6 datasets found
  1. c

    MODFLOW 2005 data sets for the simulation of potential increased inundation...

    • s.cnmilf.com
    • catalog.data.gov
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). MODFLOW 2005 data sets for the simulation of potential increased inundation in flood-prone regions of Southeast Florida in response to climate and sea-level changes in Broward County, Florida, 2060-69 [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/modflow-2005-data-sets-for-the-simulation-of-potential-increased-inundation-in-flood-pr-20
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Broward County
    Description

    Two transient surface-water/groundwater models were developed to study the potential for increased inundation and flooding in eastern Broward County due to changes in future climate and sea-level rise. These models were constructed by using a modified version of MODFLOW 2005, with the surface-water system represented by using the surface-water routing process (SWR1) and a new Urban Runoff (URO) process. The models were used to simulate an historical period (1990-99) using measured input data and a base-case (1990–99) and a future period (2060–69) using regional climate model rainfall and potential evapotranspiration output. Model construction relied heavily on a previously created variable density model of the same study area. This USGS data release contains all of the input and output files as well as the executables required to reproduce the simulations described in the associated model documentation report. (https://doi.org/10.3133/sir20185125)

  2. U.S. population at risk of rising sea levels by city 2060-2100

    • statista.com
    Updated Aug 22, 2025
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    Statista (2025). U.S. population at risk of rising sea levels by city 2060-2100 [Dataset]. https://www.statista.com/statistics/1110480/flood-risk-population-sea-level-rise/
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    Dataset updated
    Aug 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In Miami Beach, Florida, around ****** residents live in homes at risk to being flooded by 2060 due to rising sea levels. Florida has many cities that may be lost to coastal erosion as a result of sea level rise, as well as storm surges. The significance of sea level rise is particularly great for the many cities with high values of assets that are under threat.

  3. Share of U.S. population at risk of rising sea levels by city 2060-2100

    • statista.com
    Updated Aug 7, 2025
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    Statista (2025). Share of U.S. population at risk of rising sea levels by city 2060-2100 [Dataset]. https://www.statista.com/statistics/1110499/flood-risk-population-percentage-sea-level-rise/
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    Dataset updated
    Aug 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In terms of the share of its total population, the Lower Florida Keys are most at risk to homes being flooded by rising sea levels, with ** percent of its residents living in dwellings expected to be flooded by 2060. Although Chesapeake, Virginia has a relatively small percentage of its population at risk, the number of inhabitants living in homes expected to be flooded is very large.

  4. c

    NOAA RESTORE Science Program: A Web-based Interactive Decision-Support Tool...

    • s.cnmilf.com
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +1more
    Updated Aug 1, 2025
    + more versions
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    (Point of Contact) (2025). NOAA RESTORE Science Program: A Web-based Interactive Decision-Support Tool for Adaptation of Coastal Urban and Natural Ecosystems (ACUNE) in Southwest Florida: Flood Maps for current conditions, 2030, 2060, and 2100 under different sea level rise scenarios (NCEI Accession 0248802) [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/noaa-restore-science-program-a-web-based-interactive-decision-support-tool-for-adaptation-of-co1
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    Dataset updated
    Aug 1, 2025
    Dataset provided by
    (Point of Contact)
    Description

    This dataset contains probabilistic (return-period based) flood maps from storm surge, tide and waves. The maps were produced by the Joint Probability Method with Optimal Spacing (JPM-OS) statistical procedure using the model data produced by a coupled CH3D/SWAN storm surge modeling system. The maps correspond to a 1% annual probability of exceedance (100-year return period). Sea level rise (SLR) conditions are based on NOAA predictions for Naples, FL. The SLR for 2020 is set to be at 0.32 ft. All SLR values are relative to the year 2000. Scenarios: 2030 Low (0.39 ft SLR), 2030 Medium (0.72 ft SLR), 2030 High (1.15 ft SLR); 2060 Low (0.82 ft SLR), 2060 Medium (1.77 ft SLR), 2060 High (3.38 ft SLR); 2100 Low (1.28 ft SLR), 2100 Medium (3.77 ft SLR), 2100 High (8.36 ft SLR).

