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Artykuły w czasopismach na temat „Statistical inversions”

Autor: Grafiati

Data publikacji: 21 września 2024

Data aktualizacji: 31 lipca 2025

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1

Nygård, Tiina, Teresa Valkonen, and Timo Vihma. "Antarctic Low-Tropospheric Humidity Inversions: 10-Yr Climatology." Journal of Climate 26, no. 14 (2013): 5205–19. http://dx.doi.org/10.1175/jcli-d-12-00446.1.

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Abstract Humidity inversions are nearly permanently present in the coastal Antarctic atmosphere. This is shown based on an investigation of statistical characteristics of humidity inversions at 11 Antarctic coastal stations using radiosonde data from the Integrated Global Radiosonde Archive (IGRA) from 2000 to 2009. The humidity inversion occurrence was highest in winter and spring, and high atmospheric pressure and cloud-free conditions generally increased the occurrence. A typical humidity inversion was less than 200 m deep and 0.2 g kg−1 strong, and a typical humidity profile contained seve

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Cáceres, Mario, Antonio Barbadilla, and Alfredo Ruiz. "Recombination Rate Predicts Inversion Size in Diptera." Genetics 153, no. 1 (1999): 251–59. http://dx.doi.org/10.1093/genetics/153.1.251.

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Abstract Most species of the Drosophila genus and other Diptera are polymorphic for paracentric inversions. A common observation is that successful inversions are of intermediate size. We test here the hypothesis that the selected property is the recombination length of inversions, not their physical length. If so, physical length of successful inversions should be negatively correlated with recombination rate across species. This prediction was tested by a comprehensive statistical analysis of inversion size and recombination map length in 12 Diptera species for which appropriate data are ava

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3

Ruiz, Alfredo, José María Ranz, Mario Cáceres, and Carmen Segarra. "Chromosomal evolution and comparative gene mapping in the Drosophila repleta species group." Brazilian Journal of Genetics 20, no. 4 (1997): 553–65. http://dx.doi.org/10.1590/s0100-84551997000400003.

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A review of our recent work on the cromosomal evolution of the Drosophila repleta species group is presented. Most studies have focused on the buzzatii species complex, a monophyletic set of 12 species which inhabit the deserts of South America and the West Indies. A statistical analysis of the length and breakpoint distribution of the 86 paracentric inversions observed in this complex has shown that inversion length is a selected trait. Rare inversions are usually small while evolutionary successful inversions, fixed and polymorphic, are predominantly of medium size. There is also a negative

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4

Chapman, Ross. "Inference of geoacoustic model parameters from acoustic field data: Perspectives on Geoacoustic Inversion." Journal of the Acoustical Society of America 155, no. 3_Supplement (2024): A216. http://dx.doi.org/10.1121/10.0027352.

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Estimation of parameters of geoacoustic models from acoustic field data has been a central research theme in acoustical oceanography and ocean acoustics. During the past several decades, highly efficient numerical inversion techniques have been developed that provide model parameter estimates and their uncertainties based on statistical inference methods. However, the methods are model-based and the inversions are prone to errors related to model mismatch. In any event, the inversions can generate only effective models of the true structure of the ocean bottom, which is generally highly variab

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5

Prado-Alonso, Carlos. "A comprehensive corpus-based analysis of “X Auxiliary Subject” constructions in written and spoken English." Topics in Linguistics 20, no. 2 (2019): 17–32. http://dx.doi.org/10.2478/topling-2019-0007.

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Abstract This paper describes a corpus-based analysis of subject-auxiliary inversion in both spoken and written English. The focus of the analysis is Chen’s (2013) X Auxiliary Subject construction (XASC), where X codes the fronting of a constituent which triggers the inversion of the auxiliary and the subject, as in “Never has trade union loyalty faced a more baffling test” or “What did he do?” On the basis of a statistical analysis using corpora of written and spoken English, it is argued that the distribution of XAS inversion, in the interrogative mood, is related to the degree of an address

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6

Devasthale, A., J. Sedlar, and M. Tjernström. "Characteristics of water-vapour inversions observed over the Arctic by Atmospheric Infrared Sounder (AIRS) and radiosondes." Atmospheric Chemistry and Physics Discussions 11, no. 5 (2011): 15801–29. http://dx.doi.org/10.5194/acpd-11-15801-2011.

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Abstract. An accurate characterization of the vertical structure of the Arctic atmosphere is useful in climate change and attribution studies as well as for the climate modelling community to improve projections of future climate over this highly sensitive region. Here, we investigate one of the dominant features of the vertical structure of the Arctic atmosphere, i.e. water-vapour inversions, using eight years of Atmospheric Infrared Sounder data (2002–2010) and radiosounding profiles released from the two Arctic locations (North Slope of Alaska at Barrow and during SHEBA). We quantify the ch

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7

Devasthale, A., J. Sedlar, and M. Tjernström. "Characteristics of water-vapour inversions observed over the Arctic by Atmospheric Infrared Sounder (AIRS) and radiosondes." Atmospheric Chemistry and Physics 11, no. 18 (2011): 9813–23. http://dx.doi.org/10.5194/acp-11-9813-2011.

