Modelling of the Aral and Caspian seas drying out influence to climate and environmental changes
DOI:
https://doi.org/10.3986/AGS54304Ključne besede:
Caspian Sea, Aral Sea, drying out, numerical simulation, air temperature, climate changePovzetek
The complete drying out of the Aral and Caspian seas, as isolated continental water bodies, and their potential impact on the climate and environment is examined with numerical simulations. Simulations use the atmospheric general circulation model (ECHAM5) as well as the hydrological discharge (HD) model of the Max-Planck-Institut für Meteorologie. The dry out is represented by replacing the water surfaces in both of the seas with land surfaces. New land surface elevation is lower, but not lover than 50 m from the present mean sea level. Other parameters in the model remain unchanged. The initial meteorological data is real; starting with January 1, 1989 and lasting until December 31, 1991. The final results were analyzed only for the second, as the first year of simulation was used for the model spinning up.
The drying out of both seas leads to an increase in land surface and average monthly air temperature during the summer, and a decrease of land surface and average monthly air temperature during the winter, above the Caspian Sea. The greatest difference in temperature between dry and not dry cases have the same values, about 7–8 °C in both seasons, while daily extremes of temperature are much more pronounced. In the wider local/regional area, close to both seas, drying out leads to a difference in average annual temperatures by about 1 °C. On a global scale, the average annual temperature remains unchanged and the configuration of the isotherms remain unchanged, except for over some of the continents. In winter, Central Asia becomes cooler, while over Australia, southern Africa, and South America, it becomes slightly less warm. Furthermore, a new heat island occurs in western Sahara during summer.
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Literatura
Arpe, K., Leroy, S. A. G. 2007: The Caspian Sea Level forced by the atmospheric circulation, as observed and modelled. Quaternary international 173–174. DOI: http://dx.doi.org/10.1016/j.quaint.2007.03.008
Arpe, K., Leroy, S. A. G., Lahijani, H., Khan, V. 2012: Impact of the European Russia drought in 2010 on the Caspian Sea level. Hydrology and earth system science 16. DOI: http://dx.doi.org/10.5194/hess-16-19-2012
Dahan A. 2010: Putting the Earth System in a numerical box? The evolution from climate modeling toward global change. Studies in history and philosophy of science B: studies in history and philosophy of modern physics 41-3. DOI: http://dx.doi.org/10.1016/j.shpsb.2010.08.002
Diamond, J. M. 2005: Collapse: how societies choose to fail or succeed. New York.
ERA40 reanalyse data 01/01/1989. Atmosphere database. European centre for medium range weather forecasts (ECMWF). Reading.
Gavrilov, M. B. 2005: Poplave i država. Vršačke vesti, 23. 5. 2005. Vršac.
Gavrilov, M. B., Jovanović, G. R., Janjić, Z. 2011: Sensitivity of a long-range numerical weather forecast model to small changes of model parameters. Advances in science and research 6. DOI: http://dx.doi.org/10.5194/asr-6-13-2011
Goosse, H., Barriat, P. Y., Lefebvre, W., Loutre, M. F., Zunz, V. 2013: Introduction to climate dynamics and climate modeling. Internet: http://www.climate.be/textbook (19. 2. 2013).
Hansen, J. E., Sato, M. 2012: Paleoclimate implications for human-made climate change. Climate Change: Inferences from paleoclimate and regional aspects. DOI: http://dx.doi.org/10.1007/978-3-7091-0973-1_2
Hagemann, S., Dümenil, L. 1996: Development of a parameterization of lateral discharge for the global scale. MPI Report 219. Hamburg.
Hagemann, S., Dümenil, L. 1998: A parameterization of the lateral waterflow for the global scale. Climate dynamics 14-1. DOI: http://dx.doi.org/10.1007/s003820050205
Hagemann, S., Arpe, K., Roeckner, E. 2006: Evaluation of the hydrological cycle in the ECHAM5 model. Journal of climate 19. DOI: http://dx.doi.org/10.1175/JCLI3831.1
Hagemann, S. 2002: An improved land surface parameter dataset for global and regional climate models. MPI Report 336. Hamburg.
