Relevant bibliographies by topics / Multiannual dataset

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Academic literature on the topic 'Multiannual dataset'

Author: Grafiati
Published: 13 April 2024
Last updated: 31 July 2025

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Journal articles on the topic "Multiannual dataset"

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Rust, William, John P. Bloomfield, Mark Cuthbert, Ron Corstanje, and Ian Holman. "The importance of non-stationary multiannual periodicities in the North Atlantic Oscillation index for forecasting water resource drought." Hydrology and Earth System Sciences 26, no. 9 (2022): 2449–67. http://dx.doi.org/10.5194/hess-26-2449-2022.

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Abstract. Drought forecasting and early warning systems for water resource extremes are increasingly important tools in water resource management in Europe where increased population density and climate change are expected to place greater pressures on water supply. In this context, the North Atlantic Oscillation (NAO) is often used to indicate future water resource behaviours (including droughts) over Europe, given its dominant control on winter rainfall totals in the North Atlantic region. Recent hydroclimate research has focused on the role of multiannual periodicities in the NAO in driving
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Guðmundsson, Kristinn, Mike R. Heath, and Elizabeth D. Clarke. "Average seasonal changes in chlorophyll a in Icelandic waters." ICES Journal of Marine Science 66, no. 10 (2009): 2133–40. http://dx.doi.org/10.1093/icesjms/fsp208.

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Abstract Guðmundsson, K., Heath, M. R., and Clarke, E. D. 2009. Average seasonal changes in chlorophyll a in Icelandic waters. – ICES Journal of Marine Science, 66: 2133–2140. The standard algorithms used to derive sea surface chlorophyll a concentration from remotely sensed ocean colour data are based almost entirely on the measurements of surface water samples collected in open sea (case 1) waters which cover ∼60% of the worlds oceans, where strong correlations between reflectance and chlorophyll concentration have been found. However, satellite chlorophyll data for waters outside the define
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Saviano, Simona, Anastasia Angela Biancardi, Marco Uttieri, et al. "Sea Storm Analysis: Evaluation of Multiannual Wave Parameters Retrieved from HF Radar and Wave Model." Remote Sensing 14, no. 7 (2022): 1696. http://dx.doi.org/10.3390/rs14071696.

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Intense atmospheric disturbances, which impact directly on the sea surface causing a significant increase in wave height and sometimes strong storm surges, have become increasingly frequent in recent years in the Mediterranean Sea, producing extreme concern in highly populated coastal areas, such as the Gulf of Naples (Western Mediterranean Sea, Central Tyrrhenian Sea). In this work, fifty-six months of wave parameters retrieved by an HF radar network are integrated with numerical outputs to analyze the seasonality of extreme events in the study area and to investigate the performance of HF ra
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Saviano, Simona, Anastasia Angela Biancardi, Florian Kokoszka, et al. "HF Radar Wind Direction: Multiannual Analysis Using Model and HF Network." Remote Sensing 15, no. 12 (2023): 2991. http://dx.doi.org/10.3390/rs15122991.

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HF radar systems have the potential to measure the wind direction, in addition to surface currents and wave fields. However, studies on HF radar for wind direction determination are rare in the scientific literature. Starting with the results presented in Saviano et al. (2021), we here expand on the reliability of the multiannual wind direction data retrieved over two periods, from May 2008 to December 2010 and from January to December 2012, by a network of three SeaSonde high-frequency (HF) radars operating in the Gulf of Naples (Central Tyrrhenian Sea, Western Mediterranean Sea). This study
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Pommier, C., C. Michotey, G. Cornut, et al. "Applying FAIR Principles to Plant Phenotypic Data Management in GnpIS." Plant Phenomics 2019 (April 30, 2019): 1–15. http://dx.doi.org/10.34133/2019/1671403.

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GnpIS is a data repository for plant phenomics that stores whole field and greenhouse experimental data including environment measures. It allows long-term access to datasets following the FAIR principles: Findable, Accessible, Interoperable, and Reusable, by using a flexible and original approach. It is based on a generic and ontology driven data model and an innovative software architecture that uncouples data integration, storage, and querying. It takes advantage of international standards including the Crop Ontology, MIAPPE, and the Breeding API. GnpIS allows handling data for a wide range
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Wu, Tonghua, Changwei Xie, Xiaofan Zhu, et al. "Permafrost, active layer, and meteorological data (2010–2020) at the Mahan Mountain relict permafrost site of northeastern Qinghai–Tibet Plateau." Earth System Science Data 14, no. 3 (2022): 1257–69. http://dx.doi.org/10.5194/essd-14-1257-2022.

