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Item Identification
Keywords
Physical Location
Data Set Info
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Spatial Info
Access Info
Distribution Info
Archive Info
URLs
Data Quality
Data Management
Acquisition Info
Related Items
Catalog Details

Summary

Browse Graphic: NCCOS

Short Citation
National Centers for Coastal Ocean Science, 2025: NCCOS Assessment: A Community Risk Assessment of Flooding and Heat Hazards in Baltimore, MD, https://www.fisheries.noaa.gov/inport/item/75313.
Full Citation Examples

DOI: https://doi.org/10.7910/DVN/HZDQEF

Abstract

This dataset includes census block group level component scores of various indices from the National Centers for Coastal Ocean Science (NCCOS) Community Risk Assessment of Flooding and Heat Hazards in Baltimore, MD. Indices included in this archived dataset include SoVI(R), ecosystem services valuation, structural exposure, urban heat hazard, and flood hazard. Each component score is aggregated to the block group level geography provided by the U.S. Census Bureau. Additionally, intermediary raster-based datasets on stormwater flooding hazard are provided, as well as spatial data on wetlands and protected areas. This assessment uses a geospatial, indicator-driven approach to integrate data from a variety of sources related to community risk in Baltimore, MD and the surrounding 5 counties of Baltimore, Harford, Howard, Anne Arundel, and Queen Anne's. SoVI(R) was derived from Census data and applied to each block group. Stormwater flooding potential was calculated using an application of the "FIGUSED" methodology based on locally relevant datasets. This methodology incorporates seven indicators frequently used to identify areas of high flooding potential. These indicators are: "F" = flow accumulation, "I" = rainfall intensity, "G" = geology (hydrologic soil groups), "U" = land use, "S" = slope, "E" = elevation, and "D" = distance from the drainage network. For each of these indicators, a value of 1 corresponds to higher flood potential, while values closer to zero (or null) correspond to lower flood potential. The final raster dataset ranges from 0-7, and all data were resampled to a 30 meter resolution grid and also applied to each block group. A structural exposure index was calculated by aggregating each contributing indicator to the block group. An ecosystem service value index was created by averaging a total ecosystem service valuation model across each block group. Sea level rise projections and storm surge estimates from the National Oceanic Atmospheric Administration were calculated at the block group level. An urban heat index was derived using a combination of sensor data from Johns Hopkins University (for Baltimore City) and remotely sensed data, in conjunction with land use/land cover data, for suburban and rural areas. Both raster and block group aggregations are available. Additionally, data on wetland extent and protected areas are included in the archival package.

Distribution Information

  • ESRI File Geodatabase, 1.94GB, 311 files

    Freitag, Amy; Auerswald, Katherine; Pope, Bria; Regan, Seann; Sudol, Taryn, 2025, "NCCOS Assessment: A Community Risk Assessment of Flooding and Heat Hazards in Baltimore, MD, 2023-06-01 to 2025-09-30", Harvard Dataverse. https://doi.org/10.7910/DVN/HZDQEF

Access Constraints:

None

Use Constraints:

None

Controlled Theme Keywords

EARTH SCIENCE, SOCIOECONOMICS

Child Items

No Child Items for this record.

Contact Information

Point of Contact
NCCOS Scientific Data Coordinator
NCCOS.data@noaa.gov

Metadata Contact
NCCOS Scientific Data Coordinator
NCCOS.data@noaa.gov

Metadata Contact
Amanda Alva
amanda.alva@noaa.gov

Extents

Geographic Area 1

-77.18803° W, -75.737639° E, 39.723687° N, 38.706644° S

Time Frame 1
2023-06 - 2025-03

Item Identification

Title: NCCOS Assessment: A Community Risk Assessment of Flooding and Heat Hazards in Baltimore, MD
Status: Completed
Creation Date: 2023
Publication Date: 2025
Abstract:

