Veranstaltungskalender

 
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22.Okt
11:00
Online
(1) Maximilian Graf and Tanja Winterrath (2) Christian Chwala, (1) DWD (2) IMKIFU
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.
22.Okt
13:00
KIT Campus Nord, IMKAAF
Gebäude 326, Raum 150 …
Chieh-Sen Tsai, KIT, IMKAAF
 
 
26.Okt
11:00
Seminar
tbd
KIT Campus Nord, IMKAAF
Gebäude 326, Raum 150 …
Laura Arnold, KIT, IMKAAF
 
 
02.Nov
11:00
KIT Campus Nord, IMKAAF
Gebäude 326, Raum 150 …
Anuschka Beneke, KIT, IMKAAF
 
 
05.Nov
13:45
Seminar
TRO-Seminar
KIT Campus Süd, Gebäude 30.23, 13. OG, Raum13-02
(1) Marc Ebert (2) Dev Arpan (3) Loren Schaeffler (4) Yukun Yang
(1) tbd (2) Contribution of Saharan Dust to Particle Matter Variability in Baden-Württemberg (3) tbd (4) tbd
10.Nov
15:45
Kolloquium
tbd
KIT Campus Süd, Gebäude 30.22, Otto-Lehmann-Hörsaal
Prof. Dr. Daniela Domeisen, University of Lausanne
tbd
 
16.Nov
11:00
KIT Campus Nord, IMKAAF
Gebäude 326, Raum 150 …
Arnaldo Bartoli, KIT, IMKAAF
 
 
17.Nov
15:45
KIT Campus Süd, Gebäude 30.22, Otto-Lehmann-Hörsaal
Prof. Dr. Amir Hakami, Carleton University, Canada
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.
19.Nov
13:45
Seminar
TRO-Seminar
KIT Campus Süd, Gebäude 3023, 13. OG, Seminarraum 13-02
(1) Pragallva Barpanda (2) tbd (3) Nina Robbins Blanch (4) Markus Augenstein, Chair: Maria Laura Pinilla Pinto
(1) tbd (2) tbd (3) tbd (4) Hail Risk and Hail Severity in Climate Change
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