Data sets


2024
Aerosol composition, air quality, and boundary layer dynamics in the urban background of Stuttgart in winter
Zhang, H.; Huang, W.; Shen, X.; Ramisetty, R.; Song, J.; Kiseleva, O.; Holst, C. C.; Khan, B.; Leisner, T.; Saathoff, H.
2024, August 9. doi:10.35097/vbjzahy9ej4c1b69
MieAI: A neural network for calculating optical properties of internally mixed aerosol in atmospheric models
Kumar, P.; Vogel, H.; Muth, L. J.; Bruckert, J.; Hoshyaripour, G. A.
2024, April. doi:10.35097/cMLguvOqjspbCtso
ICON release 2024.01
ICON partnership (DWD, MPI-M, DKRZ, KIT, C2SM)
2024. doi:10.35089/WDCC/IconRelease01
KIT-KLIWA COSMO-CLM downscaling of MPI-ESM-LR to 0.025° resolution: 5min precipitation and daily maximum temperature single grid point sample data
Hundhausen, M.; Feldmann, H.; Pinto, J. G.
2024. doi:10.35097/z3b8ywxzxc2646ur
Tracks of negative upper-tropospheric PV anomalies (PVAs) over the Northern Hemisphere in ERA5 reanalysis (1979-2021)
Hauser, S.; Teubler, F.; Riemer, M.; Knippertz, P.; Grams, C. M.
2024, April 11. doi:10.35097/nncxPGLAaaDgVKIW
CM1 code and trajectories for "Hail Trajectories in a Wide Spectrum of Supercell-like Updrafts" by Jannick Fischer et al
Fischer, J.
2024. doi:10.35097/u3tq8yuchxrpz2su
Code of Dietel et al.: "Combined impacts of temperature, sea ice coverage, and mixing ratios of sea spray and dust on cloud phase over the Arctic and Southern Oceans", submitted to Geophysical Research Letters
Dietel, B.; Andersen, H.; Cermak, J.; Stier, P.; Hoose, C.
2024, May 6. doi:10.35097/VEbaqHtbXdEzreqO
Research data for "Understanding the sea surface temperature impact on an atmospheric blocking event using sensitivity experiments with the ICOsahedral Nonhydrostatic (ICON) model"
Christ, S.; Oertel, A.; Wenta, M.; Grams, C. M.
2024, November 4. doi:10.35097/2ps96kskhd64de0g
Changes of intense extratropical cyclone deepening mechanisms in a warmer climate in idealized simulations
Chen, T.-C.; Braun, C.; Voigt, A.; Pinto, J. G.
2024, June 25. doi:10.35097/LEzOBJChoOXPcTOP
2023
Research data for "Temperature and CCN sensitivity of orographic precipitation enhanced by a mixed-phase seeder-feeder mechanism: a case study for the 2015 Cumbria flood"
Thomas, J.; Barrett, A. I.; Hoose, C.
2023, January 16. doi:10.5445/IR/1000154410
ICON-ART Data: Mineral Dust on Snow in Eurasia During a Severe Deposition Event in March 2018 (ensemble mean values and statistics)
Rohde, A.
2023. doi:10.35097/1579
Electron microscopy of particles collected by different techniques from field measurements in the Moroccan Sahara during FRAGMENT 2019
Panta, A.; Kandler, K.; Alastuey, A.; González-Flórez, C.; González-Romero, A.; Klose, M.; Querol, X.; Reche, C.; Yus-Díez, J.; Pérez García-Pando, C.
2023. doi:10.5281/zenodo.7649034
Research data for "Interaction of microphysics and dynamics in a warm conveyor belt simulated with the ICON model"
Oertel, A.; Miltenberger, A. K.; Grams, C. M.; Hoose, C.
2023, June 20. doi:10.5445/IR/1000159000
Data supplement for the publication: A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe. Part 1: Event description and analysis
Mohr, S. (Ed.)
2023, January 25. doi:10.5445/IR/1000152962
Research data "Impact of Saharan dust outbreaks on short-range weather forecast errors in Europe"
Hermes, K.; Quinting, J.; Grams, C. M.; Hoose, C.; Hoshyaripour, G. A.
2023, March 30. doi:10.5445/IR/1000157325
TEAMx-PC22 (TEAMx pre-campaing 2022) - KITcube cloud radar horizontal winds (from PPI) in Kolsass
Handwerker, J.
2023, July 26. doi:10.5281/zenodo.8186031
TEAMx-PC22 (TEAMx pre-campaing 2022) - KITcube cloud radar vertical winds in Kolsass
Handwerker, J.
