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Mean_Max_Temperature_WFL1 (FeatureServer)

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Service Description: Mean maximum daily temperature is simulated using a grid over the state. The mean daily maximum temperature for the selected season is computed at each grid cell. The statewide seasonal mean is calculated by averaging these grid cell values over the whole state. Temperature modeled under conditions of the International Panel on Climate Change (IPCC) representative concentration pathway (RCP) 4.5 and 8.5.

Service ItemId: 583fdc9b03cd4dee90090026608d5f85

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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Layers:

Description:

Maximum temperature serves as one measure of comfort and safety for people and for the health of plants and animals. When maximum temperature exceeds particular thresholds, people can become ill and transportation and energy infrastructure may be stressed.

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).

Note the historical period of 1991-2020 is climate model data and not based solely on observed temperature measurements. The future 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