Datensätze
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, Januar 16. doi:10.5445/IR/1000154410
Thomas, J.; Barrett, A. I.; Hoose, C.
2023, Januar 16. doi:10.5445/IR/1000154410
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
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, Juni 20. doi:10.5445/IR/1000159000
Oertel, A.; Miltenberger, A. K.; Grams, C. M.; Hoose, C.
2023, Juni 20. doi:10.5445/IR/1000159000
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, März 30. doi:10.5445/IR/1000157325
Hermes, K.; Quinting, J.; Grams, C. M.; Hoose, C.; Hoshyaripour, G. A.
2023, März 30. doi:10.5445/IR/1000157325
TEAMx-PC22 (TEAMx pre-campaing 2022) - KITcube cloud radar vertical winds in Kolsass
Handwerker, J.
2023, Juli 26. doi:10.5281/zenodo.8186105
Handwerker, J.
2023, Juli 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
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
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
Research data for ”Microphysical Pathways Active within Thunderstorms and Their Sensitivity to CCN Concentration and Wind Shear”
Barrett, A. I.; Hoose, C.
2023, Februar 20. doi:10.5445/IR/1000156063
Barrett, A. I.; Hoose, C.
2023, Februar 20. doi:10.5445/IR/1000156063
2022
Numerical experiments to "Everything Hits at Once: How Remote Rainfall Matters for the Prediction of the 2021 North American Heat Wave"
Oertel, A.; Pickl, M.; Quinting, J. F.; Hauser, S.; Wandel, J. L.; Magnusson, L.; Balmaseda, M.; Vitart, F.; Grams, C. M.
2022, November 22. doi:10.5445/IR/1000152175
Oertel, A.; Pickl, M.; Quinting, J. F.; Hauser, S.; Wandel, J. L.; Magnusson, L.; Balmaseda, M.; Vitart, F.; Grams, C. M.
2022, November 22. doi:10.5445/IR/1000152175
Controls on subtropical cloud reflectivity during a waterbelt scenario for the Cryogenian glaciations - Dataset and analysis scripts
Braun, C.; Voigt, A.; Hoose, C.; Ekman, A. M. L.; Pinto, J. G.
2022, Juni 29. doi:10.5445/IR/1000147858
Braun, C.; Voigt, A.; Hoose, C.; Ekman, A. M. L.; Pinto, J. G.
2022, Juni 29. doi:10.5445/IR/1000147858
Ice-free tropical waterbelt during Snowball Earth events questioned by uncertain clouds – Dataset and analysis scripts
Braun, C.; Hörner, J.; Voigt, A.; Pinto, J. G.
2022, März 31. doi:10.5445/IR/1000144276
Braun, C.; Hörner, J.; Voigt, A.; Pinto, J. G.
2022, März 31. doi:10.5445/IR/1000144276
Cloud observing data of 85 stations in western Central Africa
Aellig, R.; Moron, V.; Camberlin, P.
2022, Oktober 4. doi:10.5445/IR/1000150635
Aellig, R.; Moron, V.; Camberlin, P.
2022, Oktober 4. doi:10.5445/IR/1000150635
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
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
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
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, Hrsg.). doi:10.5445/IR/1000098211
Kohler, M.
2021, April 28. (Institut für Meteorologie und Klimaforschung, Hrsg.). 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, Oktober 19
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, Oktober 19
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, Januar 20. doi:10.5445/IR/1000127847
Adler, B.; Babić, N.; Kalthoff, N.; Wieser, A.
2021, Januar 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, Januar 20. doi:10.5445/IR/1000127577
Adler, B.; Babić, N.; Kalthoff, N.; Wieser, A.
2021, Januar 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, Januar 20. doi:10.5445/IR/1000127862
Adler, B.; Babić, N.; Kalthoff, N.; Corsmeier, U.; Kottmeier, C.; Mallaun, C.
2021, Januar 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, Dezember 9. doi:10.5445/IR/1000127274
Walz, E.-M.; Maranan, M.; Fink, A.; Knippertz, P.
2020, Dezember 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
Walz, E.-M.; Maranan, M.; Fink, A.; Knippertz, P.
2020, August 17. doi:10.5445/IR/1000122539
Messdaten, X-Band-Niederschlagsradar in MOSES Messkampagne, 30.04.2019-22.07.2019
Handwerker, J.
2020, September 21. doi:10.5445/IR/1000096960
Handwerker, J.
2020, September 21. doi:10.5445/IR/1000096960
Analysis data to Caldas-Alvarez and Khodayar (2020)
Caldas-Alvarez, A.
2020, Oktober 19. doi:10.5445/IR/1000123256
Caldas-Alvarez, A.
2020, Oktober 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, Juni 15. doi:10.5445/IR/1000120129
Albern, N.; Voigt, A.; Thompson, D. W. J.; Pinto, J. G.
2020, Juni 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
Wieser, A.; Adler, B.; Pantillon, F.
2019. doi:10.5445/IR/1000096609
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
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
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
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
Caldas-Alvarez, A.
2019, August 13. doi:10.5445/IR/1000097457
2018
Cloud top phase distributions of simulated deep convective clouds
Hoose, C.; Karrer, M.; Barthlott, C.
2018. doi:10.5445/IR/1000082997
Hoose, C.; Karrer, M.; Barthlott, C.
2018. doi:10.5445/IR/1000082997
2016
DACCIWA field campaign, Savé super-site, KIT instrumentation: Surface measurements
Kohler, M.; Kalthoff, N.; Seringer, J.; Kraut, S.
2016. doi:10.6096/DACCIWA.1690
Kohler, M.; Kalthoff, N.; Seringer, J.; Kraut, S.
2016. doi:10.6096/DACCIWA.1690