scholarly journals Analysis of Weather Forecasting Techniques

2021 ◽  
pp. 80-85
Author(s):  
Swati Pandey ◽  
Shruti Sharma ◽  
Shubham Kumar ◽  
Kanchan Bhatt ◽  
Dr. Rakesh Kumar Arora
Keyword(s):  
Data Mining ◽  
Wind Speed ◽  
Significant Role ◽  
Weather Forecasting ◽  
Weather Condition ◽  
Maximum Temperature ◽  
Weather Phenomenon ◽  
Long Time ◽  
Science Application ◽  
Very High

Weather forecasting is one of the important science application in our daily planning activities. This application has played a significant role to humans from a long time. Every human relied on their philosophical experience and other weather phenomenon to predict the weather and infer what was coming their way. This was the knowledge gathered over many years observations and has been passed from one generation to another. To predict the future’s weather condition, the variation in the conditions in past year must be utilized. The probability that the weather condition of the day in consideration will match the same day in previous year is very less. But the probability that it will match within the spam of adjacent fortnight of previous year is very high. In this paper, we analyse the use of various data mining techniques in forecasting maximum temperature, rainfall and wind speed.

Application of Data Mining Techniques in Weather Forecasting

2019 ◽  
pp. 162-174 ◽  
Author(s):  
ThippaReddy Gadekallu ◽  
Bushra Kidwai ◽  
Saksham Sharma ◽  
Rishabh Pareek ◽  
Sudheer Karnam
Keyword(s):  
Data Mining ◽  
Performance Metrics ◽  
Weather Forecasting ◽  
Meteorological Data ◽  
Maximum Temperature ◽  
K Nearest Neighbors ◽  
Data Mining Techniques ◽  
Use Of Data ◽  
The City ◽  
Case Data

Weather forecasting is a vital application in meteorology and has been one of the most scientifically and technologically challenging problems around the world in the last century. In this chapter, the authors investigate the use of data mining techniques in forecasting maximum temperature, rainfall, evaporation, and wind speed. This was carried out using artificial decision tree, naive Bayes, random forest, K-nearest neighbors (IBk) algorithms, and meteorological data collected between 2013 and 2014 from the city of Delhi. The performances of these algorithms were compared using standard performance metrics, and the algorithm which gave the best results used to generate classification rules for the mean weather variables. The results show that given enough case data, data mining techniques can be used for weather forecasting and climate change studies.

Analysis of Climate Prediction and Climate Change in Pakistan Using Data Mining Techniques

2020 ◽  
pp. 321-338
Author(s):  
Soobia Saeed ◽  
N. Z. Jhanjhi ◽  
Mehmood Naqvi ◽  
Vasaki Ponnusamy ◽  
Mamoona Humayun
Keyword(s):  
Climate Change ◽  
Data Mining ◽  
Weather Forecasting ◽  
Point Of View ◽  
Weather Data ◽  
Maximum Temperature ◽  
Sufficient Information ◽  
Climate And Environmental Change ◽  
Environment Variables ◽  
Using Data

Weather forecasting is a significant meteorological task and has arisen in the last century from a rational and revolutionary point of view among the most difficult problems. The authors are researching the use of information mining techniques in this survey to measure maximum temperature, precipitation, dissipation, and wind speed. This was done using vector help profiles, decision tree, and weather data obtained in Pakistan in 2015 and 2019. For the planning of workbook accounts, an information system for meteorological information was used. The presentations of these calculations considered using standard implementing steps as well as the estimate that gave the best results for generating disposal rules for intermediate environment variables. Likewise, a prophetic network model for the climate outlook program, contradictory results, and true climate information for the projected periods have been created. The results show that with sufficient information on cases, data mining strategies can be used to estimate the climate and environmental change that it focuses on.

scholarly journals A Weather Forecasting Model using the Data Mining Technique

2021 ◽  
Vol 9 (VI) ◽  
pp. 2378-2383
Author(s):  
Tanvi Patil
Keyword(s):  
Data Mining ◽  
Data Model ◽  
Historical Data ◽  
Weather Forecasting ◽  
Weather Condition ◽  
Weather Conditions ◽  
Weather Data ◽  
Forecasting Model ◽  
Data Mining Technique ◽  
Mining Technique