2023, July 26. doi:10.5281/zenodo.8186105
Data presented in González-Flórez et al. 2023 "Insights into the size-resolved dust emission from field measurements in the Moroccan Sahara", Atmos. Chem. Phys
González-Flórez, C.; Klose, M.; Alastuey, A.; Dupont, S.; Escribano, J.; Etyemezian, V.; González-Romero, A.; Huang, Y.; Kandler, K.; Nikolich, G.; Panta, A.; Querol, X.; Reche, C.; Yús-Díez, J.; Pérez García-Pando, C.
2023. doi:10.5281/zenodo.7956203
Modeling dust mineralogical composition: sensitivity to soil mineralogy atlases and their expected climate impacts. Soil and airborne mineral fraction datasets
Gonçalves Ageitos, M.; Obiso, V.; Miller, R. L.; Jorba, O.; Klose, M.; Dawson, M.; Balkanski, Y.; Perlwitz, J.; Basart, S.; Di Tomaso, E.; Escribano, J.; Macchia, F.; Montané, G.; Meikle, C.; Mahowald, N. M.; Green, R. O.; Thompson, D. R.; Pérez García-Pando, C.
2023. doi:10.5281/zenodo.8091828
Simulation results for Gasch et al., 2023, AMT: Advancing airborne Doppler lidar wind profiling in turbulent boundary layer flow – an LES-based optimization of traditional scanning-beam versus novel fixed-beam measurement systems
Gasch, P.
2023, November 14. doi:10.35097/1810
ICON-ART data: Dispersion and Aging of Volcanic Aerosols after the La Soufrière Eruption in April 2021
Bruckert, J.
2023. doi:10.35097/878
Ensemble Kalman-Filter-based seasonal runoff predictions for the Rio São Francisco River Basin
Borne, M.
2023, January 13. doi:10.35097/600
Research data for ”Microphysical Pathways Active within Thunderstorms and Their Sensitivity to CCN Concentration and Wind Shear”
Barrett, A. I.; Hoose, C.
2023, February 20. doi:10.5445/IR/1000156063
2021
Umo et al. (2021), data to: The Influence of Chemical and Mineral Compositions on the Parameterization of Immersion Freezing by Volcanic Ash Particles, JGR
Umo, N. S.; Ullrich, R.; Maters, E. C.; Steinke, I.; Benker, N.; Höhler, K.; Wagner, R.; Weidler, P. G.; Hoshyaripour, G. A.; Kiselev, A.; Kueppers, U.; Kandler, K.; Dingwell, D. B.; Leisner, T.; Möhler, O.
2021. doi:10.35097/475
MONARCH data presented in Klose et al. (2021), "Mineral dust cycle in the Multiscale Online Nonhydrostatic AtmospheRe CHemistry model (MONARCH) Version 2.0", Geosci. Model Dev
Klose, M.; Jorba, O.; Gonçalves Ageitos, M.; Escribano, J.; Dawson, M. L.; Obiso, V.; Di Tomaso, E.; Basart, S.; Montané Pinto, G.; Macchia, F.; Ginoux, P.; Guerschman, J.; Prigent, C.; Huang, Y.; Kok, J. F.; Miller, R. L.; Pérez García-Pando, C.
2021, August 18. doi:10.23728/b2share.42ad3309744e40bd9c8920535d14c4a9
MONARCH: Multiscale Online Nonhydrostatic AtmospheRe CHemistry model Version 2.0
Klose, M.; Jorba, O.; Gonçalves Ageitos, M.; Escribano, J.; Dawson, M. L.; Obiso, V.; Di Tomaso, E.; Basart, S.; Montané Pinto, G.; Macchia, F.; Pérez García-Pando, C.
2021, August 5. doi:10.5281/zenodo.5215467
Radiosondendaten der MOSES-Messkampagne Hydrex 2019
Kohler, M.
2021, April 28. (Institut für Meteorologie und Klimaforschung, Ed.). doi:10.5445/IR/1000098211
MONARCH high-resolution reanalysis data set of desert dust aerosol over Northern Africa, the Middle East and Europe
Di Tomaso, E.; Escribano, J.; Basart, S.; Macchia, F.; Benincasa, F.; Bretonnière, P.-A.; Buñuel, A.; Castrillo, M.; Gonçalves, M.; Jorba, O.; Klose, M.; Pinto, G. M.; Olid, M.; García-Pando, C. P.
2021, October 19
Model data to "The impact of GPS and high-resolution radiosonde nudging on the simulation of heavy precipitation during HyMeX IOP6" by Caldas-Alvarez et al., (2021)
Caldas-Alvarez, A.
2021, May 12. doi:10.5445/IR/1000127550
Data and scripts for article Albern et al. 2021: "Tropical cloud-radiative changes contribute to robust climate change-induced jet exit strengthening over Europe during boreal winter", Environmental Research Letters
Albern, N.; Voigt, A.; Pinto, J. G.
