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1. bin3C: exploiting Hi-C sequencing data to accurately resolve metagenome-assembled genomes

Author:
DeMaere, Matthew Z.; Darling, Aaron E.
Source:
Genome biology 2019 v.20 no.1 pp. 46
ISSN:
1474-760X
Subject:
time series analysis,   etc   ; algorithms; genome; metagenomics; microorganisms;     Show all 5 Subjects
Abstract:
... Most microbes cannot be easily cultured, and metagenomics provides a means to study them. Current techniques aim to resolve individual genomes from metagenomes, so-called metagenome-assembled genomes (MAGs). Leading approaches depend upon time series or transect studies, the efficacy of which is a function of community complexity, target abundance, and sequencing depth. We describe an unsupervised ...
DOI:
10.1186/s13059-019-1643-1

2. Visibility graphs of ground-level ozone time series: A multifractal analysis

Author:
Carmona-Cabezas, Rafael; Ariza-Villaverde, Ana B.; Gutiérrez de Ravé, Eduardo; Jiménez-Hornero, Francisco J.
Source:
The Science of the total environment 2019 v.661 pp. 138-147
ISSN:
0048-9697
Subject:
time series analysis,   etc   ; fractal dimensions; graphs; ozone;     Show all 4 Subjects
Abstract:
... A recent method based on the concurrence of complex networks and multifractal analyses is applied for the first time to explore ground-level ozone behavior. Ozone time series are converted into complex networks for their posterior analysis. The searched purpose is to check the suitability of this transformation and to see whether some features of these complex networks could constitute a prelimina ...
DOI:
10.1016/j.scitotenv.2019.01.147

3. Application of fractional order-based grey power model in water consumption prediction

Author:
Yuan, Yanbin; Zhao, Hao; Yuan, Xiaohui; Chen, Liya; Lei, Xiaohui
Source:
Environmental earth sciences 2019 v.78 no.8 pp. 266
ISSN:
1866-6280
Subject:
time series analysis,   etc   ; algorithms; models; prediction;     Show all 4 Subjects
Abstract:
... Water consumption has a typical characteristic sequence of randomness, fluctuation, and discreteness. A grey power model [GPM (1, 1) model] is a good prediction method for predicting urban water consumption. The traditional GPM (1, 1) model generates its grey sequence by a first-order accumulating generation operator (1-AGO) and gets the predicted results by a first-order inverse accumulating gene ...
DOI:
10.1007/s12665-019-8257-5

4. A hybrid forecasting system based on fuzzy time series and multi-objective optimization for wind speed forecasting

Author:
Jiang, Ping; Yang, Hufang; Heng, Jiani
Source:
Applied energy 2019 v.235 pp. 786-801
ISSN:
0306-2619
Subject:
time series analysis,   etc   ; models; wind speed;     Show all 3 Subjects
Abstract:
... Wind speed forecasting is fundamental to the dispatching, controllability, and stability of the power grid. As a challenging but essential work, wind speed forecasting has attracted significant attention from researchers and managers. However, traditional forecasting models sometimes fail to capture data features owing to the randomness and intermittency of wind speed, and the models always focus ...
DOI:
10.1016/j.apenergy.2018.11.012

5. Competition or complementarity ? The hydropower and thermal power nexus in China

Author:
Wang, Yongpei; Yan, Weilong; Zhuang, Shangwen; Zhang, Qian
Source:
Renewable energy 2019 v.138 pp. 531-541
ISSN:
0960-1481
Subject:
time series analysis,   etc   ; infrastructure; models; statistical analysis; water power; China;     Show all 6 Subjects
Abstract:
... Although hydropower and thermal power constitute the two pillars of China's power supply, the relationship between them has always been a controversial topic. Based on the panel data of China's provincial level covering the period 1991–2015, this paper tried to reveal the relationship between hydropower and thermal power under the framework of autoregressive distributive lag (ARDL) model. Taking t ...
DOI:
10.1016/j.renene.2019.01.130

