Academic literature on the topic 'Average monthly'

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Journal articles on the topic "Average monthly"

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Veeran, P. K., and S. Kumar. "Analysis of monthly average daily global radiation and monthly average sunshine duration at two tropical locations." Renewable Energy 3, no. 8 (1993): 935–39. http://dx.doi.org/10.1016/0960-1481(93)90054-k.

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Festa, R., C. F. Ratto, and D. DeGol. "A procedure to obtain average daily values of meteorological parameters from monthly averages." Solar Energy 40, no. 4 (1988): 309–13. http://dx.doi.org/10.1016/0038-092x(88)90003-5.

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Aptukov, Valery N., and Victor Yu Mitin. "STATISTICAL MODELS FOR FORECASTING AVERAGE MONTHLY TEMPERATURE AND MONTHLY PRECIPITATION AMOUNT IN PERM." Географический вестник = Geographical bulletin, no. 2(57) (2021): 84–95. http://dx.doi.org/10.17072/2079-7877-2021-2-84-95.

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The article proposes an approach to forecasting mean temperature and total precipitation for the upcoming month, based on the study of the regularities of the influence of statistical characteristics of temperature and precipitation of previous periods on them. Among the predictors, along with the basic statistical characteristics, we use the fractality index which is an indicator of the randomness/ determinism of the climate series. Within the framework of this approach, we have developed models of different levels to predict the temperature and total precipitation amount in the upcoming mont
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Andrade-Bejarano, Mercedes. "Monthly Average Temperature Modeling in an Intertropical Region." Weather and Forecasting 28, no. 5 (2013): 1099–115. http://dx.doi.org/10.1175/waf-d-12-00077.1.

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Abstract Data for this research come from time series of monthly average temperatures from 28 sites over the Valle del Cauca of Colombia in South America, collected over the period 1971–2002. Because of the geographical location of the study area, monthly average temperature is affected by altitude and El Niño–La Niña (El Niño–Southern Oscillation, or ENSO phenomenon). Time series for some of the sites show a tendency to increase. Also, because of the two dry and wet periods in the study area, a seasonal pattern of behavior in monthly average temperature is seen. Linear mixed models are formul
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Akhtar, Iram, Sheeraz Kirmani, Mohmmad Ahmad, and Sultan Ahmad. "Average Monthly Wind Power Forecasting Using Fuzzy Approach." IEEE Access 9 (2021): 30426–40. http://dx.doi.org/10.1109/access.2021.3056562.

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Sobolev, Oleg Serafimovich. "AVERAGE MONTHLY CO2 EMISSIONS ESTIMATES MODEL IN AGRICULTURE." Экономика сельского хозяйства России, no. 8 (August 1, 2022): 71–76. http://dx.doi.org/10.32651/228-71.

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Vicente-Serrano, S. M., A. El Kenawy, C. Azorin-Molina, et al. "Average monthly and annual climate maps for Bolivia." Journal of Maps 12, no. 2 (2015): 295–310. http://dx.doi.org/10.1080/17445647.2015.1014940.

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Bannani, F. K., T. A. Sharif, and A. O. R. Ben-Khalifa. "Estimation of monthly average solar radiation in Libya." Theoretical and Applied Climatology 83, no. 1-4 (2005): 211–15. http://dx.doi.org/10.1007/s00704-005-0157-9.

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Ding, Feng, Andrey Savtchenko, Thomas Hearty, et al. "Assessing the Impacts of Two Averaging Methods on AIRS Level 3 Monthly Products and Multiyear Monthly Means." Journal of Atmospheric and Oceanic Technology 37, no. 6 (2020): 1027–50. http://dx.doi.org/10.1175/jtech-d-19-0129.1.

