Modelling spatio-temporally resolved air temperature across the complex geo-climate area of France using satellite-derived land surface temperature data

International Journal of Climatology

Volumn 37, Issue 1, 2017, Pages 296-304

  Kloog, Itai ^a   Nordio, Francesco ^b   Lepeule, Johanna ^b,c,d,e   Padoan, Andrea ^f   Lee, Mihye ^b   Auffray, Annick ^g   Schwartz, Joel ^b  

^a BEN GURION UNIVERSITY OF THE NEGEV   (Israel)

^b HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^c INSTITUTE FOR ADVANCED BIOSCIENCES   (France)

^d INSTITUT ALBERT BONNIOT   (France)

^e GRENOBLE UNIVERSITY HOSPITAL   (France)

^f UNIVERSITY OF PADOVA   (Italy)

^g MÉTÉO FRANCE   (France)

Author keywords

air temperature; epidemiology; exposure error; MODIS; surface temperature

Indexed keywords

CALIBRATION; CLIMATE CHANGE; EPIDEMIOLOGY; HEALTH; IMAGE RECONSTRUCTION; LAND USE; RADIOMETERS; SATELLITE IMAGERY; SATELLITES; SURFACE PROPERTIES;

AIR TEMPERATURE; CHANGING TEMPERATURE; ENVIRONMENTAL EXPOSURE; EXPOSURE ERRORS; LAND SURFACE TEMPERATURE; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; MODIS; SURFACE TEMPERATURES;

ATMOSPHERIC TEMPERATURE;

AIR TEMPERATURE; CLIMATE CHANGE; EPIDEMIOLOGY; ESTIMATION METHOD; MODELING; MODIS; SATELLITE DATA; SPATIOTEMPORAL ANALYSIS; SURFACE TEMPERATURE;

FRANCE;

EID: 84961262380     PISSN: 08998418     EISSN: 10970088     Source Type: Journal    
DOI: 10.1002/joc.4705     Document Type: Article

References (29)

