Bibliografías temáticas / Annual variability

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Literatura académica sobre el tema "Annual variability"

Autor: Grafiati
Publicado: 25 de mayo de 2024

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Artículos de revistas sobre el tema "Annual variability"

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Zhao, C., Y. Ding, B. Ye, S. Yao, Q. Zhao, Z. Wang y Y. Wang. "An analyses of long-term precipitation variability based on entropy over Xinjiang, northwestern China". Hydrology and Earth System Sciences Discussions 8, n.º 2 (28 de marzo de 2011): 2975–99. http://dx.doi.org/10.5194/hessd-8-2975-2011.

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Abstract. Precipitation is one of important supply of water resources in arid and semiarid region of northwestern China, plays the vital role to maintain the fragile ecosystem. The entropy method was employed to detect the spatial variability of precipitation over monthly, seasonal and annual timescales in Xinjiang. The spatial distribution of precipitation variability was significantly affected by topography, and was zonal on annual, seasonal and monthly. The non-parametric Mann-kendall test was used to analyze the change point of trend. A precipitation concentration index has been developed categorize the variability of annual precipitation. The summer variability contributed less than that of other seasons to the annual variability. There is a great difference in the contribution of the different monthly variabilities to the annual mean variability in different years. Overall, the variability of precipitation was shown increase north of Xinjiang, especially in mountainous regions where the increase was statistically (P = 0.05) significant. South of the Xinjiang, the variability increased only slightly, consistent with the distribution of precipitation.
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Xie, Tiejun, Jianping Li, Kaiqi Chen, Yazhou Zhang y Cheng Sun. "Origin of Indian Ocean multidecadal climate variability: role of the North Atlantic Oscillation". Climate Dynamics 56, n.º 9-10 (1 de febrero de 2021): 3277–94. http://dx.doi.org/10.1007/s00382-021-05643-w.

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AbstractThe multidecadal variability of Indian Ocean sea surface temperature (IOSST) has an important impact on both the regional Indian Ocean climate and the global climate. Here, we explore multidecadal variability in the annual IOSST. Observational analysis shows that the annual IOSST multidecadal variability is not only related to the Pacific Decadal Oscillation (PDO), but also to the North Atlantic Oscillation (NAO). The NAO leads by 15–20 years the detrended annual IOSST in which the PDO signal of the same period has been removed. Further analysis reveals that the NAO leads the annual IOSST multidecadal variability through its leading effect on the Atlantic Multidecadal Oscillation (AMO). The AMO affects the vertical wind anomaly in the Indian Ocean region through the Atlantic–Indian Ocean multidecadal teleconnection (AIMT), which in turn affects the net longwave radiation in the Indian Ocean region, thus driving the annual IOSST multidecadal variability. A Hasselmann model based on NAO and PDO further verify the joint influence of the NAO and PDO on the multidecadal variability of the IOSST. A PDO-based linear model and a climate model that incorporates the NAO signal are also constructed for the annual IOSST. Results show that the climate model with the NAO signal can better simulate the annual IOSST. This again verifies that the NAO is part of the annual IOSST multidecadal variability source, indicating that the annual IOSST variability may be due to the combined influences of the NAO and PDO.
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Indarto, Indarto y Askin Askin. "VARIABILITAS SPASIAL HUJAN DI WILAYAH UPT PSDA DI MALANG". Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) 6, n.º 3 (28 de marzo de 2018): 171. http://dx.doi.org/10.23960/jtep-l.v6i3.171-180.

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This study show the spatial variabilit of rainfall (monthly and annual) rainfall in the area of technical implementation unit of water resources management (UPT-PSDA) in Malang. Administrative area of UPT PSDA in Malang include Malang regency, Malang city, Batu, Blitar Regency, Tulungagung Regency, and Trenggalek Regency. Daily rainfall data from 88 pluviometers spread around the areas are used as main input. The research procedures consist of : (1) data pre-analysis; (2) the analyses using ESDA tools (Histogram, voronoi, QQ-Plot); (3) interpolation by using IDW method; (4) producing a thematic map; and (5) interpretation. Analysis using the histogram, voronoi–maps and normal QQ-plots tools illustrates more detail the spatial variability of the monthly and annual rainfall around the regions. Interpolation produces a thematic map of mean monthly-rainfall, between 100 – 400 mm/month. The spatial distribution of annual rainfall was illustrated by a thematic show the average-annual-range from 1000 – 4000 mm/year. Keywords: spatial variability, rainfall, ESDA, IDW, monthly, annual rainfall
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Valdez-Cepeda, R. D. "Variability of annual wheat yields in Mexico". Agricultural and Forest Meteorology 66, n.º 3-4 (noviembre de 1993): 187–92. http://dx.doi.org/10.1016/0168-1923(93)90070-x.