The weather conditions are changing continuously and the entire world is suffers from the changing Clemet and their side effects. Therefore pattern on changing weather conditions are required to observe. With this aim the proposed work is intended to investigate about the weather condition pattern and their forecasting model. On the other hand data mining technique enables us to analyse the data and extract the valuable patterns from the data. Therefore in order to understand fluctuating patterns of the weather conditions the data mining based predictive model is reported in this work. The proposed data model analyse the historical weather data and identify the significant on the data. These identified patterns from the historical data enable us to approximate the upcoming weather conditions and their outcomes. To design and develop such an accurate data model a number of techniques are reviewed and most promising approaches are collected.

التغير المناخي واثره في المقنن المائي لمحصول العنب في محافظة ديالى

2019 ◽  
Vol 1 (34) ◽  
pp. 391-422
Author(s):  
اشواق حسن حميد صالح
Keyword(s):  
Climate Change ◽  
Statistical Analysis ◽  
Wind Speed ◽  
Extreme Temperature ◽  
Solar Brightness ◽  
The Subject ◽  
Climate Station ◽  
The Times ◽  
High Level ◽  
Very High

Climate change and its impact on water resources is the problem of the times. Therefore, this study is concerned with the subject of climate change and its impact on the water ration of the grape harvest in Diyala Governorate. The study was based on the data of the Khanaqin climate station for the period 1973-2017, (1986-2017) due to lack of data at governorate level. The general trend of the elements of the climate and its effect on the water formula was extracted. The equation of change was extracted for the duration of the study. The statistical analysis was also used between the elements of the climate (actual brightness, normal temperature, micro and maximum degrees Celsius, wind speed m / s, relative humidity% The results of the statistical analysis confirm that the water ration for the study area is based mainly on the X7 evaporation / netting variable, which is affected by a set of independent variables X1 Solar Brightness X4 X5 Extreme Temperature Wind Speed ​​3X Minimal Temperature and Very High Level .

scholarly journals Tropical cyclone simulations over Bangladesh at convection permitting 4.4 km & 1.5 km resolution

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Hamish Steptoe ◽  
Nicholas Henry Savage ◽  
Saeed Sadri ◽  
Kate Salmon ◽  
Zubair Maalick ◽  
...  
Keyword(s):  
Wind Speed ◽  
Tropical Cyclone ◽  
Sea Level ◽  
Tropical Cyclones ◽  
Weather Forecasting ◽  
Sea Level Pressure ◽  
Mean Sea Level ◽  
Level Pressure ◽  
Medium Range ◽  
Gust Speed

AbstractHigh resolution simulations at 4.4 km and 1.5 km resolution have been performed for 12 historical tropical cyclones impacting Bangladesh. We use the European Centre for Medium-Range Weather Forecasting 5th generation Re-Analysis (ERA5) to provide a 9-member ensemble of initial and boundary conditions for the regional configuration of the Met Office Unified Model. The simulations are compared to the original ERA5 data and the International Best Track Archive for Climate Stewardship (IBTrACS) tropical cyclone database for wind speed, gust speed and mean sea-level pressure. The 4.4 km simulations show a typical increase in peak gust speed of 41 to 118 knots relative to ERA5, and a deepening of minimum mean sea-level pressure of up to −27 hPa, relative to ERA5 and IBTrACS data. The downscaled simulations compare more favourably with IBTrACS data than the ERA5 data suggesting tropical cyclone hazards in the ERA5 deterministic output may be underestimated. The dataset is freely available from 10.5281/zenodo.3600201.

scholarly journals Albian drilling's and its hydropower potential in Algeria: Study and exploitation

2018 ◽  
Vol 38 (1) ◽  
pp. 8-15
Author(s):  
Salim Etsouri ◽  
Ferhat Kaci ◽  
Mohamed Bouaziz
Keyword(s):  
Sustainable Development ◽  
Flow Rate ◽  
Underground Water ◽  
High Flow ◽  
Aquifer System ◽  
Output Pressure ◽  
Turbo Generator ◽  
Hydropower Potential ◽  
Long Time ◽  
Very High

