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Journal articles on the topic 'Annual variability'

Author: Grafiati

Published: 25 May 2024

Last updated: 25 July 2025

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1

Zhao, C., Y. Ding, B. Ye, et al. "An analyses of long-term precipitation variability based on entropy over Xinjiang, northwestern China." Hydrology and Earth System Sciences Discussions 8, no. 2 (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

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2

Xie, Tiejun, Jianping Li, Kaiqi Chen, Yazhou Zhang, and Cheng Sun. "Origin of Indian Ocean multidecadal climate variability: role of the North Atlantic Oscillation." Climate Dynamics 56, no. 9-10 (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 IO

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3

Indarto, Indarto, and Askin Askin. "VARIABILITAS SPASIAL HUJAN DI WILAYAH UPT PSDA DI MALANG." Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) 6, no. 3 (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 themati

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4

Winder, Monika, and James E. Cloern. "The annual cycles of phytoplankton biomass." Philosophical Transactions of the Royal Society B: Biological Sciences 365, no. 1555 (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

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5

MARSZ, ANDRZEJ A., and ANNA STYSZYŃSKA. "INERCJA ROCZNEGO ODPŁYWU CAŁKOWITEGO RZEK POLSKI WZGLĘDEM MIĘDZYROCZNEJ ZMIENNOŚCI PRZEBIEGU ELEMENTÓW KLIMATYCZNYCH." Badania Fizjograficzne Seria A - Geografia Fizyczna, no. 12 (72) (December 15, 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 ra

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6

Askin, Askin, Indarto Indarto, Dimas Ghufron Ash-Shiddiq, and Sri Wahyuningsih. "Variabilitas Spasial Hujan Tahunan di Wilayah UPT PSDA di Pasuruan, Jawa Timur : Analisis Histogram dan Normal QQ-Plot." Rona Teknik Pertanian 11, no. 1 (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 menggu

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Valdez-Cepeda, R. D. "Variability of annual wheat yields in Mexico." Agricultural and Forest Meteorology 66, no. 3-4 (1993): 187–92. http://dx.doi.org/10.1016/0168-1923(93)90070-x.

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8

Rohli, Robert V., Sara A. Ates, Victor H. Rivera‐Monroy, et al. "Inter‐annual hydroclimatic variability in coastal Tanzania." International Journal of Climatology 39, no. 12 (2019): 4736–50. http://dx.doi.org/10.1002/joc.6103.

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9

Mäemets, Helle, Lilian Freiberg, Marina Haldna, and Tõnu Möls. "Inter-annual variability of Potamogeton perfoliatus stands." Aquatic Botany 85, no. 3 (2006): 177–83. http://dx.doi.org/10.1016/j.aquabot.2006.03.008.

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10

Möller, Jens, Dietmar Dommenget, and Vladimir A. Semenov. "The Annual Peak in the SST Anomaly Spectrum." Journal of Climate 21, no. 12 (2008): 2810–23. http://dx.doi.org/10.1175/2007jcli2025.1.

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Abstract The manner in which monthly mean sea surface temperature anomalies (SSTAs) show enhanced variance at the annual period in the extratropics (an annual peak in the variance spectrum) is illustrated by observations and model simulations. A mechanism, related to the reemergence of winter SST anomalies, is proposed to explain the annual peak in SST spectrum. The idea is supported by the analysis of a hierarchy of models, including Intergovernmental Panel on Climate Change model simulations. The results of the model experiments further suggest that the annual peak is either weak or absent i

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11

Dubravin, V. F., M. V. Kapustina, and Zh I. Stont. "Estimation of heat fluxes at the ocean-atmosphere interface in the south-western part of the Baltic Sea (2003—2016)." Известия Русского географического общества 151, no. 4 (2019): 15–26. http://dx.doi.org/10.31857/s0869-6071151415-26.