2021, July 12. doi:10.5445/IR/1000134626
CROSSINN (Cross-valley flow in the Inn Valley investigated by dual-Doppler lidar measurements) - KITcube data sets [WLS200s]
Adler, B.; Babić, N.; Kalthoff, N.; Wieser, A.
2021, January 20. doi:10.5445/IR/1000127847
CROSSINN (Cross-valley flow in the Inn Valley investigated by dual-Doppler lidar measurements) - KITcube data sets [CHM 15k, GRAW, HATPRO2, Mobotix, Photos]
Adler, B.; Babić, N.; Kalthoff, N.; Wieser, A.
2021, January 20. doi:10.5445/IR/1000127577
CROSSINN (Cross-valley flow in the Inn Valley investigated by dual-Doppler lidar measurements) - Aircraft data set [FDLR]
Adler, B.; Babić, N.; Kalthoff, N.; Corsmeier, U.; Kottmeier, C.; Mallaun, C.
2021, January 20. doi:10.5445/IR/1000127862
2020
Extended probabilistic climatology (EPC), as a reference forecast for precipitation in the tropics (Version 2)
Walz, E.-M.; Maranan, M.; Fink, A.; Knippertz, P.
2020, December 9. doi:10.5445/IR/1000127274
Extended probabilistic climatology (EPC) as a reference forecast for precipitation in the tropics
Walz, E.-M.; Maranan, M.; Fink, A.; Knippertz, P.
2020, August 17. doi:10.5445/IR/1000122539
Data and scripts for "Clouds, radiation and atmospheric circulation in the present-day climate and under climate change"
Voigt, A.
2020, November 16. doi:10.5445/IR/1000125906
ICON related information for publication "Increasing resolution and resolving convection improves the simulation of cloud‐radiative effects over the North Atlantic" by Senf et al., JGR-Atmospheres, 2020
Voigt, A.
2020, September 21. doi:10.5445/IR/1000123695
Time series of the Seasonal Location Index (SLI) and Rainfall Cluster Index (RCI) for the time period 1981–2018
Seregina, L.
2020, August 31. doi:10.5445/IR/1000122689
Messdaten, X-Band-Niederschlagsradar in MOSES Messkampagne, 30.04.2019-22.07.2019
Handwerker, J.
2020, September 21. doi:10.5445/IR/1000096960
Analysis data to Caldas-Alvarez and Khodayar (2020)
Caldas-Alvarez, A.
2020, October 19. doi:10.5445/IR/1000123256
ICON model simulations for publication "The role of tropical, midlatitude and polar cloud-radiative changes for the midlatitude circulation response to global warming"
Albern, N.; Voigt, A.; Thompson, D. W. J.; Pinto, J. G.
2020, June 15. doi:10.5445/IR/1000120129
2019
Doppler lidar measurements from the Wind and Storms Experiment (WASTEX)
Wieser, A.; Adler, B.; Pantillon, F.
2019. doi:10.5445/IR/1000096609
Training data and emulators for the analysis of sensitivity of deep convective clouds and hail to environmental conditions and microphysics (updated version)
Wellmann, M.-C.
2019, October 24. doi:10.5445/IR/1000099232
Training data and emulators for the analysis of sensitivity of deep convective clouds and hail to environmental conditions and microphysics
Wellmann, M.-C.
2019. doi:10.5445/IR/1000093886
Climate model simulations for publication "No Cookie for climate change"
Voigt, A.
2019. doi:10.5445/IR/1000100316
Data set of meteorological observations (wind, temperature, humidity) collected from a microwave radiometer and lidar measurements during four intensive observations periods in 2017 and 2018 in Stuttgart, Germany, under the BMBF Programme ‘Urban Climate Under Change’ [UC]2).
Kiseleva, O.; Adler, B.; Kalthoff, N.; Kohler, M.; Wieser, A.; Wittkamp, N.
2019. doi:10.5445/IR/1000093534
Effects of Particle Non-Sphericity on Dust Optical Properties in a Forecast System: Implications for Model-Observation Comparison
Hoshyaripour, G.; Bachmann, V.; Foerstner, J.; Steiner, A.; Vogel, H.; Wagner, F.; Walter, C.; Vogel, B.
2019. doi:10.5445/IR/1000094622
Large-eddy simulation during the Wind and Storms Experiment (WASTEX)
Hansen, A.; Pantillon, F.
2019. doi:10.5445/IR/1000096627
Model output to the figures in Caldas-Alvarez and Khodayar (2019)
Caldas-Alvarez, A.
2019, August 13. doi:10.5445/IR/1000097457
ICON model simulations for publication "Cloud-radiative impact on the regional responses of the mid-latitude jet streams and storm tracks to global warming"
Albern, N.; Voigt, A.; Pinto, J. G.
2019. doi:10.5445/IR/1000094317