Arrows Phenology & weather modeling tools

   

Predictive Tools for Informed Decisions

Since 1996, the Oregon IPM Center has been developing and maintaining a weather and climate driven decision support website to aid pest management and related agricultural needs.  Using weather data from over 29,000 weather stations from 100s of weather networks, we now host nearly 150 predictive pest and disease models to help growers know when and where to act. 

Pest & Weather Modeling Tools

USPest.org, hosted by the Oregon IPM Center, contains a number of tools to help you obtain your IPM goals, including:

  • Degree-Day Phenology Tools  –  Use these tools to predict key life stages for insect pests, weeds and diseases based on local weather parameters.
  • Risk Maps and Alerts  –  Find maps to better schedule monitoring and management actions, optimize biological control, and predict potential impacts on agricultural production.

  • Degree-Day Mapping Tools & Weather Data   –  Create regional and statewide maps with custom degree-day parameters, or find the accumulated degree-days for the Pacific Northwest at a glance.

Find links to specific resources below, or head directly to USPest.org:
New to degree day modeling? Find useful videos and resources here:

Weather Database

Our tools are largely based on weather data which is public and free for non-profit use as supplied by the Utah MesoWest system. There is no singular state-run agricultural weather network for the state of Oregon at this time, and Oregon IPM Center has no actual weather station hardware maintenance to perform. We also custom-integrate several agricultural weather networks that are not part of Mesowest.  This is undertaken by participating and cooperating networks, including:

 

AGRIMET (Bureau of Reclamation, US Dept. of the Interior), AgWeatherNET (Washington State University), ADCON (A private weather station hardware manufacturer), CIMIS (California Irrigation Management Information System), California PestCast (Univ. California crop disease management network), ASOS/METAR (Automated Surface Observing System, using METAR formatted data), RAWS (Remote Automated Weather Station, run by several US Federal Agencies), APRSWXNET/CWOP (Automatic Position Reporting System Weather Network/Citizen Weather Observer Program).

Degree-Day Phenology Tools

Tools to predict key life stages for insect pests, weeds and diseases based on local weather parameters.

Online Phenology & Degree-Day Calculator

Predict key life stages for numerous insect pests, weeds, and diseases to increase the effectiveness of your management activities.

A full list of our over 140 models can be found here.

 

PUSH Notifications

Receive email-alerts for pests of concern, were you are on your schedule.

MyPest

Find all models for your industry and location, as well as a soil solarization model, located in one tool.

Risk Maps & Alerts

Find maps and alerts to better schedule monitoring and management actions, optimize biological control, and predict potential impacts on agricultural production

Risk Maps

Find online-risk maps for a number of pests:

Boxwood Blight                 

Fire Blight                 

Tomato Black Mold                 

Tomato-Potato Smith Late Blight                 

Degree-Days, Risk, and Phenological event mapping (DDRP)

Find an open-source and easy to parameterize decision support tool to help detect new invasive threats.  Run in R.

Degree-day Mapping Tools
& Weather Data

Create regional and statewide maps with custom degree-day parameters, or find the accumulated degree-days for the Pacific Northwest at a glance.

US degree-day mapping calculator

This advanced tool allows users to create regional and statewide maps with user-specified minimum and maximum thresholds, from 2002 to the present. 

PNW Accumulated Degree-Days "at-a-glance"

Find a quick reference table showing accumulated degree-days for select stations throughout the Pacific Northwest using pre-set parameters.

Weather Data

Calculate and map accumulated degree days for any station within our network (table form)