Abstract
This study investigates the Black Sea influence on the thermal characteristics of its western hinterland based on satellite imagery acquired by the Moderate Resolution Imaging Spectroradiometer (MODIS). The marine impact on the land surface temperature (LST) values is detected at daily, seasonal and annual time scales, and a strong linkage with the land cover is demonstrated. The remote sensing products used within the study supply LST data with complete areal coverage during clear sky conditions at 1-km spatial resolution, which is appropriate for climate studies. The sea influence is significant up to 4–5 km, by daytime, while the nighttime influence is very strong in the first 1–2 km, and it gradually decreases westward. Excepting the winter, the daytime temperature increases towards the plateau with the distance from the sea, e.g. with a gradient of 0.9 °C/km in the first 5 km in spring or with 0.7 °C/km in summer. By nighttime, the sea water usually remains warmer than the contiguous land triggering higher LST values in the immediate proximity of the coastline in all seasons, e.g. mean summer LST is 19.0 °C for the 1-km buffer, 16.6 °C for the 5-km buffer and 16.0 °C for the 10-km buffer. The results confirm a strong relationship between the land cover and thermal regime in the western hinterland of the Black Sea coast. The satellite-derived LST and air temperature values recorded at the meteorological stations are highly correlated for similar locations, but the marine influence propagates differently, pledging for distinct analysis. Identified anomalies in the general observed trends are investigated in correlation with sea surface temperature dynamics in the coastal area.
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References
Administrația Națională de Meteorologie (2008) Clima României. Editura Academiei, Bucharest, p 365
Benali A, Carvalho A, Nunes J, Santos A (2012) Estimating air surface temperature in Portugal using MODIS LST data. Remote Sens Environ 124:108–121. https://doi.org/10.1016/j.rse.2012.04.024
Bulgar A (1974) Upwelling at the Romanian Black Sea shore. Revue Roumaine de Géologie Géophysique Et Géographie 18:249–253
Cheval S, Dumitrescu A (2015) The summer surface urban heat island of Bucharest (Romania) retrieved from MODIS images. Theor Appl Climatol 121(3):631–640. https://doi.org/10.1007/s00704-014-1250-8
Cinar I (2015) Assessing the correlation between land cover conversion and temporal climate change—a pilot study in coastal Mediterranean City, Fethiye, Turkey. Atmosphere 6:1102–1118. https://doi.org/10.3390/atmos6081102
Constantin S, Cheval S (2016) Automated Geodata processing for Black Sea influence assessment on the land surface temperature. Environ Eng Manag J 2:405–411
Crosman E, Horel J (2010) Sea and lake breezes: a review of numerical studies. Bound-Layer Meteorol 137:1–29. https://doi.org/10.1007/s10546-010-9517-9
Drobinski P, Basin S, Dabas A, Delville P, Reitebuch O (2006) Variability of three-dimensional sea breeze structure in southern France: observations and evaluation of empirical scaling laws. Ann Geophys 24:1783–1799. https://doi.org/10.5194/angeo-24-1783-2006
Dumitrescu A, Birsan MV, Manea A (2016) Spatio-temporal interpolation of sub-daily (6 h) precipitation over Romania for the period 1975–2010. Int J Climatol 36(3):1331–1343. https://doi.org/10.1002/joc.4427
Eager RE, Raman S, Wootten A, Westphal D, Reid J, Al Mandoos A (2008) A climatological study of the sea and land breezes in the Arabian Gulf region. J Geophys Res 113:D15106. https://doi.org/10.1029/2007JD009710
Efimov V, Barabanov V (2009) Analysis of observations and methods for calculating hydrophysical fields in the ocean breeze circulation in the Black Sea region. Phys Oceanogr 19(5):289–300
European Environment Agency (2006) Corine Land Cover 2006 seamless vector data. https://www.eea.europa.eu/data-and-maps/data/clc-2006-vector-4#tab-european-data
European Environment Agency (2013) Copernicus Land Monitoring Service-EU-DEM. https://www.eea.europa.eu/data-and-maps/data/copernicus-land-monitoring-service-eu-dem
Gallo KP, Owen TW, Easterling DR (1999) Temperature trends of the U.S. historical climatology network based on satellite-designated land use/land cover. J Clim 12(5):1344–1348
Gao Z, Ning J, Gao W (2009) Response of land surface temperature to coastal land use/cover change by remote sensing. Trans Chin Soc Agric Eng 25(9):274–281
Huang X, Ullrich PA (2016) Irrigation impacts on California’s climate with the variable-resolution CESM. J Adv Model Earth Syst 8:1151–1163. https://doi.org/10.1002/2016MS000656
