Paul Keil

ORCID: 0000-0002-6502-4148
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Climate variability and models
  • Meteorological Phenomena and Simulations
  • Atmospheric and Environmental Gas Dynamics
  • Oceanographic and Atmospheric Processes
  • Marine and coastal ecosystems
  • Geology and Paleoclimatology Research
  • Complex Systems and Time Series Analysis
  • Tropical and Extratropical Cyclones Research
  • Atmospheric aerosols and clouds

German Climate Computing Centre
2023-2024

Max Planck Institute for Meteorology
2020-2024

Max Planck Institute for Comparative and International Private Law
2023

High-resolution modelling of air pollutants such as NO2 and PM2.5 is an essential step in the quantification impacts on human health, especially urban areas. Often, uses relatively coarse-resolution chemistry transport models (CTMs), which exhibit biases when compared to measurements cannot consider heterogenity pollutant concentrations.This study develops a machine learning (ML) framework downscale CAMS regional quality reanalyses for from approximately 10×10 km² (0.1...

10.5194/egusphere-egu25-9157 preprint EN 2025-03-14

Abstract. Global storm-resolving models (GSRMs) use strongly refined horizontal grids compared with the climate typically used in Coupled Model Intercomparison Project (CMIP) but employ comparable vertical grid spacings. Here, we study how changes spacing and adjustments to integration time step affect basic quantities simulated by ICON-Sapphire atmospheric GSRM. Simulations are performed over a 45 d period for five different between 55 540 layers maximum tropospheric spacings of 800 50 m,...

10.5194/gmd-17-1563-2024 article EN cc-by Geoscientific model development 2024-02-22

Abstract The vertical temperature structure in the tropics is primarily set by convection and therefore follows a moist adiabat to first order. However, tropical upper tropospheric temperatures differ among climate models observations, as atmospheric remains poorly understood. Here, we quantify variations lapse rates CMIP6 explore reasons for these variations. We find that differences surface weighted regions of strongest cannot explain hypothesise representation itself associated small...

10.1175/jcli-d-21-0196.1 article EN Journal of Climate 2021-09-29

Abstract. Global storm-resolving models (GSRM) use strongly refined horizontal grids in comparison to climate typically used the Coupled Model Intercomparison Project (CMIP) but comparable vertical grid spacings. Here, we study how changes spacing and adjustments of integration time step affect basic quantities simulated by ICON-Sapphire atmospheric GSRM. Simulations are performed over a 45-day period for five different having between 55 540 layers maximum tropospheric spacings 800 50 m. The...

10.5194/egusphere-2023-1575 preprint EN cc-by 2023-08-22

Abstract The North Atlantic subpolar gyre (SPG) plays a crucial role in determining the regional ocean surface temperature (SST), which has profound implications on surrounding continental and coastal climate. Here, we analyze Max Planck Institute-Grand Ensemble global warming experiments show that SPG can evolve two distinct phases under continuous warming. In first phase, as mean approaches 2-K warming, eastern intensifies combination with weakening meridional overturning circulation...

10.1175/jcli-d-22-0222.1 article EN cc-by Journal of Climate 2022-11-30

Abstract Horizontal temperature gradients in the tropical free troposphere are fairly weak, and tropospheric warming is usually treated as uniform. However, we show here that projected spatially inhomogeneous Coupled Model Intercomparison Project Phase 6 models, well a storm‐resolving climate model. We relate upper pattern to sea‐surface changes reorganise convection thereby cause spatial shifts convective heating. Using classical Gill model for circulation forcing it with precipitation...

10.1002/qj.4526 article EN cc-by-nc Quarterly Journal of the Royal Meteorological Society 2023-07-17

<p>The tropospheric lapse rate in the tropics follows a moist adiabat quite closely and is mainly set by surface temperature humidity convecting regions. Therefore, warming or biases at are transferred via to upper troposphere. However, climate models show large discrepancies troposphere recent observed around 0.5K weaker than predicted theory. Here we use control simulations of CMIP5 ensemble that differences exist mean state unrelated inter-model lower In fact, diverge...

10.5194/egusphere-egu2020-9467 article EN 2020-03-09
Coming Soon ...