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Journal articles on the topic 'Temporal signatures'

Author: Grafiati

Published: 4 June 2021

Last updated: 7 February 2022

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1

Van Den Broeke, Matthew S., and Sabrina T. Jauernic. "Spatial and Temporal Characteristics of Polarimetric Tornadic Debris Signatures." Journal of Applied Meteorology and Climatology 53, no. 10 (2014): 2217–31. http://dx.doi.org/10.1175/jamc-d-14-0094.1.

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AbstractNonmeteorological scatter, including debris lofted by tornadoes, may be detected using the polarimetric radar variables. For the 17 months from January 2012 to May 2013, radar data were examined for each tornado reported in the domain of an operational polarimetric Weather Surveillance Radar-1988 Doppler (WSR-88D). Characteristics of the tornadic debris signature (TDS) were recorded when a signature was present. Approximately 16% of all tornadoes reported in Storm Data were associated with a debris signature, and this proportion is shown to vary regionally. Signatures were more frequen

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Ciepiela, Lindsy R., and Annika W. Walters. "Quantifying 87Sr/86Sr temporal stability and spatial heterogeneity for use in tracking fish movement." Canadian Journal of Fisheries and Aquatic Sciences 76, no. 6 (2019): 928–36. http://dx.doi.org/10.1139/cjfas-2018-0124.

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The specificity and accuracy of inferred fish origin and movement relies on describing spatial heterogeneity and temporal stability of environmental signatures. But the cost and logistics of sample collection often precludes the complete quantification of environmental signature temporal stability and spatial heterogeneity. We used repeated sampling and a novel approach (Bayesian ridge regression, BRR) to quantify the temporal stability and spatial heterogeneity of 87Sr/86Sr, respectively. We explained 86% of observed variation in 87Sr/86Sr using a BRR model and estimated 87Sr/86Sr throughout

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Ekimov, Alexander, Marshall Bradley, and James Sabatier. "Temporal analysis of human motion signatures." Journal of the Acoustical Society of America 126, no. 4 (2009): 2207. http://dx.doi.org/10.1121/1.3248689.

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Zhang, Shengchao, Liam J. Spoletini, Benjamin P. Gold, Victoria L. Morgan, Baxter P. Rogers, and Catie Chang. "Interindividual Signatures of fMRI Temporal Fluctuations." Cerebral Cortex 31, no. 10 (2021): 4450–63. http://dx.doi.org/10.1093/cercor/bhab099.

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Abstract The complexity and variability of human brain activity, such as quantified from Functional Magnetic Resonance Imaging (fMRI) time series, have been widely studied as potential markers of healthy and pathological states. However, the extent to which fMRI temporal features exhibit stable markers of inter-individual differences in brain function across healthy young adults is currently an open question. In this study, we draw upon two widely used time-series measures—a nonlinear complexity measure (sample entropy; SampEn) and a spectral measure of low-frequency content (fALFF)—to capture

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Yun, Hye-Won, Jung-Rack Kim, Yun-Soo Choi, and Shih-Yuan Lin. "Analyses of Time Series InSAR Signatures for Land Cover Classification: Case Studies over Dense Forestry Areas with L-Band SAR Images." Sensors 19, no. 12 (2019): 2830. http://dx.doi.org/10.3390/s19122830.

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As demonstrated in prior studies, InSAR holds great potential for land cover classification, especially considering its wide coverage and transparency to climatic conditions. In addition to features such as backscattering coefficient and phase coherence, the temporal migration in InSAR signatures provides information that is capable of discriminating types of land cover in target area. The exploitation of InSAR signatures was expected to provide merits to trace land cover change in extensive areas; however, the extraction of suitable features from InSAR signatures was a challenging task. Combi

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Westerberg, I. K., and H. K. McMillan. "Uncertainty in hydrological signatures." Hydrology and Earth System Sciences 19, no. 9 (2015): 3951–68. http://dx.doi.org/10.5194/hess-19-3951-2015.

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Abstract. Information about rainfall–runoff processes is essential for hydrological analyses, modelling and water-management applications. A hydrological, or diagnostic, signature quantifies such information from observed data as an index value. Signatures are widely used, e.g. for catchment classification, model calibration and change detection. Uncertainties in the observed data – including measurement inaccuracy and representativeness as well as errors relating to data management – propagate to the signature values and reduce their information content. Subjective choices in the calculation

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Westerberg, I. K., and H. K. McMillan. "Uncertainty in hydrological signatures." Hydrology and Earth System Sciences Discussions 12, no. 4 (2015): 4233–70. http://dx.doi.org/10.5194/hessd-12-4233-2015.

