Simulating Synthetic Tropical Cyclone Tracks for Statistically Reliable Wind and Pressure Estimations
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
Simulating Synthetic Tropical Cyclone Tracks for Statistically Reliable Wind and Pressure Estimations ; year:2020 ; pages:1-30
Natural hazards and earth system sciences discussions ; (2020), 1-30
- Creator
-
Nederhoff, Kees
Hoek, Jasper
Leijnse, Tim
van Ormondt, Maarten
Caires, Sofia
Giardino, Alessio
- DOI
-
10.5194/nhess-2020-250
- URN
-
urn:nbn:de:101:1-2020082705153085451040
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:44 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Nederhoff, Kees
- Hoek, Jasper
- Leijnse, Tim
- van Ormondt, Maarten
- Caires, Sofia
- Giardino, Alessio
Other Objects (12)
Simulating synthetic tropical cyclone tracks for statistically reliable wind and pressure estimations
Importance of Air-Sea Coupling in Simulating Tropical Cyclone Intensity at Landfall
How reliable are CMIP5 models in simulating dust optical depth?
How reliable are CMIP5 models in simulating dust optical depth?
Statistically responsible artificial intelligences
Estimations approximatives
One for all : A comprehensive analysis pipeline for simulating and reconstructing radio observations including uncertainty estimations
Liste des Estimations
Abendkleid "Robe Cyclone"
gDNA qPCR is statistically more reliable than mRNA analysis in detecting leukemic cells to monitor CML
Wave scattering from statistically rough surfaces
Statistically predicting Dst without satellite data
Simulating synthetic tropical cyclone tracks for statistically reliable wind and pressure estimations
Importance of Air-Sea Coupling in Simulating Tropical Cyclone Intensity at Landfall
How reliable are CMIP5 models in simulating dust optical depth?
How reliable are CMIP5 models in simulating dust optical depth?
Statistically responsible artificial intelligences
Estimations approximatives
One for all : A comprehensive analysis pipeline for simulating and reconstructing radio observations including uncertainty estimations
Liste des Estimations
Abendkleid "Robe Cyclone"
gDNA qPCR is statistically more reliable than mRNA analysis in detecting leukemic cells to monitor CML
Wave scattering from statistically rough surfaces
Statistically predicting Dst without satellite data
Simulating synthetic tropical cyclone tracks for statistically reliable wind and pressure estimations
Importance of Air-Sea Coupling in Simulating Tropical Cyclone Intensity at Landfall
How reliable are CMIP5 models in simulating dust optical depth?
How reliable are CMIP5 models in simulating dust optical depth?
Statistically responsible artificial intelligences
Estimations approximatives
One for all : A comprehensive analysis pipeline for simulating and reconstructing radio observations including uncertainty estimations
Liste des Estimations
Abendkleid "Robe Cyclone"
gDNA qPCR is statistically more reliable than mRNA analysis in detecting leukemic cells to monitor CML
Wave scattering from statistically rough surfaces