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Abstract. An accurate characterization of the vertical structure of the Arctic atmosphere is useful in climate change and attribution studies as well as for the climate modelling community to improve projections of future climate over this highly sensitive region. Here, we investigate one of the dominant features of the vertical structure of the Arctic atmosphere, i.e. water-vapour inversions, using eight years of Atmospheric Infrared Sounder data (2002–2010) and radiosounding profiles released from the two Arctic locations (North Slope of Alaska at Barrow and during SHEBA). We quantify the ch

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8

Madrigal-Roca, Luis J., and John K. Kelly. "Are you with me? Co-occurrence tests from community ecology can identify positive and negative epistasis between inversions in Mimulus guttatus." PLOS One 20, no. 4 (2025): e0321253. https://doi.org/10.1371/journal.pone.0321253.

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Chromosomal inversions are structural genetic variants that can play a crucial role in adaptive evolution and speciation. Patterns of attraction and repulsion among unlinked inversions — whether they tend to be carried by the same or different individuals— can indicate how selection is acting on these polymorphisms. In this study, we compare analytical techniques using data from 64 inversions that segregate among 1373 F2 plants of the yellow monkeyflower Mimulus guttatus. Mendelian assortment provides a strong null hypothesis for χ2 contingency tests. Here, we show how co-occurrence metrics us

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9

Arenas, Conxita, Goran Zivanovic, and Francesc Mestres. "Chromosomal Thermal Index: a comprehensive way to integrate the thermal adaptation of Drosophila subobscura whole karyotype." Genome 61, no. 2 (2018): 73–78. http://dx.doi.org/10.1139/gen-2017-0124.

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Drosophila has demonstrated to be an excellent model to study the adaptation of organisms to global warming, with inversion chromosomal polymorphism having a key role in this adaptation. Here, we introduce a new index (Chromosomal Thermal Index or CTI) to quantify the thermal adaptation of a population according to its composition of “warm” and “cold” adapted inversions. This index is intuitive, has good statistical properties, and can be used to hypothesis on the effect of global warming on natural populations. We show the usefulness of CTI using data from European populations of D. subobscur

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10

Mitsuhata, Yuji, Toshihiro Uchida, and Hiroshi Amano. "2.5‐D inversion of frequency‐domain electromagnetic data generated by a grounded‐wire source." GEOPHYSICS 67, no. 6 (2002): 1753–68. http://dx.doi.org/10.1190/1.1527076.

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Interpretation of controlled‐source electromagnetic (CSEM) data is usually based on 1‐D inversions, whereas data of direct current (dc) resistivity and magnetotelluric (MT) measurements are commonly interpreted by 2‐D inversions. We have developed an algorithm to invert frequency‐Domain vertical magnetic data generated by a grounded‐wire source for a 2‐D model of the earth—a so‐called 2.5‐D inversion. To stabilize the inversion, we adopt a smoothness constraint for the model parameters and adjust the regularization parameter objectively using a statistical criterion. A test using synthetic dat

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11

Zhuravlev, R. V., E. A. Miller, A. K. Knyazev, N. A. Baranov, E. A. Lezina, and A. V. Troitsky. "Parameterization of a WRF Model Based on Microwave Measurements of Temperature Inversion Characteristics in PBL over Moscow City." Известия Российской академии наук. Физика атмосферы и океана 60, no. 1 (2024): 33–51. http://dx.doi.org/10.31857/s0002351524010047.

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In this work the WRF-ARW model was tested with several different combinations of physical parameterizations to assess the quality of temperature inversion parameter predictions over the Moscow city. The dynamic and statistical characteristics of temperature inversions have been calculated and analysed in selecting criteria for comparisons. The calculated of estimating of the dissipation conditions in dependence on the type of temperature inversions are presented. The data source was the results of temperature profiles measurements in a layer up to 1 km, obtained by the MTP-5 passive microwave

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12

Myers, Timothy A., and Joel R. Norris. "Observational Evidence That Enhanced Subsidence Reduces Subtropical Marine Boundary Layer Cloudiness." Journal of Climate 26, no. 19 (2013): 7507–24. http://dx.doi.org/10.1175/jcli-d-12-00736.1.

