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Person
Person

Person

Philip Stier

Meteorologe

Name

Philip Stier

Time

2002- (Wirkungsdaten)

Place

Großbritannien
Deutschland

Gender

männlich

Academic degree

Prof. Dr.

Profession

Meteorologe (characteristic profession)
Hochschullehrer

Related

University of Oxford
Max-Planck-Institut für Meteorologie

Source

Homepage: https://www.physics.ox.ac.uk/our-people/stier (Stand: 07.12.2022)

Record type

Person

GND-Identifier

126107176X

Record ID

126107176X

Involved in

show all

Pushing the frontiers in climate modelling and analysis with machine learning

Multifaceted aerosol effects on precipitation

Isolating aerosol-climate interactions in global kilometre-scale simulations

Weak liquid water path response in ship tracks

A systematic evaluation of high-cloud controlling factors

General circulation models simulate negative liquid water path­–droplet number correlations, but anthropogenic aerosols still increase simulated liquid water path

<italic>tobac</italic> v1.5: introducing fast 3D tracking, splits and mergers, and other enhancements for identifying and analysing meteorological phenomena

Earth Virtualization Engines (EVE)

Cloud condensation nuclei concentrations derived from the CAMS reanalysis

A systematic evaluation of high-cloud controlling factors

General circulation models simulate negative liquid water path–droplet number correlations, but anthropogenic aerosols still increase simulated liquid water path

A Lagrangian perspective on the lifecycle and cloud radiative effect of deep convective clouds over Africa

A Lagrangian Perspective on the Lifecycle and Cloud Radiative Effect of Deep Convective Clouds Over Africa

<em>tobac</em> v1.5: Introducing Fast 3D Tracking, Splits and Mergers, and Other Enhancements for Identifying and Analysing Meteorological Phenomena

Earth Virtualization Engines (EVE)

Cloud condensation nuclei concentrations derived from the CAMS reanalysis

Publisher Correction: Sea surface warming patterns drive hydrological sensitivity uncertainties

A semi-Lagrangian method for detecting and tracking deep convective clouds in geostationary satellite observations

Rapid saturation of cloud water adjustments to shipping emissions

Sensitivities of cloud radiative effects to large-scale meteorology and aerosols from global observations

Identifying climate model structural inconsistencies allows for tight constraint of aerosol radiative forcing

Satellite observations of smoke–cloud–radiation interactions over the Amazon rainforest

Satellite Observations of Smoke-Cloud-Radiation Interactions Over the Amazon Rainforest

Identifying climate model structural inconsistencies allows for tight constraint of aerosol radiative forcing

Invisible ship tracks show large cloud sensitivity to aerosol

Strong control of effective radiative forcing by the spatial pattern of absorbing aerosol

Robust evidence for reversal in the aerosol effective climate forcing trend

A Semi-Lagrangian Method for Detecting and Tracking Deep Convective Clouds in Geostationary Satellite Observations

Source attribution of cloud condensation nuclei and their impact on stratocumulus clouds and radiation in the south-eastern Atlantic

Robust evidence for reversal of the trend in aerosol effective climate forcing

Source attribution of cloud condensation nuclei and their impact on stratocumulus clouds and radiation in the south-eastern Atlantic

Opportunistic experiments to constrain aerosol effective radiative forcing

Model calibration using ESEm v1.0.0 &ndash; an open, scalable Earth System Emulator

Opportunistic Experiments to Constrain Aerosol Effective Radiative Forcing

Biomass burning aerosols in most climate models are too absorbing

Model calibration using ESEm v1.1.0 – an open, scalable Earth system emulator

Aerosol absorption in global models from AeroCom phase III

On the contribution of fast and slow responses to precipitation changes caused by aerosol perturbations

Cloud adjustments dominate the overall negative aerosol radiative effects of biomass burning aerosols in UKESM1 climate model simulations over the south-eastern Atlantic

Overview: The CLoud-Aerosol-Radiation Interaction and Forcing: Year-2017 (CLARIFY-2017) measurement campaign

An AeroCom/AeroSat study: Intercomparison of Satellite AOD Datasets for Aerosol Model Evaluation

Constraining the Twomey effect from satellite observations: Issues and perspectives

Constraining the Twomey effect from satellite observations: issues and perspectives

An AeroCom–AeroSat study: intercomparison of satellite AOD datasets for aerosol model evaluation

Cloudy-sky contributions to the direct aerosol effect

Atmospheric energy budget response to idealized aerosol perturbation in tropical cloud systems

Global response of parameterised convective cloud fields to anthropogenic aerosol forcing

Surprising similarities in model and observational aerosol radiative forcing estimates

The global aerosol-climate model ECHAM6.3-HAM2.3 – Part 2: Cloud evaluation, aerosol radiative forcing and climate sensitivity

tobac v1.0: towards a flexible framework for tracking and analysis of clouds in diverse datasets

Atmospheric energy budget response to idealized aerosol perturbation in tropical cloud systems

Cloudy sky contributions to the direct aerosol effect

Water vapour adjustments and responses differ between climate drivers

In situ constraints on the vertical distribution of global aerosol

The aerosol-climate model ECHAM6.3-HAM2.3: Aerosol evaluation

SALSA2.0: The sectional aerosol module of the aerosol-chemistry-climate model ECHAM6.3.0-HAM2.3-MOZ1.0

SALSA2.0: The sectional aerosol module of the aerosol–chemistry–climate model ECHAM6.3.0-HAM2.3-MOZ1.0

The chemistry–climate model ECHAM6.3-HAM2.3-MOZ1.0

The propagation of aerosol perturbations in convective cloud microphysics

The Chemistry Climate Model ECHAM6.3-HAM2.3-MOZ1.0
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