regime de chuvas da região semiárida.Palavras- chave: IAC, Período Seco, Período Chuvoso, semiárido, climatologia. Rain anomaly index of the Cariri Western Paraibano Microregion A B S T R A C TThe semi-arid region of Brazil is characterized by the great irregularity in precipitation, a behavior that results from a set of factors, from geographical characteristics, as well as atmospheric phenomena. For this reason, the present work aimed to analyze the climatic variability of the micro region of Cariri Oeste Paraibano composed of 17 municipalities, using the Rain Anomaly Index (IAC) and correlate the classification of this index with the occurrence, intensity and influence of the El Niño Phenomenon. Rainfall data from a period of 21 years (1999-2019) made available by AESA (Executive Water Management Agency of the State of Paraíba) was used in the calculation of the IAC, which allowed us to identify the intensity and duration of the dry and wet periods of the series , data from El Niño, granted by the Center for Weather Forecasting and Climate Studies (CPTEC) and the Institute for Space Research (INPE), were also used. The incidence of precipitation anomalies (negative and positive) were analyzed monthly and annually. The temporal climatology of precipitation in the Cariri Western Paraiba micro-region showed that its rainy period starts in the month of January to May, in contrast the dry period occurs between the months of June to December, with September being the driest month. The month of August had the highest number of times in which it was classified as a wet month (17 times), and July the month that was classified as the most repeatedly dry (9 times). Still using the IAC calculation, it was possible to determine the number of dry (10 years) and wet (11 years) years, emphasizing that 2012 was the only year classified as an extremely high drought year, where it was classified as a El Nino year of strong intensity. Thus, we conclude the importance of the methodology used for interannual monitoring of rainfall in the region of Western Cariri in Paraíba, making these data extremely useful for a better understanding of the interaction of the atmospheric phenomenon El Niño and the rain regime of the semiarid region.Keywords: IAC, Dry Period, Rainy Period, semiarid, climatology.

scholarly journals INFLUENCE OF PERFORMANCE CONTRACTING IN OPTIMIZING PROCUREMENT OF STATE CORPORATIONS IN KENYA

2019 ◽  
Vol 3 (4) ◽  
pp. 62
Author(s):  
Leonard Vwamu Agufa ◽  
Dr. Pamela Getuno
Keyword(s):  
Balanced Scorecard ◽  
Performance Indicators ◽  
Monitoring And Evaluation ◽  
Key Performance Indicators ◽  
Multiple Regression Model ◽  
Performance Contracting ◽  
Descriptive Research ◽  
Specific Objective ◽  
Depth Study ◽  
The Subject

Purpose: The specific objective of the study was to assess influence of performance contracting in optimizing procurement of state corporations in Kenya.Methodology: This research study adopted a descriptive research design approach targeting heads of procurement at the 187 state corporations. This method was preferred because it allowed an in-depth study of the subject. The study preferred this method because it allowed an in-depth study of the subject. To gather data, structured questionnaire will be used to collect data from 104 respondents. Data was collected using self-administered questionnaires. The data collected was analyzed by use of descriptive and inferential statistics. Multiple regression model was used to show the relationship between the dependent variable and the independent variables. The data generated was keyed in and analyzed by use of Statistical Package of Social Sciences (SPSS) version 21 to generate information which was presented using charts, frequencies and percentages.Results: The findings of the study indicated that; key performance indicators, monitoring and evaluation, balanced scorecard and administration structures have a positive relationship with procurement optimization of state corporationsConclusion: Based on the study findings, the study concludes that performance of state corporations can be improved by key performance indicators, monitoring and evaluation, balanced scorecard and administration structures.Policy recommendation: the study recommended that public institutions should embrace performance contracting practices so as to improve their procurement optimization and further researches should to be carried out in other public entities to find out if the same results can be obtained.

scholarly journals Avaliação da dependência dos parâmetros de ajuste de um modelo E − l com a estratificação térmica estável

2018 ◽  
Vol 40 ◽  
pp. 245
Author(s):  
Arlindo Dutra Carvalho Junior ◽  
Pablo E.S. de Oliveira ◽  
Daniel Michelon dos Santos ◽  
Felipe Denardin Costa
Keyword(s):  
Weather Forecasting ◽  
Great Influence ◽  
Atmospheric Model ◽  
The Other ◽  
Turbulent Diffusivity ◽  
Physical Description ◽  
Forecasting Models ◽  
Dissipation Term ◽  
Real Value

One of the main challenges of the atmospheric model is the proper  determination of the turbulent diffusivity. In this sense, variousboundary layer parametrization have been developed along of the years. For the same closure order, many times, the bigger differences between them, are concentrated in the adjustment parameters. From the adequate physical description, to find the real value of each constant is the great challenge of the models. Them, the present work compare three different parametrization for the non-dimensional relation u2 ∗=E, that is used as a constant in the momentum diffusion coefficient in the E - l models. In the comparison with the GABLS experiment, the results show that the constant does not have a great influence over the windcomponents and over the temperature. On the other hand, the constant have a fundamental role in the behavior of the turbulence kinetic energy. This is due the fact of the constant is also present in the turbulence viscous dissipation term. Finally, it is important to stress that this is a work that is in its beginning and it aims the construction of a boundary layer parameterization for climate and weather forecasting models.

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