This dataset includes census block group level component scores of various indices from the National Centers for Coastal Ocean Science (NCCOS) Community Risk Assessment of Flooding and Heat Hazards in Baltimore, MD. Indices included in this archived dataset include SoVI(R), ecosystem services valuation, structural exposure, urban heat hazard, and flood hazard. Each component score is aggregated to the block group level geography provided by the U.S. Census Bureau. Additionally, intermediary raster-based datasets on stormwater flooding hazard are provided, as well as spatial data on wetlands and protected areas. This assessment uses a geospatial, indicator-driven approach to integrate data from a variety of sources related to community risk in Baltimore, MD and the surrounding 5 counties of Baltimore, Harford, Howard, Anne Arundel, and Queen Anne's. SoVI(R) was derived from Census data and applied to each block group. Stormwater flooding potential was calculated using an application of the "FIGUSED" methodology based on locally relevant datasets. This methodology incorporates seven indicators frequently used to identify areas of high flooding potential. These indicators are: "F" = flow accumulation, "I" = rainfall intensity, "G" = geology (hydrologic soil groups), "U" = land use, "S" = slope, "E" = elevation, and "D" = distance from the drainage network. For each of these indicators, a value of 1 corresponds to higher flood potential, while values closer to zero (or null) correspond to lower flood potential. The final raster dataset ranges from 0-7, and all data were resampled to a 30 meter resolution grid and also applied to each block group. A structural exposure index was calculated by aggregating each contributing indicator to the block group. An ecosystem service value index was created by averaging a total ecosystem service valuation model across each block group. Sea level rise projections and storm surge estimates from the National Oceanic Atmospheric Administration were calculated at the block group level. An urban heat index was derived using a combination of sensor data from Johns Hopkins University (for Baltimore City) and remotely sensed data, in conjunction with land use/land cover data, for suburban and rural areas. Both raster and block group aggregations are available. Additionally, data on wetland extent and protected areas are included in the archival package.

Purpose:

Coastal communities are exposed to numerous climate-related hazards, all of which are projected to increase in intensity and frequency in the coming decades. The way these hazards are experienced depends on a variety of factors that make coping with and recovering from natural hazards more difficult for some communities than others. Maryland faces growing pressure from water hazards, including storm surge, sea level rise, and stormwater. With its extensive coastline, the Chesapeake Bay makes managing floodwaters a key priority moving forward. The varied and dense populations on the Western Shore mean that the intersection of multiple vulnerabilities and climate hazards presents a high risk of cascading and compounding hazard events.

Other Citation Details:

Freitag, Amy; Auerswald, Katherine; Pope, Bria; Regan, Seann; Sudol, Taryn, 2025, "NCCOS Assessment: A Community Risk Assessment of Flooding and Heat Hazards in Baltimore, MD, 2023-06-01 to 2025-09-30", https://doi.org/10.7910/DVN/HZDQEF, Harvard Dataverse, V1

DOI (Digital Object Identifier): https://doi.org/10.7910/DVN/HZDQEF
DOI Issue Date: 2025-03-26

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > HUMAN DIMENSIONS > SOCIOECONOMICS
UNCONTROLLED
NCCOS Keywords NCCOS Research Data Type > Derived Data Product
NCCOS Keywords NCCOS Research Priority > Social Science
NCCOS Keywords NCCOS Research Topic > Assessing Human Use
NCCOS Keywords NCCOS Research Topic > Assessing Vulnerability and Resilience

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
OCEAN > ATLANTIC OCEAN
UNCONTROLLED
NCCOS Keywords NCCOS Research Location > Region > Atlantic Ocean
NCCOS Keywords NCCOS Research Location > U.S. States and Territories > Maryland

Physical Location

Organization: National Centers for Coastal Ocean Science
City: Silver Spring
State/Province: MD

Data Set Information

Data Set Scope Code: Data Set
Data Set Type: Mixed: GIS shapefiles and CSV

Support Roles

Data Steward

CC ID: 1380539
Date Effective From: 2025-01-01
Date Effective To:
Contact (Person): Alva, Amanda
Email Address: amanda.alva@noaa.gov

