Within the ongoing DWD-KIT cooperation on radar data correction and merging, we present a new framework for evaluating precipitation merging methods. We implemented a parallelized leave-many-out validation setup to systematically test several adjustment methods available in mergplg, an open-source collection of such methods. The focus is on benchmarking existing merging techniques before developing novel approaches, including AI-based methods, to improve quality and temporal resolution in adjusted radar precipitation fields.
Please feel free to share this
invitation with interested colleagues at KIT.
Within the ongoing DWD-KIT cooperation on radar data correction and merging, we present a new framework for evaluating precipitation merging methods. We implemented a parallelized leave-many-out validation setup to systematically test several adjustment methods available in mergplg, an open-source collection of such methods. The focus is on benchmarking existing merging techniques before developing novel approaches, including AI-based methods, to improve quality and temporal resolution in adjusted radar precipitation fields.
\n\n
\nPlease feel free to share this invitation with
interested colleagues at KIT.
\n\n
\n DTSTART;TZID=Europe/Berlin:20261022T130000 DTEND;TZID=Europe/Berlin:20261022T120000 LOCATION:KIT Campus Nord, IMKAAF, Gebäude 326, Raum 150, END:VEVENT BEGIN:VEVENT UID: 63145 DTSTAMP:20261017T014126Z SUMMARY:Study of Glaciogenic Cloud Seeding Particles: Design of an Ice Particle Replicator for In-Cloud Sampling X-ALT-DESC;FMTTYPE=text/html:
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\n DTSTART;TZID=Europe/Berlin:20261026T110000 DTEND;TZID=Europe/Berlin:20261026T120000 LOCATION:KIT Campus Nord, IMKAAF, Gebäude 326, Raum 150, END:VEVENT BEGIN:VEVENT UID: 63157 DTSTAMP:20261017T014126Z SUMMARY:Climate impact of soil dust and volcanic ash through aerosol-cloud interactions X-ALT-DESC;FMTTYPE=text/html:
Atmospheric aerosols play a key role in the Earth’s system by interacting with radiation, clouds, chemistry, and biogeochemistry, thereby affecting climate, air quality, hydrological and biogeochemical cycles. In this presentation, I will show results on the climate impact of agricultural dust (AD) and volcanic ash (VA) through their interactions with clouds by acting as ice nucleating particles (INPs). We examine the global distribution and seasonal variability of AD impacts on mixed-phase cloud properties and the Earth’s radiation budget. By analyzing satellite observations of cirrus microphysics and aerosol extinction we show that microphysics of midlatitude cirrus clouds is altered by the enhanced stratospheric aerosol loadings produced by moderate-magnitude midlatitude explosive eruptions, indicative of heterogeneous ice nucleation on VA suppressing the homogeneous freezing. This motivates us to quantify the efficacy of cirrus cloud thinning (CCT) by injecting dust INPs in a global climate model with improved representations of ice nucleation and gravity waves.
Atmospheric aerosols play a key role in the Earth’s system by interacting with radiation, clouds, chemistry, and biogeochemistry, thereby affecting climate, air quality, hydrological and biogeochemical cycles. In this presentation, I will show results on the climate impact of agricultural dust (AD) and volcanic ash (VA) through their interactions with clouds by acting as ice nucleating particles (INPs). We examine the global distribution and seasonal variability of AD impacts on mixed-phase cloud properties and the Earth’s radiation budget. By analyzing satellite observations of cirrus microphysics and aerosol extinction we show that microphysics of midlatitude cirrus clouds is altered by the enhanced stratospheric aerosol loadings produced by moderate-magnitude midlatitude explosive eruptions, indicative of heterogeneous ice nucleation on VA suppressing the homogeneous freezing. This motivates us to quantify the efficacy of cirrus cloud thinning (CCT) by injecting dust INPs in a global climate model with improved representations of ice nucleation and gravity waves.
\n DTSTART;TZID=Europe/Berlin:20261027T151500 DTEND;TZID=Europe/Berlin:20261027T161500 LOCATION:KIT Campus Nord, Gebäude 435, Seminarraum 2.05 END:VEVENT BEGIN:VEVENT UID: 63171 DTSTAMP:20261017T014126Z SUMMARY:Climate impact of soil dust and volcanic ash through aerosol-cloud interactions X-ALT-DESC;FMTTYPE=text/html:Atmospheric aerosols play a key role in the Earth’s system by interacting with radiation, clouds, chemistry, and biogeochemistry, thereby affecting climate, air quality, hydrological and biogeochemical cycles. In this presentation, I will show results on the climate impact of agricultural dust (AD) and volcanic ash (VA) through their interactions with clouds by acting as ice nucleating particles (INPs). We examine the global distribution and seasonal variability of AD impacts on mixed-phase cloud properties and the Earth’s radiation budget. By analyzing satellite observations of cirrus microphysics and aerosol extinction we show that microphysics of midlatitude cirrus clouds is altered by the enhanced stratospheric aerosol loadings produced by moderate-magnitude midlatitude explosive eruptions, indicative of heterogeneous ice nucleation on VA suppressing the homogeneous freezing. This motivates us to quantify the efficacy of cirrus cloud thinning (CCT) by injecting dust INPs in a global climate model with improved representations of ice nucleation and gravity waves.
