Jan Čermák

ORCID: 0000-0002-4240-595X
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About
Contact & Profiles
Research Areas
  • Atmospheric aerosols and clouds
  • Atmospheric chemistry and aerosols
  • Meteorological Phenomena and Simulations
  • Atmospheric and Environmental Gas Dynamics
  • Aeolian processes and effects
  • Atmospheric Ozone and Climate
  • Wind and Air Flow Studies
  • Climate variability and models
  • Solar Radiation and Photovoltaics
  • Cyclone Separators and Fluid Dynamics
  • Fluid Dynamics and Mixing
  • Urban Heat Island Mitigation
  • Nuclear Engineering Thermal-Hydraulics
  • Air Quality and Health Impacts
  • Granular flow and fluidized beds
  • Nuclear reactor physics and engineering
  • Magneto-Optical Properties and Applications
  • Air Quality Monitoring and Forecasting
  • Tropical and Extratropical Cyclones Research
  • Nuclear and radioactivity studies
  • Mineral Processing and Grinding
  • Heat transfer and supercritical fluids
  • Heat Transfer and Boiling Studies
  • Impact of Light on Environment and Health
  • Calibration and Measurement Techniques

Karlsruhe Institute of Technology
2016-2025

Centre Interdisciplinaire de Recherche en Biologie
2022-2024

Max Planck Institute for Meteorology
2022-2024

Czech Academy of Sciences, Institute of Physics
2024

University of Chemistry and Technology, Prague
2022

University of Basel
2019

Ruhr University Bochum
2012-2019

University of Bonn
2019

American Society for Photogrammetry and Remote Sensing
2018

University Hospitals of the Ruhr-University of Bochum
2015

Abstract Recent coordinated efforts, in which numerous general circulation climate models have been run for a common set of experiments, produced large datasets projections future various scenarios. Those multimodel ensembles sample initial conditions, parameters, and structural uncertainties the model design, they prompted variety approaches to quantifying uncertainty change. International change assessments also rely heavily on these models. These often provide equal-weighted averages as...

10.1175/2009jcli3361.1 article EN Journal of Climate 2009-12-28

Aerosol-cloud interactions (ACIs) are considered to be the most uncertain driver of present-day radiative forcing due human activities. The nonlinearity cloud-state changes aerosol perturbations make it challenging attribute causality in observed relationships forcing. Using correlations infer can when meteorological variability also drives both and cloud independently. Natural anthropogenic from well-defined sources provide "opportunistic experiments" (also known as natural experiments)...

10.5194/acp-22-641-2022 article EN cc-by Atmospheric chemistry and physics 2022-01-17

Abstract. Air pollution, in particular high concentrations of particulate matter smaller than 1 µm diameter (PM1), continues to be a major health problem, and meteorology is known substantially influence atmospheric PM concentrations. However, the scientific understanding ways which complex interactions meteorological factors lead high-pollution episodes inconclusive. In this study, novel, data-driven approach based on empirical relationships used characterize better understand...

10.5194/acp-21-3919-2021 article EN cc-by Atmospheric chemistry and physics 2021-03-17

Global land surface temperature (LST) data derived from satellite-based infrared radiance measurements are highly valuable for various applications in climate research. While situ validation of satellite LST sets is a challenging task, it needed to obtain quantitative information on their accuracy. In the standardised approach multi-sensor presented here first time, obtained with state-of-the-art retrieval algorithms several sensors (AATSR, GOES, MODIS, and SEVIRI) matched spatially...

10.3390/rs11050479 article EN cc-by Remote Sensing 2019-02-26

Abstract. This paper presents the first investigation of solubility iron in mineral dust aerosols collected at Henties Bay Aerosol Observatory (HBAO), Namibia, from April to December 2017. During study period, 10 intense events occurred. Elemental reached peak concentrations as high 1.5 µg m−3, significantly higher than background levels. These are attributed wind erosion natural soils surrounding gravel plains Namib desert. The composition sampled is found be overall similar that northern...

10.5194/acp-24-1525-2024 article EN cc-by Atmospheric chemistry and physics 2024-01-31

Abstract [1] Complexity and resolution of global climate models are steadily increasing, yet the uncertainty their projections remains large, particularly for precipitation. Given impacts precipitation changes have on ecosystems, there is a need to reduce projection by assessing performance models. A common way evaluating consider maps errors against observations range variables. However, depending purpose, feature-based metrics defined regional scale one variable may be more suitable...

10.1029/2010jd014963 article EN Journal of Geophysical Research Atmospheres 2011-05-26

Abstract Marine low clouds cool the Earth's climate, with their coverage (LCC) being controlled by environment. Here, an observed significant decrease of LCC in northeastern Pacific over past two decades is linked quantitatively to changes cloud‐controlling factors. In a comparison different statistical and machine learning methods, inversion strength near‐surface winds, increase sea surface temperatures (SSTs) are unanimously shown be main causes decrease. While decreased leads more...

10.1029/2021gl096498 article EN cc-by Geophysical Research Letters 2022-01-19

The film thickness and wall shear stress were measured simultaneously by electrodiffusional capacitance methods. Experimental data confronted with the existing theories of gravity flow non-Newtonian liquids in wavy films free surface.

