Academic literature on the topic 'Monthly Anomalies'

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Journal articles on the topic "Monthly Anomalies"

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Betts, Alan K., Ahmed B. Tawfik, and Raymond L. Desjardins. "Revisiting Hydrometeorology Using Cloud and Climate Observations." Journal of Hydrometeorology 18, no. 4 (2017): 939–55. http://dx.doi.org/10.1175/jhm-d-16-0203.1.

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Abstract This paper uses 620 station years of hourly Canadian Prairie climate data to analyze the coupling of monthly near-surface climate with opaque cloud, a surrogate for radiation, and precipitation anomalies. While the cloud–climate coupling is strong, precipitation anomalies impact monthly climate for as long as 5 months. The April climate has memory of precipitation anomalies back to freeze-up in November, mostly stored in the snowpack. The summer climate has memory of precipitation anomalies back to the beginning of snowmelt in March. In the warm season, mean temperature is strongly co
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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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Teutli-Hernández, Claudia, M. Fernanda Cepeda-González, Jorge L. Montero-Muñoz, Israel Medina-Gómez, Rosa María Román-Cuesta, and Jorge A. Herrera-Silveira. "Relationship of litterfall anomalies with climatic anomalies in a mangrove swamp of the Yucatan Peninsula, Mexico." PLOS ONE 19, no. 8 (2024): e0307376. http://dx.doi.org/10.1371/journal.pone.0307376.

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Among the set of phenological traits featuring mangrove ecosystems, litterfall production stands out with marked intra-annual and longer-term variation. Furthermore, mangrove forests resilience is one of the most important ecological attribute, reconciling the juxtaposed terrestrial and marine environment such transitional systems occupy. However, world’s mangroves are nowadays facing recurrent climatic events, reflected in anomalies depicted by major drivers, including temperature and precipitation. This physical-environmental setting may either constrain or favor overall forest productivity.
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Xu, Shan, Liang Zhai, Bin Zou, and Huiyong Sang. "Multiscale Analysis of Water Area, Level and Flow and Their Relationships for a Large Lake Connected to Rivers: A Case Study of Dongting Lake, China." Water 16, no. 9 (2024): 1198. http://dx.doi.org/10.3390/w16091198.

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Exploring the different characteristics of water status at different time scales is essential for the understanding of the complex hydrological processes in lakes connected to rivers. Taking Dongting Lake, a large-scale lake connected to the Yangtze River, as an example, this study employed wavelet analysis and multiple models to explore the temporal characteristics of water area, level, and flow and the water level–area and flow–area correlations from 2000 to 2021 on annual, seasonal, and monthly scales. The results show that the interannual variations in annual, seasonal, and monthly water a
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Taylor, Patrick C. "Variability of Monthly Diurnal Cycle Composites of TOA Radiative Fluxes in the Tropics." Journal of the Atmospheric Sciences 71, no. 2 (2013): 754–66. http://dx.doi.org/10.1175/jas-d-13-0112.1.

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Abstract Earth system variability is generated by a number of different sources and time scales. Understanding sources of atmospheric variability is critical to reducing the uncertainty in climate models and to understanding the impacts of sampling on observational datasets. The diurnal cycle is a fundamental variability evident in many geophysical variables—including top-of-the-atmosphere (TOA) radiative fluxes. This study considers aspects of the TOA flux diurnal cycle not previously analyzed: namely, deseasonalized variations in the monthly diurnal cycle composites, termed monthly diurnal c
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Borges, A. V., B. Tilbrook, N. Metzl, A. Lenton, and B. Delille. "Inter-annual variability of the carbon dioxide oceanic sink south of Tasmania." Biogeosciences 5, no. 1 (2008): 141–55. http://dx.doi.org/10.5194/bg-5-141-2008.

