DATASET

Typhoon Noru in Philippines (2022-09-26)

Collection: CEMS-RM : CEMS Rapid Mapping 

Description


Activation time (UTC): 2022-09-26 10:52:00
Event time (UTC): 2022-09-25 00:00:00
Event type: Storm (Tropical cyclone, hurricane, typhoon)

Activation reason:
Noru, known locally as Karding, first made landfall as a super typhoon on the 25th September, but later weakened at 20:20 local time (12:20 GMT) on Sunday. Its peak wind increased from 60 to 160 mph in 24 hours as it transformed from a tropical storm to the equivalent of a Category 5 hurricane. This leap was the fastest 24-hour intensification rates on record for any tropical cyclone. More than 74,000 people had been evacuated from the typhoon's path, and officials had earlier issued warnings of "serious flooding" in areas of the capital, Manila. The Copernicus EMS Rapid Mapping was requested to provide Damage Assessment products.

Reference products: 0
Delineation products: 0
Grading products: 6

Copernicus Emergency Management Service - Mapping is a service funded by European Commission aimed at providing actors in the management of natural and man-made disasters, in particular Civil Protection Authorities and Humanitarian Aid actors, with mapping products based on satellite imagery.

Contact

Email
jrc-ems-rapidmapping (at) ec.europa.eu

Contributors

How to cite

European Commission, Joint Research Centre (JRC) (2022): Typhoon Noru in Philippines (2022-09-26). European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/a54291d3-0ff9-4faf-900f-9d090969c0ca

Keywords

CEMS Copernicus Copernicus Emergency Management Service Copernicus Emergency Management Service Rapid Mapping Activation Copernicus EMS Copernicus Service Emergency EMSR636 Mapping Emergency Management PHL Rapid Mapping Storm Philippines

Data access

Copernicus EMS Rapid Mapping Activation [EMSR636]: Typhoon Noru in Philippines (2022-09-26)
URL 
  • All maps produced in scope of this Copernicus EMS Rapid Mapping activation downloadable as georeferenced PDFs, TIFFs and JPEGs together with relevant vector data (SHP, KML) as well.

Spatial coverage

Type Value
GML
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GEO
POLYGON((120.56254101541 15.524027602477,122.36602447377 15.524027602477,122.36602447377 14.64065132382,120.56254101541 14.64065132382,120.56254101541 15.524027602477))
GEO
{"type":"Polygon","crs":{"type":"name","properties":{"name":"urn:ogc:def:crs:OGC:1.3:CRS84"}},"coordinates":[[[120.5625410154134,15.52402760247653],[122.3660244737698,15.52402760247653],[122.3660244737698,14.6406513238199],[120.5625410154134,14.6406513238199],[120.5625410154134,15.52402760247653]]]}

Lineage information

System.Collections.Generic.List`1[JRC.P4D.Trinity.Types.LangLiteral]

Additional information

Published by
European Commission, Joint Research Centre
Created date
2022-10-03
Modified date
2022-10-17
Issued date
2022-09-26
Landing page
https://emergency.copernicus.eu/EMSR636 
Language(s)
English
Data theme(s)
Regions and cities, Science and technology
Update frequency
unknown
Identifier
http://data.europa.eu/89h/a54291d3-0ff9-4faf-900f-9d090969c0ca
Popularity