Atmospheric aerosols play a key role in the Earth’s system by interacting with radiation, clouds, chemistry, and biogeochemistry, thereby affecting climate, air quality, hydrological and biogeochemical cycles. In this presentation, I will show results on the climate impact of agricultural dust (AD) and volcanic ash (VA) through their interactions with clouds by acting as ice nucleating particles (INPs). We examine the global distribution and seasonal variability of AD impacts on mixed-phase cloud properties and the Earth’s radiation budget. By analyzing satellite observations of cirrus microphysics and aerosol extinction we show that microphysics of midlatitude cirrus clouds is altered by the enhanced stratospheric aerosol loadings produced by moderate-magnitude midlatitude explosive eruptions, indicative of heterogeneous ice nucleation on VA suppressing the homogeneous freezing. This motivates us to quantify the efficacy of cirrus cloud thinning (CCT) by injecting dust INPs in a global climate model with improved representations of ice nucleation and gravity waves.
\n DTSTART;TZID=Europe/Berlin:20261027T151500 DTEND;TZID=Europe/Berlin:20261027T161500 LOCATION:KIT Campus Nord, IMKAAF, Gebäude 435, Raum 205, END:VEVENT BEGIN:VEVENT UID: 63030 DTSTAMP:20261017T014126Z SUMMARY:In-Situ Characterization of Cloud Particle Properties via Multi-Angular Polarimetric Scattering X-ALT-DESC;FMTTYPE=text/html:
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\n DTSTART;TZID=Europe/Berlin:20261102T110000 DTEND;TZID=Europe/Berlin:20261102T120000 LOCATION:KIT Campus Nord, IMKAAF, Gebäude 326, Raum 150, END:VEVENT BEGIN:VEVENT UID: 63111 DTSTAMP:20261017T014126Z SUMMARY:TRO-Seminar X-ALT-DESC;FMTTYPE=text/html:
(1) tbd (2) Contribution of Saharan Dust to Particle Matter Variability in Baden-Württemberg (3) Measuring wind in complex terrain - intercomparison of airborne and ground-based Doppler lidar observations during TEAMx(4) Evaluation of multi-Doppler radar flow observations in complex terrain using ground-based Doppler lidars
(1) tbd (2) Contribution of Saharan Dust to Particle Matter Variability in Baden-Württemberg (3) Measuring wind in complex terrain - intercomparison of airborne and ground-based Doppler lidar observations during TEAMx(4) Evaluation of multi-Doppler radar flow observations in complex terrain using ground-based Doppler lidars
\n DTSTART;TZID=Europe/Berlin:20261105T134500 DTEND;TZID=Europe/Berlin:20261105T161500 LOCATION:KIT Campus Süd, Gebäude 30.23, 13. OG, Raum13-02 END:VEVENT BEGIN:VEVENT UID: 63152 DTSTAMP:20261017T014126Z SUMMARY:tbd X-ALT-DESC;FMTTYPE=text/html:tbd
tbd
\n\n\n DTSTART;TZID=Europe/Berlin:20261110T154500 DTEND;TZID=Europe/Berlin:20261110T164500 LOCATION:KIT Campus Süd, Gebäude 30.22, Otto-Lehmann-Hörsaal END:VEVENT BEGIN:VEVENT UID: 62735 DTSTAMP:20261017T014126Z SUMMARY:Overview on Cloud Seeding with AgI from an Operational and Research Perspective X-ALT-DESC;FMTTYPE=text/html:
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\n DTSTART;TZID=Europe/Berlin:20261116T110000 DTEND;TZID=Europe/Berlin:20261116T120000 LOCATION:KIT Campus Nord, IMKAAF, Gebäude 326, Raum 150, END:VEVENT BEGIN:VEVENT UID: 63153 DTSTAMP:20261017T014126Z SUMMARY:From atmospheric models to decisions: coordinating climate, health, and environmental justice policies X-ALT-DESC;FMTTYPE=text/html:
This presentation explores how advanced sensitivity analysis methods within an atmospheric chemical transport model (CTM) can be used to inform air quality management decisions. We do so by developing and applying reverse sensitivity (or adjoint) method in a state-of-the-art CTM to various applications. These applications demonstrate how an adjoint model provides unparalleled granularity across locations and emission sectors. As a prime example, the method is applied to examine the impact of decarbonization policies on air quality by estimating co-benefits of reducing CO2 emissions from a range of combustion sources. Location-specific sectoral co-benefits will be presented at local, national, and hemispheric resolutions. The adjoint-derived results are novel in two important ways. First, they provide location-specific health co-benefit estimates for various sectors and at different resolutions. Second, we show how the method can be