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Based hydrometeorological data of the MARNET monitoring network, with the sampling interval of 1-hour, from 2003—2016, provided by the German Oceanographic Data Centre (BSH / DOD (M41)), the contributions of the irregular daily variability, the regular daily variability, the synoptic variability, the irregular intra-annual variability, the regular seasonal variability and the interannual component in the total temporal variability of the sensible and latent heat fluxes were estimated. The intra-annual and inter-annual variability of the specific contribution of the daily component of the sensi

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12

Bates, Susan C. "Coupled Ocean–Atmosphere Interaction and Variability in the Tropical Atlantic Ocean with and without an Annual Cycle." Journal of Climate 21, no. 21 (2008): 5501–23. http://dx.doi.org/10.1175/2008jcli1983.1.

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Abstract Many previous studies point to a connection between the annual cycle and interannual variability in the tropical Atlantic Ocean. To investigate the importance of the annual cycle in the generation of tropical Atlantic variability (TAV) as well as its associated coupled feedback mechanisms, a set of controlled experiments is conducted using a global coupled ocean–atmosphere general circulation model (GCM) in which the climatological annual cycle is modified. An anomaly coupling strategy was developed to improve the model-simulated annual cycle and mean sea surface temperature (SST), wh

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R., S. Talole1 M. U. Kale2. "STUDY OF CLIMATIC VARIABILITY AT AKOLA STATION." MULTILOGIC IN SCIENCE XXXXVIII, OCT 2023 (2023): 1038–42. https://doi.org/10.5281/zenodo.8401994.

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Climate change is global problem. It has location specific effects. In this study annual and weekly climate variability in terms of rainfall, minimum and maximum temperature were analyzed for the period from 1998 to 2019 for Akola station. The increase in average annual maximum and minimum temperature for Akola station was found as 0.8% and 1.5%, respectively. The average reduction in annual rainfall for Akola station was 99.02 mm (11.76%) over the period of study.  

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14

Gunnarsson, Andri, Sigurdur M. Gardarsson, Finnur Pálsson, Tómas Jóhannesson, and Óli G. B. Sveinsson. "Annual and inter-annual variability and trends of albedo of Icelandic glaciers." Cryosphere 15, no. 2 (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 sea

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15

Yang, Chengcheng, Xiao Chen, Xuhua Cheng, and Bo Qiu. "Annual versus semi-annual eddy kinetic energy variability in the Celebes Sea." Journal of Oceanography 76, no. 6 (2020): 401–18. http://dx.doi.org/10.1007/s10872-020-00553-7.

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16

Marasco, Ramona, Marco Fusi, Cristina Coscolín, et al. "Enzyme adaptation to habitat thermal legacy shapes the thermal plasticity of marine microbiomes." Nature Communications 14 (February 24, 2023): 1045. https://doi.org/10.1038/s41467-023-36610-0.

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Microbial communities respond to temperature with physiological adaptation and compositional turnover. Whether thermal selection of enzymes explains marine microbiome plasticity in response to temperature remains unresolved. By quantifying the thermal behaviour of seven functionally-independent enzyme classes (esterase, extradiol dioxygenase, phosphatase, beta-galactosidase, nuclease, transaminase, and aldo-keto reductase) in native proteomes of marine sediment microbiomes from the Irish Sea to the southern Red Sea, we record a significant effect of the mean annual temperature (MAT) on enzyme

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17

Tiessen, M. C. H., L. Fernard, T. Gerkema, J. van der Molen, P. Ruardij, and H. W. van der Veer. "Numerical modelling of physical processes governing larval transport in the Southern North Sea." Ocean Science Discussions 10, no. 5 (2013): 1765–806. http://dx.doi.org/10.5194/osd-10-1765-2013.

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Abstract. A three-dimensional hydrodynamic model (GETM) was coupled with a particle tracking routine (GITM) to study the inter-annual variability in transport paths of particles in the North Sea and English Channel. For validation, a comparison with observed drifter trajectories was made. The aim was to investigate to what extent variability in the hydrodynamic conditions alone (reflecting passive particle transport) contributed to inter-annual variability in transport of eggs and larvae. In this idealized study, no a-priori selection of spawning grounds or periods was made and no active behav

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18

Bates, Susan C. "Seasonal Influences on Coupled Ocean–Atmosphere Variability in the Tropical Atlantic Ocean." Journal of Climate 23, no. 3 (2010): 582–604. http://dx.doi.org/10.1175/2009jcli2826.1.

