scholarly journals Construction of forecasts based on additional data that affect the behavior of the time series

2019 ◽  
Vol 23 (0) ◽  
Author(s):  
T. H. Yemelyanenko
Keyword(s):  
Time Series ◽  
Additional Data

scholarly journals Antarctic volcanic flux ratios from Law Dome ice cores

2002 ◽  
Vol 35 ◽  
pp. 329-332 ◽  
Author(s):  
Anne S. Palmer ◽  
Vin I. Morgan ◽  
Mark A. J. Curran ◽  
Tas D. van Ommen ◽  
Paul A. Mayewski
Keyword(s):  
Time Series ◽  
Solar Radiation ◽  
Sulphuric Acid ◽  
Sulphur Dioxide ◽  
Additional Data ◽  
Ice Cores ◽  
Volcanic Eruptions ◽  
Sea Salt ◽  
Polar Ice ◽  
Explosive Volcanic Eruptions

AbstractExplosive volcanic eruptions can inject large quantities of sulphur dioxide into the stratosphere. the aerosols that result from oxidation of the sulphur dioxide can produce significant cooling of the troposphere by reflecting or absorbing solar radiation. It is possible to obtain an estimate of the relative stratospheric sulphur aerosol concentration produced by different volcanoes by comparing sulphuric acid fluxes determined by analysis of polar ice cores. Here,we use a non-sea-salt sulphate time series derived from three well-dated Law Dome ice cores to investigate sulphuric acid flux ratios for major eruptions over the period AD 1301–1995. We use additional data from other cores to investigate systematic spatial variability in the ratios. Only for the Kuwae eruption (Law Dome ice date AD 1459.5) was the H2SO4 flux larger than that deposited by Tambora (Law Dome ice date AD 1816.7).

scholarly journals BREIZHCROPS: A TIME SERIES DATASET FOR CROP TYPE MAPPING

2020 ◽  
Vol XLIII-B2-2020 ◽  
pp. 1545-1551
Author(s):  
M. Rußwurm ◽  
C. Pelletier ◽  
M. Zollner ◽  
S. Lefèvre ◽  
M. Körner
Keyword(s):  
Time Series ◽  
Supervised Classification ◽  
Deep Neural Networks ◽  
Additional Data ◽  
Type Mapping ◽  
North East ◽  
Time Series Dataset ◽  
Crop Type ◽  
Sentinel 2

Abstract. We present BreizhCrops, a novel benchmark dataset for the supervised classification of field crops from satellite time series. We aggregated label data and Sentinel-2 top-of-atmosphere as well as bottom-of-atmosphere time series in the region of Brittany (Breizh in local language), north-east France. We compare seven recently proposed deep neural networks along with a Random Forest baseline. The dataset, model (re-)implementations and pre-trained model weights are available at the associated GitHub repository (https://github.com/dl4sits/breizhcrops) that has been designed with applicability for practitioners in mind. We plan to maintain the repository with additional data and welcome contributions of novel methods to build a state-of-the-art benchmark on methods for crop type mapping.

scholarly journals METHODOLOGICAL FEATURES OF HEALTH RISK ASSESSMENT IN ACUTE INHALATION EFFECTS ON THE POPULATION

2019 ◽  
Vol 98 (1) ◽  
pp. 87-89
Author(s):  
V. A. Kislitsyn ◽  
Tatyana A. Shashina ◽  
N. S. Dodina
Keyword(s):  
Risk Assessment ◽  
Time Series ◽  
Additional Data ◽  
Hazard Index ◽  
Emission Rates ◽  
Relative Hazard ◽  
Reference Levels ◽  
Risk Indices ◽  
Plausible Values ◽  
Data Connection

Risk assessment of acute inhalation effects on the population has methodological features at all stages of the research. When choosing priority substances, a modification of the method for calculating the relative hazard index by the emission value (in g/sec) is proposed. To assess acute risk, 1-hour averaging of concentrations coinciding in duration with reference levels of acute inhalation effects (ARfC) is used. The use in modeling program of a maximum hourly emission value for each source results in an unreasonable overestimation of the values of 1-hour concentrations. The standard parameters of the emission sources from the report on permissible emissions ( PDV) do not provide the data for the mode of sources (on/off), the actual emission rates (g/sec) for each hour, and other parameters that specify the sources operation. Recommendations were developed for calculation of 1-hour concentrations close to real, in assessing the exposure, structure, and format of the additional data and a computer package for the data connection to AERMOD and ISCST3 models, as well as for the truncation of the time series of calculated 1-hour concentrations at 95-98th percentile. Features of the acute risk indices calculation - coefficients (AHQ) and indices (AHI) are described. Using the hourly values of the time series of concentrations the highest AHQ value is determined at each exposure point, which is used to estimate the level of acute risk from a substance. To calculate the hazard index (AHI) of the substances affecting the same critical organs/systems, the AHQ hourly values of individual substances are summarized at each exposure point, the highest AHI value is determined, which is used to assess the level of acute risk from exposure to substances with unidirectional action. The approbation of the described methodical approaches has shown their effectiveness in determining the values of exposures and risks close to real values. Their use has reduced the values of AHQ and AHI acute risk indices to "plausible" values by 2 and 3.7 times, respectively.