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Abstract. We compiled a large data-set from 22 cruises spanning from 1991 to 2003, of the partial pressure of CO2 (pCO2) in surface waters over the continental shelf (CS) and adjacent open ocean (43° to 46° S; 145° to 150° E), south of Tasmania. Climatological seasonal cycles of pCO2 in the CS, the subtropical zone (STZ) and the subAntarctic zone (SAZ) are described and used to determine monthly pCO2 anomalies. These are used in combination with monthly anomalies of sea surface temperature (SST) to investigate inter-annual variations of SST and pCO2. Monthly anomalies of SST (as intense as 2°C
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Plastun, Alex, Xolani Sibande, Rangan Gupta, and Mark E. Wohar. "Historical evolution of monthly anomalies in international stock markets." Research in International Business and Finance 52 (April 2020): 101127. http://dx.doi.org/10.1016/j.ribaf.2019.101127.

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Lagos, P., Y. Silva, E. Nickl, and K. Mosquera. "El Niño – related precipitation variability in Perú." Advances in Geosciences 14 (April 10, 2008): 231–37. http://dx.doi.org/10.5194/adgeo-14-231-2008.

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Abstract. The relationship between monthly mean sea surface temperature (SST) anomalies in the commonly used El Niño regions and precipitation for 44 stations in Perú is documented for 1950–2002. Linear lag correlation analysis is employed to establish the potential for statistical precipitation forecasts from SSTs. Useful monthly mean precipitation anomaly forecasts are possible for several locations and calendar months if SST anomalies in El Niño 1+2, Niño 3.4, and Niño 4 regions are available. Prediction of SST anomalies in El Niño regions is routinely available from Climate Prediction Cent
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Krokhin, V. V., and W. M. J. Luxemburg. "Temperatures and precipitation totals over the Russian Far East and Eastern Siberia: long-term variability and its links to teleconnection indices." Hydrology and Earth System Sciences Discussions 3, no. 4 (2006): 1915–42. http://dx.doi.org/10.5194/hessd-3-1915-2006.

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Abstract. The present study examines the spatial-temporal regime of the mean monthly temperature (MMT) and monthly precipitation (MPT) anomalies over the Russian Far East and Eastern Siberia for the period 1949–2003. The original data were analyzed spatially by means of complex principal component analysis and temporally by means of the maximum entropy method and traditional Fourier spectral analysis. The interannual variability in these anomalies can be represented by the single dominant modes. These dominant modes oscillate with periods of about 2–3 yr and 6–8 yr that are accompanied by stat
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Krokhin, V. V., and W. M. J. Luxemburg. "Temperatures and precipitation totals over the Russian Far East and Eastern Siberia: long-term variability and its links to teleconnection indices." Hydrology and Earth System Sciences 11, no. 6 (2007): 1831–41. http://dx.doi.org/10.5194/hess-11-1831-2007.

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Abstract. The present study examines the spatial-temporal regime of the mean monthly temperature (MMT) and monthly precipitation (MPT) anomalies over the Russian Far East and Eastern Siberia for the period 1949–2003. The original data were analyzed spatially by means of complex principal component analysis and temporally by means of the maximum entropy method and traditional Fourier spectral analysis. The interannual variability in these anomalies can be represented by the single dominant modes. These dominant modes oscillate with periods of about 2–3 yr and 6–8 yr that are accompanied by stat
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Dissertations / Theses on the topic "Monthly Anomalies"

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Edberg, Christopher, and Oliver Kjellander. "Calendar Anomalies in the Nordic Stock Markets : A quantitative study of the Sell in May effect, January effect & Monthly Anomalies." Thesis, Linnéuniversitetet, Institutionen för ekonomistyrning och logistik (ELO), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-105272.

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This study has applied a geographical perspective with the ambition of evaluating the presence of the Sell in May effect, January effect and monthly anomalies in the Nordic stock markets. In extension the study examines the relationship between corporate size and the returns of calendar anomalies. The study has conducted statistical tests based on Newey-West regressions as well as a Generalized Auto-Regressive Conditional Heteroscedasticity model. The findings suggest that the Sell in May and January are present in the Nordic region and partially abide by theory and results of previous researc
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Halari, Anwar. "An analysis of monthly calendar anomalies in the Pakistani stock market : a study of the Gregorian and Islamic calendars." Thesis, University of Dundee, 2013. https://discovery.dundee.ac.uk/en/studentTheses/ef1d3ef3-4cda-4a39-83eb-aa3ba3d46689.