10.1135/cccc19870913 article EN Collection of Czechoslovak Chemical Communications 1987-01-01

A new experimental method for the evaluation of minimum fluidizing velocity in gas fluidized beds is proposed based on pressure fluctuations measurements. The determined solely from measurements bed regime, unlike traditional method, where experiments fixed regime are also necessary. Using on-line and prediction possible which important control industrial reactors.

10.1080/00986448508911219 article EN Chemical Engineering Communications 1985-05-01

The detection of ground fog from satellite data is interest in operational nowcasting applications, as well studies the climate system. A discrimination between at and other low-stratus situations requires information on cloud vertical geometry to establish whether touches ground. This article introduces a technique that allows for low stratus (ground) basis geostationary imagery. cloud-base height derived using subadiabatic model microphysics. In this model, base varied until liquid–water...

10.1080/01431161003747505 article EN International Journal of Remote Sensing 2011-06-20

Abstract. The role of aerosols, clouds and their interactions with radiation remain among the largest unknowns in climate system. Even though processes involved are complex, aerosol–cloud often analyzed by means bivariate relationships. In this study, 15 years (2001–2015) monthly satellite-retrieved near-global aerosol products combined reanalysis data various meteorological parameters to predict satellite-derived marine liquid-water cloud occurrence properties region-specific artificial...

10.5194/acp-17-9535-2017 article EN cc-by Atmospheric chemistry and physics 2017-08-08

Due to the significant impact of fog and low stratus (FLS) on economy, ecology traffic systems, there is a growing demand for high‐resolution information FLS occurrence. In this study, baseline climatology h day −1 based data recorded from 2006–2015 by Spinning Enhanced Visible Infrared Imager system (SEVIRI) aboard Meteosat Second Generation satellites computed Europe provide requested information. It first 10 year, spatially explicit with temporal resolution 15 min. The dataset validated...

10.1002/qj.2941 article EN Quarterly Journal of the Royal Meteorological Society 2016-10-13

Abstract. Fog and low clouds (FLCs) are a typical feature along the southwestern African coast, especially in central Namib, where fog constitutes valuable resource of water for many ecosystems. In this study, novel algorithm is presented to detect FLCs over land from geostationary satellite data using only infrared observations. The first its kind as it stationary time thus able reveal detailed view diurnal spatial patterns Namib region. A validation against net radiation measurements...

10.5194/amt-11-5461-2018 article EN cc-by Atmospheric measurement techniques 2018-10-05

Abstract. Fog is a defining characteristic of the climate Namib Desert, and its water nutrient input are important for local ecosystems. In part due to sparse observation data, mechanisms that lead fog occurrence in not yet fully understood, date, potential synoptic-scale controls have been investigated. this study, recently established 14-year data set satellite observations low clouds central analyzed conjunction with reanalysis order identify patterns associated low-cloud variability...

10.5194/acp-20-3415-2020 article EN cc-by Atmospheric chemistry and physics 2020-03-24

Abstract. In the Namib Desert, fog is only regular water input and, thus, a crucial source for its fauna and flora. Each year, between June October, absorbing biomass burning aerosols (BBAs) overlie stratocumulus clouds in adjacent Southeast Atlantic. some synoptic settings, this layer of BBAs reaches Namibia desert, where it interacts with coastal low (FLCs). study, novel 15-year data set geostationary satellite observations FLC dissipation time Desert used, along reanalysis data, to better...

10.5194/acp-25-491-2025 article EN cc-by Atmospheric chemistry and physics 2025-01-15

TEAMx (multi-scale transport and exchange processes in the atmosphere over mountains – programme experiment) is an international research program that aims at improving our understanding of complex terrain evaluating representation these numerical weather climate prediction models. As part TEAMx, a one-year long field campaign, Observational Campaign (TOC), started September 2024, with dedicated observations being conducted four target areas aligned approximate north-south cross...

10.5194/egusphere-egu25-5859 preprint EN 2025-03-14

In this contribution, a statistical model built on observations (ERA5, SEVIRI) is used with climate data from the Coupled Model Intercomparison Project Phase 6 (CMIP6) to estimate cloud-system responses change in Namib desert.Fog, which most relevant non-rainfall water source for plants and animals coastal parts of Desert, may become increasingly important local ecosystems as regional simulations predict warmer drier southern Africa future. However, projecting changes fog using global...

10.5194/egusphere-egu25-8750 preprint EN 2025-03-14

In this study, ground-based remote sensing and in-situ measurements are combined to characterize estimate cloud base height (CBH) development patterns of fog low clouds (FLC). The estimated CBH is further integrated with satellite data map in the Namib Desert for first time.The Desert, characterized by its hyper-arid conditions frequent coverage or level stratus clouds, presents an intriguing environment study low-level their vertical geometry. Understanding dynamics region crucial improving...

10.5194/egusphere-egu25-12492 preprint EN 2025-03-15

Fog is typically a very low cloud touching the ground and consists of tiny liquid droplets or ice particles. Ice fog can form in cold areas such as polar regions high mountains at temperatures below -30°C. Few field campaigns have focused on fewer shown presence warmer temperatures, suggesting that limitation time space may lead to an underestimation this phenomenon with implications biosphere estimation Earth's energy budget.By analysing CALIOP data from 2006 2023, we found...

10.5194/egusphere-egu25-6541 preprint EN 2025-03-14
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