6. A weak law for moments of pairwise stable networks

Author:
Leung, Michael P.
Source:
Journal of econometrics 2019 v.210 no.2 pp. 310-326
ISSN:
0304-4076
Subject:
time series analysis,   etc   ; econometric models; economic analysis; economic theory;     Show all 4 Subjects
Abstract:
... This paper studies the dependence structure of sparse networks realized according to a strategic model of network formation with homophilous agents. We argue that equilibrium selection and chains of indirect dependence generated by strategic interactions are the main drivers of network dependence. Drawing on results in random-graph theory, we derive weak-dependence conditions under which a law of ...
DOI:
10.1016/j.jeconom.2019.01.010

7. Synchronized generation of high-resolution gridded precipitation and temperature fields

Author:
Abbasnezhadi, Kian; Rousseau, Alain N.; Wruth, Andrea M.; Zahmatkesh, Zahra
Source:
Journal of hydrology 2019 v.573 pp. 631-647
ISSN:
0022-1694
Subject:
time series analysis,   etc   ; atmospheric precipitation; hydrologic models; temperature;     Show all 4 Subjects
Abstract:
... In this study, synchronized gridded precipitation and temperature generators were developed and evaluated in terms of their ability to reconstruct the spatial structure and other statistical properties of high-resolution CaPA (Canadian Precipitation Analysis) precipitation and GEM (Global Environmental Multiscale Model) temperature products. The precipitation generator is an extension to the gridd ...
DOI:
10.1016/j.jhydrol.2019.03.096

8. A Critique of the Space-for-Time Substitution Practice in Community Ecology

Author:
Damgaard, Christian
Source:
Trends in ecology & evolution 2019 v.34 no.5 pp. 416-421
ISSN:
0169-5347
Subject:
time series analysis,   etc   ; community ecology; data collection; spatial data;     Show all 4 Subjects
Abstract:
... The space-for-time substitution assumption is often used implicitly for studying ecological processes in static spatial data sets. Since ecological processes occur in time, this practice is problematic, especially in nonstationary environments. More processes might lead to the same spatial pattern, and instead of testing hypotheses on ecological processes by analyzing spatial variation in static d ...
DOI:
10.1016/j.tree.2019.01.013

9. Long-term memory and multifractality of downwelling longwave radiation flux at the Earth’s surface

Author:
Stathopoulos, V. K.; Matsoukas, C.
Source:
Climate dynamics 2019 v.52 no.9-10 pp. 5723-5738
ISSN:
0930-7575
Subject:
time series analysis,   etc   ; El Nino; climate; probability distribution; terrestrial radiation;     Show all 5 Subjects
Abstract:
... We study for the first time the correlation properties and the multifractality of downward longwave radiation (DLR) temporal fluctuations, using the multi-fractal detrended fluctuation analysis. Our DLR data are taken from 40 stations of the Baseline Surface Radiation Network and span more than 20 years on temporal resolutions of a few minutes. In almost all stations, two different scaling regions ...
DOI:
10.1007/s00382-018-4473-z

10. Design Considerations for Riverine Floods in a Changing Climate – A Review

Author:
François, B.; Schlef, K.E.; Wi, S.; Brown, C.M.
Source:
Journal of hydrology 2019
ISSN:
0022-1694
Subject:
time series analysis,   etc   ; climate change; floods; infrastructure; motivation; risk; uncertainty;     Show all 7 Subjects
Abstract:
... Conventional methods for designing infrastructure that is subject to flood risk, such as dams and levees, assume a stationary design flood. However, observed and potential non-stationarity in floods can result in costly over-design or dangerous under-design. Despite substantial attention, evidence from the literature makes clear there is no consensus methodology for estimating design variables und ...
DOI:
10.1016/j.jhydrol.2019.04.068