1. Basu R, Dominici F, Samet JM. 2005. Temperature and mortality among the elderly in the United States: a comparison of epidemiologic methods. Epidemiology 16(1): 58–66, doi: 10.1097/01.ede.0000147117.88386.fe.
2. Basu R, Malig B, Ostro B. 2010. High ambient temperature and the risk of preterm delivery. Am. J. Epidemiol. 172(10): 1108–1117, doi: 10.1093/aje/kwq170.
3. Benali A, Carvalho AC, Nunes JP, Carvalhais N, Santos A. 2012. Estimating air surface temperature in Portugal using MODIS LST data. Remote Sens. Environ. 124: 108–121, doi: 10.1016/j.rse.2012.04.024.
4. Cocke S, LaRow TE. 2000. Seasonal predictions using a regional spectral model embedded within a coupled ocean–atmosphere model. Mon. Weather Rev. 128(3): 689–708.
5. Florio EN, Lele SR, Chang YC, Sterner R, Glass GE. 2004. Integrating AVHRR satellite data and NOAA ground observations to predict surface air temperature: a statistical approach. Int. J. Remote Sens. 25(15): 2979–2994.
6. Fu G, Shen Z, Zhang X, Shi P, Zhang Y, Wu J. 2011. Estimating air temperature of an alpine meadow on the Northern Tibetan Plateau using MODIS land surface temperature. Acta Ecol. Sin. 31(1): 8–13.
7. Hartig T, Catalano R. 2013. Cold summer weather, constrained restoration, and very low birth weight in Sweden. Health Place 22: 68–74, doi: 10.1016/j.healthplace.2013.03.008.
8. Kloog I, Chudnovsky A, Koutrakis P, Schwartz J. 2012a. Temporal and spatial assessments of minimum air temperature using satellite surface temperature measurements in Massachusetts, USA. Sci. Total Environ. 432: 85–92, doi: 10.1016/j.scitotenv.2012.05.095.
9. Kloog I, Melly SJ, Ridgway WL, Coull BA, Schwartz J. 2012b. Using new satellite based exposure methods to study the association between pregnancy pm2. 5 exposure, premature birth and birth weight in Massachusetts. Environ. Health 11(1): 1–8.
10. Kloog I, Chudnovsky AA, Just AC, Nordio F, Koutrakis P, Coull BA, Lyapustin A, Wang Y, Schwartz J. 2014a. A new hybrid spatio-temporal model for estimating daily multi-year PM2.5 concentrations across northeastern USA using high resolution aerosol optical depth data. Atmos. Environ. 95: 581–590, doi: 10.1016/j.atmosenv.2014.07.014.
11. Kloog I, Nordio F, Coull BA, Schwartz J. 2014b. Predicting spatiotemporal mean air temperature using MODIS satellite surface temperature measurements across the northeastern USA. Remote Sens. Environ. 150: 132–139, doi: 10.1016/j.rse.2014.04.024.
12. Kloog I, Melly SJ, Coull BA, Nordio F, Schwartz JD. 2015. Using satellite-based spatiotemporal resolved air temperature exposure to study the association between ambient air temperature and birth outcomes in Massachusetts. Environ. health perspectives 123(10): 1053–1058.
13. Le Tertre A, Lefranc A, Eilstein D, Declercq C, Medina S, Blanchard M, Chardon B, Fabre P, Filleul L, Jusot J-F, Pascal L, Prouvost H, Cassadou S, Ledrans M. 2006. Impact of the 2003 heatwave on all-cause mortality in 9 French cities. Epidemiology 17(1): 75–79, doi: 10.1097/01.ede.0000187650.36636.1f.
14. Lee SJ, Hajat S, Steer PJ, Filippi V. 2008. A time-series analysis of any short-term effects of meteorological and air pollution factors on preterm births in London, UK. Environ. Res. 106(2): 185–194, doi: 10.1016/j.envres.2007.10.003.
15. Ostro BD, Roth LA, Green RS, Basu R. 2009. Estimating the mortality effect of the July 2006 California heat wave. Environ. Res. 109(5): 614–619, doi: 10.1016/j.envres.2009.03.010.
16. Oyler JW, Ballantyne A, Jencso K, Sweet M, Running SW. 2015. Creating a topoclimatic daily air temperature dataset for the conterminous United States using homogenized station data and remotely sensed land skin temperature. Int. J. Climatol. 35(9): 2258–2279, doi: 10.1002/joc.4127.
17. R Foundation for Statistical Computing. 2014. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing: Vienna, Austria.
18. Reichle RH. 2008. Data assimilation methods in the Earth sciences. Adv. Water Resour. 31(11): 1411–1418, doi: 10.1016/j.advwatres.2008.01.001.
19. Shi L, Kloog I, Zanobetti A, Liu P, Schwartz J. 2015. Impacts of temperature and its variability on mortality in New England. Nat. Clim. Change 5: 988–991.
20. Strand LB, Barnett AG, Tong S. 2011. The influence of season and ambient temperature on birth outcomes: a review of the epidemiological literature. Environ. Res. 111(3): 451–462.
21. Vancutsem C, Ceccato P, Dinku T, Connor SJ. 2010. Evaluation of MODIS land surface temperature data to estimate air temperature in different ecosystems over Africa. Remote Sens. Environ. 114(2): 449–465, doi: 10.1016/j.rse.2009.10.002.
22. Vandentorren S, Suzan F, Medina S, Pascal M, Maulpoix A, Cohen J-C, Ledrans M. 2004. Mortality in 13 French cities during the August 2003 heat wave. Am. J. Public Health 94(9): 1518–1520, doi: 10.2105/AJPH.94.9.1518.
23. Vicente-Serrano S, Saz-Snchez M, Cuadrat J. 2003. Comparative analysis of interpolation methods in the middle Ebro Valley (Spain): application to annual precipitation and temperature. Clim. Res. 24: 161–180, doi: 10.3354/cr024161.
24. Wan Z. 2008. New refinements and validation of the MODIS land–surface temperature/emissivity products. Remote Sens. Environ. 112(1): 59–74.
25. Wells JCK, Cole TJ. 2002. Birth weight and environmental heat load: a between-population analysis. Am. J. Phys. Anthropol. 119(3): 276–282, doi: 10.1002/ajpa.10137.
26. WHO. 2010. Hidden Cities: Unmasking and Overcoming Health Inequities in Urban Settings. World Health Organization Centre for Health Development: Wakinohama-Kaigandori Chuo-ku, Kobe, Japan.
27. Wilby RL, Wigley TML. 1997. Downscaling general circulation model output: a review of methods and limitations. Prog. Phys. Geogr. 21(4): 530–548.
28. Zhang L, Huang J, Guo R, Li X, Sun W, Wang X. 2013. Spatio-temporal reconstruction of air temperature maps and their application to estimate rice growing season heat accumulation using multi-temporal MODIS data. J. Zhejiang Univ. Sci. B 14(2): 144–161, doi: 10.1631/jzus.B1200169.
29. Zhu W, Lü A, Jia S. 2013. Estimation of daily maximum and minimum air temperature using MODIS land surface temperature products. Remote Sens. Environ. 130: 62–73, doi: 10.1016/j.rse.2012.10.034.