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Most of the prior research in the area of monthly regularities has been based on the Gregorian calendar; by contrast, little attention has been given to other calendars based on different religions or cultures. This thesis examines monthly calendar anomalies in the Pakistani stock market for both the Gregorian calendar and its Islamic counterpart. This is one of the first studies to investigate both calendars for monthly seasonality in one investigation on the same dataset. Empirical studies of the Pakistani stock market that have examined monthly calendar anomalies are relatively sparse when
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Jean, Dominic. "A full century of monthly Canadian stock price index returns : a review of the Fisher hypothesis and some anomalies." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/MQ64050.pdf.

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Ficik, Jozef. "Are Financial Market Anomalies Real? Evidence from Stock Markets in Five Countries." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-198627.

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The financial market anomaly can be characterized as the event when observed stock returns differentiate from those expected by concrete pricing model. Many anomalies have been detected so far, and some of them vanished, while other persisted, after they had been published by academics and researchers. The aim of this thesis is to investigate the potential presence of selected types of anomalies in the financial markets and to provide relevant empirical evidence. The theoretical section will supply the reader with the descriptions of several types of financial market anomalies and the results
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Halldestam, Markus, and Katarina Karlsson. "Trading Opportunities You Missed on the Swedish Equity Market : An Analysis of the Persistence of Calendar Anomalies." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-354678.

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This Study uses a period between 1939-2017 to analyse calendar anomalies on the Swedish equity market. We test whether calendar anomalies’ return deviates from the return of ordinary trading days. Our result shows that the day of the week effect, weekend effect, turn of the year, turn of the month and holiday effect have had an impact on the daily rate of return, both domestic and abroad. Similar to international markets the calendar anomalies in Sweden start to be less prominent during 1980’s. Also, our result displays that, since the 1970’s, UK holidays have had a negative impact on the dail
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Hetting, Oscar, Joakim Hellman, and Maryam Tarighi. "Capitalizing on seasonalities in the Singapore Straits Times Index." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Företagsekonomi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-18167.

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Purpose: The purpose of this thesis is to study the possible existence of day-of-the-week effects and month-of-the-year effects in the Singapore stock market over the period January 1st 1993 to December 31st 2011. The findings are analysed with the intention of developing investment strategies and to investigate if behavioural finance can help to explain the existence of seasonal anomalies.  Background: A number of previous studies have found evidence of seasonal anomalies in global stock markets, and by challenging the core assumptions of market efficiency, such anomalies may make it possible
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Borromeo, John. "Stock Market Anomalies for Companies Listed on the National Stock Exchange of Australia." Thesis, 2018. https://vuir.vu.edu.au/38627/.

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Purpose – Many theoretical financial theories attempt to explain the behaviour of stocks and the structure of their returns, namely the Portfolio Theory, the Capital Asset Pricing Model (CAPM), the Efficient Market Hypothesis (EMH), and Behavioural Finance. These theories, however, have provided incomplete and contradictory explanations regarding stock market anomalies. The aim of this research is to analyse the theory of anomalies and develop a comprehensive theoretical model based on the extant financial theories to develop an improved explanation about stock market anomalies. The pri
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Books on the topic "Monthly Anomalies"

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1940-, Gruber Arnold, and United States. National Environmental Satellite, Data, and Information Service., eds. Monthly and seasonal mean outgoing longwave radiation and anomalies. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1986.

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Cayan, Daniel R. An atlas of United States monthly and seasonal temperature anomalies, December 1930 - November 1984. Scripps Institution of Oceanography, Climate Research Group, 1986.

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F, Ropelewski C., and Karl Thomas, eds. An atlas of United States monthly and seasonal temperature anomalies, December 1930-November 1984. Scripps Institution of Oceanography, Climate Research Group, 1986.