extended to estimate location-specific environmental justice co-benefits at urban scale. Population health and environmental justice co-benefits can also be calculated as monetized estimates (i.e., $/ton-CO2), allowing for direct comparison with the social cost of carbon as a combined measure of societal impact. Health co-benefit estimates for the year 2016, and for the northern hemisphere (108 km), the United States (12 km), and the city of Los Angeles (1 km) will be presented as examples. Environmental justice co-benefits are calculated for Los Angeles and for exposure disparities with respect to race and income. The results demonstrate how location-specific co-benefits may be used to conduct a more holistic, and yet granular accounting of benefits of decarbonization. Furthermore, we discuss how the inclusion of population health and environmental justice in the accounting of mitigation benefits has the potential to expand the narrative and broaden the reach of climate discourse among decision makers and the public alike.
This presentation explores how advanced sensitivity analysis methods within an atmospheric chemical transport model (CTM) can be used to inform air quality management decisions. We do so by developing and applying reverse sensitivity (or adjoint) method in a state-of-the-art CTM to various applications. These applications demonstrate how an adjoint model provides unparalleled granularity across locations and emission sectors. As a prime example, the method is applied to examine the impact of decarbonization policies on air quality by estimating co-benefits of reducing CO2 emissions from a range of combustion sources. Location-specific sectoral co-benefits will be presented at local, national, and hemispheric resolutions. The adjoint-derived results are novel in two important ways. First, they provide location-specific health co-benefit estimates for various sectors and at different resolutions. Second, we show how the method can be extended to estimate location-specific environmental justice co-benefits at urban scale. Population health and environmental justice co-benefits can also be calculated as monetized estimates (i.e., $/ton-CO2), allowing for direct comparison with the social cost of carbon as a combined measure of societal impact. Health co-benefit estimates for the year 2016, and for the northern hemisphere (108 km), the United States (12 km), and the city of Los Angeles (1 km) will be presented as examples. Environmental justice co-benefits are calculated for Los Angeles and for exposure disparities with respect to race and income. The results demonstrate how location-specific co-benefits may be used to conduct a more holistic, and yet granular accounting of benefits of decarbonization. Furthermore, we discuss how the inclusion of population health and environmental justice in the accounting of mitigation benefits has the potential to expand the narrative and broaden the reach of climate discourse among decision makers and the public alike.
\n DTSTART;TZID=Europe/Berlin:20261117T154500 DTEND;TZID=Europe/Berlin:20261117T164500 LOCATION:KIT Campus Süd, Gebäude 30.22, Otto-Lehmann-Hörsaal END:VEVENT BEGIN:VEVENT UID: 63128 DTSTAMP:20261017T014126Z SUMMARY:TRO-Seminar X-ALT-DESC;FMTTYPE=text/html:(1) tbd (2) tbd (3) tbd (4) Hail Risk and Hail Severity in Climate Change
(1) tbd (2) tbd (3) tbd (4) Hail Risk and Hail Severity in Climate Change
\n DTSTART;TZID=Europe/Berlin:20261119T134500 DTEND;TZID=Europe/Berlin:20261119T161500 LOCATION:KIT Campus Süd, Gebäude 3023, 13. OG, Seminarraum 13-02 END:VEVENT BEGIN:VEVENT UID: 63130 DTSTAMP:20261017T014126Z SUMMARY:TRO-Seminar X-ALT-DESC;FMTTYPE=text/html:(1) tbd (2) tbd (3) Postprocessing ECMWF S2S Precipitation Forecasts over Sub-Saharan Africa using statistical and machine learning methods (4) European Hail Risk under Climate Change (HAR-CC)
(1) tbd (2) tbd (3) Postprocessing ECMWF S2S Precipitation Forecasts over Sub-Saharan Africa using statistical and machine learning methods (4) European Hail Risk under Climate Change (HAR-CC)
\n DTSTART;TZID=Europe/Berlin:20261203T134500 DTEND;TZID=Europe/Berlin:20261203T161500 LOCATION:KIT Campus Süd, Gebäude 30.23, 13. OG, Seminarraum 13-02 END:VEVENT BEGIN:VEVENT UID: 63135 DTSTAMP:20261017T014126Z SUMMARY:TRO-Seminar X-ALT-DESC;FMTTYPE=text/html:(1) Elucidating the impact of rain on shallow convective organization using long-term observations of downdrafts (2) tbd (3) tbd (4) tbd