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AbstractThe Atmospheric Infrared Sounder (AIRS) on board NASA’s Aqua satellite provides more than 16 years of data. Its monthly gridded (Level 3) product has been widely used for climate research and applications. Since counts of successful soundings in a grid cell are used to derive monthly averages, this averaged by observations (ABO) approach effectively gives equal importance to all participating soundings within a month. It is conceivable then that days with more observations due to day-to-day orbit shift and regimes with better retrieval skills will contribute disproportionately to the m
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Minarecioğlu, Necmiye, and Hatice Çıtakoğlu. "Trend Analysis of Monthly Average Flows of Kizilirmak Basin." Journal of Anatolian Environmental and Animal Sciences 4, no. 3 (2019): 454–59. http://dx.doi.org/10.35229/jaes.595095.

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Dissertations / Theses on the topic "Average monthly"

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Bejarno, Mercedes Andrade. "Monthly average temperature modelling for Valle del Cauca (Colombia)." Thesis, University of Reading, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.515761.

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Bieliková, Nikol. "Průměrná mzda a HDP - vzájemné vztahy a vazby." Master's thesis, Vysoká škola ekonomická v Praze, 2013. http://www.nusl.cz/ntk/nusl-198019.

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The thesis describes interactions and relationships between selected economic indicators. These indicators are the gross domestic product and the average gross monthly wage. The analysis of these selected indicators, are made for the Czech Republic and Slovakia. The work has four main parts, which are divided into several other sections. The first defines the concept of national accounting, the second part contents gross domestic product, the method of its calculating and the frequency of compilation. In the third section is described the field theory of wages and salaries and the concepts suc
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Кошева, Ю. С. "Статистичний аналіз середньої заробітної плати в регіонах". Thesis, Одеський національний економічний університет, 2020. http://dspace.oneu.edu.ua/jspui/handle/123456789/11963.

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У роботі розглядаються теоретичні аспекти статистичного вивчення середньомісячної заробітної плати України та окремих регіонів, методи її розрахунку та аналізу. Проаналізовано динаміку номінальної заробітної плати в Україні та її окремих областях. Вивчено інтенсивність розвитку номінальної та реальної заробітної плати країни. Здійснено порівняльний аналіз рівнів та динаміки заробітної плати України та розвинутих країн світу. Запропоновано основні напрями покращення ситуації, яка склалися в країні у сфері оплати праці, перш за все, підсилення функцій органів державного управління задля недопу
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Kozel, Tomáš. "Stochastické řízení zásobní funkce nádrže s pomocí metod umělé inteligence." Doctoral thesis, Vysoké učení technické v Brně. Fakulta stavební, 2018. http://www.nusl.cz/ntk/nusl-390282.

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The main advantage of stochastic forecasting is fan of possible value, which deterministic method of forecasting could not give us. Future development of random process is described better by stochastic then deterministic forecasting. We can categorize discharge in measurement profile as random process. Stochastic management is worked with dispersion of controlling discharge value. In thesis is described construction and evaluation of adaptive stochastic model base on fuzzy logic, neural networks and evolution algorithm, which are used stochastic forecast from forecasting models described in t
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Mashishi, Daniel. "Modeling average monthly rainfall for South Africa using extreme value theory." Thesis, 2020. http://hdl.handle.net/10386/3399.

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Thesis (M. Sc. (Statistics)) -- University of Limpopo, 2020<br>The main purpose of modelling rare events such as heavy rainfall, heat waves, wind speed, interest rate and many other rare events is to try and mitigate the risk that might arise from these events. Heavy rainfall and floods are still troubling many countries. Almost every incident of heavy rainfall or floods might result in loss of lives, damages to infrastructure and roads, and also financial losses. In this dissertation, the interest was in modelling average monthly rainfall for South Africa using extreme value theory (EVT
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CHEN, CHIEN-TING, and 陳建廷. "Time Series Model Forecasts and Case Studies on Monthly Average Price of Agricultural Products." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/7xue3m.