11. Intercomparison of two trapezoid-based soil moisture downscaling methods using three scaling factors

Author:
Tian, Jing; Deng, Xiangzheng; Su, Hongbo
Source:
International journal of digital earth 2019 v.12 no.4 pp. 485-499
ISSN:
1753-8955
Subject:
time series analysis,   etc   ; microwave radiometers; polarimetry; soil water; temperature; vegetation;     Show all 6 Subjects
Abstract:
... This paper compared two soil moisture downscaling methods using three scaling factors. Level 3 soil moisture product of advanced microwave scanning radiometer for EOS (AMSR-E) is downscaled from 25 to 1 km. The downscaled results are compared with the soil moisture observations from polarimetric scanning radiometer (PSR) microwave radiometer and field sampling. The results show that (1) the scalin ...
DOI:
10.1080/17538947.2018.1447031

12. Clustering methods to find representative periods for the optimization of energy systems: An initial framework and comparison

Author:
Teichgraeber, Holger; Brandt, Adam R.
Source:
Applied energy 2019 v.239 pp. 1283-1293
ISSN:
0306-2619
Subject:
time series analysis,   etc   ; batteries; energy; models; system optimization;     Show all 5 Subjects
Abstract:
... Modeling time-varying operations in complex energy systems optimization problems is often computationally intractable, and time-series input data are thus often aggregated to representative periods. In this work, we introduce a framework for using clustering methods for this purpose, and we compare both conventionally-used methods (k-means, k-medoids, and hierarchical clustering), and shape-based ...
DOI:
10.1016/j.apenergy.2019.02.012

13. An Assessment of Eddy-Covariance-Based Surface Fluxes Above an Evaporating Heated Surface Under Fair-Weather Daytime Conditions

Author:
Kang, Song-Lak
Source:
Boundary-layer meteorology 2019 v.171 no.1 pp. 79-99
ISSN:
0006-8314
Subject:
time series analysis,   etc   ; evaporation; heat; latitude; mixing ratio; spring; temperature;     Show all 7 Subjects
Abstract:
... Above an evaporating heated surface under fair-weather daytime conditions, the cospectra between the vertical velocity component, temperature, and water-vapour mixing ratio should be positive. We have applied a multi-resolution technique to a 3.64-h long, 10-Hz time series centred at midday for 16 fair-weather days at a mid-latitude site during spring to measure the averaging period τc at which th ...
DOI:
10.1007/s10546-018-0412-0

14. Approximate Bayesian computation with the Wasserstein distance

Author:
Bernton, Espen; Jacob, Pierre E.; Gerber, Mathieu; Robert, Christian P.
Source:
Journal of the Royal Statistical Society 2019 v.81 no.2 pp. 235-269
ISSN:
1369-7412
Subject:
time series analysis,   etc   ; Bayesian theory; data collection; equations; statistical models;     Show all 5 Subjects
Abstract:
... A growing number of generative statistical models do not permit the numerical evaluation of their likelihood functions. Approximate Bayesian computation has become a popular approach to overcome this issue, in which one simulates synthetic data sets given parameters and compares summaries of these data sets with the corresponding observed values. We propose to avoid the use of summaries and the en ...
DOI:
10.1111/rssb.12312

15. Generalised Pareto distribution: impact of rounding on parameter estimation

Author:
Pasarić, Z.; Cindrić, K.
Source:
Theoretical and applied climatology 2019 v.136 no.1-2 pp. 417-427
ISSN:
0177-798X
Subject:
time series analysis,   etc   ; data collection; recipes; statistical analysis;     Show all 4 Subjects
Abstract:
... Problems that occur when common methods (e.g. maximum likelihood and L-moments) for fitting a generalised Pareto (GP) distribution are applied to discrete (rounded) data sets are revealed by analysing the real, dry spell duration series. The analysis is subsequently performed on generalised Pareto time series obtained by systematic Monte Carlo (MC) simulations. The solution depends on the followin ...
DOI:
10.1007/s00704-018-2494-5

