Научная статья на тему 'Global warming inputs in local climate changes of the Kherson region: current state and forecast of the air temperature'

Global warming inputs in local climate changes of the Kherson region: current state and forecast of the air temperature Текст научной статьи по специальности «Науки о Земле и смежные экологические науки»

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Ключевые слова
global warming / climate change / air temperature / Holt-Winters triple exponential smoothing / forecast

Аннотация научной статьи по наукам о Земле и смежным экологическим наукам, автор научной работы — P.V. Lykhovyd

The study is devoted to the global warming impact on the local climate in the Kherson region of Ukraine. Results of the study prove great impact of the global climate changes on the local climate conditions, especially, air temperature. Air temperature raise during the last years is considered to be the valuable factor of the global ecosystems changes. The short-term forecast of the air temperature by using the triple exponential smoothing Holt-Winters model showed a clear tendency to significant climate warming in the Kherson region till 2025. Average annual air temperature in 2025 probably would rise to +12.2°C, mainly at the expense of warming of the summer period. Climate changes will inevitably cause gradual changes in ecosystems of the different levels and impact greatly on human beings.

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Текст научной работы на тему «Global warming inputs in local climate changes of the Kherson region: current state and forecast of the air temperature»

Ukrainian Journal of Ecology

Ukrainian Journal ofEcology, 2018, 8(2), 39-41 doi: 10.15421/2018_307

ORIGINAL ARTICLE

UDC 551.583

Global warming inputs in local climate changes of the Kherson region: current state and forecast

of the air temperature

P.V. Lykhovyd

Institute of Irrigated Agriculture of the National Academy of Agrarian Sciences of

Ukraine

Naddniprianske, Kherson, 73483. E-mail: [email protected] ORCID: http://orcid.org/0000-0002-0314-7644 Received: 14.02.2018. Accepted: 27.03.2018

The study is devoted to the global warming impact on the local climate in the Kherson region of Ukraine. Results of the study prove great impact of the global climate changes on the local climate conditions, especially, air temperature. Air temperature raise during the last years is considered to be the valuable factor of the global ecosystems changes. The short-term forecast of the air temperature by using the triple exponential smoothing Holt-Winters model showed a clear tendency to significant climate warming in the Kherson region till 2025. Average annual air temperature in 2025 probably would rise to +12.2°C, mainly at the expense of warming of the summer period. Climate changes will inevitably cause gradual changes in ecosystems of the different levels and impact greatly on human beings.

Key words: global warming, climate change, air temperature, Holt-Winters triple exponential smoothing, forecast.

Introduction

Global warming is an indisputable fact. It is projected that global average temperature will have been increased between 1.4 and 5.8°C till the end of this century (Patz et al., 2005). It is mentioned that the summer of 2003 was the hottest summer in Europe for the last 500 years: the average temperature was 3.5°C higher than normal (Schar et al., 2004). Human activities are supposed to be one of the main reasons of global warming (Kaur et al., 2017). Climate changes have great impact on all the biota, viz. microorganisms, plants, animals, humanity, etc. (Adams et al., 1998). There is no any biotic system on our planet which doesn't fall under the impact of climate changes. However, a few scientific researches have proved that climate changes perceptions of people depend on their beliefs in global warming (Howe and Leiserowitz, 2013). The goal of this study was to determine whether global warming had a considerable effect on the local climate conditions of the Kherson region of Ukraine during the period from 2010 to 2017, especially, on the air temperature. Also, the climate forecast for the nearest future (till 2025) was made.

Materials and methods

To estimate an impact of global warming on the local climate conditions a comparison of the long-term meteorological data with the data of the studied period was conducted. The main comparison criterion was an average annual air temperature. The data used in comparison had been got from the Kherson hydro meteorological station (latitude 46°38'24"N, longitude 32°36'52"E, altitude 41 m) by using the stationary high-precision thermometers. The forecast was made by the means LibreOffice Calc 6.0 software application. Forecast was conducted by the triple exponential smoothing method of Holt-Winters (Hyndman et al., 2008), which is the most suitable for prediction of seasonal phenomena (Lewis, 1982; Billah et al., 2006; Gardner, 2006; Gelper et al., 2010; De Livera et al., 2011).

Ukrainian Journal of Ecology 40

y y y £ R

The time line with accordance to the method is presented as: 1, ... , ' , ' . The task of the time line seasonal forecasting is as follows (formula 1 -4):

yt+d= at (Tt)d Ot+(dmods)- s

y,

a=a„-^—+(1- a)a_ , t

i- s

't~ai 'C1 ai)at -1T t-1

(2)

a,

T t= + (1- a3) Tt - 1

a'- 1 (3)

y

Of = a2y +(1-a2)Of _ s

a, (4)

■ h a where s - seasonality, £,s- 1 - season profile, - trend parameter, f - forecast parameter without influence of the

trend and seasonality.

Results and discussion

It was established that the average annual air temperature during the last years had significantly rose comparatively to the long-term criterion value: from 0.6°C in 2011 to 1,9°C in 2010, 2012, 2013, 2015 and 2017 (Table 1).