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Abstract Conventional wisdom suggests that subsidence favors the presence of marine stratus and stratocumulus because regions of enhanced boundary layer cloudiness are observed to climatologically co-occur with regions of enhanced subsidence. Here it is argued that the climatological positive correlation between subsidence and cloudiness is not the result of a direct physical mechanism connecting the two. Instead, it arises because enhanced subsidence is typically associated with stronger temperature inversions capping the marine boundary layer, and stronger temperature inversions favor greate

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13

Knibb, WR, and JSF Barker. "Polymorphic Inversion and Esterase Loci Complex on Chromosome 2 of Drosophila buzzatii II. Spatial Variation." Australian Journal of Biological Sciences 41, no. 2 (1988): 239. http://dx.doi.org/10.1071/bi9880239.

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The potential influence of linked inversions on allele frequency variation at the Est-l and Est-210ci among Australian populations of D. buzzatii was determined by statistical analyses of allele and inversion gametic frequencies. Most of the significant spatial and climatic associations found for all Est-l allele frequencies, and for one allele only of Est-2 (Est-2c+), were accounted for by their linkage disequilibria with the inversions, which covaried with environmental variables. Consistent with this result, the spatial and climatic associations for conditional Est-l and Est-2 allele freque

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14

Monteil, Guillaume, and Marko Scholze. "Regional CO<sub>2</sub> inversions with LUMIA, the Lund University Modular Inversion Algorithm, v1.0." Geoscientific Model Development 14, no. 6 (2021): 3383–406. http://dx.doi.org/10.5194/gmd-14-3383-2021.

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Abstract. Atmospheric inversions are used to derive constraints on the net sources and sinks of CO2 and other stable atmospheric tracers from their observed concentrations. The resolution and accuracy that the fluxes can be estimated with depends, among other factors, on the quality and density of the observational coverage, on the precision and accuracy of the transport model used by the inversion to relate fluxes to observations, and on the adaptation of the statistical approach to the problem studied. In recent years, there has been an increasing demand from stakeholders for inversions at h

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15

Transtrum, Mark K., Jay C. Spendlove, and Tracianne B. Neilsen. "Parameter reduction for environmental inversions in ocean acoustics." Journal of the Acoustical Society of America 154, no. 4_supplement (2023): A41. http://dx.doi.org/10.1121/10.0022734.

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Environmental inversions in ocean acoustics require the simultaneous estimation of many unknown parameters. Unfortunately, many environmental parameters are unidentifiable from available measurements. Recent work in statistical physics has developed tools for analyzing such models using information geometry. The Manifold Boundary Approximation (MBAM) systematically prunes unidentifiable parameters to produce an identifiable model that can be analyzed with traditional statistical methods. In this talk, we report on progress applying MBAM to underwater acoustics models forenvironmental inversion

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16

Theune, Ulrich, Ingrid Østgård Jensås, and Jo Eidsvik. "Analysis of prior models for a blocky inversion of seismic AVA data." GEOPHYSICS 75, no. 3 (2010): C25—C35. http://dx.doi.org/10.1190/1.3427538.

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Resolving thinner layers and focusing layer boundaries better in inverted seismic sections are important challenges in exploration and production seismology to better identify a potential drilling target. Many seismic inversion methods are based on a least-squares optimization approach that can intrinsically lead to unfocused transitions between adjacent layers. A Bayesian seismic amplitude variation with angle (AVA) inversion algorithm forms sharper boundaries between layers when enforcing sparseness in the vertical gradients of the inversion results. The underlying principle is similar to hi

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17

Taroudakis, Michael I. "Statistical Characterization of Acoustic Signals Using 1D Wavelet Transforms with Applications in Acoustical Oceanography." Journal of Theoretical and Computational Acoustics 26, no. 04 (2018): 1850047. http://dx.doi.org/10.1142/s2591728518500470.

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The paper summarizes the research carried out at the University of Crete and the Foundation for Research and Technology-HELLAS aiming at the statistical characterization of underwater acoustic signals and their subsequent use for geoacoustic inversions and applications in ocean acoustic tomography. In these applications, an acoustic signal recorded in the marine environment due to some source is used as the carrier of information on the physical parameters of the environment. Statistical characterization of acoustic signals is a pre-processing technique aiming at the definition of signal obser

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18

Pithan, Felix, and Thorsten Mauritsen. "Comments on “Current GCMs' Unrealistic Negative Feedback in the Arctic”." Journal of Climate 26, no. 19 (2013): 7783–88. http://dx.doi.org/10.1175/jcli-d-12-00331.1.

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Abstract In contrast to prior studies showing a positive lapse-rate feedback associated with the Arctic inversion, Boé et al. reported that strong present-day Arctic temperature inversions are associated with stronger negative longwave feedbacks and thus reduced Arctic amplification in the model ensemble from phase 3 of the Coupled Model Intercomparison Project (CMIP3). A permutation test reveals that the relation between longwave feedbacks and inversion strength is an artifact of statistical self-correlation and that shortwave feedbacks have a stronger correlation with intermodel spread. The

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19

Geruso, Michael, Dean Spears, and Ishaana Talesara. "Inversions in US Presidential Elections: 1836–2016." American Economic Journal: Applied Economics 14, no. 1 (2022): 327–57. http://dx.doi.org/10.1257/app.20200210.