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Rohli, Robert V., Sara A. Ates, Victor H. Rivera‐Monroy, Michael J. Polito, Stephen R. Midway, Edward Castañeda‐Moya, Arthur J. Gold, Emi Uchida, Mwita M. Mangora y Makoto Suwa. "Inter‐annual hydroclimatic variability in coastal Tanzania". International Journal of Climatology 39, n.º 12 (15 de mayo de 2019): 4736–50. http://dx.doi.org/10.1002/joc.6103.

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Mäemets, Helle, Lilian Freiberg, Marina Haldna y Tõnu Möls. "Inter-annual variability of Potamogeton perfoliatus stands". Aquatic Botany 85, n.º 3 (octubre de 2006): 177–83. http://dx.doi.org/10.1016/j.aquabot.2006.03.008.

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Winder, Monika y James E. Cloern. "The annual cycles of phytoplankton biomass". Philosophical Transactions of the Royal Society B: Biological Sciences 365, n.º 1555 (12 de octubre de 2010): 3215–26. http://dx.doi.org/10.1098/rstb.2010.0125.

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Terrestrial plants are powerful climate sentinels because their annual cycles of growth, reproduction and senescence are finely tuned to the annual climate cycle having a period of one year. Consistency in the seasonal phasing of terrestrial plant activity provides a relatively low-noise background from which phenological shifts can be detected and attributed to climate change. Here, we ask whether phytoplankton biomass also fluctuates over a consistent annual cycle in lake, estuarine–coastal and ocean ecosystems and whether there is a characteristic phenology of phytoplankton as a consistent phase and amplitude of variability. We compiled 125 time series of phytoplankton biomass (chlorophyll a concentration) from temperate and subtropical zones and used wavelet analysis to extract their dominant periods of variability and the recurrence strength at those periods. Fewer than half (48%) of the series had a dominant 12-month period of variability, commonly expressed as the canonical spring-bloom pattern. About 20 per cent had a dominant six-month period of variability, commonly expressed as the spring and autumn or winter and summer blooms of temperate lakes and oceans. These annual patterns varied in recurrence strength across sites, and did not persist over the full series duration at some sites. About a third of the series had no component of variability at either the six- or 12-month period, reflecting a series of irregular pulses of biomass. These findings show that there is high variability of annual phytoplankton cycles across ecosystems, and that climate-driven annual cycles can be obscured by other drivers of population variability, including human disturbance, aperiodic weather events and strong trophic coupling between phytoplankton and their consumers. Regulation of phytoplankton biomass by multiple processes operating at multiple time scales adds complexity to the challenge of detecting climate-driven trends in aquatic ecosystems where the noise to signal ratio is high.
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Askin, Askin, Indarto Indarto, Dimas Ghufron Ash-Shiddiq y Sri Wahyuningsih. "Variabilitas Spasial Hujan Tahunan di Wilayah UPT PSDA di Pasuruan, Jawa Timur : Analisis Histogram dan Normal QQ-Plot". Rona Teknik Pertanian 11, n.º 1 (1 de abril de 2018): 35–49. http://dx.doi.org/10.17969/rtp.v11i1.9981.

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Abstrak. Penelitian ini bertujuan untuk menganalisis variabilitas spasial hujan di wilayah UPT PSDA di Pasuruan. Wilayah studi mencakup kabupaten Probolinggo, kota Probolinggo, Kabupaten Pasuruan dan Kota Pasuruan di Jawa Timur. Data hujan tahunan rerata (Hthn_rrt) dan hujan tahunan maksimal (HthnMaks) dihitung dari kumulatif data hujan harian pada 93 stasiun dan dijadikan sebagai input utama untuk analisis. Panjang periode rekaman data yang digunakan dari tahun 1980 sampai dengan 2015 (35 tahun). Tahap penelitian mencakup: (1) pra-pengolahan data, (2) analisis pendahuluan, (3) analisis menggunakan tool histogram dan voronoi map, (4) interpolasi data dan pembuatan peta tematik. Pra-pengolahan data dilakukan menggunakan excel. Analisis histogram dan QQ-Plot dilakukan untuk melihat variabilitas spasial lebih detail per sub-wilayah. Selanjutnya, metode interpolasi digunakan untuk membuat peta tematik hujan tahunan. Peta tematik menunjukkan hujan tahunan rerata (Hthn_rrt) yang terjadi di wilayah tersebut selama 35 tahun terakhir berkisar antara 1200 sd 2600 mm/tahun. Hujan tahunan maksimal yang terjadi berkisar antara 2100 sd 4500 mm/tahun. Penelitian juga menunjukkan adanya korelasi positif antara lokasi stasiun hujan (elevasi) dengan jumlah hujan tahunan yang diterima. Spatial Variability of Annual Rainfall in The Administrative Area of UPT PSDA at Pasuruan, East Java : Analysis Using Histogram and QQ-Plot Abstract. This research aims to analyze the spatial variability of annual rainfall. Daily rainfall data from 93 rain gauge in the administrative area of UPT PSDA Pasuruan were used as the main input. The average annual rainfall and the maximum annual rainfall obtained from the daily rainfall data. Histograms, and QQ-Plot were used to describe the spatial variability in each sub-regions. Next, interpolation methods is used to create a thematic map of the annual rainfall. The results shows that local spatial variability of rainfall can be visualized more detail for each sub-region by means of histogram and QQ-Plot. The thematic map showed that the distribution of average annual rainfall in the region range from 1,200 mm/year up to 2,600 mm/year. Maximum annual rainfall range between 2,100 mm/year up to 4,500 mm/year. The result also show the positif correlation between the altitude of the rain gauge and local annual rainfall received.
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MARSZ, ANDRZEJ A. y ANNA STYSZYŃSKA. "INERCJA ROCZNEGO ODPŁYWU CAŁKOWITEGO RZEK POLSKI WZGLĘDEM MIĘDZYROCZNEJ ZMIENNOŚCI PRZEBIEGU ELEMENTÓW KLIMATYCZNYCH". Badania Fizjograficzne Seria A - Geografia Fizyczna, n.º 12 (72) (15 de diciembre de 2021): 159–79. http://dx.doi.org/10.14746/bfg.2021.12.9.