Table 1. Air temperature values during the studied period (2010-2017) and forecasted ones for the period from 2018 to 2025

Year January February March April May June luly August September October November December Average/Sum

Air bem pe ra ture (true val ue :). "C

201D 4 2 3.4 10.7 17J& 22.5 24.7 26.1 17." 7.3 10.5 1.6 11.7

2011 2.7 ■3.3 2.5 9.7 16.9 213 24.7 22.3 1HJ 9.5 3.3 10.4

2012 1.7 7.3 2.6 132 20J3 Ï3_3 2fc.5 23.7 19.1 14.6 t.fc ■0.9 11.7

2013 ■0.3 ' 1 3.1 ■2 2D.7 23 23.1 24 2 15.1 9.3 7.4 OJ 11.7

2014 1.5 D 6.9 11.5 IS I0.fi 25 24.5 1E.3 9.2 3.: ■0.2 11.3

2015 ■0.2 DJ 5.1 9.3 17 ■0.9 23.4 24.1 ■0.9 9.4 7.3 2.2 11.7

2016 ■3.6 4 63 12.7 16.2 22.* 24.4 24.É IS S.4 4 ■1.2 11.3

2017 ■4.7 ■0.7 7 9.3 16 J 22 23.4 2i4 19.9 11.3 5.4 5.9 11.7

Air

temseratire ¡forecasted values}. "C

2013 1.3 2JB 10.4 10.fi 15.9 J 9.7 24.3 26.fi 2D.0 3.5 J .5 D.3 11.3

2019 ■3.4 1.7 9.4 fi.3 12.7 J 9_I 23.3 24.3 21JS 3.1 1.2 2.7 10.6

2020 2.4 1.3 9.5 Iii 16.6 :i_z 25.1 25 £ 22.5 13.2 3.2 ■0.7 12.0

2021 ■0.9 7.7 10.0 10.É 16S :o.9 21.7 26.5 13.5 7.9 4.0 1.3 12.0

2022 ■2.2 5.5 1.3.3 10.1 13.3 ' 3.7 23.6 26.9 21.7 7.3 -0.2 D.7 11.7

2023 ■3.7 4.5 12.9 7.6 1DS J3.1 22.6 264 23.5 7.3 2.9 3.1 10.7

2024 ■2.7 1.0 1.3.0 11.1 144 :o.i 24.4 26.9 24.2 12.4 ' .5 ■0.3 12.2

2025 1.3 10.6 13.6 9.9 14_3 J9.fi 21.0 27.É 2D.2 7.1 2.3 1.3 12.2

The forecast has shown that global warming will have caused considerable increase of the air temperature in the region. The average annual temperature may reach + 12.2°C in 2025 at the expense of considerable raise of summer temperatures. However, cold season of the year may become colder. The next stage of the above-mentioned process should be a change of the regional climate type from the moderately-continental to continental or, that is less probable, to subtropical, as it is in the South of the Crimea.

Conclusions

Results of the study have shown great impact of the global warming on the local climate conditions in the Kherson region of Ukraine. Considerable increase of the annual air temperature has been forecasted for the next 8 years. Global warming is considered to be a serious problem because of comprehensive negative effects on ecosystems and human beings' health (Bosello et al., 2006).

References:

Adams, R.M., Hurd, B.H., Lenhart, S., Leary, N. (1998). Effects of global climate change on agriculture: an interpretative review. Climate Research, 11(1), 19-30.https://doi.org/10.3354/cr011019

Billah, B., King, M.L., Snyder, R.D., Koehler, A.B. (2006). Exponential smoothing model selection for forecasting. International Journal of Forecasting, 22, 239-247.https://doi.org/10.1016/j.ijforecast.2005.08.002

41

Global warming inputs

Bosello, F., Roson, R., Tol, R.S. (2006). Economy-wide estimates of the implications of climate change: Human health. Ecological Economics, 58(3), 579-591.https://doi.org/10.1016/j.ecolecon.2005.07.032

De Livera, A.M., Hyndman, R.J., Snyder, R.D. (2011). Forecasting time series with complex seasonal patterns using exponential smoothing. Journal of the American Statistical Association, 106(496), 1513-1527. https://doi.org/10.1198/jasa.2011.tm09771 Gardner, E.S. (2006). Exponential smoothing: The state of the art - Part II. International journal of forecasting, 22(4), 637-666. https://doi.org/10.1016/j.ijforecast.2006.03.005

Gelper, S., Fried, R., Croux, C. (2010). Robust forecasting with exponential and Holt-Winters smoothing. Journal of forecasting, 29(3), 285-300.

Howe, P.D., Leiserowitz, A. (2013). Who remembers a hot summer or a cold winter? The asymmetric effect of beliefs about global warming on perceptions of local climate conditions in the US. Global environmental change, 23(6), 1488-1500. https://doi.org/10.1016/j.gloenvcha.2013.09.014

Hyndman, R., Koehler, A.B., Ord, J.K., Snyder, R.D. (2008). Forecasting with exponential smoothing: the state space approach. Springer Science & Business Media. https://doi.org/10.1007/978-3-540-71918-2

Kaur, A., Kaur, M., Dhawan, P. (2017). Global warming leads climate change. International Journal of Innovate Research in Science and Engineering, 3(3), 140-143.

Lewis, C.D. (1982). Industrial and business forecasting methods: A practical guide to exponential smoothing and curve fitting. Butterworth-Heinemann.

Patz, J.A., Campbell-Lendrum, D., Holloway, T., Foley, J.A. (2005). Impact of regional climate change on human health. Nature, 438(7066), 310-317. https://doi.org/10.1038/nature04188

Schär, C., Vidale, P.L., Lüthi, D., Frei, C., Häberli, C., Liniger, M.A., Appenzeller, C. (2004). The role of increasing temperature variability in European summer heatwaves. Nature, 427(6972), 332-336. https://doi.org/10.1038/nature02300 Vitousek, P.M. (1994). Beyond global warming: ecology and global change. Ecology, 75(7), 1861-1876. https://doi.org/10.2307/1941591

Citation:

Lykhovyd, P.V. (2018). Global warming inputs in local climate changes of the Kherson region: current state and forecast of the air temperature. Ukrainian Journal of Ecology, 8(2), 39-41.

I ("OE^^^MlThk work is licensed under a Creative Commons Attribution 4.0. License

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