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Growing_Degree_Days_WFL1 (FeatureServer)

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Service Description: The number of growing degree days per year is used to estimate the growth and development of plants (or insects) during the growing season. Higher numbers of growing-degree days indicate longer and warmer growing conditions. As growth occurs only when temperature exceeds a species’ base temperature (for example, 50°F), the number of days times the number of degrees above the base indicates the duration and magnitude of growing conditions. Mean Growing Degree Days are simulated using a grid over the state. The mean growing degree days for the selected season are computed at each grid cell. The statewide seasonal mean is calculated by averaging these grid cell values over the whole state.

Service ItemId: 891967343dca414983ba866c0a33226a

Has Versioned Data: false

Max Record Count: 2000

Supported query Formats: JSON

Supports applyEdits with GlobalIds: False

Supports Shared Templates: True

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Description:

Growing degree days (GDD) quantify the heat accumulation that plants and insects experience over the growing season. Heat accumulation drives plant and insect growth, crop development, and the timing of other physiological processes such as flowering. Here they are presented at the seasonal (winter, spring, summer, fall) scale. The GDD for a single day are calculated as the mean daily temperature minus 50°F. So, a daily mean temperature of 65°F yields 15 GDD. 50°F is a commonly used as a basis for the GDD calculation as it represents the minimum temperature threshold for growth in multiple crops (e.g. corn and soybeans). In this tool, the GDD for each day is totaled across a season, and negative GDD values are not incorporated because GDD are only meant to quantify the time and intensity of temperatures above 50°F that drive plant and insect growth.

Climate observations and projection data provided by the Northeast Regional Climate Center at Cornell University through their Applied Climate Information System (ACIS, rcc-acis.org). The Localized Constructed Analog downscaling projections were obtained from the Scripps Institution of Oceanography (https://loca.ucsd.edu). Time periods are simulated using greenhouse gas emissions scenarios RCP 4.5 (moderate emissions) and RCP 8.5 (high emissions). The modeled data have been extracted from the U.S. National Oceanic and Atmospheric Administration's Applied Climate Information System and localized to New Jersey.

The Applied Climate Information System (ACIS) was developed and is maintained by the NOAA Regional Climate Centers (RCCs). It was designed to manage the complex flow of information from climate data collectors to the end users of climate data information. The main purpose of ACIS is to alleviate the burden of climate information management for people who use climate information to make management decisions.



Copyright Text: Rutgers NJAES Office of Research Analytics, Northeast Regional Climate Center at Cornell University, the U.S. National Oceanic and Atmospheric Administration, Scripps Institution of Oceanography

Spatial Reference: 102100 (3857)

Initial Extent:
Full Extent:
Units: esriMeters

Child Resources:   Info   SharedTemplates

Supported Operations:   Query   ConvertFormat   Get Estimates