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| Content Provider | Springer Nature Link |
|---|---|
| Author | Neumann, Paul A. Matzarakis, Andreas |
| Copyright Year | 2013 |
| Abstract | In the Federal State of Baden-Wuerttemberg in southwest of Germany, viticulture has a paramount importance in its agricultural sector. A simple model was developed for the purpose of estimating the annual wine characteristics with meteorological data as predictive terms. The estimations were based on 40 years of meteorological data of 11 weather stations and statistical data of annual must density and titratable acidity. A 30-year timespan was used to develop an estimation method and a 10-year timespan was used for validation. Three indices were combined by using a stepwise multiple linear regression: the Heliothermal Index, the climatic water balance, and the sunshine duration. In order to improve the model, the indices were modified by varying the time periods used to calculate the respective index. The model was able to estimate the must density with a bias below 1 Oechsle degree (°Oe) absolute value, which equals 0.21 °Bx, a mean average error (MAE) below 4° Oe/0.82 °Bx and a root mean square error (RMSE) below 5° Oe /1.03 °Bx. The titratable acidity could be estimated with a bias below 0.1 g/L absolute value, a MAE below 0.7 g/L and a RMSE below 0.9 g/L. |
| Starting Page | 259 |
| Ending Page | 271 |
| Page Count | 13 |
| File Format | |
| ISSN | 0177798X |
| Journal | Theoretical and Applied Climatology |
| Volume Number | 116 |
| Issue Number | 1-2 |
| e-ISSN | 14344483 |
| Language | English |
| Publisher | Springer Vienna |
| Publisher Date | 2013-06-28 |
| Publisher Place | Vienna |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Atmospheric Sciences Climatology Atmospheric Protection/Air Quality Control/Air Pollution Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution |
| Content Type | Text |
| Resource Type | Article |
| Subject | Atmospheric Science |
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