NYC Climate Budgeting Report: Resiliency Exposure Forecast - Outdoor Heat

95zn-7w5fEnvironment8 columns

The Resiliency Exposure Forecast for Outdoor Heat serves as an effort to evaluate the scope of planned adaption initiatives and their potential to reduce exposure to increasing temperatures in future decades. The Outdoor Heat Forecast projects temperatures across city neighborhoods using an urban heat flux model. This is broken into two main subsections: 1) a Control Scenario to determine future neighborhood-level temperature in the absence of new adaptation interventions and progress, and 2) a Planned Action Scenario to determine how tree canopy expansion could change heat profiles compared to the Control Scenario. This dataset defines the Planned Actions as tree canopy growth being maintained across jurisdictions, which requires efforts by private and public landowners, and being expanded through the NYC Parks Department’s Neighborhood Tree Planting Program. This is based on data from the Neighborhood Tree Planting Program plans, Land Cover raster data from the city's Light Detection and Ranging (LiDAR) assessments, and the Surface Urban Energy and Water Balance Scheme (SUEWS) tool. Temperature projections should only be compared to the baseline for this exercise, and not other models, as they hold separate assumptions that this evaluation may not account for. The overarching measure is the amount of extreme heat by the 2050s that is managed by projected tree canopy expansion. For more information on the components of the data set, please visit OMB's Technical Appendix for the FY 2026 Climate Budgeting Publication. https://www.nyc.gov/assets/omb/downloads/pdf/exec25/exec25-nyccbta.pdf

View on NYC Open Data

Quality

A90.4 / 100

From a 262-row sample across 8 columns.

completeness100/ 25% weight

consistency69/ 20% weight

accuracy92/ 20% weight

timeliness89/ 15% weight

usability100/ 20% weight

· Has geographic keys — joinable to other NYC datasets

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Geography

Has nta codes (`nta_name`) — joinable, but needs boundary shapes to draw.

Sample rows

publication_date	nta_code	nta_name	ntaabbrev	baseline	control_scenario_temperature	planned_action_temperature	percent_managed_by_action
2025-05-01T00:00:00.000	BK0101	Greenpoint	Grnpt	87.31	93.72	93.53	-2.96
2025-05-01T00:00:00.000	BK0102	Williamsburg	Wllmsbrg	87.37	93.79	93.59	-3.15

Columns

8 queryable · 8 profiled

The machine field names SoQL needs, with the publisher's own description of each.

Field	Type	Description	Null	Values
`publication_date`	datetime	Date data released	0%	`2025-05-01T00:00:00.000`of 1
`nta_code`	text	NTA code based on the NYC Department of City Planning's (DCP) 2020 statistical geometries.	0%	`BX0102BK0802BK1893`
`nta_name`	text	Full NTA name based on the NYC Department of City Planning's (DCP) 2020 statistical geometries.	0%	`Highbridge ParkPelham Bay-Country Club-…Cypress Hills`
`ntaabbrev`	text	Abbreviated NTA name based on the NYC Department of City Planning's (DCP) 2020 statistical geometries.	0%

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