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The work discusses the formation of the annual total runoff of Polish rivers as a function of changes in the annual values of climatic elements. The results of the analysis show that in the years 1966–2015, 40–50% of the runoff variance in a hydrological year was determined by the variability of climatic elements that occurred in the preceding year, and 20–30% in the same year. This indicates the occurrence of much stronger inertia in the variability of the runoff in relation to the variability of weather conditions. The main elements influencing the variability of the runoff are the annual rainfall and the annual air temperature in the preceding year, and in the same hydrological year – the variability of annual rainfall, sunshine duration and air temperature. The runoff from the area of Poland shows a strong relationship (R = 0.82) with the de Martonne climate aridity indices, the variability of which in the preceding and the current year together explains ~66% of its variance.
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Gunnarsson, Andri, Sigurdur M. Gardarsson, Finnur Pálsson, Tómas Jóhannesson y Óli G. B. Sveinsson. "Annual and inter-annual variability and trends of albedo of Icelandic glaciers". Cryosphere 15, n.º 2 (8 de febrero de 2021): 547–70. http://dx.doi.org/10.5194/tc-15-547-2021.

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Abstract. During the melt season, absorbed solar energy, modulated at the surface predominantly by albedo, is one of the main governing factors controlling surface-melt variability for glaciers in Iceland. Using MODIS satellite-derived daily surface albedo, a gap-filled temporally continuous albedo product is derived for the melt season (May to August (MJJA)) for the period 2000–2019. The albedo data are thoroughly validated against available in situ observations from 20 glacier automatic weather stations for the period 2000–2018. The results show that spatio-temporal patterns for the melt season have generally high annual and inter-annual variability for Icelandic glaciers, ranging from high fresh-snow albedo of about 85 %–90 % in spring to 5 %–10 % in the impurity-rich bare-ice area during the peak melt season. The analysis shows that the volcanic eruptions in 2010 and 2011 had significant impact on albedo and also had a residual effect in the following years. Furthermore, airborne dust, from unstable sandy surfaces close to the glaciers, is shown to enhance radiative forcing and decrease albedo. A significant positive albedo trend is observed for northern Vatnajökull while other glaciers have non-significant trends for the study period. The results indicate that the high variability in albedo for Icelandic glaciers is driven by climatology, i.e. snow metamorphosis, tephra fallout during volcanic eruptions and their residual effects in the post-eruption years, and dust loading from widespread unstable sandy surfaces outside the glaciers. This illustrates the challenges in albedo parameterization for glacier surface-melt modelling for Icelandic glaciers as albedo development is driven by various complex phenomena, which may not be correctly captured in conventional energy-balance models.
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Tesis sobre el tema "Annual variability"

1

Wallace, Craig. "Variability in the annual cycle of temperature and the atmospheric circulation". Thesis, University of East Anglia, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.399842.

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Gutzler, David Scott. "The structure of annual and interannual wind variability in the tropics". Thesis, Massachusetts Institute of Technology, 1986. http://hdl.handle.net/1721.1/54309.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Earth, Atmospheric, and Planetary Sciences, 1986.
Microfiche copy available in Archives and Science
Bibliography: leaves 218-224.
by David Scott Gutzler.
Ph.D.
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3

Ding, Hui [Verfasser]. "Annual to interannual equatorial Atlantic variability : mechanisms and tropical impacts / Hui Ding". Kiel : Universitätsbibliothek Kiel, 2010. http://d-nb.info/1020003529/34.

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Hytteborn, Julia. "Water Quality in Swedish Lakes and Watercourses : Modeling the Intra-Annual Variability". Doctoral thesis, Uppsala universitet, Institutionen för geovetenskaper, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-234480.