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Inversions—in which the popular vote winner loses the election— have occurred in four US presidential races. We show that rather than being statistical flukes, inversions have been ex ante likely since the early 1800s. In elections yielding a popular vote margin within 1 point (one-eighth of presidential elections), about 40 percent will be inversions in expectation. We show this conditional probability is remarkably stable across historical periods—despite differences in which groups voted, which states existed, and which parties participated. Our findings imply that the United States has exp

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20

Mayfield, John A., and Gilberto J. Fochesatto. "The Layered Structure of the Winter Atmospheric Boundary Layer in the Interior of Alaska." Journal of Applied Meteorology and Climatology 52, no. 4 (2013): 953–73. http://dx.doi.org/10.1175/jamc-d-12-01.1.

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AbstractThe high-latitude winter atmospheric boundary layer of interior Alaska continually exhibits a complex layered structure as a result of extreme meteorological conditions. In this paper the occurrence of elevated inversions (EI), surface-based inversions (SBI), and stratified layers in the sub-Arctic from January 2000 to December 2009 is reported. This statistical analysis is based on radiosonde observation data from the Fairbanks National Weather Service station complemented by Winter Boundary Layer Experiment observations in the period 2010–11. This study found that SBIs occurred 64% o

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21

Swenson, Krister M., Yu Lin, Vaibhav Rajan, and Bernard M. E. Moret. "Hurdles and Sorting by Inversions: Combinatorial, Statistical, and Experimental Results." Journal of Computational Biology 16, no. 10 (2009): 1339–51. http://dx.doi.org/10.1089/cmb.2009.0156.

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Taroudakis, Michael, and Kostas Smaragdakis. "Statistical signal characterization in ocean acoustic tomography and geoacoustic inversions." Journal of the Acoustical Society of America 125, no. 4 (2009): 2730. http://dx.doi.org/10.1121/1.4784505.

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Fregoso, Emilia, and Luis A. Gallardo. "Cross-gradients joint 3D inversion with applications to gravity and magnetic data." GEOPHYSICS 74, no. 4 (2009): L31—L42. http://dx.doi.org/10.1190/1.3119263.

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We extend the cross-gradient methodology for joint inversion to three-dimensional environments and introduce a solution procedure based on a statistical formulation and equality constraints for structural similarity resemblance. We apply the proposed solution to the joint 3D inversion of gravity and magnetic data and gauge the advantages of this new formulation on test and field-data experiments. Combining singular-value decomposition (SVD) and other conventional regularizing constraints, we determine 3D distributions of the density and magnetization with enhanced structural similarity. The al

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24

Shamsipour, Pejman, Denis Marcotte, Michel Chouteau, Martine Rivest, and Abderrezak Bouchedda. "3D stochastic gravity inversion using nonstationary covariances." GEOPHYSICS 78, no. 2 (2013): G15—G24. http://dx.doi.org/10.1190/geo2012-0122.1.

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The flexibility of geostatistical inversions in geophysics is limited by the use of stationary covariances, which, implicitly and mostly for mathematical convenience, assumes statistical homogeneity of the studied field. For fields showing sharp contrasts due, for example, to faults or folds, an approach based on the use of nonstationary covariances for cokriging inversion was developed. The approach was tested on two synthetic cases and one real data set. Inversion results based on the nonstationary covariance were compared to the results from the stationary covariance for two synthetic model

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Berchet, A., I. Pison, F. Chevallier, et al. "Towards better error statistics for atmospheric inversions of methane surface fluxes." Atmospheric Chemistry and Physics 13, no. 14 (2013): 7115–32. http://dx.doi.org/10.5194/acp-13-7115-2013.

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Abstract. We adapt general statistical methods to estimate the optimal error covariance matrices in a regional inversion system inferring methane surface emissions from atmospheric concentrations. Using a minimal set of physical hypotheses on the patterns of errors, we compute a guess of the error statistics that is optimal in regard to objective statistical criteria for the specific inversion system. With this very general approach applied to a real-data case, we recover sources of errors in the observations and in the prior state of the system that are consistent with expert knowledge while

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Michalak, Anna M., Nina A. Randazzo, and Frédéric Chevallier. "Diagnostic methods for atmospheric inversions of long-lived greenhouse gases." Atmospheric Chemistry and Physics 17, no. 12 (2017): 7405–21. http://dx.doi.org/10.5194/acp-17-7405-2017.

