Description:The map provided shows the Martin County Storm Surge Evacuation Zones Map Book/Grid.Instructions:View and or print the Map Download to open/download the PDF to view the map.Download:Click here for PDF Download

The storm surge zones data used in this application were generated using the Sea, Lake, and Overland Surges from Hurricanes (SLOSH) model. SLOSH is a computerized model run by the National Weather Service to estimate storm surge heights resulting from historical, hypothetical, or predicted hurricanes. The model creates its estimates by assessing the pressure, size, forward speed, track, and wind data from a storm. Graphical output from the model displays color-coded storm surge heights for a particular area. The calculations are applied to a specific locale's shoreline, incorporating the unique bay and river configurations, water depths, bridges, roads, and other physical features. This file is generated as part of the Hazards Analysis within the Hurricane Evacuation Study for the Maryland Western Shore.

This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.

Tropical Cyclone Tracks Dataset

Historical Tropical Storm Tracks Dataset

By Homeland Infrastructure Foundation [source]

About this dataset

Each entry in the dataset contains various attributes such as the year, month, and day on which a tropical cyclone occurred. The dataset also provides the UTC time at which each cyclone was recorded. Furthermore, it specifies the name given to each storm for easier identification.

Geographical information is a prominent feature of this dataset, as it includes latitude and longitude coordinates for pinpointing the exact center of a cyclone. Additionally, basin categorization helps distinguish whether a storm took place in the North Atlantic or Eastern North Pacific region.

Measurements related to wind speed are also included. The maximum sustained wind speed is expressed in knots (nautical miles per hour). Meanwhile, pressure readings provide insights into the minimum central pressure of each tropical cyclone measured in millibars.

The Saffir-Simpson Hurricane Wind Scale is implemented to classify storms into different categories based on their strength and potential impact. These categories are indicated within the dataset records using textual labels.

For analysis or visualization purposes at national or large regional scales, this historical dataset can be utilized effectively due to its accurate spatial representation. With data collected at 6-hour intervals throughout each day (at 0000, 0600, 1200 UTC), researchers can conduct detailed studies regarding past tropical depressions/storms variations across time periods spanning more than one-and-a-half centuries.

How to use the dataset

• Understand the Columns:

  • YEAR: The year in which the tropical cyclone occurred.
  • MONTH: The month in which the tropical cyclone occurred.
  • DAY: The day of the month on which the tropical cyclone occurred.
  • AD_TIME: The time of day in UTC at which the tropical cyclone was recorded.
  • NAME: The name given to the tropical cyclone.
  • LAT: The latitude coordinate of the center of the tropical cyclone.
  • LONG: The longitude coordinate of thhe center of tthe tropicall cycloonne..
  • WIND_KTS:: TThe maximum sustained wind speed oof tthe tropiccal cycloonne iin knots.. PRESSURE:: Thhe miniimum centtral pressuree off tthe trropiical cyclone iin milliibars.. CAT:: TThe categgory off tthe tropiicall cyclone bassed onn tthe Saffir-Siimpson Hurrrcane Wiind Scallee.. BASIN:: Thhe basinn iin whhich tthe troppiicaal cyccloonne occurrreed (Norrtth Atlanttiicc orastersndPaciifiic). Shape_Leng:lengthtthh ooff hteehshaapeeooftt heetropicalcytcntracckkKey thingsfot yOpauthorsowningthemhirsitary mousdrop~~ooverakeofnatpngcpompilieintrustioanringstlrednngldtstcsste615kg++ddset, ptgurpmnciicrogn As you can see, this dataset consists of various features that provide information about tropical cyclones such as their coordinates, wind speed, pressure, category, and basin.

• Analyze the Tracks:

  • Use the latitude (LAT) and longitude (LONG) coordinates to visualize the paths of tropical cyclones on a map or plot them on different geographical regions.

• Explore Intensity:

  • The maximum sustained wind speed (W

Research Ideas

• Analyzing trends and patterns: This dataset can be used to analyze the trends and patterns of tropical cyclones in the North Atlantic and Eastern North Pacific regions over a long period of time. Researchers can examine the frequency, intensity, and tracks of storms to identify any long-term changes or variations.
• Climate change research: By studying the historical tracks of tropical cyclones in this dataset, researchers can assess how climate change might be impacting storm behavior. They can look for shifts in storm distribution, changes in intensity, or variations in storm tracks that could be attributed to climate change.
• Disaster preparedness and planning: Government agencies or organizations involved in disaster preparedness can utilize this dataset to assess the vulnerability of specific regions along the North Atlantic and Eastern North Pacific coastlines. The data can help identify high-risk areas based on historical storm activity, allowing for better planning of evacuation routes, infrastructure development, and emergency response strategies

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redis...

