The locations and names of schools in the dataset were results of a combination of NEMA, BNGIS, OSM, and PDC efforts. The statuses were provided by ESF-8 and ESF-6 (Department of Social Services).
Based on data of the observed and predicted tropical cyclone path, wind speeds, and population data (from WorldPop) acquired on the 1st of September 2019, UNITAR-UNOSAT conducted a population exposure analysis for Bahamas where about 72,000 people will be potentially exposed to sustained winds with more than 120 km/h.
This dataset contains the daily summaries on base stations across Bahamas. The four indicators included are:
* TPCP: Total precipitation
* MXSD: Maximum snow depth
* TSNW: Total snow fall
* EMXP: Extreme maximum daily precipitation
Indicators are compiled by the National Centers for Environmental Information (NCEI), which is administrated by National Oceanic and Atmospheric Administration (NOAA) an organization part of the United States government. NOAA has access to data collected from thousands of base stations around the world, which collect data periodically on weather and climate conditions.
This dataset contains the latest 5 years of available data.
The urban indicators data available here are analyzed, compiled and published by UN-Habitat’s Global Urban Observatory which supports governments, local authorities and civil society organizations to develop urban indicators, data and statistics. Urban statistics are collected through household surveys and censuses conducted by national statistics authorities. Global Urban Observatory team analyses and compiles urban indicators statistics from surveys and censuses. Additionally, Local urban observatories collect, compile and analyze urban data for national policy development. Population statistics are produced by the United Nations Department of Economic and Social Affairs, World Urbanization Prospects.
Hurricane Irma's gust footprint for 3-sec maximum gusts through to 9UT 7th September 2017.
Hurricane Irma's forecast gust swathe out to 120hrs lead for 3-sec maximum gusts (issued 9UT 7th September).
Hurricane Irma peak 3-sec gust footprints in kml format (through 15UT 11th Sept 2017)
Credit - Tropical Storm Risk/UCL
This dataset illustrates the tropical cyclone IRMA-17 path with low, medium and strong wind impact zones observed and predicted at 7 September 2017. The tropical cyclone path and wind speed zones were derived from Joint Research Centre data (Warning 33 issued the 07 th September 2017 at 09:00 UTC). This is a preliminary analysis and has not yet been validated in the field.
Tropical Storm Risk - University College London - gust footprint for Matthew
in kml format.
If you zoom in (using Google Earth) the footprint shows the towns and
villages in western Haiti which UCL model predicts will be worst affected
by wind damage (with peak gusts of 160 mph (260 kmph)).
The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.
