Research Themes
  Feature Project -
Soybean Rust
    IAMS
    Ensemble Forecasting
    Historical Risk Assessment
    Epidemiology
    Spore Exposure
    Canopy Escape
    Spore Deposition
    Infection Timeline
    Spore Trapping
    PIPE
  Ragweed
    International Collaboration
    Forecasting Model
    Discussion Group
    Bibliography
  UG99 - TKKS
Wheat Stem Rust
  Pest Detection
    Citrus Greening
    Grasshopper
Facilities
Personnel
Publications
Links
Home
 
 
 
Contact:
Annalisa Ariatti
International Collaboration for Forecasting ragweed Pollen
 
Ah--choo! Ah--choo! Does ragweed grow in your yard? The plant may be pretty and not bother you, but its pollen could give your neighbors hay fever. Ragweed (Ambrosia artemisiifolia) represents a major public health concern in Europe and North America. Because ragweed pollen is very easily transported by wind, many aerobiologists measure it regularly, even where the plants do not grow nearby in high quantities. The important impact of transported ragweed pollen on human health makes it a very suitable candidate for a pollen forecasting system. Maybe you already know the Soybean rust forecast model which Scott Isard and his partners have developed and are operating daily (http://sbrusa.net/ and http://www.ceal.psu.edu/feature.htm).

Our goal is to forge an international collaboration among aerobiologists to build and operate an Internet-based platform to forecast aerial concentration of ragweed pollen in Europe and North America. Output from the final model will be available for all aerobiologists to use.

Ragweed photo: acw.admin.ch

Specific Objectives

1. Develop a predictive model of ragweed phenological development that is applicable in both Europe and North America.

2. Calibrate the model using phenological observations from sites throughout Europe and North America.

3. Develop a restricted access website where participants can conveniently view model simulations and corresponding observations.

4. Build and link a simple aerobiological transport module to the phenological model to predict seasonal movements of ragweed pollen within the European and North American continents.

We invite you to participate in this international collaboration. Currently the project is not funded and therefore is based on the work of volunteers. The project is being coordinated by Regula Gehrig (MeteoSwiss), Scott Isard and Annalisa Ariatti (Pennsylvania State University). ZedX Inc., a small Information Technology company in Bellefonte, Pennsylvania that worked with Scott Isard on the Soybean rust forecasting system, is contributing the programming, databasing, and operational support for the project.

 
Research Themes|Facilities |Personnel |Publications |Links |Home | Last Modified: August 30, 2007