[Metadata] Tropical storms, hurricanes, and tsunamis create waves that flood low-lying coastal areas. The National Flood Insurance Program (NFIP) produces flood insurance rate maps (FIRMs) that depict flood risk zones referred to as Special Flood Hazard Areas (SFHA) based modeling 1%-annual-chance flood event also referred to as a 100-year flood. The purpose of the FIRM is twofold: (1) to provide the basis for application of regulatory standards and (2) to provide the basis for insurance rating.SFHAs identify areas at risk from infrequent but severe storm-induced wave events and riverine flood events that are based upon historical record. By law (44 Code of Federal Regulations [CFR] 60.3), FEMA can only map flood risk that will be utilized for land use regulation or insurance rating based on historical data, therefore, future conditions with sea level rise and other impacts of climate change are not considered in FIRMs. It is important to note that FEMA can produce Flood Insurance Rate Maps that include future condition floodplains, but these would be considered “awareness” zones and not to be used for regulatory of insurance rating purposes.The State of Hawai‘i 2018 Hazard Mitigation Plan incorporated the results of modeling and an assessment of vulnerability to coastal flooding from storm-induced wave events with sea level rise (Tetra Tech Inc., 2018). The 1% annual-chance-coastal flood zone with sea level rise (1%CFZ) was modeled to estimate coastal flood extents and wave heights for wave-generating events with sea level rise. Modeling was conducted by Sobis Inc. under State of Hawaiʻi Department of Land and Natural Resources Contract No: 64064. The 1%CFZ with 3.2 feet of sea level rise was utilized to assess vulnerability to coastal event-based flooding in mid to - late century.The 1%CFZ with sea level rise would greatly expand the impacts from a 100-year flood event meaning that more coastal land area will be exposed to damaging waves. For example, over 120 critical infrastructure facilities in the City and County of Honolulu, including water, waste, and wastewater systems and communication and energy facilities would be impacted in the 1%CFZ with 3.2 feet of sea level rise (Tetra Tech Inc., 2018). This is double the number of facilities in the SFHA which includes the impacts of riverine flooding.A simplified version of the Wave Height Analysis for Flood Insurance Studies (WHAFIS) extension (FEMA, 2019b) included in Hazus-MH, was used to create the 1% annual chance coastal floodplain. Hazus is a nationally applicable standardized methodology that contains models for estimating potential losses from earthquakes, floods, tsunamis, and hurricanes (FEMA, 2019a). The current 1%-annual-chance stillwater elevations were collected using the most current flood insurance studies (FIS) for each island conducted by FEMA (FEMA, 2004, 2010, 2014, 2015). The FIS calculates the 1%-annual-chance stillwater elevation, wave setup, and wave run-up (called maximum wave crest) at regularly-spaced transects around the islands based on historical data. Modeling for the 1%CFZ used the NOAA 3-meter digital elevation model (DEM) which incorporates LiDAR data sets collected between 2003 and 2007 from NOAA, FEMA, the State of Hawaiʻi Emergency Management Agency, and the USACE (NOAA National Centers for Environmental Information, 2017).Before Hazus was run for future conditions, it was run for the current conditions and compared to the FEMA regulatory floodplain to determine model accuracy. This also helped determine the stillwater elevation for the large gaps between some transects in the FIS. Hazus was run at 0.5-foot stillwater level intervals and the results were compared to the existing Flood Insurance Rate Map (FIRM). The interval of 0.5-feet was chosen as a small enough step to result in a near approximation of the FIRM while not being too impractically narrow to require the testing of dozens of input elevations. The elevation which matched up best was used as the current base flood elevation.Key steps in modeling the projected 1%CFZ with sea level rise include: (1) generating a contiguous (no gaps along the shoreline) and present-day 1%-annual-chance stillwater elevation based on the most recent FIS, (2) elevating the present-day 1%-annual-chance stillwater elevation by adding projected sea level rise heights, and (3) modeling the projected 1%-annual-chance coastal flood with sea level rise in HAZUS using the 1%-annual-chance wave setup and run-up from the FIS. The 1%CFZ extent and depth was generated using the HAZUS 3.2 coastal flood risk assessment model, 3-meter DEM, the FIS for each island, and the IPCC AR5 upper sea level projection for RCP 8.5 scenario for 0.6 feet, 1.0 feet, 2.0 feet, and 3.2 feet of sea level rise above MHHW (IPCC, 2014). The HAZUS output includes the estimated spatial extent of coastal flooding as well as an estimated flood depth map grid for the four sea level rise projections.Using the current floodplain generated with Hazus, the projected 1%-annual-chance stillwater elevation was generated using the four sea level rise projections. This stillwater elevation with sea level rise was used as a basis for modeling. The projected 1%-annual coastal flood with sea level rise was modeled in Hazus using the current 1%-annual-chance wave setup and run-up from the FIS and the projected 1%-annual-chance stillwater elevation with sea level rise. Statewide GIS Program staff extracted individual island layers for ease of downloading. A statewide layer is also available as a REST service, and is available for download from the Statewide GIS geoportal at https://geoportal.hawaii.gov/, or at the Program's legacy download site at https://planning.hawaii.gov/gis/download-gis-data-expanded/#009. For additional information, please refer to summary metadata at https://files.hawaii.gov/dbedt/op/gis/data/coastal_flood_zones_summary.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov.