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碩士<br>國立高雄科技大學<br>金融資訊系<br>107<br>In recent years, we have often seen in the news reports that the price of fruits and vegetables has risen and fallen sharply. It greatly impacts on farmers' production and consumer prices. If there is a more accurate forecast of agricultural product prices, it could guide farmers' production decisions and stabilize price fluctuations. Based on the open data provided by the COA agricultural product price query system, this study used different time series models to predict the prices of different agricultural products, and compares them with the actual agricult
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Lu, Jian-De, and 呂建德. "Forecasting Taiwan Stocks Weighted Index Monthly Average Based on Linear Regression – Applied to Taiwan Stock Index Futures." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/gxemhm.

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碩士<br>國立交通大學<br>資訊科學與工程研究所<br>106<br>Taiwan stock index futures commodity is the way that people try to invest. Futures can be bought with a small amount of money because of the margin system. Therefore, they have high leverage and high returns. However, it is we should pay attention to the fact that Taiwan’s weighted stock price index is affected by the international market and the domestic economy. This paper uses the Taiwanese weighted stock price index as the research object. Through analysis, it finds out the factors that affect the index, forecasts the index after different months, and f
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Wang, Shao-Ming, and 王紹明. "Analyze the Seasonal Characteristic of Monthly Revenue and Average Stock Prices and Their Causal Relationships in 4 Pharmaceutical Companies." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/31228432392820408750.

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碩士<br>國立臺北大學<br>企業管理學系<br>99<br>Although the pharmaceutical industry is not the major contribution of Taiwan stock market, it will be another rising star in the future in Taiwan. The purpose of this study is to analyze the seasonal characteristic of monthly revenue, average stock prices and their causal relationships in 4 pharmaceutical companies. Data was collected from Jan, 2000 to Dec. 2009. By using X-11 statistical model and Granger causality test, the results show that seasonality Granger causalities exist in both revenue and stock price series. The conclusion of this study described a
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Pagnier, Marc. "A modification of the [monthly-average daily utilizability], f-chart method for solar domestic water heating systems with no mixing." 1986. http://catalog.hathitrust.org/api/volumes/oclc/15586679.html.

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Thesis (M.S.)--University of Wisconsin--Madison, 1986.<br>Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 100-102).
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Yu-ChangHsu and 許育彰. "Trading strategy by using monthly moving average - Evidence from constituent stock in Taiwan dividend plus index and GreTai 50 index." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/5r6tv6.

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碩士<br>國立成功大學<br>財務金融研究所碩士在職專班<br>106<br>Technical analysis is an indispensable and necessary condition for securities markets in many countries. The main reason is that most investors generally believe that certain fundamental information that has not been disclosed can be reflected by technical indicators. This thesis uses the 200-day moving average as the research main axis, and uses the monthly moving average as the reference index. According to the Taiwan Dividend Plus Index constituents and GreTai 50 Index constituents totaling 80 stocks, two separate parameters are used. Set the moving a
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Books on the topic "Average monthly"

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A, Assel Raymond, and Great Lakes Environmental Research Laboratory, eds. Great Lakes states monthly average temperature data: Beginning of record to 1990. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Great Lakes Environmental Research Laboratory, 1995.

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C, Comiso Josefino, Zwally H. Jay, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., eds. Satellite-derived ice data sets no. 2: Artic monthly average microwave brightness temperatures and sea ice concentrations, 1973-1976. National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1987.

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Parkinson, Claire L. Satellite-derived ice data sets no. 2: Artic monthly average microwave brightness temperatures and sea ice concentrations, 1973-1976. National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1987.

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Parkinson, Claire L. Satellite-derived ice data sets no. 2: Artic monthly average microwave brightness temperatures and sea ice concentrations, 1973-1976. National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1987.

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M, Feldman Angela, United States. Bureau of the Census. Population Division, and Survey of Income and Program Participation (Program), eds. Economic characteristics of households in the United States: First quarter 1984 : average monthly data from the Survey of income and program participation. U.S. Dept. of Commerce, Bureau of the Census, 1985.