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Abstract Numerous studies and observational analyses point to a connection between the annual cycle and tropical Atlantic variability, specifically the influence of the seasons. Although a previous study has shown that the annual cycle is not necessary for the generation of this variability, this study demonstrates that the annual cycle provides particular conditions that modulate this variability. Particular seasons are investigated through the use of a coupled ocean–atmosphere model using anomaly coupling as the coupling strategy in order to control the mean state of the system. To isolate t

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19

Dubravin, V. F., M. V. Kapustina, and Zh I. Stont. "SYNOPTIC COMPONENT OF METEOROLOGICAL ELEMENTS IN THE SOUTHERN BALTIC SEA." Journal of Oceanological Research 50, no. 2 (2022): 34–55. http://dx.doi.org/10.29006/1564-2291.jor-2022.50(2).2.

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Based on field observations of air temperature Ta, relative humidity f (dew point temperature Td or water vapor elasticity ea), atmospheric pressure at sea level P0 and wind speed W at stations Arkona, Darss Sill and Fehmarn-Belt of the MARNET monitoring network of the German Oceanographic Datacentre for 2002–2020 with a discreteness of 1 hour, as well as on the offshore ice-resistant stationary platform of OOO LUKOIL – Kaliningradmorneft (D6) for 2004–2020 with a discreteness of 1 hour, estimates of the contributions of the short-term (consisting of irregular intradiurnal, regular daily varia

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20

McMahon, Thomas A., Murray C. Peel, Geoffrey G. S. Pegram, and Ian N. Smith. "A Simple Methodology for Estimating Mean and Variability of Annual Runoff and Reservoir Yield under Present and Future Climates." Journal of Hydrometeorology 12, no. 1 (2011): 135–46. http://dx.doi.org/10.1175/2010jhm1288.1.

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Abstract Overlying the challenge of managing within natural hydroclimatic variability is the likely modification of runoff variability along with average runoff due to anthropogenic enhancement of greenhouse gas concentrations. In this paper analytical models are developed in which runoff mean and variability, the latter defined by the variance (or standard deviation) of annual runoff, are related to the variances and the covariance of annual precipitation and potential evapotranspiration, and the aridity index (mean annual potential evapotranspiration divided by mean annual precipitation). Th

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21

GRUNSEICH, GARY, and BIN WANG. "Predictability of Arctic Annual Minimum Sea Ice Patterns." Journal of Climate 29, no. 19 (2016): 7065–88. http://dx.doi.org/10.1175/jcli-d-16-0102.1.

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Abstract Prediction of the arctic annual sea ice minimum extent and melting patterns draws interest from numerous industries and government agencies but has been an ongoing challenge for forecasters and climate scientists using statistical and dynamical models. Using the dominant independent modes of interannual sea ice concentration (SIC) variability during September–October, a new approach combining statistical analysis with physically derived links to natural climate variability sources is used to predict each mode and the total anomaly pattern. Sea ice patterns associated with each mode ar

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22

An, Soon-Il, Yoo-Geun Ham, Jong-Seong Kug, Axel Timmermann, Jung Choi, and In-Sik Kang. "The Inverse Effect of Annual-Mean State and Annual-Cycle Changes on ENSO." Journal of Climate 23, no. 5 (2010): 1095–110. http://dx.doi.org/10.1175/2009jcli2895.1.

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Abstract The influence of the tropical Pacific annual-mean state on the annual-cycle amplitude and El Niño–Southern Oscillation (ENSO) variability is studied using the Max Planck Institute for Meteorology coupled general circulation model (CGCM) ECHAM5/Max Planck Institute Ocean Model (MPI-OM1). In a greenhouse warming experiment, an intensified annual cycle of sea surface temperature (SST) in the eastern tropical Pacific is associated with reduced ENSO variability, and vice versa. Analysis showed that the annual-mean states, especially the surface warming in the western Pacific and the thermo

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23

Braithwaite, Roger J. "Mass-balance characteristics of arctic glaciers." Annals of Glaciology 42 (2005): 225–29. http://dx.doi.org/10.3189/172756405781812899.