This interactive mapping application easily searches and displays global tropical cyclone data. Users are able to query storms by the storm name, geographic region, or latitude/longitude coordinates. Custom queries can track storms of interest and allow for data extraction and download.

[Metadata] Tropical storms, hurricanes, and tsunamis create waves that flood low-lying coastal areas. The National Flood Insurance Program (NFIP) produces flood insurance rate maps (FIRMs) that depict flood risk zones referred to as Special Flood Hazard Areas (SFHA) based modeling 1%-annual-chance flood event also referred to as a 100-year flood. The purpose of the FIRM is twofold: (1) to provide the basis for application of regulatory standards and (2) to provide the basis for insurance rating.SFHAs identify areas at risk from infrequent but severe storm-induced wave events and riverine flood events that are based upon historical record. By law (44 Code of Federal Regulations [CFR] 60.3), FEMA can only map flood risk that will be utilized for land use regulation or insurance rating based on historical data, therefore, future conditions with sea level rise and other impacts of climate change are not considered in FIRMs. It is important to note that FEMA can produce Flood Insurance Rate Maps that include future condition floodplains, but these would be considered “awareness” zones and not to be used for regulatory of insurance rating purposes.The State of Hawai‘i 2018 Hazard Mitigation Plan incorporated the results of modeling and an assessment of vulnerability to coastal flooding from storm-induced wave events with sea level rise (Tetra Tech Inc., 2018). The 1% annual-chance-coastal flood zone with sea level rise (1%CFZ) was modeled to estimate coastal flood extents and wave heights for wave-generating events with sea level rise. Modeling was conducted by Sobis Inc. under State of Hawaiʻi Department of Land and Natural Resources Contract No: 64064. The 1%CFZ with 3.2 feet of sea level rise was utilized to assess vulnerability to coastal event-based flooding in mid to - late century.The 1%CFZ with sea level rise would greatly expand the impacts from a 100-year flood event meaning that more coastal land area will be exposed to damaging waves. For example, over 120 critical infrastructure facilities in the City and County of Honolulu, including water, waste, and wastewater systems and communication and energy facilities would be impacted in the 1%CFZ with 3.2 feet of sea level rise (Tetra Tech Inc., 2018). This is double the number of facilities in the SFHA which includes the impacts of riverine flooding.A simplified version of the Wave Height Analysis for Flood Insurance Studies (WHAFIS) extension (FEMA, 2019b) included in Hazus-MH, was used to create the 1% annual chance coastal floodplain. Hazus is a nationally applicable standardized methodology that contains models for estimating potential losses from earthquakes, floods, tsunamis, and hurricanes (FEMA, 2019a). The current 1%-annual-chance stillwater elevations were collected using the most current flood insurance studies (FIS) for each island conducted by FEMA (FEMA, 2004, 2010, 2014, 2015). The FIS calculates the 1%-annual-chance stillwater elevation, wave setup, and wave run-up (called maximum wave crest) at regularly-spaced transects around the islands based on historical data. Modeling for the 1%CFZ used the NOAA 3-meter digital elevation model (DEM) which incorporates LiDAR data sets collected between 2003 and 2007 from NOAA, FEMA, the State of Hawaiʻi Emergency Management Agency, and the USACE (NOAA National Centers for Environmental Information, 2017).Before Hazus was run for future conditions, it was run for the current conditions and compared to the FEMA regulatory floodplain to determine model accuracy. This also helped determine the stillwater elevation for the large gaps between some transects in the FIS. Hazus was run at 0.5-foot stillwater level intervals and the results were compared to the existing Flood Insurance Rate Map (FIRM). The interval of 0.5-feet was chosen as a small enough step to result in a near approximation of the FIRM while not being too impractically narrow to require the testing of dozens of input elevations. The elevation which matched up best was used as the current base flood elevation.Key steps in modeling the projected 1%CFZ with sea level rise include: (1) generating a contiguous (no gaps along the shoreline) and present-day 1%-annual-chance stillwater elevation based on the most recent FIS, (2) elevating the present-day 1%-annual-chance stillwater elevation by adding projected sea level rise heights, and (3) modeling the projected 1%-annual-chance coastal flood with sea level rise in HAZUS using the 1%-annual-chance wave setup and run-up from the FIS. The 1%CFZ extent and depth was generated using the HAZUS 3.2 coastal flood risk assessment model, 3-meter DEM, the FIS for each island, and the IPCC AR5 upper sea level projection for RCP 8.5 scenario for 0.6 feet, 1.0 feet, 2.0 feet, and 3.2 feet of sea level rise above MHHW (IPCC, 2014). The HAZUS output includes the estimated spatial extent of coastal flooding as well as an estimated flood depth map grid for the four sea level rise projections.Using the current floodplain generated with Hazus, the projected 1%-annual-chance stillwater elevation was generated using the four sea level rise projections. This stillwater elevation with sea level rise was used as a basis for modeling. The projected 1%-annual coastal flood with sea level rise was modeled in Hazus using the current 1%-annual-chance wave setup and run-up from the FIS and the projected 1%-annual-chance stillwater elevation with sea level rise. Statewide GIS Program staff extracted individual island layers for ease of downloading. A statewide layer is also available as a REST service, and is available for download from the Statewide GIS geoportal at https://geoportal.hawaii.gov/, or at the Program's legacy download site at https://planning.hawaii.gov/gis/download-gis-data-expanded/#009. For additional information, please refer to summary metadata at https://files.hawaii.gov/dbedt/op/gis/data/coastal_flood_zones_summary.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov.