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Water quality is of great importance for ecosystems and society. This thesis characterized and modeled the variation in several key constituents of Swedish surface waters, with particular consideration given to intra-annual variability and sensitivity to climate change. Cyanobacterial data from 29 lakes and basins as well as total organic carbon (TOC) from 215 watercourses were used. Extensive data on catchment characteristics, morphometry, discharge, temperature and other water chemistry data were also analyzed. Models characterizing the seasonality in cyanobacterial concentration and relative cyanobacterial abundance were developed with common lake variables. Concentrations of TOC, iron and absorbance were simulated using discharge, seasonality and long-term trend terms in the Fluxmaster modeling system. Spatial patterns in these model terms were investigated, and the sensitivity of cyanobacteria and TOC to future climate was explored. Nutrients were the major control on cyanobacterial concentration seasonality, while temperature was more important for relative cyanobacterial abundance. No cyanobacterial blooms occurred below a total phosphorus threshold of 20 µg l-1. Discharge and seasonality explained much of the intra-annual variability in TOC, but catchment characteristics could only explain a limited amount of the spatial patterns in the sensitivity to these influences. North of Limes Norrlandicus the discharge term had a larger impact on the TOC concentration in large catchments than in small catchments, while south of Limes Norrlandicus the seasonality had a larger impact in small catchments than in larger catchments. According to the climate change scenarios, both TOC and cyanobacterial concentrations will be higher in the future. The cyanobacterial dominance will start earlier and persist longer. The spring TOC concentration peak will come earlier. The changes in TOC loads are more uncertain due to predicted declines in discharge. Parsimonious statistical regression models could explain observed variability in cyanobacteria and TOC. For predictions, these models assume that future aquatic ecosystems will exhibit the same sensitivity to major drivers as in the past. If this proves not to be the case, the modeling can serve as a sentinel for changing catchment function as indicated by degradation in model performance when calibrations on older data are used to model later observations.
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Filipe, Vianda Lulendo Luankosi. "Seasonal and inter-annual variability of SST and chlorophyll-a off Angola". Master's thesis, University of Cape Town, 2006. http://hdl.handle.net/11427/6472.

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Includes bibliographical references (p. 105-112).
The aim of this dissertation is to use satellite-derived images for the study of spatial and temporal variations in SST and in concentration of surface chlorophyll-a of the main oceanographic features off Angola. SST time-series over the 1987 to 2002 were derived from Meteosat 5-day SST composites with a spatial resolution of about 5-6 km in Angolan waters and a thermal resolution of 0.5°C. Chlorophyll-a data were from a 5-day composite of SeaWiFS GAC (4.5 km 'Global Area Coverage') images. Such images were available on a format comparable with the Meteosat SST composite images and covered the period 1998 to 2004.
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Mount, Christopher P. "Spatial, temporal, and inter-annual variability of the Martian northern seasonal polar cap". Thesis, Northern Arizona University, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=1537795.

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Earth and Mars have nearly the same axial tilt, so seasons on these two bodies progress in a similar manner. During fall and winter on Mars, the primarily CO2 atmosphere (~95% by volume) condenses out onto the poles as ice. Approximately 25% of the entire Martian atmosphere condenses, and then sublimes in the spring, making this cycle a dominant driver in the global climate. Because the water and dust cycles are coupled to this CO2 cycle, we must examine seasonal CO2 processes to understand the global (seasonal) distribution of H2O on Mars. The density of the ice may indicate whether it condensed in the atmosphere and precipitated as “snow” or condensed directly onto the surface as “slab”. Variations in density may be controlled by geographic location and surface morphology. The distribution and variations in densities of seasonal deposits on the Martian poles gives us insight to the planet’s volatile inventories. Here we analyze density variations over time on Mars’ Northern Polar Seasonal Cap (NPSC) using observational data and energy balance techniques.

We calculate the bulk density of surface CO2 ice by dividing the column mass abundance (the mass of CO2 per unit area) by the depth of the ice cap at a given location. We use seasonal rock shadow measurements from High Resolution Imaging Science Experiment (HiRISE) images to estimate ice depth. The length of a rock’s shadow is related to its height through the solar incidence angle and the slope of the ground.

From differences in the height of a rock measured in icy vs. ice-free images, we estimate the depth of surface ice at the time of the icy observation. Averaging over many rocks in a region yields the ice depth for that region. This technique yields minimums for ice depth and therefore maximums for density.

Thermal properties of rocks may play an important role in observed ice depths. Crowns of ice may form on the tops of rocks with insufficient heat capacity to inhibit ice condensation, and may cause an artificial increase in shadow length. This increases the apparent height of a rock and thus decreases the apparent surface ice depth. Additionally, moats may form around rocks with sufficient heat capacity to sublime ice as it is deposited. Moating will also artificially increase the shadow lengths (decreasing apparent surface ice depth). We correct for these effects in our depth-estimation technique.