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AbstractA survey of available mass-balance data shows that glaciers on arctic islands, i.e. mountain glaciers and ice caps in northern Canada, Greenland, Svalbard and the Eurasian islands, share mass-balance characteristics of low annual amplitude and small interannual variability. By contrast, glaciers around the Arctic (e.g. in Alaska, Iceland, mainland Scandinavia and northern Eurasia) can have exceptionally large annual amplitude and interannual variability but otherwise share characteristics with glaciers in lower latitudes. The arctic island glaciers occur in areas with low annual precip

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24

Ruzmaikin, Alexander, Hartmut H. Aumann, and Jonathan H. Jiang. "Interhemispheric Variability of Earth’s Radiation." Journal of the Atmospheric Sciences 72, no. 12 (2015): 4615–28. http://dx.doi.org/10.1175/jas-d-15-0106.1.

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Abstract The variability of interhemispheric symmetry of Earth’s energy serves as an independent indicator of climate change. The analysis of updated data obtained from satellite measurements at the top of the atmosphere (TOA) shows that in accord with Earth’s orbital requirements the annually averaged incident solar radiation is the same in the Northern and Southern Hemispheres, the annual mean of the reflected shortwave radiation is almost north–south symmetric, and the annual mean of the outgoing longwave radiation is larger in the Northern Hemisphere by 1.4 W m−2. These mean radiations sys

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Fatichi, S., V. Yu Ivanov, and E. Caporali. "Investigating Interannual Variability of Precipitation at the Global Scale: Is There a Connection with Seasonality?" Journal of Climate 25, no. 16 (2012): 5512–23. http://dx.doi.org/10.1175/jcli-d-11-00356.1.

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Abstract Interannual variability of precipitation can directly or indirectly affect many hydrological, ecological, and biogeochemical processes that, in turn, influence climate. Despite the significant importance of the phenomenon, few studies have attempted to elucidate spatial patterns of this variability at the global scale. This study uses land gauge precipitation records of the Global Historical Climatology Network, version 2, as well as reanalysis data to provide an assessment of the spatial organization of characteristics of precipitation interannual variability. The coefficient of vari

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26

Mohanakumar, K. "Temperature variability over the tropical middle atmosphere." Annales Geophysicae 12, no. 5 (1994): 448–56. http://dx.doi.org/10.1007/s00585-994-0448-y.

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Abstract. A study on the variability of temperature in the tropical middle atmosphere over Thumba (8 32' N, 76 52' E), located at the southern part of India, has been carried out based on rocket observations for a period of 20 years, extending from 1970 to 1990. The rocketsonde-derived mean temperatures over Thumba are corrected prior to 1978 and then compared with the middle atmospheric reference model developed from satellite observations and Solar Mesosphere Explorer (SME) satellite data. Temperature variability at every 1 km interval in the 25-75 km region was analysed. The tropical strato

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Boretti, Alberto, and Stefania Castelletto. "Low-Frequency Wind Energy Variability in the Continental Contiguous United States." Energies 13, no. 1 (2019): 144. http://dx.doi.org/10.3390/en13010144.

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Wind energy is characterized by exceptionally large power fluctuations at the single energy facility level, that remain significant also considering the average of the many different energy facilities connected to the same grid. A high-frequency statistic, 1 min or less sampling time, is needed to understand this variability and design the energy storage facilities needed to replace the combustion fuel power plants now used to stabilize a grid. While high-frequency data are unavailable for the United States, low-frequency data, collected monthly, allow assessing the month-to-month and year-to-

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P. K. SINGH, K.K. SINGH, L. S. RATHORE, and A. K. BAXLA. "Climatic variability in Jhansi region of Uttar Pradesh." Journal of Agrometeorology 11, no. 1 (2009): 51–53. http://dx.doi.org/10.54386/jam.v11i1.1223.

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The daily rainfall and temperature data 1969-2000 of Jhansi were analyzed to know seasonal and annual variability. Three distinct crop growth seasons kharif (26-41 SMW), rabi (42-15 SMW) and summer (16-25 SMW) were characterized for seasonal trends. The stable rainfall period was worked out. The annual and kharif rainfall showed a decrease in rainfall in recent decade (1984-1993). Trend analysis on rainfall reflects a decrease of 0.89 and 1.12 mm per year in annual and kharif season during past 35 years whereas no such specific trend was observed for rabi and summer seasons. The temperature va

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29

Yin, Dongqin, and Michael L. Roderick. "Inter-annual variability of the global terrestrial water cycle." Hydrology and Earth System Sciences 24, no. 1 (2020): 381–96. http://dx.doi.org/10.5194/hess-24-381-2020.

