British Red Cross Maps Team

TSR gust footprint for Cyclonic Storm FANI - 2019-May 3 - Credit: Tropical Storm Risk/UCL Issued about 3 hours after it made landfall ~15km to the west of Puri in Odisha state, India. The gust footprint shows the magnitude and extent of the peak winds from FANI at landfall and immediately thereafter. Our model indicates that the peak gust at landfall was 150-160 mph and that gusts of 100 mph and over extend over a swathe width of ~100 km. The wind damage from FANI will almost certainly be severe. This damage will be exacerbated by heavy rains and an expected high storm surge. Unfortunately the forecast wind swathe for FANI is in line with the heavily populated cities of Bhubaneshwar and Cuttack.

This data set contains information about to the Ebola treatment centres, Isolation centres and transit centres in regards to the West Africa Ebola outbreak. The dataset is updated daily.

Damage data from Ecuador Government in google spreadsheets

Zika Cases per Country in South and Central America

Hurricane Maria peak 3-sec gust footprints in kml format (through 9UT 21st Sept 2017) Credit - Tropical Storm Risk/UCL

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 data is about damaged houses in the Philippines after Typhoon Haima (Lawin)

90m resolution elevation data

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)).

A predictive severity index created using population * poverty * MMI Population and Poverty from: https://data.hdx.rwlabs.org/dataset/poverty-and-population MMI from: http://earthquake.usgs.gov/earthquakes/eventpage/us20005j32#shakemap

Poverty and population data for cantons and parishes in Ecuador

A priority index created for use in the response to Typhoon Maysak using a combination of pre-disaster and disaster data

An index to target those in poverty and affected by cyclone Pam. Methodology and contact available on tab in spreadsheet.

Household GPS points - Number of inhabitants living in HH Geographic levels: Enumeration Area, Area Council, Province Domain: Household GPS points Theme: Households GPS points (2009) Summary: For more information about this indicator click on the metadata link below:. Know more: http://www.spc.int/prism/nada/index.php/catalog/57

Google spreadsheet version of data from this map http://www.hko.gov.hk/wxinfo/currwx/tc_gis_e.htm

Path (lat/lng) data for Cyclone Pam 2015. Includes time and windspeed

Movement restrictions in the Ebola affected Countries of Sierra Leone, Guinea and Liberia