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United States. Bureau of the Census. Population Division and Survey of Income and Program Participation (Program), eds. Economic characteristics of households in the United States: Fourth quarter 1984 : average monthly data from the Survey of income and program participation. U.S. Dept. of Commerce, Bureau of the Census, 1986.

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Ryscavage, Paul. Monitoring the economic health of American households: Average monthly estimates of income, labor force activity, program participation, and health insurance : first quarter 1984 to third quarter 1991. U.S. Dept. of Commerce, Economics and Statistics Administration, Bureau of the Census, 1994.

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Fitzgerald, D. Monthly and annual averages of rainfall for Ireland 1961-1990. Meteorological Service, 1996.

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Limited, Extel Financial, ed. The Extel monthly foreign exchange rates record: Daily, monthly and annual highs, lows and averages for 20 currencies against sterling. Extel, 1988.

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Washington (State). Division of Refugee Assistance., ed. Assistance programs for refugees: Case characteristics : monthly averages per quarter, April 1988-September 1990. Washington State Dept. of Social & Health Services, Division of Refugee Assistance, Office of Planning, Evaluation and Professional Development, 1990.

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Book chapters on the topic "Average monthly"

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Sun, Wei-Ting, Hsin-Ta Chiao, Yue-Shan Chang, and Shyan-Ming Yuan. "Forecasting Monthly Average of Taiwan Stock Exchange Index." In Communications in Computer and Information Science. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9190-3_31.

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Oktay, Zuhal, Can Coskun, and Mustafa Ertürk. "Prediction of Daily Average Global Solar Radiation and Parabolic Monthly Irradiation Model Parameters for Turkey." In Progress in Exergy, Energy, and the Environment. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04681-5_83.

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Zhang, Qingfeng, Xuebin Wang, Jinqiao Shi, Meiqi Wang, Yue Gao, and Can Zhao. "ExitSniffer: Towards Comprehensive Security Analysis of Anomalous Binding Relationship of Exit Routers." In Communications in Computer and Information Science. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9229-1_6.

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AbstractTor exit relays are operated by volunteers and the trustworthiness of Tor exit relays need to be revisited in a long-term manner. In this paper, we monitored the Tor network by developing a fast and distributed exit relay scanner (ExitSniffer) to probe all exit relays over a period of 16 months continuously, seeking to expose the anomalous binding relationship phenomena of exit routers simply by comparing the returnIP and consensusIP. We totally find 1983 malicious exit relays which average contribute 10.12% bandwidth of total Tor exit relays bandwidth monthly, resulting tremendous thr
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Mohanty, Sthitapragyan, Prashanta Kumar Patra, and Sudhansu S. Sahoo. "Comparison and Prediction of Monthly Average Solar Radiation Data Using Soft Computing Approach for Eastern India." In Computational Intelligence in Data Mining - Volume 3. Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-2202-6_28.

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Belarbi, Halima, Bénina Touaibia, Nadir Boumechra, Chérifa Abdelbaki, and Sakina Amiar. "Analysis of the Hydrological Behavior of Watersheds in the Context of Climate Change (Northwestern Algeria)." In Natural Disaster Science and Mitigation Engineering: DPRI reports. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2904-4_5.

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AbstractThe aim of this work is to study the temporal evolution of the rainfall-runoff relations of four basins in northwestern Algeria: the Tafna Maritime, Isser Sikkak, downstream Mouilah and Upper Tafna basins. The adopted approach consists of analyzing hydroclimatic variables using statistical methods and testing the nonstationarity of the rainfall-runoff relation by the cross-simulation method using the GR2M model. The results of the different statistical methods applied to the series of rainfall and hydrometric variables show a decrease due to a break in stationarity detected since the m
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Kassem, Youssef, Hüseyin Gökçekuş, and John kepo Kpewoan. "A Comparative Study of Artificial Neural Networks and Multiple Linear Regression for Predicting Average Monthly Rainfall in Northern Cyprus." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-76283-3_8.