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Abstract. Variability of the terrestrial water cycle, i.e. precipitation (P), evapotranspiration (E), runoff (Q) and water storage change (ΔS) is the key to understanding hydro-climate extremes. However, a comprehensive global assessment for the partitioning of variability in P between E, Q and ΔS is still not available. In this study, we use the recently released global monthly hydrologic reanalysis product known as the Climate Data Record (CDR) to conduct an initial investigation of the inter-annual variability of the global terrestrial water cycle. We first examine global patterns in partit

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30

Oksiuta, Monika. "Basic Parameters of the Thermal Regime of Rivers in the Vistula River Catchment." Miscellanea Geographica 14, no. 1 (2010): 185–92. http://dx.doi.org/10.2478/mgrsd-2010-0017.

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Abstract Seasonal and multi-annual variability of river water temperature has been analysed based on data from 24 gauge stations of the IMGW network. It has been characterised by means of several values of the thermal regime parameters: mean annual, semi-annual (November-April, May-October) and amplitude. The variability of water temperature in the catchment and in the stream network has been estimated. Measurement data included seven stations at the Vistula river. On the background of natural variability, rivers or their segments have been distinguished where water temperature is impacted by

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HORINO, Haruhiko, and Toshisuke MARUYAMA. "Spatial Variability in Annual Fluctuation of Groundwater Level." Journal of Groundwater Hydrology 32, no. 2 (1990): 81–90. http://dx.doi.org/10.5917/jagh1987.32.81.

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S. I. HALIKATTI, M. P. POTDAR, S. M. HIREMATH, and S. P. DINESHKUMAR. "Annual and seasonal rainfall variability at Dharwad, Karnataka." Journal of Agrometeorology 12, no. 1 (2010): 136–37. http://dx.doi.org/10.54386/jam.v12i1.1294.

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33

Huybers, Peter, and William Curry. "Links between annual, Milankovitch and continuum temperature variability." Nature 441, no. 7091 (2006): 329–32. http://dx.doi.org/10.1038/nature04745.

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Coachman, L. K., and K. Aagaard. "Transports through Bering Strait: Annual and interannual variability." Journal of Geophysical Research 93, no. C12 (1988): 15535. http://dx.doi.org/10.1029/jc093ic12p15535.

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Wheeler, Timothy R., Peter Q. Craufurd, Richard H. Ellis, John R. Porter, and P. V. Vara Prasad. "Temperature variability and the yield of annual crops." Agriculture, Ecosystems & Environment 82, no. 1-3 (2000): 159–67. http://dx.doi.org/10.1016/s0167-8809(00)00224-3.

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Pullinger, D., M. Zhang, N. Hill, and T. Crutchley. "Improving uncertainty estimates: Inter-annual variability in Ireland." Journal of Physics: Conference Series 926 (November 2017): 012006. http://dx.doi.org/10.1088/1742-6596/926/1/012006.

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Delille, D., L. Mallard, and C. Rosiers. "Inter-annual variability in marine coastal Antarctic bacterioplankton." Polar Biology 16, no. 1 (1996): 19–25. http://dx.doi.org/10.1007/bf02388731.

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Pryor, S. C., R. J. Barthelmie, and J. T. Schoof. "Inter-annual variability of wind indices across Europe." Wind Energy 9, no. 1-2 (2006): 27–38. http://dx.doi.org/10.1002/we.178.

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Hunt, B. G. "Multi-annual dry episodes in Australian climatic variability." International Journal of Climatology 29, no. 12 (2008): 1715–30. http://dx.doi.org/10.1002/joc.1820.

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Tavares, A.M., Ricardo Conceição, Francisco M. Lopes, and Hugo G. Silva. "Effect of Solar Irradiation Inter-Annual Variability on PV and CSP Power Plants Production Capacity: Portugal Case-Study." Energies 17, no. 21 (2024): 5490. https://doi.org/10.3390/en17215490.