Data Steward

CC ID: 1377576
Date Effective From: 2025
Date Effective To:
Contact (Position): NCCOS Scientific Data Coordinator
Email Address: NCCOS.data@noaa.gov

Distributor

CC ID: 1377577
Date Effective From: 2025
Date Effective To:
Contact (Organization): National Centers for Coastal Ocean Science (NCCOS)
Address: 1305 East West Highway, Rm 8110
Silver Spring, MD 20910
URL: http://coastalscience.noaa.gov/
Contact Instructions:

Distributor:

National Centers for Coastal Ocean Science (NCCOS), NCCOS.data@noaa.gov, 2025 to Present

Harvard Dataverse, 2025 to Present

Metadata Contact

CC ID: 1377578
Date Effective From: 2025
Date Effective To:
Contact (Position): NCCOS Scientific Data Coordinator
Email Address: NCCOS.data@noaa.gov

Metadata Contact

CC ID: 1377583
Date Effective From: 2025
Date Effective To:
Contact (Person): Alva, Amanda
Email Address: amanda.alva@noaa.gov
Contact Instructions:

Contact by email: amanda.alva@noaa.gov

Point of Contact

CC ID: 1377579
Date Effective From: 2025
Date Effective To:
Contact (Position): NCCOS Scientific Data Coordinator
Email Address: NCCOS.data@noaa.gov
Contact Instructions:

Point of Contact:

Amanda Alva, amanda.alva@noaa.gov, US DOC; NOAA; NOS; National Centers for Coastal Ocean Science (NCCOS), 2025 to present

NCCOS Data Manager, nccos.data@noaa.gov, US DOC; NOAA; NOS; National Centers for Coastal Ocean Science (NCCOS), 2025 to present

Principal Investigator

CC ID: 1377580
Date Effective From: 2025
Date Effective To:
Contact (Position): NCCOS Scientific Data Coordinator
Email Address: NCCOS.data@noaa.gov
Contact Instructions:

Principal Investigator:

Amy Freitag, US DOC; NOAA; NOS; National Centers for Coastal Ocean Science (NCCOS), Inc, 2025 to present

Collaborators:

Katherine Auerswald, US DOC; NOAA; NOS; National Centers for Coastal Ocean Science (NCCOS) and CSS, Inc

Bria Pope, Florida Agricultural and Mechanical University; NOAA Center for Coastal and Marine Ecosystems

Seann Regan, US DOC; NOAA; NOS; National Centers for Coastal Ocean Science (NCCOS) and CSS, Inc

Taryn Sudol, Maryland Sea Grant

Extents

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1377597
W° Bound: -77.18803
E° Bound: -75.737639
N° Bound: 39.723687
S° Bound: 38.706644

Extent Group 1 / Time Frame 1

CC ID: 1377596
Time Frame Type: Range
Start: 2023-06
End: 2025-03

Spatial Information

Reference Systems

Reference System 1

CC ID: 1378016

Coordinate Reference System

CRS Type: Projected
EPSG Code: EPSG:26985
EPSG Name: NAD83/Maryland
See Full Coordinate Reference System Information

Access Information

Data License: CC0-1.0
Data License URL: https://creativecommons.org/publicdomain/zero/1.0/
Data License Statement: These data were produced by NOAA and are not subject to copyright protection in the United States. NOAA waives any potential copyright and related rights in these data worldwide through the Creative Commons Zero 1.0 Universal Public Domain Dedication (CC0-1.0).
Security Class: Unclassified
Data Access Procedure:

Download from website

Data Access Constraints:

None

Data Use Constraints:

None

Distribution Information

Distribution 1

CC ID: 1377584
Start Date: 2025-01-15
End Date: Present
Download URL: https://doi.org/10.7910/DVN/HZDQEF
Distributor: National Centers for Coastal Ocean Science (NCCOS) (2025 - Present)
File Name: NCCOS RA MD
Description:

Freitag, Amy; Auerswald, Katherine; Pope, Bria; Regan, Seann; Sudol, Taryn, 2025, "NCCOS Assessment: A Community Risk Assessment of Flooding and Heat Hazards in Baltimore, MD, 2023-06-01 to 2025-09-30", Harvard Dataverse. https://doi.org/10.7910/DVN/HZDQEF

File Type (Deprecated): Multiple formats
Distribution Format: ESRI File Geodatabase
File Size: 1.94GB, 311 files
Application Version: ArcGIS Pro 3.4.0
Compression: Zip

Archive Information

multiple files

CC ID: 1377589
Location: Harvard Dataverse
File Identifier: multiple files
File Name: multiple files
URL: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/HZDQEF
Description:

Freitag, Amy; Auerswald, Katherine; Pope, Bria; Regan, Seann; Sudol, Taryn, 2025, "NCCOS Assessment: A Community Risk Assessment of Flooding and Heat Hazards in Baltimore, MD, 2023-06-01 to 2025-09-30", https://doi.org/10.7910/DVN/HZDQEF, Harvard Dataverse.

DOI: https://doi.org/10.7910/DVN/HZDQEF
Archive Update Frequency: None Planned

URLs

URL 1

CC ID: 1377586
URL: https://cdn.coastalscience.noaa.gov/csmedia/2023/10/NCCOS_tag_to_side_22hr.png
Name: Browse Graphic: NCCOS
URL Type:
Browse Graphic
Browse Graphic: NCCOS
Description:

Browse Graphic: NCCOS

URL 2

CC ID: 1377587
URL: https://coastalscience.noaa.gov/project/programmatic-execution-of-nccos-vulnerability-assessments/
Name: NCCOS Project Webpage: Programmatic Execution of NCCOS Community Risk Assessments
URL Type:
Online Resource
Description:

NCCOS Project Webpage: Programmatic Execution of NCCOS Community Risk Assessments

URL 3

CC ID: 1380538
URL: https://doi.org/10.7910/DVN/HZDQEF
Name: Freitag, Amy; Auerswald, Katherine; Pope, Bria; Regan, Seann; Sudol, Taryn, 2025, "NCCOS Assessment: A Community Risk Assessment of Flooding and Heat Hazards in Baltimore, MD, 2023-06-01 to 2025-09-30", https://doi.org/10.7910/DVN/HZDQEF, Harvard Dat
URL Type:
Online Resource
Description:

Harvard Dataverse dataset DOI

Data Quality

Completeness Report:

For details of data completeness, see Lineage Sources.

Quality Control Procedures Employed:

For details of data quality control methods, see Lineage Sources. All users should independently analyze the datasets according to their own needs and standards to determine data usability.

Data Management

Have Resources for Management of these Data Been Identified?: No
Approximate Percentage of Budget for these Data Devoted to Data Management: Unknown
Do these Data Comply with the Data Access Directive?: Yes
Is Access to the Data Limited Based on an Approved Waiver?: No
Approximate Delay Between Data Collection and Dissemination: Six months
Actual or Planned Long-Term Data Archive Location: Other
If World Data Center or Other, Specify: Harvard Dataverse
Approximate Delay Between Data Collection and Archiving: Six months
How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive?:

NCCOS IT Policy

Acquisition Information

Instruments

Instrument Unavailable Reason: Not Applicable

Platforms

Platform Unavailable Reason: Not Applicable

Related Items

Item Type Relationship Type Title
Data Set (DS) Series NCCOS Assessment: Community Assessment to Flood Hazard in the United States Virgin Islands, 2023-01-01 to 2024-08-30

Community Risk Portfolio

Catalog Details

Catalog Item ID: 75313
GUID: gov.noaa.nmfs.inport:75313
Metadata Record Created By: Amanda Alva
Metadata Record Created: 2025-03-21 16:13+0000
Metadata Record Last Modified By: Brianna Key
Metadata Record Last Modified: 2025-04-18 21:31+0000
Metadata Record Published: 2025-04-18
Owner Org: NCCOS
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2025-04-18
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2026-04-18