1. Нүүр
  2. Байгууллагууд
  3. Global Facility for...
  4. SS-GLOBAL-MUIS-1000

SS-GLOBAL-MUIS-1000

Muis et al Coastal Flood datasets

These datasets present the first global reanalysis of storm surges and extreme sea levels (GTSR data set) based on hydrodynamic modelling. GTSR covers the entire world’s coastline and consists of time series of tides and surges, and estimates of extreme sea levels. Validation shows that there is good agreement between modelled and observed sea levels, and that the performance of GTSR is similar to that of many regional hydrodynamic models. More information on the methods can be found at: Muis, S., Verlaan, M., Winsemius, H.C., Aerts, J.C.J.H., Ward, P.J., 2016. A global reanalysis of storm surge and extreme sea levels. Nat. Commun. 7, 1–11. doi:10.1038/ncomms11969

Өгөгдөл ба материал

Нэмэлт мэдээлэл

Талбар Утга
Сүүлийн шинэчлэл 2019 6-р сар 27, 22:32 (EDT)
Үүссэн 2019 6-р сар 27, 22:32 (EDT)
GUID 082ccc26-8651-11e6-97d7-040146164b01
access_constraints ["Public Domain (PD): Works in the public domain may be used freely without the permission of the former copyright owner. (http://www.copyright.gov/help/faq/faq-definitions.html)", "Users must cite: Muis, S., Verlaan, M., Winsemius, H.C., Aerts, J.C.J.H., Ward, P.J., 2016. A global reanalysis of storm surge and extreme sea levels. Nat. Commun. 7, 1\u201311. doi:10.1038/ncomms11969"]
bbox-east-long 187.272019155
bbox-north-lat 154.312344297
bbox-south-lat -126.595670353
bbox-west-long -187.272000379
contact-email
coupled-resource []
dataset-reference-date [{"type": "publication", "value": "2016-07-27T17:00:00Z"}]
frequency-of-update notPlanned
graphic-preview-description Thumbnail for 'SS-GLOBAL-MUIS-1000'
graphic-preview-file https://www.geonode-gfdrrlab.org/uploaded/thumbs/layer-082ccc26-8651-11e6-97d7-040146164b01-thumb.png
graphic-preview-type image/png
licence []
metadata-date 2018-11-20T16:19:57Z
metadata-language
progress completed
resource-type dataset
responsible-party [{"name": "Muis-et-al", "roles": ["originator"]}]
spatial {"type": "Polygon", "coordinates": [[[-187.272000379, -126.595670353], [187.272019155, -126.595670353], [187.272019155, 154.312344297], [-187.272000379, 154.312344297], [-187.272000379, -126.595670353]]]}
spatial-data-service-type
spatial-reference-system 4326
spatial_harvester true