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The sizing of solar energy power plants is usually made using typical meteorological years, which disregards the inter-annual variability of the solar resource. Nevertheless, such variability is crucial for the bankability of these projects because it impacts on the production goals set at the time of the supply agreement. For that reason, this study aims to fill the gap in the existing literature and analyse the impact that solar resource variability has on solar power plant production as applied to the case of Portugal (southern Europe). To that end, 17 years (2003–2019) of meteorologi

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Yadav, Sunil Kumar, Pankaj Dahiya, Mohit Kamboj, and Atul Galav. "Rainfall Variability Estimation for South-East Rajasthan in India." Ecology, Environment and Conservation 30, Suppl (2024): S212—S215. http://dx.doi.org/10.53550/eec.2024.v30i04s.038.

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The present research investigation was undertaken to work out the rainfall variability analysis of southeast districts of Rajasthan. The coefficient of variation and standard deviation for weekly, monthly and annual rainfall were also computed for all the districts. The normal onset of monsoon over different southeast districts of Rajasthan is between June to October. It was found that the annual rainfall is higher at Banswara district followed by Pratapgarh and Jhalawar. The mean annual rainfall is lowest at Bundi. When the variance for the annual rainfall was examined, it was found be the le

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Goebbert, Kevin H., and Lance M. Leslie. "Interannual Variability of Northwest Australian Tropical Cyclones." Journal of Climate 23, no. 17 (2010): 4538–55. http://dx.doi.org/10.1175/2010jcli3362.1.

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Abstract Tropical cyclone (TC) activity over the southeast Indian Ocean has been studied far less than other TC basins, such as the North Atlantic and northwest Pacific. The authors examine the interannual TC variability of the northwest Australian (NWAUS) subbasin (0°–35°S, 105°–135°E), using an Australian TC dataset for the 39-yr period of 1970–2008. Thirteen TC metrics are assessed, with emphasis on annual TC frequencies and total TC days. Major findings are that for the NWAUS subbasin, there are annual means of 5.6 TCs and 42.4 TC days, with corresponding small standard deviations of 2.3 s

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Musie, Mulugeta, Sumit Sen, and Indrajeet Chaubey. "Hydrologic Responses to Climate Variability and Human Activities in Lake Ziway Basin, Ethiopia." Water 12, no. 1 (2020): 164. http://dx.doi.org/10.3390/w12010164.

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Hydrological impacts of human activities and climate variability on Ketar and Meki watersheds of Lake Ziway basin, Ethiopia were studied using the soil and water assessment tool. Three land-use change and two climate variability scenarios were considered to analyze the separate and combined impacts on annual water balance, monthly streamflow, and spatial distributions of evapotranspiration and water yield. The evaluation showed that changes in land use resulted in an increase in annual surface runoff and water yield for Ketar watershed and an increase in annual ET for Meki. Similarly, the clim

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Kashino, Yuji, Akio Ishida, and Shigeki Hosoda. "Observed Ocean Variability in the Mindanao Dome Region." Journal of Physical Oceanography 41, no. 2 (2011): 287–302. http://dx.doi.org/10.1175/2010jpo4329.1.

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Abstract Ocean variations at semiannual, annual, and interannual time scales in the Mindanao Dome (MD) region of the southern Philippine Sea were examined using data derived from underwater sensors on Triangle Trans-Ocean Buoy Network (TRITON) buoys at 8°N, 137°E; 5°N, 137°E; and 8°N, 130°E. Annual signal dominated above 300-m depth in the MD region. At 5°N, 137°E, saline water exceeding 35 psu was observed at 100–200-m depth from boreal winter to spring, seemingly associated with the meridional migration of the North Equatorial Countercurrent during these seasons. Thermocline ascent, probably

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Shinker, Jacqueline J. "Visualizing Spatial Heterogeneity of Western U.S. Climate Variability." Earth Interactions 14, no. 10 (2010): 1–15. http://dx.doi.org/10.1175/2010ei323.1.