(1) Elucidating the impact of rain on shallow convective organization using long-term observations of downdrafts (2) tbd (3) tbd (4) tbd
\n DTSTART;TZID=Europe/Berlin:20261217T134500 DTEND;TZID=Europe/Berlin:20261217T161500 LOCATION:KIT Campus Süd, Gebäude 30.23, 13. OG, Seminarraum 13-02 END:VEVENT BEGIN:VEVENT UID: 63154 DTSTAMP:20261017T014126Z SUMMARY:On the scale dependency and generation of longwave atmospheric cloud-radiative effects X-ALT-DESC;FMTTYPE=text/html:Longwave atmospheric cloud-radiative effect (LW ACRE) is important in supporting a variety of spatially organized moist systems in tropical weather and climate, from tropical cyclones, the Madden-Julian oscillation (MJO), to Walker circulation. Our works aim to understand the fundamental properties and the processes that generate the feedback between LW ACRE and tropical precipitating convection. I will discuss two major findings. (1) We explain why LW ACRE only supports larger-scale circulations, as in the MJO but not in mesoscale convective systems (MCSs), by studying a field campaign MCS case. (2) Why does such scale dependency exist? We propose a minimal conceptual recipe to quantitatively describe the scale dependency of LW-convection feedback by simply assuming that anvil clouds, which primarily generate LW ACRE, act as long-term memory of precipitation. The scale dependency of LW-convection feedback is, thus, a natural emerging property of longer memory of anvil clouds than precipitation. Finally, I will discuss how this conceptual model may provide information of how anvil LW ACRE is generated in tropical convective systems.
Longwave atmospheric cloud-radiative effect (LW ACRE) is important in supporting a variety of spatially organized moist systems in tropical weather and climate, from tropical cyclones, the Madden-Julian oscillation (MJO), to Walker circulation. Our works aim to understand the fundamental properties and the processes that generate the feedback between LW ACRE and tropical precipitating convection. I will discuss two major findings. (1) We explain why LW ACRE only supports larger-scale circulations, as in the MJO but not in mesoscale convective systems (MCSs), by studying a field campaign MCS case. (2) Why does such scale dependency exist? We propose a minimal conceptual recipe to quantitatively describe the scale dependency of LW-convection feedback by simply assuming that anvil clouds, which primarily generate LW ACRE, act as long-term memory of precipitation. The scale dependency of LW-convection feedback is, thus, a natural emerging property of longer memory of anvil clouds than precipitation. Finally, I will discuss how this conceptual model may provide information of how anvil LW ACRE is generated in tropical convective systems.
\n DTSTART;TZID=Europe/Berlin:20270112T154500 DTEND;TZID=Europe/Berlin:20270112T164500 LOCATION:KIT Campus Süd, Gebäude 30.22, Otto-Lehmann-Hörsaal END:VEVENT BEGIN:VEVENT UID: 63141 DTSTAMP:20261017T014126Z SUMMARY:TRO-Seminar X-ALT-DESC;FMTTYPE=text/html:(1) tbd (2) tbd (3) tbd (4) tbd
(1) tbd (2) tbd (3) tbd (4) tbd
\n DTSTART;TZID=Europe/Berlin:20270114T134500 DTEND;TZID=Europe/Berlin:20270114T161500 LOCATION:KIT Campus Süd, Gebäude 30.23, 13. OG, Seminarraum 13-02 END:VEVENT BEGIN:VEVENT UID: 63155 DTSTAMP:20261017T014126Z SUMMARY:Look What You Made Me Do: Global Atmospheric Chemistry and the Biosphere X-ALT-DESC;FMTTYPE=text/html:The biosphere is a
source and sink of gases and particles to the atmosphere. Thus, the
biosphere sets the natural or
“preindustrial”
chemical composition of the atmosphere. Human activity and climate
change can perturb the
emissions to, deposition from, and
chemistry within, the troposphere. At the same time, air pollution can
impact
global ecosystem health, with implications for climate
and food security. In this seminar, I will illustrate these ideas
with some recent studies from my group, highlighting in
particular: (1) fire as a source of ozone and aerosols, (2)
preindustrial
to future evolution of biogenic organic aerosol,
and (3) the impact of ozone and air pollution on natural and
managed ecosystem health.