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Abstract. The ability to predict the trajectory of climate change requires a clear understanding of the emissions and uptake (i.e., surface fluxes) of long-lived greenhouse gases (GHGs). Furthermore, the development of climate policies is driving a need to constrain the budgets of anthropogenic GHG emissions. Inverse problems that couple atmospheric observations of GHG concentrations with an atmospheric chemistry and transport model have increasingly been used to gain insights into surface fluxes. Given the inherent technical challenges associated with their solution, it is imperative that obj

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27

Chevallier, F. "On the statistical optimality of CO<sub>2</sub> atmospheric inversions assimilating CO<sub>2</sub> column retrievals." Atmospheric Chemistry and Physics 15, no. 19 (2015): 11133–45. http://dx.doi.org/10.5194/acp-15-11133-2015.

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Abstract. The extending archive of the Greenhouse Gases Observing Satellite (GOSAT) measurements (now covering about 6 years) allows increasingly robust statistics to be computed, that document the performance of the corresponding retrievals of the column-average dry air-mole fraction of CO2 (XCO2). Here, we demonstrate that atmospheric inversions cannot be rigorously optimal when assimilating current XCO2 retrievals, even with averaging kernels, in particular because retrievals and inversions use different assumption about prior uncertainty. We look for some practical evidence of this sub-opt

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28

Liu, Yinghui, Jeffrey R. Key, Axel Schweiger, and Jennifer Francis. "Characteristics of Satellite-Derived Clear-Sky Atmospheric Temperature Inversion Strength in the Arctic, 1980–96." Journal of Climate 19, no. 19 (2006): 4902–13. http://dx.doi.org/10.1175/jcli3915.1.

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Abstract The low-level atmospheric temperature inversion is a dominant feature of the Arctic atmosphere throughout most of the year. Meteorological stations that provide radiosonde data are sparsely distributed across the Arctic, and therefore provide little information on the spatial distribution of temperature inversions. Satellite-borne sensors provide an opportunity to fill the observational gap. In this study, a 17-yr time series, 1980–96, of clear-sky temperature inversion strength during the cold season is derived from High Resolution Infrared Radiation Sounder (HIRS) data using a two-c

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Berchet, A., I. Pison, F. Chevallier, et al. "Towards better error statistics for atmospheric inversions of methane surface fluxes." Atmospheric Chemistry and Physics Discussions 13, no. 2 (2013): 3735–82. http://dx.doi.org/10.5194/acpd-13-3735-2013.

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Abstract. In this study, we adapt general statistical methods to compute the optimal error covariance matrices in a regional inversion system inferring methane surface emissions from atmospheric concentrations. We optimally estimate the error statistics with a minimal set of physical hypotheses on the patterns of errors. With this very general approach applied within a real-data framework, we recover sources of errors in the observations and in the prior state of the system that are consistent with expert knowledge. By not assuming any specific error patterns, our results show the variability

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Killingbeck, Siobhan F., Adam D. Booth, Philip W. Livermore, C. Richard Bates, and Landis J. West. "Characterisation of subglacial water using a constrained transdimensional Bayesian transient electromagnetic inversion." Solid Earth 11, no. 1 (2020): 75–94. http://dx.doi.org/10.5194/se-11-75-2020.

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Abstract. Subglacial water modulates glacier-bed friction and therefore is of fundamental importance when characterising the dynamics of ice masses. The state of subglacial pore water, whether liquid or frozen, is associated with differences in electrical resistivity that span several orders of magnitude; hence, liquid water can be inferred from electrical resistivity depth profiles. Such profiles can be obtained from inversions of transient (time-domain) electromagnetic (TEM) soundings, but these are often non-unique. Here, we adapt an existing Bayesian transdimensional algorithm (Multimodal

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Cloyd, C. Bryan, Lillian F. Mills, and Connie D. Weaver. "Firm Valuation Effects of the Expatriation of U.S. Corporations to Tax-Haven Countries." Journal of the American Taxation Association 25, s-1 (2003): 87–109. http://dx.doi.org/10.2308/jata.2003.25.s-1.87.

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U.S. corporations that reorganize in tax-haven countries claim to save many millions of dollars in future U.S. corporate income taxes. However, because these “inversion” transactions may involve significant nontax costs, it is not obvious how they affect share value. We use Monte Carlo sampling to analyze the statistical significance of each inverting firm's abnormal returns around the date that it initially announced its intentions and board of director approval of an inversion transaction. We find that five of the 20 single-company expatriations in our analysis have significant negative anno

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Egger, Joseph, and Klaus-Peter Hoinka. "Potential Temperature and Potential Vorticity Inversion: Complementary Approaches." Journal of the Atmospheric Sciences 67, no. 12 (2010): 4001–16. http://dx.doi.org/10.1175/2010jas3532.1.

