Wildfire precursors show complementary predictability in different timescales
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Wildfire precursors show complementary predictability in different timescales ; volume:14 ; number:1 ; day:26 ; month:10 ; year:2023 ; pages:1-9 ; date:12.2023
Nature Communications ; 14, Heft 1 (26.10.2023), 1-9, 12.2023
- Urheber
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41467-023-42597-5
- URN
-
urn:nbn:de:101:1-2024011511360464590095
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:32 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Qu, Yuquan
- Miralles, Diego
- Veraverbeke, Sander
- Vereecken, Harry
- Montzka, Carsten
- SpringerLink (Online service)
Ähnliche Objekte (12)
Stranger things happen at sea: Phytoplankton phenotypic plasticity in response to thermal predictability across different timescales
TSECfire v1.0: Quantifying Wildfire Drivers and Predictability in Boreal Peatlands Using a Two-Step Error-Correcting Machine Learning Framework
Changes in ozone and precursors during two aged wildfire smoke events in the Colorado Front Range in summer 2015
The Timescales of Quantum Breaking
Sentimental wildfire: a social-physics machine learning model for wildfire nowcasting
Bam Wildfire, Vol. 1
Tabletop-Konsole: Wildfire, 1979
Bam Wildfire, Vol. 2
Limits of predictability
The predictability problem
Wildfire imagery reduces risk information-seeking among homeowners as property wildfire risk increases
Wildfire : Igniting the she/volution
Stranger things happen at sea: Phytoplankton phenotypic plasticity in response to thermal predictability across different timescales
TSECfire v1.0: Quantifying Wildfire Drivers and Predictability in Boreal Peatlands Using a Two-Step Error-Correcting Machine Learning Framework
Changes in ozone and precursors during two aged wildfire smoke events in the Colorado Front Range in summer 2015
The Timescales of Quantum Breaking
Sentimental wildfire: a social-physics machine learning model for wildfire nowcasting
Bam Wildfire, Vol. 1
Tabletop-Konsole: Wildfire, 1979
Bam Wildfire, Vol. 2
Limits of predictability
The predictability problem
Wildfire imagery reduces risk information-seeking among homeowners as property wildfire risk increases
Wildfire : Igniting the she/volution
Stranger things happen at sea: Phytoplankton phenotypic plasticity in response to thermal predictability across different timescales
TSECfire v1.0: Quantifying Wildfire Drivers and Predictability in Boreal Peatlands Using a Two-Step Error-Correcting Machine Learning Framework
Changes in ozone and precursors during two aged wildfire smoke events in the Colorado Front Range in summer 2015
The Timescales of Quantum Breaking
Sentimental wildfire: a social-physics machine learning model for wildfire nowcasting
Bam Wildfire, Vol. 1
Tabletop-Konsole: Wildfire, 1979
Bam Wildfire, Vol. 2
Limits of predictability
The predictability problem
Wildfire imagery reduces risk information-seeking among homeowners as property wildfire risk increases