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von Kármán vortex street over Canary Islands
Credit: NASA

Philip Stier

Professor of Atmospheric Physics

Research theme

  • Climate physics

Sub department

  • Atmospheric, Oceanic and Planetary Physics

Research groups

  • Climate processes
philip.stier@physics.ox.ac.uk
Telephone: 01865 (2)72887
Atmospheric Physics Clarendon Laboratory, room 103
  • About
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  • CV
  • Publications

Biomass burning emission analysis based on MODIS aerosol optical depth and AeroCom multi-model simulations: implications for model constraints and emission inventories

Atmospheric Chemistry and Physics Copernicus GmbH 25:3 (2025) 1545-1567

Authors:

Mariya Petrenko, Ralph Kahn, Mian Chin, Susanne E Bauer, Tommi Bergman, Huisheng Bian, Gabriele Curci, Ben Johnson, Johannes W Kaiser, Zak Kipling, Harri Kokkola, Xiaohong Liu, Keren Mezuman, Tero Mielonen, Gunnar Myhre, Xiaohua Pan, Anna Protonotariou, Samuel Remy, Ragnhild Bieltvedt Skeie, Philip Stier, Toshihiko Takemura, Kostas Tsigaridis, Hailong Wang, Duncan Watson-Parris, Kai Zhang

Abstract:

<jats:p>Abstract. We assessed the biomass burning (BB) smoke aerosol optical depth (AOD) simulations of 11 global models that participated in the AeroCom phase III BB emission experiment. By comparing multi-model simulations and satellite observations in the vicinity of fires over 13 regions globally, we (1) assess model-simulated BB AOD performance as an indication of smoke source–strength, (2) identify regions where the common emission dataset used by the models might underestimate or overestimate smoke sources, and (3) assess model diversity and identify underlying causes as much as possible. Using satellite-derived AOD snapshots to constrain source strength works best where BB smoke from active sources dominates background non-BB aerosol, such as in boreal forest regions and over South America and southern hemispheric Africa. The comparison is inconclusive where the total AOD is low, as in many agricultural burning areas, and where the background is high, such as parts of India and China. Many inter-model BB AOD differences can be traced to differences in values for the mass ratio of organic aerosol to organic carbon, the BB aerosol mass extinction efficiency, and the aerosol loss rate from each model. The results point to a need for increased numbers of available BB cases for study in some regions and especially to a need for more extensive regional-to-global-scale measurements of aerosol loss rates and of detailed particle microphysical and optical properties; this would both better constrain models and help distinguish BB from other aerosol types in satellite retrievals. More generally, there is the need for additional efforts at constraining aerosol source strength and other model attributes with multi-platform observations. </jats:p>
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Cloud condensation nuclei concentrations derived from the CAMS reanalysis

Copernicus Publications (2025)

Authors:

Karoline Block, Mahnoosh Haghighatnasab, Daniel G Partridge, Philip Stier, Johannes Quaas
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Comparing ML retrieved and invisible ship tracks to probe the meteorological dependence of cloud susceptibility to aerosol

Copernicus Publications (2025)

Authors:

Peter Manshausen, Duncan Watson-Parris, Philip Stier
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Invertible Neural Networks for Probabilistic Aerosol Optical Depth Retrieval

IEEE Transactions on Geoscience and Remote Sensing Institute of Electrical and Electronics Engineers (IEEE) 63 (2025) 1-13

Authors:

Paolo Pelucchi, Jorge Vicent Servera, Philip Stier, Gustau Camps-Valls
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Statistical constraints on climate model parameters using a scalable cloud-based inference framework – CORRIGENDUM

Environmental Data Science Cambridge University Press (CUP) 4 (2025)

Authors:

James Carzon, Bruno Abreu, Leighton Regayre, Kenneth Carslaw, Lucia Deaconu, Philip Stier, Hamish Gordon, Mikael Kuusela
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