scholarly journals Annual Variation in Atmospheric 14C Between 1700 BC and 1480 BC

Radiocarbon ◽  
2020 ◽  
Vol 62 (4) ◽  
pp. 939-952 ◽  
Author(s):  
Charlotte Pearson ◽  
Lukas Wacker ◽  
Alex Bayliss ◽  
David Brown ◽  
Matthew Salzer ◽  
...  
Keyword(s):  
Time Series ◽  
Northern Ireland ◽  
Annual Variation ◽  
Additional Data ◽  
Eastern Mediterranean ◽  
Calibration Dataset ◽  
University Of Arizona ◽  
Pinus Longaeva ◽  
Bristlecone Pine ◽  
The University

ABSTRACTIn 2018 Pearson et al. published a new sequence of annual radiocarbon (14C) data derived from oak (Quercus sp.) trees from Northern Ireland and bristlecone pine (Pinus longaeva) from North America across the period 1700–1500 BC. The study indicated that the more highly resolved shape of an annually based calibration dataset could improve the accuracy of 14C calibration during this period. This finding had implications for the controversial dating of the eruption of Thera in the Eastern Mediterranean. To test for interlaboratory variation and improve the robustness of the annual dataset for calibration purposes, we have generated a replicate sequence from the same Irish oaks at ETH Zürich. These data are compatible with the Irish oak 14C dataset previously produced at the University of Arizona and are used (along with additional data) to examine inter-tree and interlaboratory variation in multiyear annual 14C time-series. The results raise questions about regional 14C offsets at different scales and demonstrate the potential of annually resolved 14C for refining subdecadal and larger scale features for calibration, solar reconstruction, and multiproxy synchronization.

scholarly journals Military expenditure and economic growth, 1960–2014

2016 ◽  
Vol 11 (2) ◽  
Author(s):  
J. Paul Dunne ◽  
Nan Tian
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Additional Data ◽  
Statistical Significance ◽  
Structural Break ◽  
Military Expenditure ◽  
Estimation Process ◽  
Extra Information ◽  
Negative Effect ◽  
Data Points

This article compares results of our 2015 study of the effect of military expenditure on economic growth, 1988–2010, with results using an additional 28 years of data provided in the newly revised and extended SIPRI dataset, 1960–2014. When the additional data points are added, we find no substantive differences and confirm the statistically significant negative effect of military expenditure on growth reported in our prior research. Using the same estimation process, there is no evidence of a structural break in the time series. Considering nonlinearity and heterogeneity, the estimates using the new data for ninety-seven countries are remarkably consistent with the earlier results and, overall, are very similar in sign and statistical significance, and many of the coefficients are larger (more adverse) than before. The new data provide valuable extra information and support for the original findings.

The LDE-Type Flare Occurrence (1969-1993)

1994 ◽  
Vol 144 ◽  
pp. 279-282
Author(s):  
A. Antalová
Keyword(s):  
Time Series ◽  
Fourier Analysis ◽  
Sunspot Cycle ◽  
List Type ◽  
Type Number ◽  
Solar Cycles ◽  
Type Iv ◽  
Long Duration ◽  
Cycle Maximum ◽  
Flare Index

AbstractThe occurrence of LDE-type flares in the last three cycles has been investigated. The Fourier analysis spectrum was calculated for the time series of the LDE-type flare occurrence during the 20-th, the 21-st and the rising part of the 22-nd cycle. LDE-type flares (Long Duration Events in SXR) are associated with the interplanetary protons (SEP and STIP as well), energized coronal archs and radio type IV emission. Generally, in all the cycles considered, LDE-type flares mainly originated during a 6-year interval of the respective cycle (2 years before and 4 years after the sunspot cycle maximum). The following significant periodicities were found:• in the 20-th cycle: 1.4, 2.1, 2.9, 4.0, 10.7 and 54.2 of month,• in the 21-st cycle: 1.2, 1.6, 2.8, 4.9, 7.8 and 44.5 of month,• in the 22-nd cycle, till March 1992: 1.4, 1.8, 2.4, 7.2, 8.7, 11.8 and 29.1 of month,• in all interval (1969-1992):a)the longer periodicities: 232.1, 121.1 (the dominant at 10.1 of year), 80.7, 61.9 and 25.6 of month,b)the shorter periodicities: 4.7, 5.0, 6.8, 7.9, 9.1, 15.8 and 20.4 of month.Fourier analysis of the LDE-type flare index (FI) yields significant peaks at 2.3 - 2.9 months and 4.2 - 4.9 months. These short periodicities correspond remarkably in the all three last solar cycles. The larger periodicities are different in respective cycles.

Time-series of economic data

1991 ◽  
pp. 300-305
Keyword(s):  
Time Series ◽  
Economic Data

Nonlinear Time Series Analysis

2003 ◽  
Author(s):  
Holger Kantz ◽  
Thomas Schreiber
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Nonlinear Time Series ◽  
Nonlinear Time Series Analysis ◽  
Series Analysis
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