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Mounter, William, Huda Dawood, and Nashwan Dawood. "The Impact of Data Segmentation in Predicting Monthly Building Energy Use with Support Vector Regression." In Springer Proceedings in Energy. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63916-7_9.

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AbstractAdvances in metering technologies and machine learning methods provide both opportunities and challenges for predicting building energy usage in the both the short and long term. However, there are minimal studies on comparing machine learning techniques in predicting building energy usage on their rolling horizon, compared with comparisons based upon a singular forecast range. With the majority of forecasts ranges being within the range of one week, due to the significant increases in error beyond short term building energy prediction. The aim of this paper is to investigate how the a
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Tang, Siwei, Xu Wang, Jie Gao, Fangliang Zhu, and Jianzan Yang. "Wide-Area Long Sequence Photovoltaic Power Simulation Based on ERA5 Reanalysis Data." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-9184-2_42.

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AbstractThe long-sequence hourly photovoltaic power simulation sequence is an important reference information in the stage of power station planning, designing and dispatching operation. Based on the ERA5 reanalysis data, this paper adopts the tilted plane radiation model and the photoelectric conversion model to construct a photovoltaic power physical simulation model, and conducts hourly power simulation study for a total of 23 years from 2000 to 2022 for 30 existing photovoltaic power stations in China, and analyzes the simulation effect and the interannual volatility of power generation ca
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M., Vazquez, P. Izquierdo, J. M. Santos, M. T. Prado, and C. Magro. "Monthly and Yearly Maps of Daily Average Global Solar Radiation of the Madeira Archipelago (Portugal), Obtained From Meteosat Images and Six Meteorological Stations." In Proceedings of ISES World Congress 2007 (Vol. I – Vol. V). Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-75997-3_533.

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Brunetta, Grazia, Ombretta Caldarice, Danial Mohabat Doost, and Franco Pellerey. "Notes on Spatial Implications of COVID-19. Evidence from Piedmont Region, Italy." In The Urban Book Series. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-33894-6_2.

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AbstractThe COVID-19 pandemic has been studied by many scholars from a wide range of disciplines. Among these investigations, planners and regional scientists have researched the spatial spread of the contagion. Most of these studies tried to explore the spread of the disease in a fixed period, like annually, and analysed the spatial variables that are most influential on the COVID-19 spread over territories. On the same line, the chapter investigates the pattern of virus transmission in the 1.181 municipalities of the Piedmont Region during two years of the pandemic over different periods by
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Conference papers on the topic "Average monthly"

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VNVS, Geethika, Supraja NHSVN, Narayana MVV, et al. "Machine Learning Based Monthly Average Load Profiles Forecasting Approach for Distribution System Planning with Distributed Generations." In 2024 IEEE Silchar Subsection Conference (SILCON). IEEE, 2024. https://doi.org/10.1109/silcon63976.2024.10910291.

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Rankova, Maya, Elena Bojilova, Plamen Angelov, Borislav Vuchkov, and Radoslava Ivanova. "COMPARISON OF THE RESULTS OBTAINED BY THE PROPOSED METHODOLOGY FOR ENVIRONMENTAL RUNOFF WITH THOSE CALCULATED UNDER THE CURRENT REGULATION." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/3.1/s12.09.

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In climate change, drought, and water scarcity, the natural functioning of river systems largely depends on the proper distribution of water resources. Accurate determination of hydrological characteristics is essential for the sustainable management of water resources and provides information on the status and potential of water systems. Water management must be implemented in such a way as to meet the needs of man and the economy. At the same time, measures are taken to protect the quantitative characteristics of the aquatic environment. This means that water consumption must not exceed a pa
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Romero, Nathalie, Oladis Troconis de Rincón, Valentina Millano, et al. "Use of Mixtures of Acid and Natural Substances with Low Environmental Impact in the Production of Anodized Aluminum (UNS A93003)." In CORROSION 2016. NACE International, 2016. https://doi.org/10.5006/c2016-07789.

