Time Decomposition and Short-Term Forecasting of Hydrometeorological Conditions in the South Baltic Coastal Zone of Poland

This article presents an analysis of time-series for hydrometeorological conditions determining the behavior of the natural environment in the South Baltic coastal zone of Poland. The analysis is based on monthly data for average air temperature, total atmospheric precipitation, and average sea leve...

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Main Authors: Jacek Tylkowski, Marcin Hojan
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Geosciences
Subjects:
Online Access:https://www.mdpi.com/2076-3263/9/2/68
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spelling doaj-aac53486f6014bfe95dcf37b8b177f2a2020-11-25T01:33:49ZengMDPI AGGeosciences2076-32632019-01-01926810.3390/geosciences9020068geosciences9020068Time Decomposition and Short-Term Forecasting of Hydrometeorological Conditions in the South Baltic Coastal Zone of PolandJacek Tylkowski0Marcin Hojan1Institute of Geoecology and Geoinformation, Faculty of Geographical and Geological Sciences, Adam Mickiewicz University, Krygowski 10, 61-680 Poznań, PolandInstitute of Geography, Department of Landscape History Research, Kazimierz Wielki University, Kościeleckich Square 8, 85-033 Bydgoszcz, PolandThis article presents an analysis of time-series for hydrometeorological conditions determining the behavior of the natural environment in the South Baltic coastal zone of Poland. The analysis is based on monthly data for average air temperature, total atmospheric precipitation, and average sea level during the 50-year period from 1966&#8315;2015 for three coastal stations in Hel, Ustka, and Świnoujście. Time decomposition of these hydrometeorological conditions and formulation of short-term forecasts were carried out using ARIMA modelling. This study identifies the seasonal and non-seasonal parameters that determine both current and future hydrometeorological conditions. Moreover, it indicates the spatial differences among features of the analyzed time-series, estimated parameters of the selected models, and forecasts. The ARIMA models used for the Polish Baltic coastal zone are somewhat spatially homogenous. This is especially true of the models for average monthly air temperature, which are identical across the entire coastal zone (2,0,1)(2,1,0)<sub>12</sub>. Very similar are the models for average monthly sea level across the central and west coast (1,0,0)(1,1,0)<sub>12</sub>. The model for the east coast, however, was determined to be slightly different (2,0,2)(2,1,0)<sub>12</sub>. In contrast to those for air temperature and sea level, the models used for atmospheric precipitation were different for each site. Among the parameters modelled, the effect of AR(<i>p</i>) processes was greater than that of MA(<i>q</i>) processes. The monthly models for Ustka are an example of this: average air temperature (2,0,1)(2,1,0)<sub>12</sub>, atmospheric precipitation (0,0,3)(2,1,0)<sub>12</sub>, and average sea level (1,0,0)(1,1,0)<sub>12</sub>. Time decomposition of extreme hydrometeorological conditions has an important utilitarian significance. The climate of the Polish Baltic coastal zone is getting warmer, the sea level is rising, and the frequency of extreme hydrometeorological events is increasing. Time decomposition of hydrometeorological conditions based on monthly data did not reveal long-term trends. In the last half-century, hydrometeorological conditions have been conducive to erosion of coastal dunes and cliffs. These factors determine changes in the natural environment and limit the development potential of the coastal zone. The time decomposition, modelling, and forecasting of hydrometeorological conditions are thus very important for many areas of human activity, especially those related to management, protection, and development of the coast.https://www.mdpi.com/2076-3263/9/2/68ARIMA modeltime decompositionhydrometeorological conditionsSouth Baltic coast
collection DOAJ
language English
format Article
sources DOAJ
author Jacek Tylkowski
Marcin Hojan
spellingShingle Jacek Tylkowski
Marcin Hojan
Time Decomposition and Short-Term Forecasting of Hydrometeorological Conditions in the South Baltic Coastal Zone of Poland
Geosciences
ARIMA model
time decomposition
hydrometeorological conditions
South Baltic coast
author_facet Jacek Tylkowski
Marcin Hojan
author_sort Jacek Tylkowski
title Time Decomposition and Short-Term Forecasting of Hydrometeorological Conditions in the South Baltic Coastal Zone of Poland
title_short Time Decomposition and Short-Term Forecasting of Hydrometeorological Conditions in the South Baltic Coastal Zone of Poland
title_full Time Decomposition and Short-Term Forecasting of Hydrometeorological Conditions in the South Baltic Coastal Zone of Poland
title_fullStr Time Decomposition and Short-Term Forecasting of Hydrometeorological Conditions in the South Baltic Coastal Zone of Poland
title_full_unstemmed Time Decomposition and Short-Term Forecasting of Hydrometeorological Conditions in the South Baltic Coastal Zone of Poland
title_sort time decomposition and short-term forecasting of hydrometeorological conditions in the south baltic coastal zone of poland
publisher MDPI AG
series Geosciences
issn 2076-3263
publishDate 2019-01-01
description This article presents an analysis of time-series for hydrometeorological conditions determining the behavior of the natural environment in the South Baltic coastal zone of Poland. The analysis is based on monthly data for average air temperature, total atmospheric precipitation, and average sea level during the 50-year period from 1966&#8315;2015 for three coastal stations in Hel, Ustka, and Świnoujście. Time decomposition of these hydrometeorological conditions and formulation of short-term forecasts were carried out using ARIMA modelling. This study identifies the seasonal and non-seasonal parameters that determine both current and future hydrometeorological conditions. Moreover, it indicates the spatial differences among features of the analyzed time-series, estimated parameters of the selected models, and forecasts. The ARIMA models used for the Polish Baltic coastal zone are somewhat spatially homogenous. This is especially true of the models for average monthly air temperature, which are identical across the entire coastal zone (2,0,1)(2,1,0)<sub>12</sub>. Very similar are the models for average monthly sea level across the central and west coast (1,0,0)(1,1,0)<sub>12</sub>. The model for the east coast, however, was determined to be slightly different (2,0,2)(2,1,0)<sub>12</sub>. In contrast to those for air temperature and sea level, the models used for atmospheric precipitation were different for each site. Among the parameters modelled, the effect of AR(<i>p</i>) processes was greater than that of MA(<i>q</i>) processes. The monthly models for Ustka are an example of this: average air temperature (2,0,1)(2,1,0)<sub>12</sub>, atmospheric precipitation (0,0,3)(2,1,0)<sub>12</sub>, and average sea level (1,0,0)(1,1,0)<sub>12</sub>. Time decomposition of extreme hydrometeorological conditions has an important utilitarian significance. The climate of the Polish Baltic coastal zone is getting warmer, the sea level is rising, and the frequency of extreme hydrometeorological events is increasing. Time decomposition of hydrometeorological conditions based on monthly data did not reveal long-term trends. In the last half-century, hydrometeorological conditions have been conducive to erosion of coastal dunes and cliffs. These factors determine changes in the natural environment and limit the development potential of the coastal zone. The time decomposition, modelling, and forecasting of hydrometeorological conditions are thus very important for many areas of human activity, especially those related to management, protection, and development of the coast.
topic ARIMA model
time decomposition
hydrometeorological conditions
South Baltic coast
url https://www.mdpi.com/2076-3263/9/2/68
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