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Hutton, Kim. Disorders of the kidney and upper urinary tract in children. Edited by David F. M. Thomas. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199659579.003.0116.

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The majority of clinically significant congenital disorders of the upper urinary tract are now detected prenatally. Commonly identified abnormalities include pelviureteric junction obstruction (PUJO), vesicoureteric junction obstruction (VUJO), duplication anomalies, multicystic dysplastic kidney (MCDK), high grade vesicoureteric reflux (VUR) and anomalies of renal migration and/or fusion. Most affected infants are asymptomatic at birth and further investigation can usually be undertaken on a non-urgent basis in the first few weeks or months of life. Long-term natural history studies have show
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Giacovazzo, Carmelo. Phasing in Crystallography. Oxford University Press, 2013. http://dx.doi.org/10.1093/oso/9780199686995.001.0001.

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Modern crystallographic methods originate from the synergy of two main research streams, the small-molecule and the macro-molecular streams. The first stream was able to definitively solve the phase problem for molecules up to 200 atoms in the asymmetric unit. The achievements obtained by the macromolecular stream are also impressive. A huge number of protein structures have been deposited in the Protein Data Bank. The solution of them is no longer reserved to an elite group of scientists, but may be attained in a large number of laboratories around the world, even by young scientists. New pro
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Book chapters on the topic "Monthly Anomalies"

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Mattarocci, Gianluca. "Monthly Calendar Anomalies." In Anomalies in the European REITs Market. Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137390929_6.

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Subba Rao, T., and E. P. Tsolaki. "Nonstationary Time Series Analysis of Monthly Global Temperature Anomalies." In Time Series Analysis and Applications to Geophysical Systems. Springer New York, 2004. http://dx.doi.org/10.1007/978-1-4612-2962-9_5.

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Rao, T. Subba, and E. P. Tsolaki. "Nonstationary Time Series Analysis of Monthly Global Temperature Anomalies." In Time Series Analysis and Applications to Geophysical Systems. Springer New York, 2004. http://dx.doi.org/10.1007/978-1-4684-9386-3_5.

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Bolduc, P. A., and T. S. Murty. "Monthly Mean Sea Level Anomalies for the North and Tropical Atlantic Ocean." In Sea Level Changes: Determination and Effects. American Geophysical Union, 2013. http://dx.doi.org/10.1029/gm069p0001.

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Selvam, Amujuri Mary. "Signatures of Universal Characteristics of Fractal Fluctuations in Global Mean Monthly Temperature Anomalies." In Springer Atmospheric Sciences. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54546-2_5.

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Amoo, Oseni Taiwo, Hammed Olabode Ojugbele, Abdultaofeek Abayomi, and Pushpendra Kumar Singh. "Hydrological Dynamics Assessment of Basin Upstream–Downstream Linkages Under Seasonal Climate Variability." In African Handbook of Climate Change Adaptation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_116.

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AbstractThe impacts of climate change are already being felt, not only in terms of increase in temperature but also in respect of inadequate water availability. The Mkomazi River Basins (MRB) of the KwaZulu-Natal region, South Africa serves as major source of water and thus a mainstay of livelihood for millions of people living downstream. It is in this context that the study investigates water flows abstraction from headwaters to floodplains and how the water resources are been impacted by seasonal climate variability. Artificial Neural Network (ANN) pattern classifier was utilized for the se
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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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Mattarocci, Gianluca. "The Time of the Month Effect for European REIT Investors." In Anomalies in the European REITs Market. Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137390929_8.

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Mattarocci, Gianluca. "The Impact of the Turn of the Month on European REIT Markets." In Anomalies in the European REITs Market. Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137390929_7.

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Jacobeit, Jucundus, Heinz Wanner, Gerhard Koslowski, and Martin Gudd. "European Surface Pressure Patterns for Months with Outstanding Climatic Anomalies During the Sixteenth Century." In Climatic Variability in Sixteenth-Century Europe and Its Social Dimension. Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-015-9259-8_7.

