Cyclone Dineo - Windspeeds and rainfall
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Written by OrionAI from the dataset's title, columns and sample rows, because the publisher did not describe it.
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✦ Suggested by OrionAIData provided by Mark Saunders at University College London
Please note that the windspeed and track dataset only covers the part where the this was still a tropical cyclone. For explanation see below caveats. Due to this we will not release a priority index, since windspeed data is missing for most of the country. Dataset of windspeed and track was kindly provided by University College London. The rainfall data is calculated based on GPM. It is the accumulated rainfall from March 6th midnight to March 10th 10:00am Madagascar time.
The Tropical Cyclone Dineo-17, is approaching Mozambique coasts and is expected to make landfall The 16 February 2017 in the central province of Inhambane. Potential heavy rainfall are also expected according microwave satellite sensors and might induce flooding in the affected areas. This report provides an analysis on the potentially exposed population per wind speed zones in Mozambique. According to our analysis approximately 250,000 people in Mozambique may be exposed to over 120km/h sustainable wind speeds and 59,000 people might be exposed to 90km/h wind speed. About 1,160,000 people might be exposed to moderate winds of 60km/h.
**ADAM ID: 1001053\_10** Cyclone (tropical storm) during the period Mar 03 2024-Mar 13 2024 in Mozambique, South Africa, Eswatini, Zimbabwe, Malawi. It impacted 0 people.
This dataset contains the shapefile of health facility damages due to Tropical Cyclone Idai as at 8 April 2019
**ADAM ID: **1001154\_34 Tropical storm during the period Mar 08 2025-Mar 16 2025 in Mozambique, Madagascar. The center of the storm was located near latitude -26.04 longitude 51.93. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.
Indexed by OrionGIS from Humanitarian Data Exchange (HDX). Data is loaded from the publisher's own server when you use it. Permanent link