National Progress Reports in Agrometeorology

The WMO Secretariat prepared and circulated a detailed questionnaire for the preparation of National Reports on Progress Made in Agricultural Meteorology by Members per Recommendation 1 of CAgM-XIV. In accordance with this recommendation, the WMO Secretariat will continue to compile the information in a comprehensive database to make it available to members.

2002-2005

Back

Germany

  1. Part 1 - Organization
    1. 1.1. Number of institutions engaged in Agrometeorology-related work in your country .....10
    2. 1.2. Resources and Facilities (please give number)
      1. 1.2a. Approximate no. of persons in Agricultural Meteorology
        1. NMHS
          1. - Class I-II .....20
          2. - Class III-IV .....10
          3. - Others .....20
          4. - PhD .....15
        2. non-NMHS
          1. - Class I-II .....N/A
          2. - Class III-IV .....N/A
          3. - Others .....N/A
          4. - PhD .....N/A
      2. 1.2b. Facilities available to Agricultural Meteorology Division
        1. NMHS
          1. - Mainframe computers .....3
          2. - Personal computers .....100
          3. - Geographic Information Systems (GIS) .....2
          4. - Remote Sensing and Image Analysis .....N/A
          5. - Vehicles .....3
        2. non-NMHS
          1. - Mainframe computers .....N/A
          2. - Personal computers .....N/A
          3. - Geographic Information Systems (GPS) .....N/A
          4. - Remote Sending and Image Analysis .....N/A
          5. - Vehicles .....N/A
    3. 1.3. Training and Education (Training and Education of Agricultural Meteorology personnel since 1999)
      1. NMHS
        1. - No of persons who received advanced degrees (M.Sc, Ph.D) .....N/A
        2. - No of persons who attended long term training courses .....N/A
        3. - No of persons who attended short term seminars, workshops (1-2 weeks) .....15
      2. non-NMHS
        1. - No of persons who received advanced degrees (M.Sc, Ph.D) .....N/A
        2. - No of persons who attended long term training courses .....N/A
        3. - No of persons who attended short term seminars, workshops (1-2 weeks) .....N/A
  2. Part 2 - Agrometeorological Observations
    1. NMHS
      1. 2002 and prior
        1. - Number of stations in the network of agrometeorological observations .....200
        2. - New instruments added .....N/A
        3. - New types and methods of agromet observations .....N/A
        4. - Automatic weather stations in use .....100
      2. 2005
        1. - Number of stations in the network of agrometeorological observations .....400
        2. - New instruments added .....N/A
        3. - New types and methods of agromet observations .....N/A
        4. - Automatic weather stations in use .....295
    2. non-NMHS
      1. 2002 and prior
        1. - Number of stations in the network of agrometeorological observations .....N/A
        2. - New instruments added .....N/A
        3. - New types and methods of agromet observations .....N/A
        4. - Automatic weather stations in use .....N/A
      2. 2005
        1. - Number of stations in the network of agrometeorological observations .....N/A
        2. - New instruments added .....N/A
        3. - New types and methods of agromet observations .....N/A
        4. - Automatic weather stations in use .....N/A
  3. Part 3 - Agrometeorological Services for Agriculture
    1. 3.1. Service structure (Indicate where agrometeorological services are located in your country)
      1. - Is the agrometeorological service constituted as a separate unit? .....Yes
      2. - Is the agrometeorological service at headquarters only? .....No
      3. - Are there agrometeorological services in different regions? .....Yes
    2. 3.2. Please list the agrometeorological products and other services for agriculture products provided by your service
      Phone service (Fax and phone on demand) – agrometeorological forecasts

      Fax service

      Internet: www.agrowetter.de with forecasts, irrigation advice, reports

      Special reports

      Agricultural papers
    3. 3.3. Types and forms of service provided by the agrometeorology unit
      1. - Brochures and info pamphlets .....No
      2. - Radio and TV .....No
      3. - Press releases .....Yes
      4. - Workshops and seminars .....Yes
      5. - Interactions with farmers and/or farmer groups .....Yes
    4. 3.4. Agrometeorological Information on the Internet
      1. - Does your service have an Internet web page?
        www.agrowetter.de

        www.agramet.de
      2. - Specify the agrometeorological products posted on your website
        agrowetter Prognose: agrometeorological forecasts

        agrowetter Beregnung: irrigation advices

        agrowetter Berichte: agrometeorological reports
    5. 3.5. Collaboration with other organizations (including important achievements)
      1. 3.5a. Please list the names of the governmental ministries/institutions that your service collaborated with during 2002-2005
        Ministry of Agriculture