Hamon, N., Sepulchere, P., Lefebvre, V., Ramstain, G. 2013: The role of eastern Tethys seaway closure in the Middle Miocene climatic transition (ca. 14 Ma). Climate of the past 9. DOI: http://dx.doi.org/10.5194/ cp-9-2687-2013
Internet 1: http: /celebrating200years.noaa.gov/breakthroughs/climate_model/AtmosphericModelSchematic.png (19. 2. 2013).
Kislov, A., Panin, A., Toropov, P. 2012. Paleostages of the Caspian Sea as a regional benchmark tests for the evaluation of climate model simulations. Climate of the past discussions 8. DOI: http://dx.doi.org/10.5194/cpd-8-5053-2012
Micklin, P. 2007. The Aral Sea disaster. annual review of earth and planetary sciences 35. DOI: http://dx.doi.org/10.1146/annurev.earth.35.031306.140120
Micklin, P., Aladin, N.V. 2008: Reclaiming the Aral Sea. Scientific American 298-4. Internet: http://www.sciam.com/article.cfm?id=reclaiming-the-aral-sea&sc=rss (19. 2. 2013).
Murphy, L. N., Kirk-Davidoff, D. B., Mahowald, N., Otto-Bliesner, B. L. 2009: A numerical study of the climate response to lowered Mediterranean Sea level during the Messinian Salinity Crisis. Palaeogeography, palaeoclimatology, palaeoecology 279. DOI: http://dx.doi.org/10.1016/j.palaeo.2009.04.016
Peneva, E. L., Stanev, E. V., Stanychi, S. V., Salokhiddinov, A., Stulina, G. 2004. The recent evolution of the Aral Sea level and water properties: analysis of satellite, gauge and hydrometeorological data. Journal of marine systems 47, 1-4. DOI: http://dx.doi.org/10.1016/j.jmarsys.2003.12.005
Ramstain, G., Fluteau, F., Besse, J., Joussaume, S. 1997: Effect of orogeny, plate motion and land-sea distribution on Eurasian climate change over the past 30 million years. Nature 386. DOI: http://dx.doi.org/10.1038/386788a0
Roeckner, E., Bäuml, G., Bonaventura, L., Brokopf, R., Esch, M., Giorgetta, M., Hagemann, S., Kirchner, I., Kornblueh, L., Manzini, E., Rhodin, A., Schlese, U., Schulzweida, U., Tompkins, A. 2003: The atmospheric general circulation model ECHAM5 – model description 1. Report 349. Hamburg.
Roeckner, E., Brokopf, R., Esch, M., Giorgetta, M., Hagemann, S., Kornblueh, L., Manzini, E., Schlese, U., Schulzweida, U. 2004: The atmospheric general circulation model ECHAM5, sensitivity of simulated climate to horizontal and vertical resolution 2 II. Report 354. Hamburg.
Simmons, A. J., Burridge, D. M., Jarraud, M., Girard, C., Wergen, W. 1989: The ECMWF medium-range prediction models development of the numerical formulations and the impact of increased resolu- tion. Meteorology and atmospheric physics 40, 1-3. DOI: http://dx.doi.org/10.1007/BF01027467
Singh, A., Seitz, F., Schwatke, C. 2012: Inter-annual water storage changes in the Aral Sea from multi-mission satellite altimetry, optical remote sensing, and GRACE satellite gravimetry. Remote sensing of environment 123. DOI: http://dx.doi.org/10.1016/j.rse.2012.01.001
Toman, M. J. 2013: Aralsko jezero – simbolj okoljske katastrofe. Proteus 75, 9–10.
Tudryn, A., Chalié, F., Lavrushin, Yu. A., Antipov, M. P., Spiridonova, E. A., Lavrushin, V., Tucholka, P., Leroy, S. A. G. 2013: Late Quaternary Caspian Sea environment: Late Khazarian and Early Khvalynian transgressions from the lower reaches of the Volga River. Quaternary international 292. DOI: http://dx.doi.org/10.1016/j.quaint.2012.10.032
Varuschenko, S. I., Varuschenko, A. N., Klige, R. K. 1987: Changes in the regime of the Caspian Sea and non-terminal water bodies in paleotime. Moscow.
Wiin-Nielsen A. 1978: On balance requirements as initial conditions. European centre for medium range weather forecasts (ECMWF) report 9. Berkshire.
Vrišer, I. 1953: Padanje gladine Kaspijskega morja. Proteus 15-9.
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