[Superseded]This dataset is a single layer from [Superseded] City Plan 2014 – v17.00–2019 collection. Not all layers were updated in this amendment, for more information on past Adopted City Plan amendments.This feature class is shown on the Coastal hazard overlay map (map reference: OM-003.1).This feature class includes the following sub-categories:(a) High storm-tide inundation area sub-category;(b) Medium storm-tide inundation area sub-category.For information about the overlay and how it …Show full description[Superseded]This dataset is a single layer from [Superseded] City Plan 2014 – v17.00–2019 collection. Not all layers were updated in this amendment, for more information on past Adopted City Plan amendments.This feature class is shown on the Coastal hazard overlay map (map reference: OM-003.1).This feature class includes the following sub-categories:(a) High storm-tide inundation area sub-category;(b) Medium storm-tide inundation area sub-category.For information about the overlay and how it is applied, please refer to the Brisbane City Plan 2014 document.This dataset utilises Brisbane City Council's Open Spatial Data website to provide additional features for viewing and downloading the data.The first resource is in HTML format. The GO TO button will launch our Open Spatial Data website and this will let you preview the data and enable additional download options. The resources labelled GeoJSON, KML and SHP will give you a download of the entire dataset. The ESRI REST resource connects to metadata for the layer while the CSV resource will download attribute data in a table. For more information on the new features and other tips and tricks please read our Blog.

This data layer is an element of the Oregon GIS Framework. This feature dataset contains the following feature classes: 1. The Scio_2012_XS feature class: represents cross-section lines for the City of Scio. This dataset was produced by the Strategic Alliance for Risk Reduction (STARR), a technical contractor for FEMA Region 10. 2. Scio_2012_STUDY_REACH feature class: represents flood study reaches for for the City of Scio. This dataset was produced by the Strategic Alliance for Risk Reduction (STARR), a technical contractor for FEMA Region 10. 3. Scio_2012_FLD_HAZ_AR feature class: represents flood study inundation zones for the City of Scio. This dataset was produced by the Strategic Alliance for Risk Reduction (STARR), a technical contractor for FEMA Region 10. See feature class metadata for detailed information about each feature class.

