Hostname: page-component-586b7cd67f-r5fsc Total loading time: 0 Render date: 2024-11-23T03:32:50.924Z Has data issue: false hasContentIssue false

The activities of the German Weather Service (DWD) in the field of agroclimatology

Published online by Cambridge University Press:  01 March 2007

H. Friesland
Affiliation:
Deutscher Wetterdienst, Agrarmeteorologische Forschung, Bundesallee 50, 38116 Braunschweig, Germany Email: [email protected], [email protected]
F.-J. Löpmeier
Affiliation:
Deutscher Wetterdienst, Agrarmeteorologische Forschung, Bundesallee 50, 38116 Braunschweig, Germany Email: [email protected], [email protected]
Get access

Abstract

Agroclimatology represents the link between several agrometeorological fields and climatological applications. The German Weather Service (DWD) uses data from many meteorological stations for 40-year calculations by agrometeorological models. The topics extend from microclimatic elements over the wide field of soil conditions and water content, agricultural operations and product quality to forest fires and plant pests. Analyses of agroclimatic output allow for better planning, risk assessment, objective evaluation of the current situation and even for a test of the models used. Current applications concern crop microclimate, including soil, evapotranspiration and volatilisation, plant protection, phenology and product quality, with examples such as the frequency of extreme soil frost, optimum harvest conditions, plant water stress on different soils, and the frequency of high pest incidence. Not only singular places, but regions too can be evaluated. Results from combinations of elements, such as soil frozen with high water content, are considered valuable for recommendations to agricultural users. Agroclimatic model information concerning, for example, removal of plastic cover from spring crops, soil conditions for plant water use, tractability, herbicide effectiveness, germination, nutrient washout, and harvest, is directly usable by farmers. The information about forest fire index, extreme season assessment (for compensation payments), and trend analyses is of practical use for administration. The use of risk levels for plant pathogens is important both for farmers and extension services. The future importance of agroclimatic applications is considered high.

Type
Research Article
Copyright
Royal Meteorological Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Braden, H. 1995 The Model AMBETI—A Detailed Description of a Soil-Plant-Atmosphere Model. Berichte des Deutschen Wetterdienstes no. 195, Offenbach: Selbstverlag des DWD.Google Scholar
Braden, H. 2005 Calculation of microclimate under plastic mulches using an extended version of the SVAT model AMBETI. Meteorol. Z. 14: 165172.CrossRefGoogle Scholar
Friesland, H. 2006 Assessment of the impact of climate change and variability on agriculture. WMO Report of the RA VI Working Group on Agric. Meteorology, CAgM Report. Geneva: WMO in press.Google Scholar
Löpmeier, F.-J. 2004 Die agrarmeteorologische situation. In: D. Wetterdienst (ed.), Klimastatusbericht 2003. Offenbach: Selbstverlag des DWD, pp. 8493.Google Scholar
Löpmeier, F.-J. & Friesland, H. 1998 The German agrometeorological forecast system “AMBER”. In: Dalezios, N. (ed.), In: Proceedings of the COST 77, 79, 711 International Symposium on Applied Agrometeorology and Agroclimatology, Volos, Greece, 24–26 April 1996. Luxembourg: European Commission, pp. 371376.Google Scholar
Mavi, H. P. & Tupper, G. J. 2004 Agrometeorology. Principles and Applications of Climate Studies in Agriculture. New York: Food Products Press.CrossRefGoogle Scholar
Post, J. J., Allison, C. C., Burckhardt, H. & Preece, T. F. 1963 The influence of weather conditions on the occurrence of apple scab. WMO no. 140.TP.65, Technical note 55. Geneva: WMO.Google Scholar
Rijks, D. & Baradas, M. W. 2000 The clients for agrometeorological information. Agric. For. Met. 103: 2742.CrossRefGoogle Scholar
Stigter, C. J., Sivakumar, M. V. K. & Rijks, D. A. 2000 Agrometeorology in the 21st century: workshop summary and recommendations on needs and perspectives. Agric. For. Met. 103: 209227.CrossRefGoogle Scholar
Wittich, K.-P. 1998 Apple scab—potentials and limitations of operational infection forecasts in Germany. In: N. Dalezios (ed.), Proceedings of the COST 77, 79, 711 International Symposium on Applied Agrometeorology and Agroclimatology, Volos/Greece, 24–26 April 1996. Luxembourg: European Commission, pp. 229234.Google Scholar
Wittich, K.-P. 2005 A single-layer litter-moisture model for estimating forest-fire danger. Meteorol. Z. 14: 157164.CrossRefGoogle Scholar