        Federal Environment Ministry

        Ministry for Traffic
      2. 3.5b. Please list the names of the non-governmental organization (NGOs) that your service collaborated with during 2002-2005
        Deutcher Bauernverband (German Farmers Association)
    6. 3.6. Media interaction: routinely/in person
      1. - Television .....No
      2. - Radio .....No
      3. - Electronic .....Yes
      4. - Newspaper/magazine .....Yes
    7. 3.7. Awareness and training events which you conduct
      1. - Cooperatively with other Ministry or Sector .....No
      2. - Cooperatively with other University .....No
      3. - Cooperatively with NGO .....No
      4. - At regular intervals .....No
      5. - Do meteorologists/climatologists attend together with sector reps? .....No
  4. Part 4 - Agrometeorological Research
    1. Please indicate the agrometeorological research conducted in your service
      1. 4.1. Influence of meteorological factors on the growth, development, yield and quality of agricultural crops .....Yes
      2. 4.2. Development of methods for agrometeorological forecasting and assessment of present condition .....Yes
      3. 4.3. Linkage between agrometeorological models and atmospheric forecast and general circulation models .....No
      4. 4.4. Development of applications using seasonal to interannual predictions in agriculture .....No
      5. 4.5. Macroclimatic, mesoclimatic and microclimatic research .....Yes
      6. 4.6. Influence of meteorological factors on livestock husbandry .....No
      7. 4.7. Influence of meteorological and climatological factors on inland coastal and marine fisheries .....No
      8. 4.8. Protection of plants and livestock against adverse weather .....Yes
      9. 4.9. Agrometeorological conditions for the development of crop and livestock pests and diseases .....Yes
      10. 4.10. Research on the impact of agricultural activities that possibly influence weather and climate at local, national, and global levels .....No
      11. 4.11. Research on remote-sensing application in agrometeorology .....Yes
      12. 4.12. Research into agrometeorological aspects of drought and desertification .....No
      13. 4.13. Research on potential impacts of climate change/variability on national agriculture, rangelands, forestry, and fisheries .....Yes
      14. 4.14. Research on mitigation and adaptation strategies due to impacts of climate change/variability and natural disasters in agriculture .....No
      15. 4.15. Research on the impact of natural disasters on agriculture, rangelands, forestry, and fisheries .....No
      16. 4.16. Research on fire weather agrometeorology .....Yes
    2. Please cite below up to 7 reports/publications in the item checked above from your service.
      Braden, H. 1995. The model AMBETI. A detailed description of a soil-plant-atmosphere model. Berichte des Deutschen Wetterdienstes Nr. 195, 117 p., Offenbach a.M.

      Braden, H. 2005. Calculation of microclimate under plastic mulches using an extended version of the SVAT model AMBETI. Meteorologische Zeitschrift, 14(2), S. 157-164.

      Friesland, H., S. Orlandini, and A. Susnik. 2005. Description and testing of the model PERO for grape-vine downy mildew predictions. In: G. Maracchi et al. (ed.): Irrigation and pest and disease models: Evaluation in different environments and web-based applications. COST 718 report, European Commission. S. 127-139.

      Furhauf, C., P. Wittich, and H. Braden. 2005. Infrared measurements of leaf surface temperatures in a vineyard. Proceedings of GESCO (Groupe tude des systmes de Conduite de la Vigne), Geisenhiem, Germany, 23-17 August 2005. Vol 2. 226-230.

      Kersebaum, K.C., Friesland, H., Lpmeier, F.J. 2005. Comparison of three irrigation models under German conditions. In: G. Maracchi et al. (ed.): Irrigation and pest and disease models: Evaluation in different environments and web-based applications. COST 718 report, European Commission. S. 16-25.

      Wittich, K. P. 2005. A single-layer litter-moisture model for estimating forest-fire danger. Meteorologische Zeitschrift, 14(2), S. 157-164.

