- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Emerging extreme heat conditions as part of the new climate normal ; day:14 ; month:9 ; year:2023 ; pages:1-8
Theoretical and applied climatology ; (14.9.2023), 1-8
- Creator
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s00704-023-04605-y
- URN
-
urn:nbn:de:101:1-2023112813481333080677
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:32 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
- Zittis, George
- Lazoglou, Georgia
- Hadjinicolaou, Panos
- Lelieveld, Jos
- SpringerLink (Online service)
Other Objects (12)
What are the Sources and Health Effects of Air Pollution?
Climate-model-informed deep learning of global soil moisture distribution
Data-driven aeolian dust emission scheme for climate modelling, evaluated with EMAC 2.54
Heat-related cardiovascular mortality risk in Cyprus: a case-crossover study using a distributed lag non-linear model
Projected Air Temperature Extremes and Maximum Heat Conditions Over the Middle-East-North Africa (MENA) Region
Towards an advanced atmospheric chemistry-enabled ESM with dynamic land surface processes: Part I - Linking LPJ-GUESS (v4.0) with EMAC modelling system (v2.53)
Air Pollution Hunters
Direct radiative effect of dust-pollution interactions
Isoprene and monoterpene simulations using the chemistry–climate model EMAC (v2.55) with interactive vegetation from LPJ-GUESS (v4.0)
What controls ozone sensitivity in the upper tropical troposphere?
Iodide-CIMS and <italic>m/z</italic> 62: The detection of HNO<sub>3</sub> as NO<sub>3</sub><sup>−</sup> in the presence of PAN, peracetic acid and O<sub>3</sub>
Implementing the US air quality standard for PM2.5 worldwide can prevent millions of premature deaths per year
What are the Sources and Health Effects of Air Pollution?
Climate-model-informed deep learning of global soil moisture distribution
Data-driven aeolian dust emission scheme for climate modelling, evaluated with EMAC 2.54
Heat-related cardiovascular mortality risk in Cyprus: a case-crossover study using a distributed lag non-linear model
Projected Air Temperature Extremes and Maximum Heat Conditions Over the Middle-East-North Africa (MENA) Region
Towards an advanced atmospheric chemistry-enabled ESM with dynamic land surface processes: Part I - Linking LPJ-GUESS (v4.0) with EMAC modelling system (v2.53)
Air Pollution Hunters
Direct radiative effect of dust-pollution interactions
Isoprene and monoterpene simulations using the chemistry–climate model EMAC (v2.55) with interactive vegetation from LPJ-GUESS (v4.0)
What controls ozone sensitivity in the upper tropical troposphere?
Iodide-CIMS and <italic>m/z</italic> 62: The detection of HNO<sub>3</sub> as NO<sub>3</sub><sup>−</sup> in the presence of PAN, peracetic acid and O<sub>3</sub>
Implementing the US air quality standard for PM2.5 worldwide can prevent millions of premature deaths per year
What are the Sources and Health Effects of Air Pollution?
Climate-model-informed deep learning of global soil moisture distribution
Data-driven aeolian dust emission scheme for climate modelling, evaluated with EMAC 2.54
Heat-related cardiovascular mortality risk in Cyprus: a case-crossover study using a distributed lag non-linear model
Projected Air Temperature Extremes and Maximum Heat Conditions Over the Middle-East-North Africa (MENA) Region
Towards an advanced atmospheric chemistry-enabled ESM with dynamic land surface processes: Part I - Linking LPJ-GUESS (v4.0) with EMAC modelling system (v2.53)
Air Pollution Hunters
Direct radiative effect of dust-pollution interactions
Isoprene and monoterpene simulations using the chemistry–climate model EMAC (v2.55) with interactive vegetation from LPJ-GUESS (v4.0)
What controls ozone sensitivity in the upper tropical troposphere?
Iodide-CIMS and <italic>m/z</italic> 62: The detection of HNO<sub>3</sub> as NO<sub>3</sub><sup>−</sup> in the presence of PAN, peracetic acid and O<sub>3</sub>