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Conference papers on the topic "Monthly Anomalies"

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Murray, Paul, and Naeem Khan. "Rapid Assessment of Station Piping CP Effectiveness in High Resistivity Environments." In CORROSION 2018. NACE International, 2018. https://doi.org/10.5006/c2018-10909.

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Abstract Buried station piping at a pipeline pump facility with high soil resistivity experienced sub-criterion structure-to-electrolyte potentials post cathodic protection (CP) system commissioning. A prompt assessment of the external corrosion threat was required to determine if supplemental CP would be required, or if operating with sub-criterion structure-to-electrolyte potentials would be acceptable. One option to quantify the external corrosion threat on metallic structures is to utilize soil side electrical resistance (ER) corrosion probes. The corrosion growth rate obtained from soil s
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Li, Weigang, Leonardo D. Sa, G. S. Prasad, A. G. Nowosad, Mauricio Bolzan, and E. S. M. Chiang. "Neural networks adaptive wavelets for predictions of the northeastern Brazil monthly rainfall anomalies time series." In Aerospace/Defense Sensing and Controls, edited by Steven K. Rogers and Dennis W. Ruck. SPIE, 1996. http://dx.doi.org/10.1117/12.235908.

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McGuinness, Sarah A., and Richard H. Becker. "ASSESSING GROUNDWATER-SURFACE WATER INTERACTIONS OF THE SUDD WETLAND, SOUTH SUDAN, USING NDVI/NDWI TIME SERIES AND MONTHLY GRACE ANOMALIES." In GSA Annual Meeting in Phoenix, Arizona, USA - 2019. Geological Society of America, 2019. http://dx.doi.org/10.1130/abs/2019am-336986.

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Казаков, С. И., С. А. Майборода, В. В. Метик-Диюнова, and А. С. Богуславский. "ON THE RELATIONSHIP OF SOLAR ACTIVITY WITH CLIMATE ANOMALIES ON THE SOUTH COAST OF CRIMEA." In XXX Юбилейный Международный симпозиум Оптика атмосферы и океана. Физика атмосферы. Crossref, 2024. https://doi.org/10.56820/oao30c18.

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С середины 2021 г., при возрастании солнечной активности, в Крыму произошла смена засушливого периода на водный, с катастрофическими ливнями и паводками, селевыми потоками и аномальными штормами, которые привели к серьезным нарушениям береговой инфраструктуры. Для выяснения триггерных механизмов влияния солнечной активности на погодные аномалии, выполнен корреляционный анализ солнечной активности (числа солнечных пятен) в период 2019-2024 гг., с данными гидрометеорологических наблюдений суточной и месячной детальности (метеостанция г. Ялта), и уровня моря (мареограф МГИ, Кацивели). Установлены
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MAGYARI-SÁSKA, Zsolt, and Ștefan DOMBAY. "Preferential Attachment in Modeling Climate Changes. Test Location: Miercurea-Ciuc, Romania." In Air and Water – Components of the Environment 2021 Conference Proceedings. Casa Cărţii de Ştiinţă, 2021. http://dx.doi.org/10.24193/awc2021_15.

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Climate change is a fact that we face year after year. Although is a common syntagma its manifestation is different for various region of the planet producing not just global, but local anomalies and changes. In order to track these changes, we propose a network model with preferential attachment, vertices representing successive time periods. The test location for our research was Miercurea Ciuc, one of the coldest locations of Romania. We have developed a similarity index including different meteorological parameters such as air temperature, ground temperature, precipitation amount, snow dep
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Pajak, Katarzyna. "Seasonal Baltic Sea level change from altimetry data." In Environmental Engineering. VGTU Technika, 2017. http://dx.doi.org/10.3846/enviro.2017.223.