We balance incoming solar flux with outgoing thermal radiation from Thermal Emission Spectrometer (TES) observations to calculate the column mass abundance. TES thermal bolometer atmospheric albedo and temperature observations are a good proxy to the surface bond albedo and effective surface temperature. These parameters are needed to balance the incoming and outgoing flux.

Mars’ atmosphere is tenuous so we assume homogeneous radiance from the surface to the top of the atmosphere, no lateral diffusion of heat, and that any excess heat goes into subliming surface ice in our flux balance. Using a Monte Carlo model, we integrate the net flux until reaching the time where Cap Recession Observations indicate CO2 has Ultimately Sublimed (the CROCUS date) to obtain the column mass abundance.

We study seasonal ice at three distinct geomorphic units: plains, dune fields, and craters. Two plains regions, four dunes regions, and two crater regions are analyzed over springtime sublimation. Data for these regions spanned three Mars Years.

Our results indicate that the evolution of seasonally deposited CO 2 ice on the Northern Polar Cap of Mars is highly dependent on complex relationships between various processes. The grain size, dust contamination, water doping, and density vary dramatically over time. The initially deposited material varies according to local geomorphic features and topography, as well as latitude and longitude. The inter-annual variability of ice may play a role in its evolution over sublimation, but likely plays a smaller role than anticipated. Low normalized initial and time-averaged densities suggest that NPSC deposits are initially low and remain relatively low throughout spring. These densities are very similar to estimates made by previous studies. Thus, we conclude that the NPSC is indeed pervaded by low density deposits. These deposits densify over time, but rarely reach typical characteristics for pure slab ice.

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Marston, Michael Lee. "Analysis of Extreme Reversals in Seasonal and Annual Precipitation Anomalies Across the United States, 1895-2014". Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/71697.

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As population and urbanization increase across the United States, the effects of natural hazards may well increase, as extreme events would increasingly affect concentrated populations and the infrastructure upon which they rely. Extreme precipitation is one natural hazard that could stress concentrated populations, and climate change research is engaging heavy precipitation frequency and its impacts. This research focuses on the less-studied phenomenon of an extreme precipitation reversal - defined as an unusually wet (dry) period that is preceded by an unusually dry (wet) period. The magnitude is expressed as the difference in the percentiles of the consecutive periods analyzed. This concept has been documented only once before in a study that analyzed extreme precipitation reversals for a region within the southwestern United States. That study found that large differences in precipitation from consecutive winters, a hydrologically critical season for the region, occurred more frequently than what would be expected from random chance, and that extreme precipitation reversals have increased significantly since 1960. This research expands upon the previous work by extending the analysis to the entire continental United States and by including multiple temporal resolutions. Climate division data were used to determine seasonal and annual precipitation for each of nine climate regions of the continental United States from 1895-2014. Precipitation values were then ranked and given percentiles for seasonal and annual data. The season-to-season analysis was performed in two ways. The first examined consecutive seasons (e.g., winter–spring, spring–summer) while the second analyzed the seasonal data from consecutive years (e.g., spring 2014–spring 2015). The annual data represented precipitation for the period October 1–September 30, or the 'water year' used by water resource managers. Following the approach of the previous study, a secondary objective of the research was to examine large-scale climate teleconnections for historical relationships with the occurrence of precipitation reversals. The El Nino-Southern Oscillation was chosen for analysis due to its well-known relationships with precipitation patterns across the United States. Results indicate regional expressions of a propensity for extreme precipitation reversals and relationships with teleconnections that may afford stakeholders guidance for proactive management. Precipitation reversal (PR) and extreme precipitation reversal (EPR) values were significantly larger for the second half of the study period for the western United States for the winter-to-winter, spring-to-spring, and year-to-year analyses. The fall-to-fall analysis also revealed changes in PR/EPR values for several regions, including the northwest, the Northern Rockies and Plains, and the Ohio Valley. Relationships between the winter-to-winter PR time series and an index representing the El Nino-Southern Oscillation (ENSO) phenomenon were examined. The winter-to-winter PR time series of the Northern Rockies and Plains region and the South exhibited significant relationships with the time series of Niño 3.4 values. El Niño (La Niña) coincided with more wet-to-dry (dry-to-wet) PR/EPR values for the Northern Rockies and Plains, while El Niño (La Niña) coincided with more dry-to-wet (wet-to-dry) PR/EPR values for the South.
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8

Kohn, Deborah Diane. "Effects of genetic variability and founder number in small populations of an annual plant". Thesis, Imperial College London, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.286448.

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Bathke, Deborah J. "Meteorological processes controlling the variability of net annual accumulation over the Greenland ice sheet". Connect to this title online, 2004. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1073073721.