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Abstract. Information about rainfall–runoff processes is essential for hydrological analyses, modelling and water-management applications. A hydrological, or diagnostic, signature quantifies such information from observed data as an index value. Signatures are widely used, including for catchment classification, model calibration and change detection. Uncertainties in the observed data – including measurement inaccuracy and representativeness as well as errors relating to data management – propagate to the signature values and reduce their information content. Subjective choices in the calcula

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8

Jin, Wen, Anna C. Nobre, and Freek van Ede. "Temporal Expectations Prepare Visual Working Memory for Behavior." Journal of Cognitive Neuroscience 32, no. 12 (2020): 2320–32. http://dx.doi.org/10.1162/jocn_a_01626.

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Working memory enables us to retain past sensations in service of anticipated task demands. How we prepare for anticipated task demands during working memory retention remains poorly understood. Here, we focused on the role of time—asking how temporal expectations help prepare for ensuing memory-guided behavior. We manipulated the expected probe time in a delayed change-detection task and report that temporal expectation can have a profound influence on memory-guided behavioral performance. EEG measurements corroborated the utilization of temporal expectations: demonstrating the involvement of

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9

Seeger, Stefan, and Markus Weiler. "Temporal dynamics of tree xylem water isotopes: in situ monitoring and modeling." Biogeosciences 18, no. 15 (2021): 4603–27. http://dx.doi.org/10.5194/bg-18-4603-2021.

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Abstract. We developed a setup for a fully automated, high-frequency in situ monitoring system of the stable water isotope deuterium and 18O in soil water and tree xylem. The setup was tested for 12 weeks within an isotopic labeling experiment during a large artificial sprinkling experiment including three mature European beech (Fagus sylvatica) trees. Our setup allowed for one measurement every 12–20 min, enabling us to obtain about seven measurements per day for each of our 15 in situ probes in the soil and tree xylem. While the labeling induced an abrupt step pulse in the soil water isotopi

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10

Schaum, Nicholas, Benoit Lehallier, Oliver Hahn, et al. "Ageing hallmarks exhibit organ-specific temporal signatures." Nature 583, no. 7817 (2020): 596–602. http://dx.doi.org/10.1038/s41586-020-2499-y.

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11

Stephens, D. L., R. C. Runkle, D. K. Carlson, A. J. Peurrung, A. Seifert, and C. Wyatt. "Induced temporal signatures for point-source detection." IEEE Transactions on Nuclear Science 52, no. 5 (2005): 1712–15. http://dx.doi.org/10.1109/tns.2005.856905.

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12

Che-Alota, Vukenkeng, Estella A. Atekwana, Eliot A. Atekwana, William A. Sauck, and D. Dale Werkema. "Temporal geophysical signatures from contaminant-mass remediation." GEOPHYSICS 74, no. 4 (2009): B113—B123. http://dx.doi.org/10.1190/1.3139769.

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We have previously documented changes in bulk electrical conductivity, self-potential (SP), and ground-penetrating-radar (GPR) reflections in a field setting caused by biogeochemical transformations of hydrocarbon-contaminated media. These transformations are associated with hydrocarbon biodegradation. The results of surface geophysical surveys acquired in 1996, 2003, and 2007 document changes in geophysical signatures associated with removing hydrocarbon mass in the contaminated zone. Initial investigations in 1996 showed that relative to background, the contaminated area was characterized by

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13

Ming-guang, Ou Yang, and Zhou Yang-bo. "ISDTM: An intrusion signatures description temporal model." Wuhan University Journal of Natural Sciences 8, no. 2 (2003): 373–78. http://dx.doi.org/10.1007/bf02907214.

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14

Grings, F., P. Ferrazzoli, H. Karszenbaum, et al. "Modeling temporal evolution of junco marshes radar signatures." IEEE Transactions on Geoscience and Remote Sensing 43, no. 10 (2005): 2238–45. http://dx.doi.org/10.1109/tgrs.2005.855067.