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Abstract Given the distribution of one atmospheric variable, that of nearly all others can be derived in balanced flow. In particular, potential vorticity inversion (PVI) selects potential vorticity (PV) to derive pressure, winds, and potential temperature θ. Potential temperature inversion (PTI) starts from available θ fields to derive pressure, winds, and PV. While PVI has been applied extensively, PTI has hardly been used as a research tool although the related technical steps are well known and simpler than those needed in PVI. Two idealized examples of PTI and PVI are compared. The 40-yr

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Geraldo, Issa Cherif. "Exact computation of the asymptotic variance matrix for a tuple of multinomial distributions with dependent parameters." Gulf Journal of Mathematics 15, no. 2 (2023): 117–32. http://dx.doi.org/10.56947/gjom.v15i2.1603.

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In this paper, we consider a statistical model consisting of an s-tuple of multinomial distributions whose parameters are dependent. This model is used in road safety to study the effect of a measure implemented on a set of s sites comprising a total of r accident severity levels and is depending on a parameter vector of 1+sr components under s equality constraints. The computation of the so important asymptotic variance matrix W requires some numerical matrix inversions which become very complicated for large values of s and r. To circumvent this difficulty, we use Schur complement for the ex

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Zhang, Dai-Ping, Wen-Bo Gu, Ali Esamdin, et al. "Characteristics of Surface Temperature Inversion at the Muztagh-Ata Site on the Pamir Plateau." Atmosphere 16, no. 8 (2025): 897. https://doi.org/10.3390/atmos16080897.

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In this paper, based on all the data from September 2021 to June 2024 collected by a 30 m meteorological tower and a differential image motion monitor (DIMM) at the Muztagh-Ata site located on the Pamir Plateau in western Xinjiang, China, we study the characteristics of the surface temperature inversion and its effect on astronomical seeing at the site. The results show the following: The temperature inversion at the Muztagh-Ata site is highly pronounced at night; it is typically distributed below a height of about 18 m; it weakens and disappears gradually after sunrise, while it forms gradual

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Escobar-Amado, Christian D., and Mohsen Badiey. "Effect of oceanographic fluctuations on geo-acoustic inversions and source localization using ships of opportunity." Journal of the Acoustical Society of America 155, no. 3_Supplement (2024): A89. http://dx.doi.org/10.1121/10.0026913.

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Several merchant ship-radiated noise events were recorded in two separate seabed characterization experiments in the New England Mudpatch region in 2017 (SBCEX17) and 2022 (SBCEX22). These shallow water acoustic experiments were conducted under different oceanographic conditions, resulting in fluctuations in sound propagation. Several statistical inference approaches are used to invert geo-acoustic parameters such as sound speed and density in a mud over sand sediment (See https://doi.org/10.1121/10.0008419). In this work, we explore the effect of sound speed profile fluctuations in the water

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Song, Yang, Rui Hu, Quan Liu, et al. "Comparison of Hydraulic Travel Time and Attenuation Inversions, Thermal Tracer Tomography and Geostatistical Inversion for Aquifer Characterization: A Numerical Study." Water 15, no. 13 (2023): 2401. http://dx.doi.org/10.3390/w15132401.

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For the characterization of heterogeneous aquifers, transient hydraulic tomography (THT) was proposed as a promising method to obtain the distribution of hydraulic parameters with satisfying spatial resolution using different approaches. These include hydraulic travel time, attenuation inversions, thermal tracer tomography, and geostatistical inversion with successive linear estimator (SLE). For the same hydrogeological test, different inversion methods tend to use different sub-data sets to obtain different hydraulic parameters. Up to now, however, few studies have focused on revealing the re

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Sfîcă, Lucian, Iulian Iordache, Pavel Ichim, et al. "The Influence of Weather Conditions and Local Climate on Particulate Matter (PM10) Concentration in Metropolitan Area of Iasi, Romania." Present Environment and Sustainable Development 12, no. 2 (2018): 47–69. http://dx.doi.org/10.2478/pesd-2018-0029.

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Abstract The aim of this study is to evaluate the role of the weather conditions and local climate on the temporal and spatial variability of particulate matters (PM 10) in Iași city which is facing major pollution problems in the recent years. Daily data from 4 monitoring stations of Environmental Protection Agency-Iași–for main weather parameters and particulate matters – and the temperature from an inner temperature and relative humidity observation network inside the city were used for a three year study (2013-2015). Linear correlation, composite analysis and multiple regression are the ma

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Wyatt, Lucy R., and J. J. Green. "Developments in Scope and Availability of HF Radar Wave Measurements and Robust Evaluation of Their Accuracy." Remote Sensing 15, no. 23 (2023): 5536. http://dx.doi.org/10.3390/rs15235536.