  5. e

    Unitajiet domestiċi previsti fl-1 ta’ Jannar; ċifri ewlenin 2016–2060

    • data.europa.eu
    atom feed, json
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    Unitajiet domestiċi previsti fl-1 ta’ Jannar; ċifri ewlenin 2016–2060 [Dataset]. https://data.europa.eu/data/datasets/371-prognose-huishoudens-op-1-januari-kerncijfers-2016-2060?locale=mt
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    atom feed, jsonAvailable download formats
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Din it-tabella tipprovdi ċifri dwar it-tbassir tal-popolazzjoni tal-Pajjiżi l-Baxxi f’unitajiet domestiċi u f’unitajiet domestiċi privati fin-Netherlands. Iċ-ċifri jirreferu għas-sitwazzjoni mill-1 ta’ Jannar.

    It-tqassim li ġej huwa possibbli: — Persuni skont il-pożizzjoni tal-unità domestika; — Unitajiet domestiċi privati skont il-kompożizzjoni tal-unità domestika; — Unitajiet domestiċi privati skont id-daqs tal-unità domestika;

    — Koppji u unitajiet domestiċi b’ġenitur wieħed skont l-għadd ta’ tfal; — Djar bit-tfal skont l-età tal-iżgħar wild li jgħix id-dar. Data disponibbli mill-2016 sal-2060

    L-istatus taċ-ċifri: Iċ-ċifri f’din it-tabella huma ċifri ta’ tbassir ikkalkulati.

    Bidliet mit-18 ta’ Diċembru 2018: L-ebda, din it-tabella ma twaqqfet.

    Emendi mit-18 ta’ Diċembru 2015: F’din it-tabella l-ġdida, it-tbassir preċedenti ġie rivedut abbażi tal-aħħar għarfien, il-perjodu ta’ tbassir issa huwa bejn l-2016 u l-2060.

    Meta se jkun hemm ċifri ġodda? M’għadux applikabbli. Din it-tabella hija segwita mill-unitajiet domestiċi previsti fl-1 ta’ Jannar; ċifri ewlenin 2019–2060.Ara l-paragrafu 3.Iċ-ċifri jirreferu għas-sitwazzjoni mill-1 ta’ Jannar.

    It-tqassim li ġej huwa possibbli:

    — Persuni skont il-pożizzjoni tal-unità domestika; — Unitajiet domestiċi privati skont il-kompożizzjoni tal-unità domestika; — Unitajiet domestiċi privati skont id-daqs tal-unità domestika;

    — Koppji u unitajiet domestiċi b’ġenitur wieħed skont l-għadd ta’ tfal; — Djar bit-tfal skont l-età tal-iżgħar wild li jgħix id-dar.

    Data disponibbli mill-2016 sal-2060 L-istatus taċ-ċifri: Iċ-ċifri f’din it-tabella huma ċifri ta’ tbassir ikkalkulati.

    Bidliet mit-18 ta’ Diċembru 2018: L-ebda, din it-tabella ma twaqqfet.

    Emendi mit-18 ta’ Diċembru 2015: F’din it-tabella l-ġdida, it-tbassir preċedenti ġie rivedut abbażi tal-aħħar għarfien, il-perjodu ta’ tbassir issa huwa bejn l-2016 u l-2060.

    Meta se jkun hemm ċifri ġodda? M’għadux applikabbli. Din it-tabella hija segwita mill-unitajiet domestiċi previsti fl-1 ta’ Jannar;ċifri ewlenin 2019–2060. Ara l-paragrafu 3. Din it-tabella tipprovdi ċifri dwar it-tbassir tal-popolazzjoni tal-Pajjiżi l-Baxxi f’unitajiet domestiċi u f’unitajiet domestiċi privati fin-Netherlands. Iċ-ċifri jirreferu għas-sitwazzjoni mill-1 ta’ Jannar.

    It-tqassim li ġej huwa possibbli: — Persuni skont il-pożizzjoni tal-unità domestika;

    — Unitajiet domestiċi privati skont il-kompożizzjoni tal-unità domestika; — Unitajiet domestiċi privati skont id-daqs tal-unità domestika; — Koppji u unitajiet domestiċi b’ġenitur wieħed skont l-għadd ta’ tfal; — Djar bit-tfal skont l-età tal-iżgħar wild li jgħix id-dar.