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Regional sea level changes occur at different time scales. Global warming of the oceans, glacial and polar ice melting and meteorological or hydrological factors are major contributors to long-term sea level rise. In the recent years, a lot of attention has been paid to research concerning sea level change and seasonal fluctuations. The main objective of this paper was to determine the seasonal variability in the Baltic Sea level using satellite altimetry data for the period 1 January 2010 – 31 December 2014. The ANOVA analysis of variance was used in the research in order to estimate seasonal
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Milentijević, Nikola, Milana Pantelić, Marko Ivanović, Sanja Obradović, Milena Gocić, and Nataša Martić-Bursać. "Spatio-temporal variability of aridity based on rainfall anomaly index: Case study of Bačka (Northern Serbia)." In Zbornik radova – VI Kongres geografa Srbije sa medunarodnim ucešcem. University of Belgrade - Faculty of Geography, Belgrade, 2024. http://dx.doi.org/10.5937/kongef24009m.

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Recent climate changes represent one of the largest environmental issues and the cause of climate extremes such as drought and aridity. The subject of the paper is the interpretation of aridity conditions in Bačka using the Rainfall Anomaly Index (RAI). The paper uses monthly and annual precipitation values (1990-2018) from five meteorological stations. The analyzed parameters were taken and calculated based on the Meteorological Yearbooks of the Republic Hydrometeorological Service of Serbia (RHSS). The spatial distribution of RAI is presented using interpolation based on QGIS software v3.18.
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Navia, Diaz Juan, Diaz Juan Navia, Bolaños Nancy Villegas, Bolaños Nancy Villegas, Igor Malikov, and Igor Malikov. "EXTREME VALUES OF SEA SURFACE TEMPERATURE ASSOCIATED WITH LONG-PERIOD PHENOMENA OCCURRED DURING 1960-2015 IN THE COLOMBIAN PACIFIC OCEAN." In Managing risks to coastal regions and communities in a changing world. Academus Publishing, 2017. http://dx.doi.org/10.31519/conferencearticle_5b1b943a9e4336.75393991.

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Sea Surface Temperature Anomalies (SSTA), in four coastal hydrographic stations of Colombian Pacific Ocean, were analyzed. The selected hydrographic stations were: Tumaco (1°48'N-78°45'W), Gorgona island (2°58'N-78°11'W), Solano Bay (6°13'N-77°24'W) and Malpelo island (4°0'N-81°36'W). SSTA time series for 1960-2015 were calculated from monthly Sea Surface Temperature obtained from International Comprehensive Ocean Atmosphere Data Set (ICOADS). SSTA time series, Oceanic Nino Index (ONI), Pacific Decadal Oscillation index (PDO), Arctic Oscillation index (AO) and sunspots number (associated to so
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Navia, Diaz Juan, Diaz Juan Navia, Bolaños Nancy Villegas, Bolaños Nancy Villegas, Igor Malikov, and Igor Malikov. "EXTREME VALUES OF SEA SURFACE TEMPERATURE ASSOCIATED WITH LONG-PERIOD PHENOMENA OCCURRED DURING 1960-2015 IN THE COLOMBIAN PACIFIC OCEAN." In Managing risks to coastal regions and communities in a changing world. Academus Publishing, 2017. http://dx.doi.org/10.21610/conferencearticle_58b431547291f.

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Sea Surface Temperature Anomalies (SSTA), in four coastal hydrographic stations of Colombian Pacific Ocean, were analyzed. The selected hydrographic stations were: Tumaco (1°48'N-78°45'W), Gorgona island (2°58'N-78°11'W), Solano Bay (6°13'N-77°24'W) and Malpelo island (4°0'N-81°36'W). SSTA time series for 1960-2015 were calculated from monthly Sea Surface Temperature obtained from International Comprehensive Ocean Atmosphere Data Set (ICOADS). SSTA time series, Oceanic Nino Index (ONI), Pacific Decadal Oscillation index (PDO), Arctic Oscillation index (AO) and sunspots number (associated to so
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Chis, Codruta, Adalbert Okros, and Vlad Mircov. "CLIMATE CHANGES IN THE LAST 30 YEARS STUDY CASE: WEST REGION ROMANIA." In 22nd SGEM International Multidisciplinary Scientific GeoConference 2022. STEF92 Technology, 2022. http://dx.doi.org/10.5593/sgem2022v/4.2/s19.26.