The biosphere is a source and sink of gases
and particles to the atmosphere. Thus, the biosphere sets the natural
or
\n“preindustrial” chemical composition of the atmosphere.
Human activity and climate change can perturb the
\nemissions to,
deposition from, and chemistry within, the troposphere. At the same
time, air pollution can impact
\nglobal ecosystem health, with
implications for climate and food security. In this seminar, I will
illustrate these ideas
\nwith some recent studies from my group,
highlighting in particular: (1) fire as a source of ozone and aerosols,
(2) preindustrial
\nto future evolution of biogenic organic
aerosol, and (3) the impact of ozone and air pollution on natural and
\nmanaged ecosystem health.
(1) tbd (2) tbd (3) tbd (4) tbd
(1) tbd (2) tbd (3) tbd (4) tbd
\n DTSTART;TZID=Europe/Berlin:20270128T134500 DTEND;TZID=Europe/Berlin:20270128T161500 LOCATION:KIT Campus Süd, Gebäude 30.23, 13. OG, Seminarraum 13-02 END:VEVENT BEGIN:VEVENT UID: 63139 DTSTAMP:20261017T014126Z SUMMARY:TRO-Seminar X-ALT-DESC;FMTTYPE=text/html:(1) Observing mesoscale variability with KITsondes during NAWDIC (2) Improving Subseasonal Weather Forecast using Tropical Weighting: A Fine-Tuned 2D Transformer (3) Callie Maier (4) tbd
(1) Observing mesoscale variability with KITsondes during NAWDIC (2) Improving Subseasonal Weather Forecast using Tropical Weighting: A Fine-Tuned 2D Transformer (3) Callie Maier (4) tbd
\n DTSTART;TZID=Europe/Berlin:20270211T134500 DTEND;TZID=Europe/Berlin:20270211T161500 LOCATION:KIT Campus Süd, Gebäude 30.23, 13. OG, Seminarraum 13-02 END:VEVENT BEGIN:VEVENT UID: 63158 DTSTAMP:20261017T014126Z SUMMARY:From Hailstones to Impacts: Bridging Scales in Severe Convection Research X-ALT-DESC;FMTTYPE=text/html:Hail and severe convective storms rank among the most damaging weather hazards in Central Europe. Relevant processes span a range of scales: from hailstone growth at the microphysical level over storm dynamics and organization on the mesoscale to larger-scale synoptic environments and long-term climate change. The analysis of societal risk adds complexity, since impacts depend on exposure, vulnerability, and how extremes combine. This talk brings together several lines of research, linking processes to impacts across scales. Firstly, we investigate if we can learn about relevant processes from machine learning models that predict observed hail stone sizes. Secondly, on a regional scale, we explore whether emerging convective hotspots around the European Alps can be connected to large-scale patterns. Finally, we focus on impact relevance, presenting resampling and storyline approaches that allow for process-sensitive risk modeling to address both short-term and long-term impact assessments.
Hail and severe convective storms rank among the most damaging weather hazards in Central Europe. Relevant processes span a range of scales: from hailstone growth at the microphysical level over storm dynamics and organization on the mesoscale to larger-scale synoptic environments and long-term climate change. The analysis of societal risk adds complexity, since impacts depend on exposure, vulnerability, and how extremes combine. This talk brings together several lines of research, linking processes to impacts across scales. Firstly, we investigate if we can learn about relevant processes from machine learning models that predict observed hail stone sizes. Secondly, on a regional scale, we explore whether emerging convective hotspots around the European Alps can be connected to large-scale patterns. Finally, we focus on impact relevance, presenting resampling and storyline approaches that allow for process-sensitive risk modeling to address both short-term and long-term impact assessments.
\n DTSTART;TZID=Europe/Berlin:20270216T154500 DTEND;TZID=Europe/Berlin:20270216T164500 LOCATION:KIT Campus Süd, Gebäude 30.22, Otto-Lehmann-Hörsaal END:VEVENT BEGIN:VEVENT UID: 63140 DTSTAMP:20261017T014126Z SUMMARY:TRO-Seminar X-ALT-DESC;FMTTYPE=text/html:(1) tbd (2) tbd (3) tbd (4) tbd
(1) tbd (2) tbd (3) tbd (4) tbd
\n DTSTART;TZID=Europe/Berlin:20270218T134500 DTEND;TZID=Europe/Berlin:20270218T161500 LOCATION:KIT Campus Süd, Gebäude 30.23, 13. OG, Semnarraum 13-02 END:VEVENT END:VCALENDAR