Open Access
| Issue |
Ciência Téc. Vitiv.
Volume 33, Number 2, 2018
|
|
|---|---|---|
| Page(s) | 167 - 176 | |
| DOI | https://doi.org/10.1051/ctv/20183302167 | |
| Published online | 23 November 2018 | |
- Brohan P., Kennedy J.J., Harris I., Tett S.F.B., Jones P.D., 2006. Uncertainty estimates in regional and global observed temperature changes: A new data set from 1850. Journal of Geophysical Research Atmospheres, 111 (12): D12106. [CrossRef] [PubMed] [Google Scholar]
- Brownlee J., 2016. Overfitting and Underfitting With Machine Learning Algorithms. Machine Learning Mistery. Available at: https://machinelearningmastery.com/overfitting-and-underfittingwith-machine-learning-algorithms/ [Accessed May 11, 2018]. [Google Scholar]
- C. Real A., Borges J., Sarsfield Cabral J., Jones G.V., 2014. Partitioning the grapevine growing season in the Douro Valley of Portugal: Accumulated heat better than calendar dates. International Journal of Biometeorology, 59 (8): 1045–59. [CrossRef] [PubMed] [Google Scholar]
- C. Real A., Borges J., Cabral J.S., Jones G.V., 2016. A climatology of Vintage Port quality. Int. J. Climatol., 37, 3798–3809. [CrossRef] [Google Scholar]
- Dall’Amico M., Hornsteiner,M., 2006. A simple method for estimating daily and monthly mean temperatures from daily minima and maxima. Int. J. Climatol., 26 (13), 1929–1936. [CrossRef] [Google Scholar]
- Feng S., Hu Q., Qian W., 2004. Quality control of daily meteorological data in China, 1951–2000: a new dataset. Int. J. Climatol., 24 (7), 853–870. [CrossRef] [Google Scholar]
- Fraga H., Malheiro A., Santos J., 2014. Climate factors driving wine production in the Portuguese Minho region. Agric. For. Meteorol., 185, 26–36. [Google Scholar]
- Fraga H., Santos J.A., 2017. Daily prediction of seasonal grapevine production in the Douro wine region based on favourable meteorological conditions. Aust. J. Grape and Wine Research, 23 (2), 296–304. [CrossRef] [Google Scholar]
- Government of Canada, 2016. Glossary. Available at: http://climate.weather.gc.ca/glossary_e.html [Accessed December 18, 2016]. [Google Scholar]
- Gu S., 2016. Growing degree hours - a simple, accurate, and precise protocol to approximate growing heat summation for grapevines. Int. J. Biometeorology, 60 (8), 1123–1134. [CrossRef] [PubMed] [Google Scholar]
- Jones G.V., 2012. A climate assessment for the Douro wine region: an examination for the past, present and future conditions for wine production, ADVID, Peso da Régua. Available at: http://scholar.google.com/scholar?hl=en&btnG=Search&q=intitle:A+Climate+Assessment+for+the+Douro+Wine+Region:+An+Exa mination+of+the+Past,+Present,+and+Future+Climate+Conditions+for+Wine+Production#1 [Accessed February 14, 2014]. [Google Scholar]
- Jones G.V., 2013. Uma Avaliação do Clima para a Região Demarcada do Douro: Uma análise das condições climáticas do passado, presente e futuro para a produção de vinho. ADVID - Associação para o Desenvolvimento da Viticultura, ed. [Google Scholar]
- Jones G.V., Alves F., 2012. Impact of climate change on wine production: a global overview and regional assessment in the Douro Valley of Portugal. Int. J. Global Warming, 4 (3/4), 383–406. [CrossRef] [Google Scholar]
- Kaemtz, L.F., Martins, C., Lalanne, L., 1845. A complete course of meteorology. C. V. Walker, ed., London: Hippolyte Baillière. [Google Scholar]
- Ma Y., Guttorp P., 2013. Estimating daily mean temperature from synoptic climate observations. Int. J. Climatol., 33 (5), 1264–1269. [CrossRef] [Google Scholar]
- Moberg A., Bergström H., Krigsman J.R., Svanered O., 2002. Daily air temperature and pressure series for Stockholm (1756--1998). Climatic Change, 53 (1/3): 171–212. [CrossRef] [Google Scholar]
- Rolland C., 2003. Spatial and seasonal variations of air temperature lapse rates in Alpine regions. Journal of Climate, 16 (7), 1032–1046. [CrossRef] [Google Scholar]
- Sakellariou N.K., Kambezidis H.D., 2016. Improving the estimation of the true mean monthly and true mean annual air temperatures in Greece. Atmospheric Science Letters, 17 (1), 13–18. [CrossRef] [Google Scholar]
- Santos J., Malheiro A., 2011. Statistical modelling of grapevine yield in the Port Wine region under present and future climate conditions. Int. J. Biometeorology, 55 (2), 119–131. [CrossRef] [PubMed] [Google Scholar]
- Sousa A.C.-R., 2015. Analyzing the Influence of the Douro Valley Weather on the Quality and Yield of Vintage Port. Porto. Available at: http://repositorioaberto.up.pt/bitstream/10216/78434/2/112947.pdf. [Google Scholar]
- Stone P., Carlson J., 1979. Atmospheric lapse rate regimes and their parameterization. Journal of the Atmospheric Sciences, 36, 415–423. [CrossRef] [Google Scholar]
- US Naval Observatory, 2017. Sun or Moon Rise/Set Table for One Year. Astronomical Applications Department. Available at: http://aa.usno.navy.mil/data/docs/RS_OneYear.php [Accessed January 12, 2017]. [Google Scholar]
- Van Leeuwen C., Garnier C., Agut C., Baculat B., Barbeau G., Besnard E., Bois B., Boursiquot J.-M., Chuine I., Dessup T., Dufourcq, T., Garcia-Cortazaz, I., Marguerit, E., Monamy, C., Koundourass S., Payan J.C., Parker A., Renouf V., Rodriguez-Lovelle B., Roby J. ., Tonietto J., Trambouze, W., 2008. Heat requirements for grapevine varieties is essential information to adapt plant material in a changing climate. In: VIIème Congrès International des Terroirs Viticoles - Comptes rendus - Volume 1, 222–227. [Google Scholar]
- Wang X., 2011. RHtestsV3. Available at: http://cccma.seos.uvic.ca/cgibin/etccdi/main_programs/download_RHtest?a=RHtestsV3.r. [Google Scholar]
- Weiss A., Hays C.J., 2005. Calculating daily mean air temperatures by different methods. Agric. For. Meteorol., 128 (1–2), 57–65. [CrossRef] [Google Scholar]
- World Meteorological Organization, 2014. Measurement of temperature. In: Guide to Meteorological Instruments and Methods of Observation. Geneve, Switzerland: WMO, p. 1128. [Google Scholar]
- World Meteorological Organization, 2016. Meteoterm. Available at: http://wmo.multicorpora.net/MultiTransWeb/Web.mvc [Accessed December 18, 2016]. [Google Scholar]
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