    Data disponibbli mill-2016 sal-2060

    L-istatus taċ-ċifri: Iċ-ċifri f’din it-tabella huma ċifri ta’ tbassir ikkalkulati.

    Bidliet mit-18 ta’ Diċembru 2018:

    L-ebda, din it-tabella ma twaqqfet.

    Emendi mit-18 ta’ Diċembru 2015:

    F’din it-tabella l-ġdida, it-tbassir preċedenti ġie rivedut abbażi tal-aħħar għarfien, il-perjodu ta’ tbassir issa huwa bejn l-2016 u l-2060.

    Meta se jkun hemm ċifri ġodda?

    M’għadux applikabbli. Din it-tabella hija segwita mill-unitajiet domestiċi previsti fl-1 ta’ Jannar; ċifri ewlenin 2019–2060. Ara l-paragrafu 3.

  6. Marsh Migration 2100 (1.6 ft Scenario)

    • noaa.hub.arcgis.com
    Updated May 23, 2024
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    NOAA GeoPlatform (2024). Marsh Migration 2100 (1.6 ft Scenario) [Dataset]. https://noaa.hub.arcgis.com/maps/noaa::marsh-migration-2100-1-6-ft-scenario/explore
    Explore at:
    Dataset updated
    May 23, 2024
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    NOAA GeoPlatform
    Area covered
    Description

    This map/layer/application highlights marsh productivity/vegetation with sea level rise in the panhandle of Florida, including the following counties: Gulf, Franklin, Wakulla, Jefferson, Taylor. This uses the Hydro-MEM (Hydrodynamic-Marsh Equilibrium Model) (Alizad and others, 2016a; 2016b), the wetlands system within the Apalachicola-Big-Bend (ABB) region of Florida (FL) was assessed using initial and three sea-level rise (SLR) scenarios from the National Oceanic and Atmospheric Administration (NOAA) (Sweet and others, 2017). These scenarios are the intermediate-low (int-low) scenario projects 50 centimeters (cm) of SLR by 2100, the intermediate (int) scenario projects 1 meter (m) of SLR by 2100, and the intermediate-high (int-high) scenario projects 1.5 m of SLR by 2100. The Hydro-MEM output includes vegetation, productivity, and migration outputs for 2020, 2040, 2060, 2080, and 2100.These data are associated with the N2E2 project. They are intended for geographic representation and analysis of potential ecosystem service losses due to sea-level rise related stresses under present-day and future scenarios. Data is intended to inform state, regional, and local governments planning coastal habitat conservation, restoration, and assessment.

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    Learn how you can add new datasets to our index.

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U.S. Geological Survey (2024). MODFLOW 2005 data sets for the simulation of potential increased inundation in flood-prone regions of Southeast Florida in response to climate and sea-level changes in Broward County, Florida, 2060-69 [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/modflow-2005-data-sets-for-the-simulation-of-potential-increased-inundation-in-flood-pr-20

MODFLOW 2005 data sets for the simulation of potential increased inundation in flood-prone regions of Southeast Florida in response to climate and sea-level changes in Broward County, Florida, 2060-69

Explore at:
Dataset updated
Jul 6, 2024
Dataset provided by
United States Geological Surveyhttp://www.usgs.gov/
Area covered
Broward County
Description

Two transient surface-water/groundwater models were developed to study the potential for increased inundation and flooding in eastern Broward County due to changes in future climate and sea-level rise. These models were constructed by using a modified version of MODFLOW 2005, with the surface-water system represented by using the surface-water routing process (SWR1) and a new Urban Runoff (URO) process. The models were used to simulate an historical period (1990-99) using measured input data and a base-case (1990–99) and a future period (2060–69) using regional climate model rainfall and potential evapotranspiration output. Model construction relied heavily on a previously created variable density model of the same study area. This USGS data release contains all of the input and output files as well as the executables required to reproduce the simulations described in the associated model documentation report. (https://doi.org/10.3133/sir20185125)

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