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15

Morley, S. K., and M. Lockwood. "The dependence of cusp ion signatures on the reconnection rate." Annales Geophysicae 21, no. 4 (2003): 947–53. http://dx.doi.org/10.5194/angeo-21-947-2003.

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Abstract. The interpretation of structure in cusp ion dispersions is important for helping to understand the temporal and spatial structure of magnetopause reconnection. "Stepped" and "sawtooth" signatures have been shown to be caused by temporal variations in the reconnection rate under the same physical conditions for different satellite trajectories. The present paper shows that even for a single satellite path, a change in the amplitude of any reconnection pulses can alter the observed signature and even turn sawtooth into stepped forms and vice versa. On 20 August 1998, the Defense Meteor

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16

Wang, Zelong, Majd Abazid, Nesma Houmani, Sonia Garcia-Salicetti, and Anne-Sophie Rigaud. "Online Signature Analysis for Characterizing Early Stage Alzheimer’s Disease: A Feasibility Study." Entropy 21, no. 10 (2019): 956. http://dx.doi.org/10.3390/e21100956.

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We aimed to explore the online signature modality for characterizing early-stage Alzheimer’s disease (AD). A few studies have explored this modality, whereas many on online handwriting have been published. We focused on the analysis of raw temporal functions acquired by the digitizer on signatures produced during a simulated check-filling task. Sample entropy was exploited to measure the information content in raw time sequences. We show that signatures of early-stage AD patients have lower information content than those of healthy persons, especially in the time sequences of pen pressure and

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17

Ogle, D. H., G. R. Spangler, and S. M. Shroyer. "Determining Fish Age from Temporal Signatures in Growth Increments." Canadian Journal of Fisheries and Aquatic Sciences 51, no. 8 (1994): 1721–27. http://dx.doi.org/10.1139/f94-173.

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The temporal signature technique can be used to assign age to fish that show an incomplete or indistinct growth history at the margins of their scales. The temporal signature technique matches part of an individual's "environmental" growth history to characteristic patterns found in a master chronology that was developed from reliably aged specimens of a species in a particular environment. An error sum of squares measures the concordance between an individual's environmental growth history and the master chronology. Ages assigned to walleye (Stizostedion vitreum) by the temporal signature tec

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18

Van Duyl, Fleur C., Benjamin Mueller та Erik H. Meesters. "Spatio–temporal variation in stable isotope signatures (δ13C and δ15N) of sponges on the Saba Bank". PeerJ 6 (14 серпня 2018): e5460. http://dx.doi.org/10.7717/peerj.5460.

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Sponges are ubiquitous on coral reefs, mostly long lived and therefore adaptive to changing environmental conditions. They feed on organic matter withdrawn from the passing water and they may harbor microorganisms (endosymbionts), which contribute to their nutrition. Their diets and stable isotope (SI) fractionation determine the SI signature of the sponge holobiont. Little is known of spatio–temporal variations in SI signatures of δ13C and δ15N in tropical sponges and whether they reflect variations in the environment. We investigated the SI signatures of seven common sponge species with diff

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19

Petropoulou, M., and A. Mastichiadis. "Temporal signatures of leptohadronic feedback mechanisms in compact sources." Monthly Notices of the Royal Astronomical Society 421, no. 3 (2012): 2325–41. http://dx.doi.org/10.1111/j.1365-2966.2012.20460.x.

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20

Graham, D. M., C. Sun, and D. L. Hill. "Temporal Signatures of Taste Quality Driven by Active Sensing." Journal of Neuroscience 34, no. 22 (2014): 7398–411. http://dx.doi.org/10.1523/jneurosci.0213-14.2014.

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21

Schirmer, Annett, and Thomas C. Gunter. "Temporal signatures of processing voiceness and emotion in sound." Social Cognitive and Affective Neuroscience 12, no. 6 (2017): 902–9. http://dx.doi.org/10.1093/scan/nsx020.

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22

Indefrey, P., and W. J. M. Levelt. "The spatial and temporal signatures of word production components." Cognition 92, no. 1-2 (2004): 101–44. http://dx.doi.org/10.1016/j.cognition.2002.06.001.

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23

Mitrofanov, Igor G. "Average temporal signatures of GRBs: applications to theoretical models." Astrophysics and Space Science 231, no. 1-2 (1995): 103–10. http://dx.doi.org/10.1007/bf00658596.