This data layer is an element of the Oregon GIS Framework. This feature dataset contains the following feature classes: 1. FEMA Flood Insurance Study base flood elevation (BFE) lines: The FEMA_BFE feature class is a compilation of FEMA Flood Insurance Study base flood elevation (BFE) lines for the state of Oregon. The FEMA Flood Insurance Study base flood elevation (BFE) lines were derived from Digital Flood Insurance Rate Maps and georeferenced paper Flood Insurance Rate Maps. 2. FEMA Flood Insurance Study inundation zones: The FEMA_FLD_HAZ_AR feature class is a compilation of FEMA Flood Insurance Study inundation zones for the state of Oregon. The FEMA Flood Insurance Study inundation zones were derived from Digital Flood Insurance Rate Maps and georeferenced paper Flood Insurance Rate Maps. 3. FEMA Letter of Map Change (LOMC) Locations: The FEMA_LOMC feature class is a compilation of FEMA Letter of Map Change (LOMC) Locations for the state of Oregon. The FEMA Letter of Map Change (LOMC) Locations were downloaded from the FEMA Map Service Center Website. The LOMC points were precisely located using county-level assessor data, orthoimagery, and lidar hillshades. 4. FEMA Flood Insurance Study profile baselines: The FEMA_PROFIL_BASLN feature class is a compilation of FEMA Flood Insurance Study profile baselines for the state of Oregon. The FEMA Flood Insurance Study profile baselines were derived from Digital Flood Insurance Rate Maps and paper Flood Insurance Rate Maps. 5. FEMA Flood Insurance Study cross section (XS) lines: The FEMA_XS feature class is a compilation of FEMA Flood Insurance Study cross section (XS) lines for the state of Oregon. The FEMA Flood Insurance Study cross section (XS) lines were derived from Digital Flood Insurance Rate Maps and paper Flood Insurance Rate Maps. See feature class metadata for detailed information about each feature class.

This dataset is available on Brisbane City Council’s open data website – data.brisbane.qld.gov.au. The site provides additional features for viewing and interacting with the data and for downloading the data in various formats.

This dataset, created in June 2013, provides an indication of the likelihood of a flood occurring from one or more sources: creek, river, and storm tide inside the Brisbane City Council local government area. This layer contributes to the overall Flood Awareness Mapping for Brisbane City Council.

Brisbane City Council has developed the Flood Awareness Maps and adopted the terms ‘high’, ‘medium’, ‘low’ and ‘very low’ likelihood areas to help residents and businesses better understand the likelihood of a flood affecting their property. The Flood Awareness Maps are an awareness tool and the maps do not provide information about the depth or speed of flood water. Information on potential flood levels for a property can be found in the FloodWise Property Report online.

The Flood Awareness Maps are an awareness tool to provide an indication of the likelihood of a flood occurring from one or more sources: creek, river, overland flow and storm tide. The maps do not provide information about the depth or speed of flood water. Use the FloodWise Property Report for information about flood levels specific to your property.

Many properties within the high and medium flood likelihood were affected by flooding in the 1974 and 2011 Brisbane River floods.

Residents in the low and very low flood likelihood areas should still be aware of their risk of flooding and understand how they, as well as others in the area, may be affected.

High likelihood area

Flooding is almost certain to occur in a high likelihood area. Residents and businesses are strongly advised to learn about the flood likelihood for their property so they can be prepared to help minimise the impact on their home, business and family.

Medium likelihood area

Flooding is likely to occur in a medium likelihood area. Residents and businesses are advised to learn about the flood likelihood for their property so they can be prepared to help minimise the impact on their home, business and family.

Low likelihood area

Low flood likelihood areas may experience flooding in a rare flood event. Residents and businesses should consider how flooding may affect their local area, suburb or community. Flooding is unlikely in a low flood likelihood area but it may still occur.

Very low likelihood area

Very low likelihood areas are unlikely to flood except in a very rare or extreme flood event. Residents and businesses should consider how flooding may affect their local suburb, area or community. Flooding is very unlikely in a very low flood likelihood area, but may still occur.

Brisbane City Council is working hard to reduce the impact of flooding but we all have a responsibility to understand our flood risk and be better prepared to minimise the impact of flooding on our homes, property and businesses.

For further information please refer to Council's website.

This layer contains polygon features representing areas where coarse sediments are critical to naturally armor stream beds and reduce the erosive forces associated with high flows. Absence of coarse sediment often results in erosion of in-channel substrate during high flows. In addition, coarse sediment contributes to formation of in-channel habitats necessary to support native flora and fauna. This dataset was downloaded from the project clean water - watershed management area analysis page found here: http://www.projectcleanwater.org/watershed-management-area-analysis-wmaa/.