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Abstract. Relict permafrost presents an ideal opportunity to understand the impacts of climatic warming on the ground thermal regime since it is characterized by a mean annual ground temperature close to 0 ∘C and relatively thin permafrost. The long-term and continuous observations of permafrost thermal state and climate background are of great importance to reveal the links between the energy balance on hourly to annual timescales, to evaluate the variations in permafrost thermal state over multiannual periods and to validate the remote sensing dataset. We present 11 years of meteorological a
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Kärenlampi, Petri P. "Disturbance effects on timberland returns." PLOS Sustainability and Transformation 3, no. 12 (2024): e0000146. https://doi.org/10.1371/journal.pstr.0000146.

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Probability theory is applied to the effect of severe disturbances on the return rate on capital within multiannual stands growing crops. Two management regimes are discussed, rotations of even-aged plants on the one hand, and uneven-aged semi-stationary state on the other. The effect of any disturbance appears two-fold, contributing to both earnings and capitalization. Results are illustrated using data from a recently published study, regarding spruce (Picea abies) forests in Austria. The economic results differ from those of the paper where the data is presented, here indicating continuous-
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Shahi, Sonika, Jakob Abermann, Georg Heinrich, Rainer Prinz, and Wolfgang Schöner. "Regional Variability and Trends of Temperature Inversions in Greenland." Journal of Climate 33, no. 21 (2020): 9391–407. http://dx.doi.org/10.1175/jcli-d-19-0962.1.

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AbstractStrong and thick temperature inversions are key components of the Arctic climate system and it is important to study and better understand them. The present study quantifies the temporal and spatial variability of surface-based inversions (SBIs) and elevated inversions (EIs) over Greenland, as derived from the ERA-Interim (ERA-I) dataset for the period 1979–2017. The seasonal and multiannual variability of inversion strength, thickness, and frequency are examined. Our results clearly show regional as well as seasonal patterns of both SBIs and EIs. SBIs are more frequent and stronger th
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DIMITROV, B. D., and E. S. BABAYEV. "Cyclic variations in the dynamics of flu incidence in Azerbaijan, 1976–2000." Epidemiology and Infection 143, no. 1 (2014): 13–22. http://dx.doi.org/10.1017/s095026881400048x.

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SUMMARYMulticomponent cyclicity in influenza (flu) incidence had been observed in various countries (e.g. periods T = 1, 2–3, 5–6, 8·0, 10·6–11·3, 13, 18–19 years) and its close similarity with cycles in natural environmental phenomena as meteorological factors and heliogeophysical activity (HGA) suggested. This report aimed at verifying previous results on cyclic patterns of flu incidence by exploring whether flu annual cyclicity (seasonality) and trans-year (13 to <24 months) and/or multiannual (long-term, ⩾24 months) cycles might be present. For this purpose, a relatively long monthly fl
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Chiriaco, Marjolaine, Jean-Charles Dupont, Sophie Bastin, et al. "ReOBS: a new approach to synthesize long-term multi-variable dataset and application to the SIRTA supersite." Earth System Science Data 10, no. 2 (2018): 919–40. http://dx.doi.org/10.5194/essd-10-919-2018.

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Abstract. A scientific approach is presented to aggregate and harmonize a set of 60 geophysical variables at hourly timescale over a decade, and to allow multiannual and multi-variable studies combining atmospheric dynamics and thermodynamics, radiation, clouds and aerosols from ground-based observations. Many datasets from ground-based observations are currently in use worldwide. They are very valuable because they contain complete and precise information due to their spatio-temporal co-localization over more than a decade. These datasets, in particular the synergy between different type of o
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Dissertations / Theses on the topic "Multiannual dataset"

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Audoux, Thomas. "Approches expérimentales pour l’étude et la caractérisation des dépôts humides d’aérosols atmosphériques par les précipitations." Electronic Thesis or Diss., Université Paris Cité, 2022. http://www.theses.fr/2022UNIP7332.

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Dans le cadre de mon travail de thèse, je me suis intéressé aux aérosols atmosphériques et à leur transfert de l’atmosphère vers les surfaces terrestres par les précipitations. La stratégie générale que j’ai suivie repose sur l’observation des dépôts humides sur différentes échelles de temps, interannuelle d’une part et intraévènementielle de l’autre. Elle repose aussi sur leur observation dans des environnements marqués en termes de charge et de composition en aérosols, mais aussi de dynamiques atmosphériques et de précipitations. Le fait de combiner des mesures à la fois sur la composition d
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