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24

Damsma, Atser, Nadine Schlichting, and Hedderik van Rijn. "Temporal Context Actively Shapes EEG Signatures of Time Perception." Journal of Neuroscience 41, no. 20 (2021): 4514–23. http://dx.doi.org/10.1523/jneurosci.0628-20.2021.

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25

Chi, Junhwa, and Hyun-Cheol Kim. "FORECASTING ANTARCTIC SEA ICE CONCENTRATIONS USING RESULTS OF TEMPORAL MIXTURE ANALYSIS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 459–62. http://dx.doi.org/10.5194/isprsarchives-xli-b8-459-2016.

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Sea ice concentration (SIC) data acquired by passive microwave sensors at daily temporal frequencies over extended areas provide seasonal characteristics of sea ice dynamics and play a key role as an indicator of global climate trends; however, it is typically challenging to study long-term time series. Of the various advanced remote sensing techniques that address this issue, temporal mixture analysis (TMA) methods are often used to investigate the temporal characteristics of environmental factors, including SICs in the case of the present study. This study aims to forecast daily SICs for one

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Chi, Junhwa, and Hyun-Cheol Kim. "FORECASTING ANTARCTIC SEA ICE CONCENTRATIONS USING RESULTS OF TEMPORAL MIXTURE ANALYSIS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 459–62. http://dx.doi.org/10.5194/isprs-archives-xli-b8-459-2016.

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Sea ice concentration (SIC) data acquired by passive microwave sensors at daily temporal frequencies over extended areas provide seasonal characteristics of sea ice dynamics and play a key role as an indicator of global climate trends; however, it is typically challenging to study long-term time series. Of the various advanced remote sensing techniques that address this issue, temporal mixture analysis (TMA) methods are often used to investigate the temporal characteristics of environmental factors, including SICs in the case of the present study. This study aims to forecast daily SICs for one

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27

Chung, Kil Woo, Alexander Sutin, Alexander Sedunov, and Michael Bruno. "DEMON Acoustic Ship Signature Measurements in an Urban Harbor." Advances in Acoustics and Vibration 2011 (May 24, 2011): 1–13. http://dx.doi.org/10.1155/2011/952798.

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Detection, classification, and tracking of small vessels are important tasks for improving port security and the security of coastal and offshore operations. Hydroacoustic sensors can be applied for the detection of noise generated by vessels, and this noise can be used for vessel detection, classification, and tracking. This paper presents recent improvements aimed at the measurement and separation of ship DEMON (Detection of Envelope Modulation on Noise) DEMON acoustic signatures in busy harbor conditions. Ship signature measurements were conducted in the Hudson River and NY Harbor. The DEMO

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28

Kushner, Paul J., and Gabriel Lee. "Resolving the Regional Signature of the Annular Modes." Journal of Climate 20, no. 12 (2007): 2840–52. http://dx.doi.org/10.1175/jcli4106.1.

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Abstract A sector EOF analysis applied to the extratropical tropospheric circulation extracts robust circulation patterns that represent the regional signature of the annular modes. These regional patterns are eastward-propagating, long baroclinic wave structures with the dipolar meridional structure in the streamflow of the annular modes. The regional dipole patterns are also connected to the annular modes through their temporal correlation and their eddy flux signatures. These results serve to relate the hemispheric and the regional perspectives on the annular modes.

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Tighe, Patrick J., Paul Nickerson, Roger B. Fillingim, and Parisa Rashidi. "Characterizations of Temporal Postoperative Pain Signatures With Symbolic Aggregate Approximations." Clinical Journal of Pain 33, no. 1 (2017): 1–11. http://dx.doi.org/10.1097/ajp.0000000000000375.

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30

Derégnaucourt, Sébastien, Sigal Saar, and Manfred Gahr. "Melatonin affects the temporal pattern of vocal signatures in birds." Journal of Pineal Research 53, no. 3 (2012): 245–58. http://dx.doi.org/10.1111/j.1600-079x.2012.00993.x.

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31

Lange, Trent E., and Michael G. Dyer. "Parallel reasoning in structured connectionist networks: Signatures versus temporal synchrony." Behavioral and Brain Sciences 19, no. 2 (1996): 328–31. http://dx.doi.org/10.1017/s0140525x00042953.