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The climate changes represent an important problem in today-s society. Our study refers to the West Region of Romania, formed by the counties of Arad, Timis, Caras-Severin, Hunedoara, and it shows that there are significant differences regarding the climate changes between these counties. In our paper, we analyze the evolution of annual, respectively seasonal precipitations , and of the minimal, maximal and medium air temperatures in the considered region in the time frame 1991-2021. The statistical analysis of data shows an increase of the medium annual air temperatures, the observed changes
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Reports on the topic "Monthly Anomalies"

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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 Fort Pulaski National Monument: 2012 data summary. National Park Service, 2013. https://doi.org/10.36967/2195213.

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In 2006 the National Park Service (NPS) Southeast Coast Network (SECN) Inventory and Monitoring Program began collecting water-quality data in the estuarine waters near Fort Pulaski National Monument (FOPU) as part the NPS Vital Signs monitoring program. The continuous monitoring data station is approximately 1.5 kilometers south of the Fort entrance at a dock on Lazaretto Creek just upstream of its confluence with the Savannah River. This station collects pH, dissolved oxygen, water temperature, salinity, specific conductance, turbidity and water level data every 30 minutes. Additional water-
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Rinehart, Aaron, M. Gregory, and Wendy Wright. Fixed-station water-quality monitoring at Canaveral National Seashore: 2012 data summary. National Park Service, 2013. https://doi.org/10.36967/2195325.

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In 2007 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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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 Timucuan Ecological and Historic Preserve: 2012 data summary. National Park Service, 2013. https://doi.org/10.36967/2195323.

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In 2003 the Northeast Florida Water Quality Preservation Group — a coalition composed of the Florida Department of Environmental Protection, Office of Coastal and Aquatic Managed Areas (CAMA), the National Park Service (NPS), and the Nature Conservancy — was formed by official Memorandum of Understanding to “collaborate to preserve, protect, and enhance water quality” of Timucuan Ecological and Historic Preserve (TIMU) in northern Florida. In 2006, the National Park Service Southeast Coast Network (SECN) in cooperation with the City of Jacksonville, Florida and CAMA established a jointly-opera
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6

Jokinen, Pauli, Pentti Pirinen, Juho-Pekka Kaukoranta, et al. Climatological and oceanographic statistics of Finland 1991–2020. Finnish Meteorological Institute, 2021. http://dx.doi.org/10.35614/isbn.9789523361485.

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This report consists of climate statistics for air pressure, temperature, relative humidity, precipitation, snow depth, wind, sunshine and global radiation for the normal period covering the years 1991–2020. In addition for the first time oceanographic statistics for sea water level, sea water temperature and sea ice are included. Based on the station and gridded data the new 1991–2020 normal period is approximately 0.6 °C warmer in Finland compared to the previous 1981–2010 period. The new normal period is approximately 1.3 °C warmer when compared to the 1961–1990 period. Climate and oceanogr
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Sprague, Joshua, David Kushner, James Grunden, Jamie McClain, Benjamin Grime, and Cullen Molitor. Channel Islands National Park Kelp Forest Monitoring Program: Annual report 2014. National Park Service, 2022. http://dx.doi.org/10.36967/2293855.

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Channel Islands National Park (CHIS) has conducted long-term ecological monitoring of the kelp forests around San Miguel, Santa Rosa, Santa Cruz, Anacapa and Santa Barbara Islands since 1982. The original permanent transects were established at 16 sites between 1981 and 1986 with the first sampling beginning in 1982, this being the 33rd year of monitoring. An additional site, Miracle Mile, was established at San Miguel Island in 2001 by a commercial fisherman with assistance from the park. Miracle Mile was partially monitored from 2002 to 2004, and then fully monitored (using all KFM protocols
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