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HF radar systems form part of many operational coastal monitoring systems providing near-real-time surface currents for many useful applications. Although wave measurements have been possible with these systems for many years, they have not yet been adopted widely for operational monitoring because they have not been thought to be sufficiently accurate or reliable. However, the value of such data is beginning to be appreciated, and this is motivating more work on wave measurement with HF radar systems with many more papers on accuracy assessment and data availability appearing in the literatur

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Cheltsov, Vladislav. "Cooperative Quantum Phase Mixing Effect or Why the Continuous (He-Ne)-Laser Operates Without Inversion." Modern Physics Letters B 11, no. 28 (1997): 1215–29. http://dx.doi.org/10.1142/s0217984997001468.

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Cooperative phase mixing effect (CPME) in the system of N-two-level atoms coupled to one and two resonance modes is described. Caused by irrationality of cooperative energy eigenvalues the CPME leads to quasi-periodic dynamics giving rise to superposition of states with both positive and negative inversions, so that the averaged inversion should be close to zero. To check inversionless operation of the continuous (He-Ne)-laser the nonperturbative theory of beatings in a rotating ring laser (RGL) has been suggested. The derived formula for beating frequency displays two states: with split frequ

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Kaufman, Zachary S., and Nicole Feldl. "Causes of the Arctic’s Lower-Tropospheric Warming Structure." Journal of Climate 35, no. 6 (2022): 1983–2002. http://dx.doi.org/10.1175/jcli-d-21-0298.1.

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Abstract Arctic amplification has been attributed predominantly to a positive lapse rate feedback in winter, when boundary layer temperature inversions focus warming near the surface. Predicting high-latitude climate change effectively thus requires identifying the local and remote physical processes that set the Arctic’s vertical warming structure. In this study, we analyze output from the CESM Large Ensemble’s twenty-first-century climate change projection to diagnose the relative influence of two Arctic heating sources, local sea ice loss and remote changes in atmospheric heat transport. Ca

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Davison, Jennifer L., Robert M. Rauber, Larry Di Girolamo, and Margaret A. LeMone. "A Revised Conceptual Model of the Tropical Marine Boundary Layer. Part I: Statistical Characterization of the Variability Inherent in the Wintertime Trade Wind Regime over the Western Tropical Atlantic." Journal of the Atmospheric Sciences 70, no. 10 (2013): 3005–24. http://dx.doi.org/10.1175/jas-d-12-0321.1.

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Abstract This paper investigates wintertime tropical marine boundary layer (TMBL) statistical characteristics over the western North Atlantic using the complete set of island-launched soundings from the Rain in Cumulus over the Ocean (RICO) experiment. The soundings are subdivided into undisturbed and disturbed classifications using two discriminators: 1) dates chosen by Global Energy and Water Cycle Experiment (GEWEX) Cloud System Studies (GCSS) investigators to construct the mean RICO sounding and 2) daily average rain rates. A wide range of relative humidity (RH) values was observed between

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Sengupta, Madhumita, Houzhu Zhang, Yang Zhao, Mike Jervis, and Dario Grana. "Direct depth-domain Bayesian amplitude-variation-with-offset inversion." GEOPHYSICS 86, no. 5 (2021): M167—M176. http://dx.doi.org/10.1190/geo2020-0219.1.

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We have developed a new approach to perform Bayesian linearized amplitude-variation-with-offset (AVO) inversion in the depth domain using nonstationary wavelets. Bayesian linearized AVO inversion, a hybrid approach combining physics-based models with statistical learning, has gained immense popularity because of its superior computational speed and ability to estimate uncertainties in inverted model parameters. Bayesian linearized AVO inversion is performed on time-domain seismic data; therefore, depth-imaged seismic cannot be inverted directly using this method and would require depth-to-time

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Li, Liyong, and Hamdi A. Tchelepi. "Conditional Statistical Moment Equations for Dynamic Data Integration in Heterogeneous Reservoirs." SPE Reservoir Evaluation & Engineering 9, no. 03 (2006): 280–88. http://dx.doi.org/10.2118/92973-pa.

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Summary An inversion method for the integration of dynamic (pressure) data directly into statistical moment equations (SMEs) is presented. The method is demonstrated for incompressible flow in heterogeneous reservoirs. In addition to information about the mean, variance, and correlation structure of the permeability, few permeability measurements are assumed available. Moreover, few measurements of the dependent variable are available. The first two statistical moments of the dependent variable (pressure) are conditioned on all available information directly. An iterative inversion scheme is u

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Paasche, Hendrik, Jens Tronicke, Klaus Holliger, Alan G. Green, and Hansruedi Maurer. "Integration of diverse physical-property models: Subsurface zonation and petrophysical parameter estimation based on fuzzy c -means cluster analyses." GEOPHYSICS 71, no. 3 (2006): H33—H44. http://dx.doi.org/10.1190/1.2192927.