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Shastri & Ajjanagadde (1993) (S&A) argue convincingly that both structured connectionist networks and parallel dynamic inferencing are necessary for reflexive reasoning - a kind of inferencing and reasoning that occurs rapidly, spontaneously, and without conscious effort, and which seems necessary for everyday tasks such as natural language understanding. As S&A describe, reflexive reasoning requires a solution to thedynamic binding problem, that is, how to encode systematic and abstract knowledge and instantiate it in specific situations to draw appropriate inferences. Although sy

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32

Herrmann, Björn, and Ingrid S. Johnsrude. "Neural Signatures of the Processing of Temporal Patterns in Sound." Journal of Neuroscience 38, no. 24 (2018): 5466–77. http://dx.doi.org/10.1523/jneurosci.0346-18.2018.

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33

Suzuki, A. "Memory Reconsolidation and Extinction Have Distinct Temporal and Biochemical Signatures." Journal of Neuroscience 24, no. 20 (2004): 4787–95. http://dx.doi.org/10.1523/jneurosci.5491-03.2004.

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34

Mastichiadis, A., R. J. Protheroe, and J. G. Kirk. "Spectral and temporal signatures of ultrarelativistic protons in compact sources." Astronomy & Astrophysics 433, no. 3 (2005): 765–76. http://dx.doi.org/10.1051/0004-6361:20042161.

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35

Voiculescu, M., and I. Usoskin. "Persistent solar signatures in cloud cover: spatial and temporal analysis." Environmental Research Letters 7, no. 4 (2012): 044004. http://dx.doi.org/10.1088/1748-9326/7/4/044004.

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36

Chen, Qing‐Lan, Lu Xia, Shao‐Ping Zhong, Qiang Wang, Jing Ding, and Xin Wang. "Bioinformatic analysis identifies key transcriptome signatures in temporal lobe epilepsy." CNS Neuroscience & Therapeutics 26, no. 12 (2020): 1266–77. http://dx.doi.org/10.1111/cns.13470.

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37

Kim, Hwan, and Sungsu Lim. "Temporal Patternization of Power Signatures for Appliance Classification in NILM." Energies 14, no. 10 (2021): 2931. http://dx.doi.org/10.3390/en14102931.

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Non-Intrusive Load Monitoring (NILM) techniques are effective for managing energy and for addressing imbalances between the energy demand and supply. Various studies based on deep learning have reported the classification of appliances from aggregated power signals. In this paper, we propose a novel approach called a temporal bar graph, which patternizes the operational status of the appliances and time in order to extract the inherent features from the aggregated power signals for efficient load identification. To verify the effectiveness of the proposed method, a temporal bar graph was appli

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38

Zhu, Weijun, Qinglei Zhou, Weidong Yang, and Haibin Zhang. "A Novel Algorithm for Intrusion Detection Based on RASL Model Checking." Mathematical Problems in Engineering 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/621203.

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The interval temporal logic (ITL) model checking (MC) technique enhances the power of intrusion detection systems (IDSs) to detect concurrent attacks due to the strong expressive power of ITL. However, an ITL formula suffers from difficulty in the description of the time constraints between different actions in the same attack. To address this problem, we formalize a novel real-time interval temporal logic—real-time attack signature logic (RASL). Based on such a new logic, we put forward a RASL model checking algorithm. Furthermore, we use RASL formulas to describe attack signatures and employ

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Pinnock, M., A. S. Rodger, J. R. Dudeney, F. Rich, and K. B. Baker. "High spatial and temporal resolution observations of the ionospheric cusp." Annales Geophysicae 13, no. 9 (1995): 919–25. http://dx.doi.org/10.1007/s00585-995-0919-9.

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Abstract. The Halley PACE HF radar has been operated in a new mode to provide very high time (10 s) and space (15 km) resolution measurements of the iono-spheric signatures of the cusp and the low-latitude boundary layer. The first data show that the iono-spheric signature of flux transfer events occur up to 300 km equatorward of regions showing the HF characteristics of the ionospheric cusp. Whilst larger flux transfer events are seen, on average, every 7 min, many much smaller and short-duration events have been identified. On one occasion DMSP data have been used to show that at least four

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GUO, JINHONG KATHERINE, DAVID DOERMANN, and AZRIEL ROSENFELD. "FORGERY DETECTION BY LOCAL CORRESPONDENCE." International Journal of Pattern Recognition and Artificial Intelligence 15, no. 04 (2001): 579–641. http://dx.doi.org/10.1142/s0218001401001088.