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Abstract In this work 57 anodized aluminum bath systems were evaluated, based on different organic acid mixtures (oxalic/O and citric/C), inorganic (sulfuric/S, phosphoric/P and boric/B) and additives with natural substances (Dividivi/A Tannin/B, Aloe Vera/C, Neem/D and Mango leaves/E). Different mixtures were made in order to optimize the parameters for generating the anodic film, such as current density and anodized time. Subsequently, resultant anodized layers were evaluated as per the following: thickness test, characteristics and composition of the film (SEM and EDX) and its resistance to
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Ravikumar, P. "Generation of Monthly Average Hourly Ambient Temperatures From Monthly Average Daily Temperature." In ASME 2004 International Solar Energy Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/isec2004-65137.

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A method to generate monthly average hourly ambient temperature values, Tah,n, in terms of the monthly average daily ambient temperature, Ta and latitude, φ is presented here. The present correlations do not require the additional information needed in applying the correlations available in [1,2,3]. The predicted monthly average hourly ambient temperature, Tah,n values have been found to be in agreement with data values within a % rms difference of 0.43 (when Tah,n is in K) and the standard deviation has been found to be 1.243 K, for 56 primary locations of TMY2, comparable to the prediction o
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Ломакина, Н. Я., and А. В. Лавриненко. "TRENDS IN AVERAGE MONTHLY AIR TEMPERATURE OVER THE SIBERIAN REGION." In XXX Юбилейный Международный симпозиум Оптика атмосферы и океана. Физика атмосферы. Crossref, 2024. https://doi.org/10.56820/oao30d4.

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Проведено исследование долговременных изменений среднемесячной приземной температуры воздуха на территории Сибирского региона за последние 50 лет (1973−2022) на основе данных 65 метеорологических станций. Показано, что наибольшая скорость потепления отмечается в полярных широтах, где для каждого месяца года получены наибольшие коэффициенты линейного тренда температуры. В течение года максимальные тренды наблюдаются весной – в марте и апреле, а также осенью – в октябре. В зимние месяцы почти по всей Сибири, за исключением полярной зоны, отмечаются слабые статистически незначимые тренды среднеме
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Gao, Zhifang, Yuan Tian, Jie Chen, and Huagen Chen. "A GIS-based study of monthly average global solar radiation." In 2013 21st International Conference on Geoinformatics. IEEE, 2013. http://dx.doi.org/10.1109/geoinformatics.2013.6626135.

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Sharma, Gaurav, Rajesh Dhumal, T. P. Singh, and Vidya Kumbhar. "Analysis and Forecasting of Monthly Average Temperatures Using Timeseries Models." In 2023 International Conference on Integration of Computational Intelligent System (ICICIS). IEEE, 2023. http://dx.doi.org/10.1109/icicis56802.2023.10430229.

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Altaii, Karim, and Ramiro L. Rivera. "Ultraviolet Solar Radiation Over the Caribbean Island of Puerto Rico." In ASME 2004 International Solar Energy Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/isec2004-65158.

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Ultraviolet solar radiation was measured and recorded on a 5-minute, hourly and daily basis at four sites on the Caribbean island of Puerto Rico (located from 18° to 18° 30’N latitude and from 65° 30’ to 67° 15’W longitude) over a 24 calendar month time frame. Data were measured by an Eppley Total Ultraviolet Radiometer (TUVR) mounted on a horizontal surface (0.285 ≤ λ ≤ 0.385 μm wavelengths). This data presents the first published data on ultraviolet radiation over Puerto Rico. The data sheds new light on the ultraviolet radiation characteristics of this tropical island. Characteristics such
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Kirilova Bojilova, Elena. "ESTIMATION OF MINIMUM AVERAGE MONTHLY RIVER DISCHARGE: YANTRA RIVER, NORTH BULGARIA." In XXVII Conference of the Danubian Countries on Hydrological Forecasting and Hydrological Bases of Water Management. Nika-Tsentr, 2020. http://dx.doi.org/10.15407/uhmi.conference.01.07.