The Continental intercalary groundwater is highly sought for its water as resources hugely mobilized in Northern Sahara. A very high flow rate and output pressure characterizes this underground water. It amounts from 50 to 400 l.s-1 for the flow, and from 5 to 40 bar for pressure. A survey of the Northern Sahara Aquifer System was essential to prove the existence of this potential. This energy appears into the artesian form, which remains very considerable for a very long time in most drilling. We have realised that this energy is immense, as well as the expanded volume of the groundwater, and the importance of its use in agriculture. Unfortunately, this potential remains untapped to this day and the energy of this water is completely neglected. Several turbo generator and/or inverted pump (PATs) integration tests were undergone. The new concept of reflection with respect to the environment and sustainable development has led us to structure our work towards the extension of this potential in order to extract the exploitable energy.

scholarly journals Using machine learning to produce a very high-resolution land-cover map for Ireland and beyond

2021 ◽  
Author(s):  
Geoffrey Bessardon ◽  
Emily Gleeson ◽  
Eoin Walsh
Keyword(s):  
Machine Learning ◽  
High Resolution ◽  
Land Cover ◽  
Satellite Imagery ◽  
Urban Areas ◽  
Weather Forecasting ◽  
Land Cover Classification ◽  
Surface Processes ◽  
Land Cover Map ◽  
Very High

<p>An accurate representation of surface processes is essential for weather forecasting as it is where most of the thermal, turbulent and humidity exchanges occur. The Numerical Weather Prediction (NWP) system, to represent these exchanges, requires a land-cover classification map to calculate the surface parameters used in the turbulent, radiative, heat, and moisture fluxes estimations.</p><p>The land-cover classification map used in the HARMONIE-AROME configuration of the shared ALADIN-HIRLAM NWP system for operational weather forecasting is ECOCLIMAP. ECOCLIMAP-SG (ECO-SG), the latest version of ECOCLIMAP, was evaluated over Ireland to prepare ECO-SG implementation in HARMONIE-AROME. This evaluation suggested that sparse urban areas are underestimated and instead appear as vegetation areas in ECO-SG [1], with an over-classification of grassland in place of sparse urban areas and other vegetation covers (Met Éireann internal communication). Some limitations in the performance of the current HARMONIE-AROME configuration attributed to surface processes and physiography issues are well-known [2]. This motivated work at Met Éireann to evaluate solutions to improve the land-cover map in HARMONIE-AROME.</p><p>In terms of accuracy, resolution, and the future production of time-varying land-cover map, the use of a convolutional neural network (CNN) to create a land-cover map using Sentinel-2 satellite imagery [3] over Estonia [4] presented better potential outcomes than the use of local datasets [5]. Consequently, this method was tested over Ireland and proven to be more accurate than ECO-SG for representing CORINE Primary and Secondary labels and at a higher resolution [5]. This work is a continuity of [5] focusing on 1. increasing the number of labels, 2. optimising the training procedure, 3. expanding the method for application to other HIRLAM countries and 4. implementation of the new land-cover map in HARMONIE-AROME.</p><p> </p><p>[1] Bessardon, G., Gleeson, E., (2019) Using the best available physiography to improve weather forecasts for Ireland. In EMS Annual Meeting.Retrieved fromhttps://presentations.copernicus.org/EMS2019-702_presentation.pdf</p><p>[2] Bengtsson, L., Andrae, U., Aspelien, T., Batrak, Y., Calvo, J., de Rooy, W.,. . . Køltzow, M. Ø. (2017). The HARMONIE–AROME Model Configurationin the ALADIN–HIRLAM NWP System. Monthly Weather Review, 145(5),1919–1935.https://doi.org/10.1175/mwr-d-16-0417.1</p><p>[3] Bertini, F., Brand, O., Carlier, S., Del Bello, U., Drusch, M., Duca, R., Fernandez, V., Ferrario, C., Ferreira, M., Isola, C., Kirschner, V.,Laberinti, P., Lambert, M., Mandorlo, G., Marcos, P., Martimort, P., Moon, S., Oldeman,P., Palomba, M., and Pineiro, J.: Sentinel-2ESA’s Optical High-ResolutionMission for GMES Operational Services, ESA bulletin. Bulletin ASE. Euro-pean Space Agency, SP-1322,2012</p><p>[4] Ulmas, P. and Liiv, I. (2020). Segmentation of Satellite Imagery using U-Net Models for Land Cover Classification, pp. 1–11,http://arxiv.org/abs/2003.02899, 2020</p><p>[5] Walsh, E., Bessardon, G., Gleeson, E., and Ulmas, P. (2021). Using machine learning to produce a very high-resolution land-cover map for Ireland. Advances in Science and Research, (accepted for publication)</p>