Kubryakov AA, Shokurov MV, Stanichny SV, Anisimov AE (2015) Land–sea temperature contrasts in the Black Sea region and their impact on surface wind variability. Izv Atmos Oceanic Phys 51(4):508–518. https://doi.org/10.1134/S0001433815040052
Kueppers LM, Snyder MA, Sloan LC (2007) Irrigation cooling effect: regional climate forcing by land-use change. Geophys Res Lett 34(3):L03703. https://doi.org/10.1029/2006GL028679
Lensky I, Dayan U (2011) Continuous detection and characterization of the sea breeze in clear sky conditions using Meteosat Second Generation. Atmos Chem Phys 11:1–21. https://doi.org/10.5194/acpd-11-1-2011
Mihăilescu IB (1997) Contributions to the evaluation of the Black Sea influence upon the air temperature regime in Dobroudja. Seminar Sessions “Dimitrie Cantemir”, 13–14, 69–80
Mihailov ME, Tomescu-Chivu MI, Dima V (2012) Black Sea water dynamics on the Romanian littoral—case study: the upwelling phenomena. Rom Rep Phys 64:232–245
Păun S (2013) The sea breeze front of Dobrogea and associated convective storm clouds. Revista științifică a Administrației Naționale de Meteorologie 2012-2013:111–128 (in Romanian)
Rubel F, Kottek M (2010) Observed and projected climate shifts 1901-2100 depicted by world maps of the Köppen-Geiger climate classification. Meteorol Z 19:135–141. https://doi.org/10.1127/0941-2948/2010/0430
Scheitlin K (2013) The maritime influence on diurnal temperature range in the Chesapeake Bay area. Earth Interact 17(21):14–14. https://doi.org/10.1175/2013EI000546.1
Scheitlin KN, Dixon PG (2010) Diurnal temperature range variability due to land cover and air mass types in the Southeast. J Appl Meteorol Climatol 49(5):879–888. https://doi.org/10.1175/2009JAMC2322.1
Setturu B, Rajan K, Ramachandra T (2013) Land surface temperature responses to land use land cover dynamics. Geoinformat Geostat 1(4). https://doi.org/10.4172/2327-4581.1000112
Shapiro GI, Aleynik DL, Mee LD (2010) Long term trends in the sea surface temperature of the Black Sea. Ocean Sci 6:491–501. https://doi.org/10.5194/os-6-491-2010
Smith A, Lott N, Vose R (2011) The integrated surface database: recent developments and partnerships. Bull Am Meteorol Soc 92:704–708. https://doi.org/10.1175/2011BAMS3015.1
Solargis (2015) GHI solar map. Retrieved 11 20, 2016, from http://solargis.com/products/maps-and-gis-data/free/overview/
Stroppiana D, Antoninetti M, Brivio P (2014) Seasonality of MODIS LST over Southern Italy and correlation with land cover, topography and solar radiation. Eur J Remote Sens 47:133–152. https://doi.org/10.5721/EuJRS20144709
Sweeney J, Chagnon J, Gray S (2014) A case study of sea breeze blocking regulated by sea surface temperature along the English south coast. Atmos Chem Phys 14:4409–4418. https://doi.org/10.5194/acp-14-4409-2014
Văduva I (2004) Characteristics of the land surface temperature in South Dobroudja Plateau. Geographic Seminar Sessions “Dimitrie Cantemir”, 23-24, 163–172
von Storch H, Navarra A (1999) Analysis of climate variability: applications of statistical techniques, Springer Verlag, 2nd Updated Extended Edition, 342 pp
Wan Z, Zhang Y, Zhang Q, Li ZL (2010) Quality assessment and validation of the MODIS global land surface temperature. Int J Remote Sens 25(1):261–274. https://doi.org/10.1080/0143116031000116417
Acknowledgements
The MOD11A1 data products were retrieved from the online Data Pool, courtesy of the NASA Land Processes Distributed Active Archive Center (LP DAAC), USGS/Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota, https://lpdaac.usgs.gov/data_access/data_pool; accessed on March 2015. Source of SST remote sensing information: NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Ocean Biology Processing Group; accessed on November 2016 through NASA Ocean Biology Distributed Active Archive Center (OB.DAAC), Goddard Space Flight Center, Greenbelt MD. Digital Elevation Model and Corine Land Cover 2006 seamless vector data produced using Copernicus data and information funded by the European Union and distributed by the European Environment Agency (EEA). The air temperatures were retrieved from the Integrated Surface Global (ISD) Hourly Data, a digital dataset DSI-3505, archived at the National Climatic Data Center (NCDC) and available at https://www.ncdc.noaa.gov/isd. This work was supported also by the Research Institute of the University of Bucharest (ICUB) fellowship for young researchers. We would like to thank the three anonymous reviewers for their very useful comments and suggestions.
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Cheval, S., Constantin, S. Black Sea impact on its west-coast land surface temperature. Theor Appl Climatol 135, 1583–1593 (2019). https://doi.org/10.1007/s00704-018-2454-0
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DOI: https://doi.org/10.1007/s00704-018-2454-0