Agriculture
The North Carolina State Climate Office works closely with NC State Extension and the larger N.C. Cooperative Extension System to provide science-based climate resources to our agricultural partners across the state. Examples of outputs of these collaborations include outreach on North Carolina’s climate and climate change impacts (check out these online tutorials and our deep-dive webinar series), online tools that integrate climate data for various agricultural applications and decisions, and original research.
Browse our recent activity reports to see what we’ve been up to!
Pre-and Within-Season Decision Support Tools
Peanut Frost Advisory Tool
View guidance for potential frost and freeze conditions forecasted across NC, SC, and GA
Freeze Date Explorer
View historical first and last seasonal freeze dates for weather stations across North Carolina
Climate Dashboard for NC Corn Growers
Explore seasonal predictions for corn development based on forecasted and historic temperature data
Growing Degree Day Explorer
Explore growing degree days for user-input base temperatures using forecasted and historic temperature data
Chill Models for North Carolina
View chilling hour accumulations and predictions for various fruit models
Tobacco Thrips Flight and TSWV Intensity Predictor
Estimate seasonal insect vector and disease incidence in tobacco and view guidance on pesticide application
Cotton Planting Conditions Calculator
Estimate the suitability of forecasted weather conditions for planting cotton
Cotton Thrips Infestation Predictor
Estimate end-of-season thrips infestation in cotton based on planting date and historical weather data
ECONet Inversion Monitoring Tool
Guide to help determine favorable spray conditions using the NC ECONet.
Longer-Term and Climate Change Decision Support Tools
PINEMAP DSS
This tool is retired.
Similar tools are listed here
View climate-based future risks and opportunities for loblolly pine forests in the Southeast US
Climate Voyager
This tool is retired.
Similar tools are listed here
Investigate projected changes in climate variables using data from a suite of downscaled global climate models