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Thesis (Ph. D.)--Ohio State University, 2004.
Title from first page of PDF file. Document formatted into pages; contains xv, 200 p.; also includes graphics. Includes bibliographical references (p. 173-184).
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Maldonado, Tito. "Inter-annual variability of rainfall in Central America : Connection with global and regional climate modulators". Doctoral thesis, Uppsala universitet, Luft-, vatten och landskapslära, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-304656.

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Central America is a region regularly affected by natural disasters, with most of them having a hydro-meteorological origin. Therefore, the understanding of annual changes of precipitation upon the region is relevant for planning and mitigation of natural disasters. This thesis focuses on studying the precipitation variability at annual scales in Central America within the framework of the Swedish Centre for Natural Disaster Science. The aims of this thesis are: i) to establish the main climate variability sources during the boreal winter, spring and summer by using different statistical techniques, and ii) to study the connection of sea surface temperature anomalies of the neighbouring oceans with extreme precipitation events in the region. Composites analysis is used to establish the variability sources during winter. Canonical correlation analysis is employed to explore the connection between the SST anomalies and extreme rainfall events during May-June and August-October. In addition, a global circulation model is used to replicate the results found with canonical correlation analysis, but also to study the relationship between the Caribbean Sea surface temperature and the Caribbean low-level jet. The results show that during winter both El Niño Southern Oscillation and the Pacific Decadal Oscillation, are associated with changes of the sea level pressure near the North Atlantic Subtropical High and the Aleutian low. In addition, the El Niño Southern Oscillation signal is intensified (destroyed) when El Niño and the Pacific Decadal Oscillation have the same (opposite) sign. Sea surface temperature anomalies have been related to changes in both the amount and temporal distribution of rainfall. Precipitation anomalies during May-June are associated with sea surface temperature anomalies over the Tropical North Atlantic region. Whereas, precipitation anomalies during August-September-October are associated with the sea surface temperature anomalies contrast between the Pacific Ocean and the Tropical North Atlantic region. Model outputs show no association between sea surface temperature gradients and the Caribbean low-level jet intensification. Canonical correlation analysis shows potential for prediction of extreme precipitation events, however, forecast validation shows that socio-economic variables must be included for more comprehensive natural disaster assessments.
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Libros sobre el tema "Annual variability"

1

Rockcastle, Siobhan y Marilyne Andersen. Annual Dynamics of Daylight Variability and Contrast. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5233-0.

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Yi, Chao y United States. National Aeronautics and Space Administration., eds. Evolution dynamics of tropical ocean-atmosphere annual cycle variability. [Washington, DC: National Aeronautics and Space Administration, 1996.

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Quadir, Dewan Abdul. Inter-annual and intra-seasonal variability of temperature and precipitation of Bhutan. Dhaka: SAARC Meteorological Research Centre (SMRC), 2005.

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4

Furgerson, John Alan. Inter-annual variability of acoustic ray travel times in the Northeast Pacific. Springfield, Va: Available from the National Technical Information Service, 1990.

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P, Wilkerson Frances y United States. National Aeronautics and Space Administration., eds. Global climatology and variability of potential new production estimated from remote sensing of sea-surface temperature: Final report. [Washington, DC]: National Aeronautics and Space Administration, 1995.

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Eckermann, Stephen D. Mesoscale variability in SUCCESS data: Contract NAS5-97247 : annual report, Oct. 1, 1997-Sep 30, 1998. [Washington, DC: National Aeronautics and Space Administration, 1998.

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Hulme, M. The tropical easterly jet and Sudan rainfall 2: Inter- and intra-annual variability during 1968-85. Salford: University of Salford Department of Geography, 1988.

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United States. National Aeronautics and Space Administration., ed. Assessment of climate variability of the Greenland Ice Sheet: Integration of in situ and satellite data. Boulder, CO: University of Colorado, Cooperative Institute for Research in Environmental Sciences, 1994.

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Rockcastle, Siobhan. Annual Dynamics of Daylight Variability and Contrast: A Simulation-Based Approach to Quantifying Visual Effects in Architecture. London: Springer London, 2013.

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United States. National Aeronautics and Space Administration., ed. Interannual variation of seasonal means and subseasonal variability of cloud streets off the east coast of North America, 1984-1987. [Greeley, Colo.]: Univ. of Northern Colorado, Geography Dept., 1990.

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Capítulos de libros sobre el tema "Annual variability"

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de Hoyos, Caridad y Francisco A. Comín. "The importance of inter-annual variability for management". En The Ecological Bases for Lake and Reservoir Management, 281–91. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-017-3282-6_25.

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Rockcastle, Siobhan y Marilyne Andersen. "Defining New Metrics for Contrast and Variability". En Annual Dynamics of Daylight Variability and Contrast, 37–51. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5233-0_4.

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Mork, Kjell Arne y Øystein Skagseth. "Annual sea surface height variability in the Nordic seas". En The Nordic Seas: An Integrated Perspective Oceanography, Climatology, Biogeochemistry, and Modeling, 51–64. Washington, D. C.: American Geophysical Union, 2005. http://dx.doi.org/10.1029/158gm05.

