Long-term observed time series
Noctilucent clouds observed from the ground: sensitivity to mesospheric parameters and long term time series
... vapor long-term trend based on our brightness trend uncer- ...10-year time interval and would be clearly detected by current satellite measurements at mid-latitudes, but this is not the ...
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Indirect inference with time series observed with error
... the observed data and that obtained by simu- ...error term distribution and the structural ones. Hence, the simulated series used to match the auxiliary parameters must be contaminated by the ...as ...
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Effects of agri-environment schemes in a long-term ecological time series
... Robinson, R.A., Sutherland, W.J., 2002. Post-war changes in arable farming and biodiversity in Great Britain. J. Appl. Ecol. 39, 157-176. Rosenzweig, C., Casassa, G., Karoly, D.J., Imeson, A., Liu, C., Menzel, A., ...
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REAL LONG-TERM INTEREST RATES: THE EVIDENCE FROM POOLED-TIME-SERIES
... real long-term interest ...for long-term interest rates to react to both observed and expected changes in policy-controlled short-term ...of long-term ...of ...
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Investigation of Vegetation Dynamics using Long-Term NormalizedDifference Vegetation Index Time-Series
... CONCLUSION As already discussed, the actual meaning on the ground of greening has not yet been firmly established. Therefore, the observed greening trends may be interpreted as land degradation or improvement with ...
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Investigation of Vegetation Dynamics using Long-Term NormalizedDifference Vegetation Index Time-Series
... CONCLUSION As already discussed, the actual meaning on the ground of greening has not yet been firmly established. Therefore, the observed greening trends may be interpreted as land degradation or improvement with ...
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Oithona similis likes it cool: evidence from two long-term time series
... O. similis abundance and mortality Our results suggest that, although important for sustain- ing initial population increase, prey abundance was prob- ably not the main factor limiting the occurrence of O. similis after ...
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The applications of InSAR time series analysis for monitoring long-term surface change in peatlands
... was observed in Central Kalimantan, Indonesia (Dahdal, ...InSAR time series on mapping the spatial and temporal element of peat height change over different type of peatlands due to different ...
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A STUDY ON LONG TERM RAINFALL PATTERN OF DHUBRI AND GUWAHATI IN ASSAM, INDIA: A TIME SERIES APPROACH
... ¥ Corresponding Author Abstract: Understanding the rainfall pattern is tough for the solution of several regional environmental issues of water resources management, with implications for agriculture, climate change, and ...
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Elusive drought: uncertainty in observed trends and short and long term CMIP5 projections
... SPI time series and simulations from the 5th phase of the Coupled Model Intercomparison Project ...all time frames, generally impeding trend ...near term, internal climate variability is the ...
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Time series analysis of the long term hydrologic impacts of afforestation in the Águeda watershed of north central Portugal
... Abstract. The north-central region of Portugal has under- gone significant land cover change since the early 1900s, with large-scale replacement of natural vegetation types with plantation forests. This transition ...
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Comparison of parametric and non-parametric time-series analysis methods on a long-term meteorological data set
... Climate change is one of the serious problems that mankind should face in the 21st century. Even the IPCC report (2013), while itself not a scienti fi c publication, is based on more than 9,200 scienti fi c publications, ...
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Homogenization of long-term mass-balance time series
... of long-term mass-balance time series is important to provide bias-corrected mass-balance data for climate-change impact ...homogenize time series of compre- hensive mass-balance ...
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Phytoplankton traits from long-term oceanographic time-series
... variation in our estimates of the trait values within phytoplankton functional types, which 596. could be due to real physiological changes arising from acclimation to environmental 59[r] ...
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Wavelet Analysis on Stochastic Time Series A visual introduction with an examination of long term financial time series
... financial time series will be examined. First, artificial time series that were generated by including trends and disturbances into a random process and second, real world long ...
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Partially Observed Discrete-valued Time Series
... Partially Observed Discrete-valued Time Series (Recommended by ...of time series of counts is a rapidly developing ...integer-valued time series which cannot be ...
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Time series forecasting with long short-term memory neural networks
... V drugem poglavju je opisano, kaj ˇ casovne vrste so ter kako jih analizi- ramo. V tretjem poglavju smo se osredotoˇ cili na opis sorodnih del. Za tem smo v ˇ cetrtem poglavju opisali kl[r] ...
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Long Short Term Memory Networks for Anomaly Detection in Time Series
... As in [5], we use a predictor to model normal behaviour, and subsequently use the prediction errors to identify abnormal behaviour. (This is particularly helpful in real-world anomaly detection scenarios where instances ...
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INTEGRATION OF EXTRAPOLATION TECHNIQUE AND TIME SERIES STATISTICAL MODEL FOR LONG TERM FORECAST
... be a unanimous agreement that the non-linearity of this relationship has to be preserved in the model. 2. EXTRAPOLATION TECHNIQUE Extrapolation is the process of estimating, beyond the original observation range, the ...
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An observed 20-year time series of Agulhas leakage
... compute time series of leakage along the satel- lite tracks, and plot the annual averages ...detrended time series: ...the time series all have a small positive ...the ...
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