scholarly journals Upaya Konservasi Tanah dan Air pada Daerah Pertanian Dataran Tinggi di Sub-Daerah Aliran Sungai Gandul

2020 ◽  
Vol 25 (3) ◽  
pp. 382-387
Author(s):  
Diah Auliyani
Keyword(s):  
Water Conservation ◽  
Soil And Water Conservation ◽  
Conservation Practices ◽  
Land System ◽  
Long Time ◽  
Agricultural Areas ◽  
Land Cover Maps ◽  
Very High ◽  
Soil And Water ◽  
Erosion Prevention

Land susceptibility to degradation is characterized by the loss of topsoil due to erosion which is considered as a threat to agricultural productivity. Information about land sensitivity to erosion is crucial in determining the appropriate soil and water conservation techniques to avoid land degradation. This study, which was located in the Gandul Sub-Watershed, aims to analyze the level of land sensitivity to erosion in highland agricultural areas. Data analysis was carried out spatially using land system and land-cover maps. Soil and water conservation efforts were determined based on the land function and sensitivity. The land sensitivity to erosion in the Gandul Sub-watershed was categorized into 3 levels which were moderate (3.9%), high (95%), and very high (0.8%). There were various directions for Gandul Sub-Watershed management by considering the level of sensitivity of the land and the function of the area. Creating a ridge is one of the soils and water conservation practices that has been implemented for a long time by local communities as a soil erosion prevention.   Keywords: agriculture, erosion, Gandul, sensitivity

scholarly journals Markers of hikikomori in young people dur

2021 ◽  
pp. 70-74
Author(s):  
Inna Chuhueva ◽  
Viktoriia Sakovska
Keyword(s):  
Fast Food ◽  
Educational Activity ◽  
Psychological State ◽  
Defence Mechanism ◽  
High Susceptibility ◽  
New Era ◽  
Long Time ◽  
Definition Of ◽  
The Impact ◽  
Very High

The article summarizes the definition of the term “hikikomori”, analyzes the situation of quarantine restriction: its essence and features of the impact on adolescence. Peculiarities of manifestation of hikikomori markers at adolescence are determined. We consider the studied phenomenon in the system of approaches like a way to meet needs, as a set of manifestations of syndromes of a new era, as a psychological defence mechanism, as a psychological state and process. Depending on the intensity of markers, we divide hikikomori into counter-dependent, poorly adaptable and interdependent, super dependent. The parameters that determine the level of manifestations of hikikomori include antisocial solitude at home, antisocially with leaving the house, selective society. The levels of manifestation of hikikomori include physical, emotional, social. Quarantine restrictions, as unusual living conditions that require forced solitude, selfisolation can be a factor that encourages the emergence of markers of hikikomori in adolescents. Such people have a shift in activity in cyberspace and at night, inseparable stay with the gadget (during meals, in the bathroom, in the toilet, etc.). Neglect of the organization of life (do not clean the bed after sleep, do not clean the room for a long time, do not change clothes during the day and wear night pyjamas around the clock, neglect a healthy diet, eat outside the regime, mostly fast food, etc.). In communication with others, they show irritability with the desire to avoid contact and solitude in their room. Also, at such a person, disorganization of educational activity hastily is observed. It is difficult for them to organize the learning process; they show procrastination (postponement of tasks). If the classes are as videoconferencing, they do not include video and microphone. They are away from contact with the group and the teacher, even if they need contact for feedback, they ignore it. An empirical study of the susceptibility to hikikomori markers in adolescents revealed that about 40% of subjects have a high susceptibility to hikikomori markers, and almost 11% of young men – very high.

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