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Signatures may be stylish or unconventional and have many personal characteristics that are challenging to reproduce by anyone other than the original author. For this reason, signatures are used and accepted as proof of authorship or consent on personal checks, credit purchases and legal documents. Currently signatures are verified only informally in many environments, but the rapid development of computer technology has stimulated great interest in research on automated signature verification and forgery detection. In this paper, we focus on forgery detection of offline signatures. Although

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LAU, KAI KWONG, PONG CHI YUEN, and YUAN YAN TANG. "UNIVERSAL WRITING MODEL FOR RECOVERY OF WRITING SEQUENCE OF STATIC HANDWRITING IMAGES." International Journal of Pattern Recognition and Artificial Intelligence 19, no. 05 (2005): 603–30. http://dx.doi.org/10.1142/s0218001405004277.

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Online features have been proven to be more robust information for handwriting recognition than an offline static image due to dynamic aspects, such as the writing sequence of strokes. The estimation of temporal information from a static image becomes an important issue. This paper presents a new statistical method to reconstruct the writing order of a handwritten signature from a two-dimensional static image. The reconstruction process consists of two phases, namely the training phase and the testing phase. In the training phase, the writing order with other attributes, such as length and dir

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Bradshaw, E. G., and M. Lester. "SABRE observations of Pi2 pulsations: case studies." Annales Geophysicae 15, no. 1 (1997): 40–53. http://dx.doi.org/10.1007/s00585-997-0040-3.

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Abstract. The characteristics of substorm-associated Pi2 pulsations observed by the SABRE coherent radar system during three separate case studies are presented. The SABRE field of view is well positioned to observe the differences between the auroral zone pulsation signature and that observed at mid-latitudes. During the first case study the SABRE field of view is initially in the eastward electrojet, equatorward and to the west of the substorm-enhanced electrojet current. As the interval progresses, the western, upward field-aligned current of the substorm current wedge moves westward across

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Venkatesan, M., S. Pazhanivelan, and N. S. Sudarmanian. "MULTI-TEMPORAL FEATURE EXTRACTION FOR PRECISE MAIZE AREA MAPPING USING TIME-SERIES SENTINEL 1A SAR DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W6 (July 26, 2019): 169–73. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w6-169-2019.

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<p><strong>Abstract.</strong> A research study was conducted to map maize area in Ariyalur and Perambalur districts of Tamil Nadu, India using multi-temporal features extracted from time-series Sentinel 1A SAR data. Multi-temporal Sentinel 1A GRD data at VV and VH polarizations and SLC products were acquired for the study area at 12 days interval and processed using MAPscape-RICE software. Multi-temporal Sentinel 1A data was used to identify the backscattering dB curve of maize crop. Analysis of temporal signatures of the crop showed minimum values at sowing period and maximu

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Dresp-Langley, Birgitta, and Jean Durup. "A Plastic Temporal Brain Code for Conscious State Generation." Neural Plasticity 2009 (2009): 1–15. http://dx.doi.org/10.1155/2009/482696.

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Consciousness is known to be limited in processing capacity and often described in terms of a unique processing stream across a single dimension: time. In this paper, we discuss a purely temporal pattern code, functionally decoupled from spatial signals, for conscious state generation in the brain. Arguments in favour of such a code include Dehaene et al.'s long-distance reverberation postulate, Ramachandran's remapping hypothesis, evidence for a temporal coherence index and coincidence detectors, and Grossberg's Adaptive Resonance Theory. A time-bin resonance model is developed, where tempora

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West, Harry, Nevil Quinn, and Michael Horswell. "Spatio-Temporal Variability in North Atlantic Oscillation Monthly Rainfall Signatures in Great Britain." Atmosphere 12, no. 6 (2021): 763. http://dx.doi.org/10.3390/atmos12060763.