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Rockcastle, Siobhan y Marilyne Andersen. "Introduction". En Annual Dynamics of Daylight Variability and Contrast, 1–8. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5233-0_1.

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Rockcastle, Siobhan y Marilyne Andersen. "Research Context". En Annual Dynamics of Daylight Variability and Contrast, 9–22. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5233-0_2.

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Rockcastle, Siobhan y Marilyne Andersen. "Architectural Context". En Annual Dynamics of Daylight Variability and Contrast, 23–35. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5233-0_3.

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Rockcastle, Siobhan y Marilyne Andersen. "Application of New Metrics to Abstract Spatial Models". En Annual Dynamics of Daylight Variability and Contrast, 53–68. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5233-0_5.

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Rockcastle, Siobhan y Marilyne Andersen. "Application of New Metrics to Detailed Case Studies". En Annual Dynamics of Daylight Variability and Contrast, 69–80. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5233-0_6.

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Rockcastle, Siobhan y Marilyne Andersen. "Conclusion". En Annual Dynamics of Daylight Variability and Contrast, 81–83. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5233-0_7.

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Molla, Md Khademul Islam, A. T. M. Jahangir Alam, Munmun Akter, A. R. Shoyeb Ahmed Siddique y M. Sayedur Rahman. "Analysis of Inter-Annual Climate Variability Using Discrete Wavelet Transform". En Computational Intelligence Techniques in Earth and Environmental Sciences, 155–71. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-8642-3_9.

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Actas de conferencias sobre el tema "Annual variability"

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Pol'kin, Victor V. "Temporal variability of microstructural parameters of near-ground aerosol: I. Annual and seasonal variability". En SPIE Proceedings, editado por Gennadii G. Matvienko y Vladimir P. Lukin. SPIE, 2004. http://dx.doi.org/10.1117/12.606363.

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Kekez, Toni. "Variability of expected annual damage as flood risk indicator". En Zajednički temelji 2023. - uniSTem : deseti skup mladih istraživača iz područja građevinarstva i srodnih tehničkih znanosti, Split, 14.-17. rujna, 2023. = Common Foundations 2023 - uniSTem : the tenth meeting of young researchers in the field of civil engineering and related technical sciences, 14-17 September 2023, Split. University of Split, Faculty of Civil Engineering, Architecture and Geodesy, 2023. http://dx.doi.org/10.31534/10.zt.2023.24.

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River floods are considered to be one of the most significant natural disasters, causing considerable damage each year. Risk assessment, as well as efficient risk management, are key aspects for the mitigation of flood-related consequences. The most common approach for quantifying flood risk is to estimate the expected annual damage, which combines the probability of occurrence and the associated damage. However, the concept of expected annual damage is considered a risk-neutral solution that maximizes economic efficiency. This paper analyzed the variability of expected annual damage as a risk indicator. The goal was to demonstrate the relationship between the expected annual damage and the values of the relative annual damage caused by different flood scenarios. The results showed a high probability of exceeding the expected annual damage. Furthermore, due to the notable asymetry of the annual distribution of damage, the impact of low-probability flood scenarios with large damage is significant. Finally, future conditions such as climate change and urbanization will have a strong impact on the annual distribution of damage.
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Hu, Ting y Wolfgang Banzhaf. "Neutrality and variability". En the 11th Annual conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1569901.1570033.

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Ineichen, Pierre. "Global Irradiance: Typical Year and Year to Year Annual Variability". En ISES Solar World Congress 2011. Freiburg, Germany: International Solar Energy Society, 2011. http://dx.doi.org/10.18086/swc.2011.24.16.

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Marculescu, Diana y Emil Talpes. "Variability and energy awareness". En the 42nd annual conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1065579.1065588.

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Karakatsani, Anna, Sophia Rodopoulou, Evangelia Samoli, Konstantina Dimakopoulou y Klea Katsouyanni. "EBCpH variability in healthy children". En Annual Congress 2015. European Respiratory Society, 2015. http://dx.doi.org/10.1183/13993003.congress-2015.pa2096.

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Ignatov, Anatoly, Olga Osipova y Anna Balybina. "Patterns and stochastic models of the annual precipitation variability in Siberia". En XXIII International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics, editado por Oleg A. Romanovskii y Gennadii G. Matvienko. SPIE, 2017. http://dx.doi.org/10.1117/12.2285015.

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Саидова, Д. "VARIABILITY OF ANNUAL TOTAL ATMOSPHERIC PRECIPITATION IN THE ZERAFSHAN RIVER BASIN". En Геосфера. Современные проблемы естественных наук. Baskir State University, 2022. http://dx.doi.org/10.33184/gspen-2022-03-31.13.