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Abstract Monthly climatologies (1971–2000 monthly averages) for stations in the western United States, obtained from the NOAA/National Climatic Data Center (NCDC), are used to illustrate the spatial variations in the annual cycle of climate. Animated map sequences of temperature and precipitation, their average, intermonthly changes, and the local timing of annual maxima or minima provide a comprehensive spatiotemporal baseline of regional climate. The animated maps illustrate three scales of variation: 1) broadscale patterns related to the annual cycle of insolation and hemispheric-scale atmo

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Tiessen, M. C. H., L. Fernard, T. Gerkema, J. van der Molen, P. Ruardij, and H. W. van der Veer. "Numerical modelling of physical processes governing larval transport in the southern North Sea." Ocean Science 10, no. 3 (2014): 357–76. http://dx.doi.org/10.5194/os-10-357-2014.

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Abstract. A three-dimensional hydrodynamic model (GETM) was coupled with a particle tracking routine (GITM) to study the inter-annual variability in transport paths of particles in the North Sea and English Channel. For validation, a comparison with observed drifter trajectories is also presented here. This research investigated to what extent variability in the hydrodynamic conditions alone (reflecting passive particle transport) contributed to inter-annual variability in the transport of eggs and larvae. In this idealised study, no a priori selection of specific spawning grounds or periods w

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Cornes, Richard C., Philip D. Jones, and Cheng Qian. "Twentieth-Century Trends in the Annual Cycle of Temperature across the Northern Hemisphere." Journal of Climate 30, no. 15 (2017): 5755–73. http://dx.doi.org/10.1175/jcli-d-16-0315.1.

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The annual cycle of surface air temperature is examined across Northern Hemisphere land areas (north of 25°N) by comparing the results from the Climatic Research Unit Time Series (CRU TS) dataset against four reanalysis datasets: two versions of the NOAA Twentieth Century Reanalysis (20CR and 20CRC) and two versions of the ECMWF Twentieth Century Reanalysis, version 2 (ERA-20C) and version 2c (ERA-20CM). The modulated annual cycle is adaptively derived from an ensemble empirical mode decomposition (EEMD) filter, and is used to define the phase and amplitude of the annual cycle. The EEMD method

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Tavares, Ailton M., Ricardo Conceição, Francisco M. Lopes, and Hugo G. Silva. "Effect of Solar Irradiation Inter-Annual Variability on PV and CSP Power Plants Production Capacity: Portugal Case-Study." Energies 17, no. 21 (2024): 5490. http://dx.doi.org/10.3390/en17215490.

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The sizing of solar energy power plants is usually made using typical meteorological years, which disregards the inter-annual variability of the solar resource. Nevertheless, such variability is crucial for the bankability of these projects because it impacts on the production goals set at the time of the supply agreement. For that reason, this study aims to fill the gap in the existing literature and analyse the impact that solar resource variability has on solar power plant production as applied to the case of Portugal (southern Europe). To that end, 17 years (2003–2019) of meteorological da

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Hansen, Winslow D., Naomi B. Schwartz, A. Park Williams, et al. "Global forests are influenced by the legacies of past inter-annual temperature variability." Environmental Research: Ecology 1, no. 1 (2022): 011001. http://dx.doi.org/10.1088/2752-664x/ac6e4a.

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Abstract Inter-annual climate variability (hereafter climate variability) is increasing in many forested regions due to climate change. This variability could have larger near-term impacts on forests than decadal shifts in mean climate, but how forests will respond remains poorly resolved, particularly at broad scales. Individual trees, and even forest communities, often have traits and ecological strategies—the legacies of exposure to past variable conditions—that confer tolerance to subsequent climate variability. However, whether local legacies also shape global forest responses is unknown.

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Fay, P. A., J. M. Blair, M. D. Smith, J. B. Nippert, J. D. Carlisle, and A. K. Knapp. "Relative effects of precipitation variability and warming on grassland ecosystem function." Biogeosciences Discussions 8, no. 4 (2011): 6859–900. http://dx.doi.org/10.5194/bgd-8-6859-2011.

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Abstract. Precipitation and temperature drive many aspects of terrestrial ecosystem function. Climate change scenarios predict increasing precipitation variability and temperature, and long term experiments are required to evaluate the ecosystem consequences of interannual climate variation, increased growing season (intra-annual) rainfall variability, and warming. We present results from an experiment applying increased growing season rainfall variability and year round warming in native perennial grassland. During ten years of study, total growing season rainfall varied 2-fold, and we found

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