      Wittich, K. P. 2005. LEAFWET - a simple calculation scheme for the leaf-wetness duration on the top of an orchard. In: G. Maracchi et al. (ed.): Irrigation and pest and disease models: Evaluation in different environments and web-based applications. COST 718 report, European Commission. S. 76-83.
  5. Part 5 - Socio-Economic Benefits
    1. - Please list any case studies demonstrating the socio-economic benefits of your agrometeorological service.
      N/A
  6. Part 6 - Models
    1. - Information on practical crop-yield models, irrigation, disease/pest model, etc. (even if they are in the initial stages of development). Please list the ten most-used models in your service.
      Soil moisture and irrigation model

      Microclimate model

      Forest fire model

      Chemical drift and volatilization model

      Herbicide efficiency model

      Grass yield and grass moisture model

      Rape beetle activity model

      Potato late blight model

      Wheat powdery mildew model

      Wheat gain aphid population model
  7. Part 7 - Bibliography
    1. Please provide a short bibliography of relevant papers/reports published by your service.
      Braden, H. 1995. The model AMBETI. A detailed description of a soil-plant-atmosphere model. Berichte des Deutschen Wetterdienstes Nr. 195, 117 p., Offenbach a.M.

      Braden, H. 2005. Calculation of microclimate under plastic mulches using an extended version of the SVAT model AMBETI. Meteorologische Zeitschrift, 14(2), S. 157-164.

      Friesland, H. 2005. Description and testing of the model ASCHORF for apple scab predictions. In: G. Maracchi et al. (ed.): Irrigation and pest and disease models: Evaluation in different environments and web-based applications. COST 718 report, European Commission. S. 103-113.

      Friesland, H., S. Orlandini, and A. Susnik. 2005. Description and testing of the model PERO for grape-vine downy mildew predictions. In: G. Maracchi et al. (ed.): Irrigation and pest and disease models: Evaluation in different environments and web-based applications. COST 718 report, European Commission. S. 127-139.

      Furhauf, C., P. Wittich, and H. Braden. 2005. Infrared measurements of leaf surface temperatures in a vineyard. Proceedings of GESCO (Groupe tude des systmes de Conduite de la Vigne), Geisenhiem, Germany, 23-17 August 2005. Vol 2. 226-230.

      Jagoutz, H. 2005. Past and future irrigation requirement of vines. Proceedings of GESCO (Groupe tude des systmes de Conduite de la Vigne), Geisenhiem, Germany, 23-17 August 2005. Vol 2. 499-504.

      Juszczak, R., Lesny, J., Olejnik, J., Jakubiak, B., and Friesland, H. 2005. Agrometerologicczny system wspomagania decyzji w organizacji pracgospodarstw rolnych w wielkopolsce - etap pierwszy tworzenia serwisu. [Agrometeorological decision system supporting farm management in the Wielkopolska region - first step of service development.] Woda-Srodowisko-Obszary Wiejskie [Water-Environment-Rural Areas], 5(2), S. 157-173.

      Kersebaum, K.C., Friesland, H., Lpmeier, F.J. 2005. Comparison of three irrigation models under German conditions. In: G. Maracchi et al. (ed.): Irrigation and pest and disease models: Evaluation in different environments and web-based applications. COST 718 report, European Commission. S. 16-25.

      Leinhos, G., KLante, B., Laun, N., Lpmeier, F.J. 2005. Umsetzung des Wetter gesttzten Prognisemodells ZWIPERPO in Kontrollstrategien fr Peronospora destructor an Zwiebeln. 42. Gartenbauwissenschaftliche Tagung, Geisenheim, 23-26 Feb 2005.

      Lopmeier, F.J. 2005. Die agrarmeteorologiche Situation im Jahr 2004. In: DWD Hrsg. Klimastatusbericht 2004. Selbstverlag Offenbach, S. 106-114.

      Orlandini, S., Dalla Marta, A., Friesland, H., Susnik, A. 2005. Description and testing of PLASMO model for the simulation of grapevine downy mildew. In: G. Maracchi et al. (ed.): Irrigation and pest and disease models: Evaluation in different environments and web-based applications. COST 718 report, European Commission. S. 140-149.

      Wittich, K. P. and Lex, P. 2005. Legende oder Realitt? Waldbrnde durch Glasflaschen? AFZ - Der Wald, 12/2005 S. 625-626.

      Wittich, K. P. 2005. A single-layer litter-moisture model for estimating forest-fire danger. Meteorologische Zeitschrift, 14(2), S. 157-164.

      Wittich, K. P. 2005. LEAFWET - a simple calculation scheme for the leaf-wetness duration on the top of an orchard. In: G. Maracchi et al. (ed.): Irrigation and pest and disease models: Evaluation in different environments and web-based applications. COST 718 report, European Commission. S. 76-83.
↑ back to top