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Chu, Peter C., Colleen M. McDonald, Murat Kucukosmanoglu, Albert Judono, Tetyana Margolina y Chenwu Fan. "Effect of inter- and intra-annual thermohaline variability on acoustic propagation". En SPIE Defense + Security, editado por Weilin (Will) Hou y Robert A. Arnone. SPIE, 2017. http://dx.doi.org/10.1117/12.2258687.

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Herbert, Sebastian y Diana Marculescu. "Characterizing chip-multiprocessor variability-tolerance". En the 45th annual conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1391469.1391550.

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Informes sobre el tema "Annual variability"

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Lopez, Anthony, Galen Maclaurin, Billy Roberts y Evan Rosenlieb. Capturing Inter-Annual Variability of PV Energy Production in South Asia. Office of Scientific and Technical Information (OSTI), agosto de 2017. http://dx.doi.org/10.2172/1378082.

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Bradley, R. S. y H. F. Diaz. Diagnostic studies of climate variability. Annual report, December 1, 1992--November 30, 1993. Office of Scientific and Technical Information (OSTI), diciembre de 1993. http://dx.doi.org/10.2172/10106283.

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Bradley, R. S. y H. F. Diaz. Diagnostic studies of climate variability. Annual report, December 1, 1991--November 30, 1992. Office of Scientific and Technical Information (OSTI), noviembre de 1992. http://dx.doi.org/10.2172/10190804.

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Chen, J. M., J. Liu y J. Cihlar. Spatial and Inter-annual Variability of Canada's Net Primary Productivity Based on Satellite Imagery. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2000. http://dx.doi.org/10.4095/219601.

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Jensen, Tommy G. Inter-annual Variability and Prediction of Eddies in the Gulf of Aden and the Somali Current Region. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 2008. http://dx.doi.org/10.21236/ada533999.

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Price, James F. Impact of Typhoons on the Western Pacific: Temporal and Horizontal Variability of SST Cooling Annual Report, 2020. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 2010. http://dx.doi.org/10.21236/ada542475.

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Jensen, Tommy G. Inter-Annual Variability and Prediction of Eddies in the Gulf of Aden and the Somali Current Region. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 2007. http://dx.doi.org/10.21236/ada573101.

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Jaing, C., J. Allen, N. Be, S. Gardner, K. McLoughlin, S. Weaver, N. Forrester y M. Guerbois. Annual Report on characterization of genetic variability and virulence mechanisms of Venezuelan equine encephalitis viruses for DTRA. Office of Scientific and Technical Information (OSTI), julio de 2014. http://dx.doi.org/10.2172/1150042.

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Pérez, N., D. Criollo y S. Ospina. Wood density and vessel traits of woody species in Colombian seasonal dry lands as an adaptation to, and resilience mechanism for, livestock systems. Corporación colombiana de investigación agropecuaria - AGROSAVIA, 2019. http://dx.doi.org/10.21930/agrosavia.poster.2019.5.

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In Colombia, as well as in South America, dry seasonal tropics have drought periods that can last for six months with less than 10% of mean annual rainfall (900-1150 mm). For livestock systems, this situation generates constraints in the quantity and quality of forage affecting productivity, protability and causing damage to natural resources (Figure 1). Within vegetative genetic resources, fodder trees are recognized for their adaptation to climate change and because they are a source of nutrients for herbivores, they are a topic that waits for improving knowledge about their contribution to mitigation. This study explores the range and variability patterns of xylem vessel traits and wood density of 24 woody forage species (Table 1) which occur within pastures and semi-natural grasslands in dry seasonal areas of the Tolima and Huila departments of Colombia.
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Yeates, Elissa, Kayla Cotterman y Angela Rhodes. Hydrologic impacts on human health : El Niño Southern Oscillation and cholera. Engineer Research and Development Center (U.S.), enero de 2020. http://dx.doi.org/10.21079/11681/39483.

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A non-stationary climate imposes considerable challenges regarding potential public health concerns. The El Niño Southern Oscillation (ENSO) cycle, which occurs every 2 to 7 years, correlates positively with occurrences of the waterborne disease cholera. The warm sea surface temperatures and extreme weather associated with ENSO create optimal conditions for breeding the Vibrio cholerae pathogen and for human exposure to the pathogenic waters. This work explored the impacts of ENSO on cholera occurrence rates over the past 50 years by examining annual rates of suspected cholera cases per country in relation to ENSO Index values. This study provides a relationship indicating when hydrologic conditions are optimal for cholera growth, and presents a statistical approach to answer three questions: Are cholera outbreaks more likely to occur in an El Niño year? What other factors impact cholera outbreaks? How will the future climate impact cholera incidence rates as it relates to conditions found in ENSO? Cholera outbreaks from the 1960s to the present are examined focusing on regions of Central and South America, and southern Asia. By examining the predictive relationship between climate variability and cholera, we can draw conclusions about future vulnerability to cholera and other waterborne pathogenic diseases.
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