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Yantra river basin situated in North Bulgaria, is a part of Danube river basin directorate. This investigation is performed in the framework of the project with Bulgarian Ministry of Environment and Water. From the Ministry the points for each effluent or water abstraction facility are provided. For all points it was requested to evaluate 95% probability of occurrence for minimum monthly average river discharge. The provided from the project cross section (points) are along the main river body and also on the main river tributaries: Vidima, Rositza, Belitza and Drianovska rivers. For the curre
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Wu, Ji, and C. K. Chan. "The Prediction of Monthly Average Solar Radiation with TDNN and ARIMA." In 2012 Eleventh International Conference on Machine Learning and Applications (ICMLA). IEEE, 2012. http://dx.doi.org/10.1109/icmla.2012.225.

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Reports on the topic "Average monthly"

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Gregory, M., Wendy Wright, and Aaron Rinehart. Fixed-station water quality monitoring at Fort Matanzas National Monument: 2011 data summary. National Park Service, 2012. https://doi.org/10.36967/2190459.

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In 2010 the National Park Service (NPS) Southeast Coast Network (SECN) Inventory and Monitoring Program began collecting water-quality data in the estuarine waters near Fort Matanzas National Monument (FOMA) as part the NPS Vital Signs monitoring program. The continuous-monitoring data station is located at the visitors center dock. This station collects pH, dissolved oxygen, temperature, salinity, specific conductance, turbidity and water-level data every 30 minutes. Information collected by this monitoring program will be used to help managers make better-informed decisions by understanding
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Rinehart, Aaron, Wendy Wright, and M. Gregory. Fixed-station water-quality monitoring at Congaree National Park: Data Summary 2012. National Park Service, 2013. https://doi.org/10.36967/2195210.

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In 2006 Congaree National Park (CONG), in conjunction with the Southeast Coast Network (SECN) Inventory and Monitoring Program, began collecting water-quality data at Cedar Creek as part the NPS Vital Signs Monitoring Program. The continuous-monitoring data station is located approximately one mile south of the visitor center and collects water temperature, dissolved oxygen, pH, specific conductance, turbidity and water-level data every 30 minutes. This publication summarizes data collected from January 1, 2012 to December 31, 2012. The CONG fixed-station water-quality monitoring site is part
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Rinehart, Aaron, M. Gregory, and Wendy Wright. Fixed-station water-quality monitoring at Fort Matanzas National Monument: 2012 data summary. National Park Service, 2013. https://doi.org/10.36967/2195211.

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In 2010 the National Park Service (NPS) Southeast Coast Network (SECN) Inventory and Monitoring Program began collecting water-quality data in the estuarine waters near Fort Matanzas National Monument (FOMA) as part the NPS Vital Signs monitoring program. The continuous-monitoring data station is located at the visitors center dock. This station collects pH, dissolved oxygen, temperature, salinity, specific conductance, turbidity and water-level data every 30 minutes. The FOMA fixed-station water-quality monitoring site is part of the SECN estuarine water-quality monitoring program, which rout
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Gregory, M., Aaron Rinehart, and Wendy Wright. Fixed-station water-quality monitoring at Congaree National Park: Data Summary 2011. National Park Service, 2012. https://doi.org/10.36967/2193850.

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In 2006 Congaree National Park (CONG), in conjunction with the Southeast Coast Network (SECN) Inventory and Monitoring Program, began collecting water-quality data at Cedar Creek as part the NPS Vital Signs Monitoring Program. The continuous monitoring data station is located approximately one mile south of the visitor center and collects water temperature, dissolved oxygen, pH, salinity, specific conductance, turbidity and water-level data every 30 minutes following the methods of Wenner and Geist (2001). This publication summarizes data collected from January 1, 2011 to December 31, 2011. Th
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Pinzon, Mauricio, and Arturo Galindo. Revelation of Expectations in Latin America (REVELA): No. 17 : September, 2008. Inter-American Development Bank, 2008. http://dx.doi.org/10.18235/0008250.