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The North Atlantic Oscillation (NAO) is the primary atmospheric-oceanic circulation/teleconnection influencing regional climate in Great Britain. As our ability to predict the NAO several months in advance increases, it is important that we improve our spatio-temporal understanding of the rainfall signatures that the circulation produces. We undertake a high resolution spatio-temporal analysis quantifying variability in rainfall response to the NAO across Great Britain. We analyse and map monthly NAO-rainfall response variability, revealing the spatial influence of the NAO on rainfall distribu

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Röckmann, T., J. Kaiser, and C. A. M. Brenninkmeijer. "The isotopic fingerprint of the pre-industrial and the anthropogenic N<sub>2</sub>O source." Atmospheric Chemistry and Physics Discussions 2, no. 6 (2002): 2021–43. http://dx.doi.org/10.5194/acpd-2-2021-2002.

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Abstract. We have performed high-precision measurements of the 18O and position dependent 15N isotopic composition of N2O from Antarctic firn air samples. By comparing these data to simulations carried out with a firn air diffusion model, we have reconstructed the temporal evolution of the N2O isotope signatures since pre-industrial times. The heavy isotope content of atmospheric N2O is presently decreasing for all signatures at rates of about -0.038%o yr -1 for 1d15N, -0.044%o yr -1 for 2d15N and -0.025%o yr -1 for d18O. The total decrease since pre-industrial times is estimated to be about -

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Röckmann, T., J. Kaiser, and C. A. M. Brenninkmeijer. "The isotopic fingerprint of the pre-industrial and the anthropogenic N<sub>2</sub>O source." Atmospheric Chemistry and Physics 3, no. 2 (2003): 315–23. http://dx.doi.org/10.5194/acp-3-315-2003.

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Abstract:

Abstract. We have performed high-precision measurements of the 18O and position dependent 15N isotopic composition of N2O from Antarctic firn air samples. By comparing these data to simulations carried out with a firn air diffusion model, we have reconstructed the temporal evolution of the N2O isotope signatures since pre-industrial times. The heavy isotope content of atmospheric N2O is presently decreasing for all signatures at rates of about -0.038 %o yr -1 for 1d15N, -0.046 %o yr -1 for 2d 15N and -0.025 %o yr -1 for d18O. The total decrease since pre-industrial times is estimated to be abo

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48

Partington, K. C. "Discrimination of glacier facies using multi-temporal SAR data." Journal of Glaciology 44, no. 146 (1998): 42–53. http://dx.doi.org/10.3189/s0022143000002331.

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AbstractGlacier facies from the Greenland ice sheet and the Wrangell-St Elias Mountains, Alaska, are analyzed using multi-temporal synthetic aperture radar (SAR) data from the European Space Agency ERS-1 satellite. Distinct zones and facies are visible in multi-temporal SAR data, including the dry-snow facies, the combined percolation and wet-snow facies, the ice facies, transient melt areas and moraine. In Greenland and south-central Alaska, very similar multi-temporal signatures are evident for the same facies, although these facies are found at lower altitude in West Greenland where the equ

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49

Partington, K. C. "Discrimination of glacier facies using multi-temporal SAR data." Journal of Glaciology 44, no. 146 (1998): 42–53. http://dx.doi.org/10.1017/s0022143000002331.

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Abstract:

AbstractGlacier facies from the Greenland ice sheet and the Wrangell-St Elias Mountains, Alaska, are analyzed using multi-temporal synthetic aperture radar (SAR) data from the European Space Agency ERS-1 satellite. Distinct zones and facies are visible in multi-temporal SAR data, including the dry-snow facies, the combined percolation and wet-snow facies, the ice facies, transient melt areas and moraine. In Greenland and south-central Alaska, very similar multi-temporal signatures are evident for the same facies, although these facies are found at lower altitude in West Greenland where the equ

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50

RUFFINI, REMO, FEDERICO FRASCHETTI, LUCA VITAGLIANO, and SHE-SHENG XUE. "OBSERVATIONAL SIGNATURES OF AN ELECTROMAGNETIC OVERCRITICAL GRAVITATIONAL COLLAPSE." International Journal of Modern Physics D 14, no. 01 (2005): 131–41. http://dx.doi.org/10.1142/s0218271805006146.

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We present theoretical predictions for the spectral, temporal and intensity signatures of the electromagnetic radiation emitted during the process of the gravitational collapse of a stellar core to a black hole, during which electromagnetic field strengths rise over the critical value for e+e- pair creation. The last phases of this gravitational collapse are studied, leading to the formation of a black hole with a subcritical electromagnetic field, likely with zero charge, and an outgoing pulse of initially optically thick e+e--photon plasma. Such a pulse reaches transparency at Lorentz gamma

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