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Inversions of an individual geophysical data set can be highly nonunique, and it is generally difficult to determine petrophysical parameters from geophysical data. We show that both issues can be addressed by adopting a statistical multiparameter approach that requires the acquisition, processing, and separate inversion of two or more types of geophysical data. To combine information contained in the physical-property models that result from inverting the individual data sets and to estimate the spatial distribution of petrophysical parameters in regions where they are known at only a few loc

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Luque, Amalia, Alejandro Carrasco, Alejandro Martín, and Juan Ramón Lama. "Exploring Symmetry of Binary Classification Performance Metrics." Symmetry 11, no. 1 (2019): 47. http://dx.doi.org/10.3390/sym11010047.

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Selecting the proper performance metric constitutes a key issue for most classification problems in the field of machine learning. Although the specialized literature has addressed several topics regarding these metrics, their symmetries have yet to be systematically studied. This research focuses on ten metrics based on a binary confusion matrix and their symmetric behaviour is formally defined under all types of transformations. Through simulated experiments, which cover the full range of datasets and classification results, the symmetric behaviour of these metrics is explored by exposing th

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Flecha, I., R. Carbonell, and R. W. Hobbs. "Study on the limitations of traveltime inversion in the presence of extreme velocity anomalies." Solid Earth Discussions 5, no. 1 (2013): 189–226. http://dx.doi.org/10.5194/sed-5-189-2013.

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Abstract. The difficulties of seismic imaging beneath high velocity structures are widely recognised. In this setting, theoretical analysis of synthetic wide-angle seismic reflection data indicates that velocity models are not well constrained. A two-dimensional velocity model was built to simulate a simplified structural geometry given by a basaltic wedge placed within a sedimentary sequence. This model reproduces the geological setting in areas of special interest for the oil industry as the Faroe-Shetland Basin. A wide-angle synthetic dataset was calculated on this model using an elastic fi

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Flecha, I., R. Carbonell, and R. W. Hobbs. "Study on the limitations of travel-time inversion applied to sub-basalt imaging." Solid Earth 4, no. 2 (2013): 543–54. http://dx.doi.org/10.5194/se-4-543-2013.

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Abstract. The difficulties of seismic imaging beneath high velocity structures are widely recognised. In this setting, theoretical analysis of synthetic wide-angle seismic reflection data indicates that velocity models are not well constrained. A two-dimensional velocity model was built to simulate a simplified structural geometry given by a basaltic wedge placed within a sedimentary sequence. This model reproduces the geological setting in areas of special interest for the oil industry as the Faroe-Shetland Basin. A wide-angle synthetic dataset was calculated on this model using an elastic fi

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Dong, Wenbo, Yonggen Li, Zhixian Gui, and Lei Zhou. "Theory and Application of Geostatistical Inversion: A Facies-Constrained MCMC Algorithm." Processes 11, no. 5 (2023): 1335. http://dx.doi.org/10.3390/pr11051335.

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To improve the prediction of thin reservoirs with special geophysical responses, a geostatistical inversion technique is proposed based on an in-depth analysis of the theory of geostatistical inversion. This technique is based on the Markov chain Monte Carlo algorithm, to which we added the contents of facies-constrained. The feasibility of the technique and the reliability of the prediction results are demonstrated by a prediction of the sand bodies in the braided river channel bars in the Xiazijie Oilfield in the Junggar Basin. Based on the MCMC algorithm, the results show that leveraging th

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Sun, Jiajia, and Yaoguo Li. "Joint inversion of multiple geophysical data using guided fuzzy c-means clustering." GEOPHYSICS 81, no. 3 (2016): ID37—ID57. http://dx.doi.org/10.1190/geo2015-0457.1.

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Joint inversion of multiple geophysical data has become an active area of research due to its potential to greatly enhance the fidelity of inverted models. Many open questions and challenges still remain. One of them is how to effectively incorporate into joint inversion multimodal petrophysical information that describes the statistical behavior of physical property values in the parameter domain (i.e., in a crossplot). We have regarded the multimodal petrophysical data as different clusters in the parameter domain and developed an approach that handles multimodal petrophysical information th

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Goñi, B., E. S. de Vaio, M. Beltrami, et al. "Geographic patterns of chromosomal variation in populations of the grasshopper (Trimerotropis pallidipennis) from southern Argentina." Canadian Journal of Genetics and Cytology 27, no. 3 (1985): 259–71. http://dx.doi.org/10.1139/g85-039.

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Geographic variation has been studied on seven south Argentina populations of Trimerotropis pallidipennis polymorphic with respect to centromere position. Univariate and multivariate statistical analysis were used to assess interpopulation relationships by considering the inversion frequency, the chiasma frequency, and the population distance from the Andes, which is considered to be the hypothetical pathway of migration of this typically North American species to southern latitudes. A cluster analysis indicated strong chromosomal differentiation between the almost monomorphic populations in t

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