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REVELA analyzes market expectations of growth and inflation in Latin American countries. The figures analyzed represent the results of surveys of private sector actors conducted by the central banks of each country according to their own specific methodologies. They do not represent official projections by the IDB or any other official body. RES collects the results of these surveys from participating central banks on a monthly basis to produce a report and a set of illustrative graphs and tables. The September issue of REVELA reports that growth expectations for 2008 are almost unchanged with
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Salazni, Mariana, Andrew Powell, Mauricio Pinzon, and Arturo Galindo. Revelation of Expectations in Latin America (REVELA): No. 16 : August, 2008. Inter-American Development Bank, 2008. http://dx.doi.org/10.18235/0008249.

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REVELA analyzes market expectations of growth and inflation in Latin American countries. The figures analyzed represent the results of surveys of private sector actors conducted by the central banks of each country according to their own specific methodologies. They do not represent official projections by the IDB or any other official body. RES collects the results of these surveys from participating central banks on a monthly basis to produce a report and a set of illustrative graphs and tables. In this August issue, REVELA reports that growth expectations for 2008 are almost unchanged with
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Pinzon, Mauricio, and Arturo Galindo. Revelation of Expectations in Latin America (REVELA): No. 18 : October, 2008. Inter-American Development Bank, 2008. http://dx.doi.org/10.18235/0008251.

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REVELA analyzes market expectations of growth and inflation in Latin American countries. The figures analyzed represent the results of surveys of private sector actors conducted by the central banks of each country according to their own specific methodologies. They do not represent official projections by the IDB or any other official body. RES collects the results of these surveys from participating central banks on a monthly basis to produce a report and a set of illustrative graphs and tables. In this October issue, REVELA reports that growth expectations for 2008 increased with respect to
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Wright, Wendy, and M. Gregory. Fixed-station water-quality monitoring at Canaveral National Seashore: 2005 to 2009 Data Summary. National Park Service, 2013. https://doi.org/10.36967/2195998.

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In 2005 the National Park Service (NPS) Southeast Coast Network (SECN) began collecting water-quality data in the estuarine waters of Canaveral National Seashore as part the NPS Vital Signs monitoring program. The scope of the monitoring program includes Mosquito Lagoon and is comprised of continuous water-quality monitoring conducted by the SECN at one site and is augmented with monthly data collected at five stations by St. Johns River Water Management District (SJRWMD). The continuous-monitoring data station is located at the Canaveral National Seashore visitor center dock and collects pH,
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Galindo, Arturo, and Mauricio Pinzon. Revelation of Expectations in Latin America (REVELA): No. 23 : March, 2009. Inter-American Development Bank, 2009. http://dx.doi.org/10.18235/0008255.

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REVELA analyzes market expectations of growth and inflation in Latin American countries. The figures analyzed represent the results of surveys of private sector actors conducted by the central banks of each country according to their own specific methodologies. They do not represent official projections by the IDB or any other official body. RES collects the results of these surveys from participating central banks on a monthly basis to produce a report and a set of illustrative graphs and tables. In this March issue, REVELA reports that growth expectations for 2009 decreased with respect to l
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Pinzon, Mauricio, and Arturo Galindo. Revelation of Expectations in Latin America (REVELA): No. 21 : January, 2009. Inter-American Development Bank, 2009. http://dx.doi.org/10.18235/0008253.

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REVELA analyzes market expectations of growth and inflation in Latin American countries. The figures analyzed represent the results of surveys of private sector actors conducted by the central banks of each country according to their own specific methodologies. They do not represent official projections by the IDB or any other official body. RES collects the results of these surveys from participating central banks on a monthly basis to produce a report and a set of illustrative graphs and tables. In this January issue, REVELA reports that growth expectations for 2009 decreased with respect to
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