16. Unidirectional trends in annual and seasonal climate and extremes in Egypt

Author:
Nashwan, Mohamed Salem; Shahid, Shamsuddin; Abd Rahim, Norhan
Source:
Theoretical and applied climatology 2019 v.136 no.1-2 pp. 457-473
ISSN:
0177-798X
Subject:
time series analysis,   etc   ; autocorrelation; climate; cold; rain; temperature; winter; Egypt;     Show all 8 Subjects
Abstract:
... The presence of short- and long-term autocorrelations can lead to considerable change in significance of trend in hydro-climatic time series. Therefore, past findings of climatic trend studies that did not consider autocorrelations became a questionable issue. The spatial patterns in the trends of annual and seasonal temperature, rainfall, and related extremes in Egypt have been assessed in this p ...
DOI:
10.1007/s00704-018-2498-1

17. Short-term scenario-based probabilistic load forecasting: A data-driven approach

Author:
Khoshrou, Abdolrahman; Pauwels, Eric J.
Source:
Applied energy 2019 v.238 pp. 1258-1268
ISSN:
0306-2619
Subject:
time series analysis,   etc   ; case studies; energy; models; temperature;     Show all 5 Subjects
Abstract:
... Scenario-based probabilistic forecasting models have been explored extensively in the literature in recent years. The performance of such models evidently depends to a large extent on how different input (temperature) scenarios are being generated. This paper proposes a generic framework for probabilistic load forecasting using an ensemble of regression trees. A major distinction of the current wo ...
DOI:
10.1016/j.apenergy.2019.01.155

18. A hybrid model for modelling the salinity of the Tafna River in Algeria

Author:
Houari, Khemissi; Hartani, Tarik; Remini, Boualem; Lefkir, Abdelouhab; Abda, Leila; Heddam, Salim
Source:
Journal of water and land development 2019 v.40 no.1 pp. 127-135
ISSN:
2083-4535
Subject:
time series analysis,   etc   ; liquids; models; prediction; rivers; salinity; Algeria;     Show all 7 Subjects
Abstract:
... In this paper, the capacity of an Adaptive-Network-Based Fuzzy Inference System (ANFIS) for predicting salinity of the Tafna River is investigated. Time series data of daily liquid flow and saline concentrations from the gauging station of Pierre du Chat (160801) were used for training, validation and testing the hybrid model. Different methods were used to test the accuracy of our results, i.e. c ...
DOI:
10.2478/jwld-2019-0014

19. Statistical assessment of rainfall variability and trends in northeastern Algeria

Author:
Merniz, Noureddine; Tahar, Ali; Benmehaia, Amine M.
Source:
Journal of water and land development 2019 v.40 no.1 pp. 87-96
ISSN:
2083-4535
Subject:
time series analysis,   etc   ; agroecology; climate change; rain; statistical analysis; Algeria;     Show all 6 Subjects
Abstract:
... In the present study, time series for annual, monthly rainfall and number of rainy days per year were analysed to quantify spatial variability and temporal trends for 22 rainfall stations distributed in northeastern Algeria for the period 1978–2010. The Mann–Kendall test and the Sen’s slope estimator were applied to assess the significance and magnitude of the trend. The results showed that precip ...
DOI:
10.2478/jwld-2019-0009

20. Fuzzy time series for real-time flood forecasting

Author:
Chen, Chang-Shian; Jhong, You-Da; Wu, Wan-Zhen; Chen, Shien-Tsung
Source:
Stochastic environmental research and risk assessment 2019 v.33 no.3 pp. 645-656
ISSN:
1436-3240
Subject:
time series analysis,   etc   ; hydrology; model validation; models; rivers; typhoons; Taiwan;     Show all 7 Subjects
Abstract:
... This study applied fuzzy time series (FTS) analysis to develop a real-time flood forecasting model to forecast typhoon flood discharges. Two crucial factors that influence the performance of FTS are the partition of intervals of the variable and the defuzzification method. This study examined the effects of various interval lengths and two defuzzification methods, the centroid and the midpoint met ...
DOI:
10.1007/s00477-019-01652-8