Aumann, H. H., Ruzmaikin, A., and Teixeira, J.: Frequency of severe storms and global warming, Geophys. Res. Lett., 35, L19805, https://doi.org/10.1029/2008GL034562, 2008.
Aumann, H. H., Behrangi, A., and Wang, Y.: Increased Frequency of Extreme Tropical Deep Convection: AIRS Observations and Climate Model Predictions, Geophys. Res. Lett., 45, 13530–13537, https://doi.org/10.1029/2018GL079423, 2018.
Baatsen, M., Haarsma, R. J., Van Delden, A. J., and de Vries, H.: Severe Autumn storms in future Western Europe with a warmer Atlantic Ocean, Clim. Dynam., 45, 949–964, https://doi.org/10.1007/s00382-014-2329-8, 2015.
Barnes, W. L., Pagano, T. S., and Salomonson, V. V.: Prelaunch characteristics of the moderate resolution imaging spectroradiometer (MODIS) on EOS-AMI, IEEE T. Geosci. Remote, 36, 1088–1100, https://doi.org/10.1109/36.700993, 1998.
Bedka, K., Brunner, J., Dworak, R., Feltz, W., Otkin, J., and Greenwald, T.: Objective satellite-based detection of overshooting tops using infrared window channel brightness temperature gradients, J. Appl. Meteorol. Climatol., 49, 181–202, https://doi.org/10.1175/2009JAMC2286.1, 2010.
Bender, F. A.-M., Ramanathan, V., and Tselioudis, G.: Changes in extratropical storm track cloudiness 1983–2008: observational support for a poleward shift, Clim. Dynam., 38, 2037–2053, https://doi.org/10.1007/s00382-011-1065-6, 2012.
Berthou, S., J Roberts, M., Vannière, B., Ban, N., Belušić, D., Caillaud, C., Crocker, T., de Vries, H., Dobler, A., Harris, D., Kendon, E. J., Landgren, O., and Manning, C.: Convection in future winter storms over Northern Europe, Environ. Res. Lett., 17, 114055, https://doi.org/10.1088/1748-9326/aca03a, 2022.
Candlish, L. M., Raddatz, R. L., Gunn, G. G., Asplin, M. G., and Barber, D. G.: A Validation of CloudSat and CALIPSO's Temperature, Humidity, Cloud Detection, and Cloud Base Height over the Arctic Marine Cryosphere, Atmos.-Ocean, 51, 249–264, https://doi.org/10.1080/07055900.2013.798582, 2013.
Ceppi, P. and Hartmann, D. L.: Clouds and the atmospheric circulation response to warming, J. Climate, 29, 783–799, https://doi.org/10.1175/JCLI-D-15-0394.1, 2016.
Chen, Q., Yin, X., Li, Y., Zheng, P., Chen, M., and Xu, Q.: Recognition of Severe Convective Cloud Based on the Cloud Image Prediction Sequence from FY-4A, Remote Sens., 15, 4612, https://doi.org/10.3390/rs15184612, 2023.
Chen, T., Rossow, W. B., and Zhang, Y.: Radiative Effects of Cloud-Type Variations, J. Climate, 13, 264–286, https://doi.org/10.1175/1520-0442(2000)013<0264:REOCTV>2.0.CO;2, 2000.
Cohen, J.: A Coefficient of Agreement for Nominal Scales, Educ. Psychol. Meas., 20, 37–46, https://doi.org/10.1177/001316446002000104, 1960.
da Silva Neto, C. P.: A method for convective storm detection using satellite data, Atmósfera, 29, 343–358, https://doi.org/10.20937/ATM.2016.29.04.05, 2016.
Doelling, D. R., Nguyen, L., and Minnis, P.: On the use of deep convective clouds to calibrate AVHRR data, Earth Observing Systems IX, Proc. SPIE 5542, 281–289, https://doi.org/10.1117/12.560047, 2004.
Eastman, R. and Warren, S. G.: Diurnal Cycles of Cumulus, Cumulonimbus, Stratus, Stratocumulus, and Fog from Surface Observations over Land and Ocean, J. Climate, 27, 2386–2404, https://doi.org/10.1175/JCLI-D-13-00352.1, 2014.
Efron, B.: Bootstrap Methods: Another Look at the Jackknife, Ann. Stat., 7, 1–26, https://doi.org/10.1214/aos/1176344552, 1979.
European Environmental Agency: Economic losses and fatalities caused by weather – and climate – related extreme events in EU Member States (1980–2023) – per hazard type, European Environmental Agency,
https://www.eea.europa.eu/en/analysis/indicators/economic-losses-from-climate-related/economic-losses-and-fatalities (last access: 23 June 2025), 2024.
Gong, X., Li, Z., Li, J., Moeller, C. C., Cao, C., Wang, W., and Menzel, W. P.: Intercomparison Between VIIRS and CrIS by Taking Into Account the CrIS Subpixel Cloudiness and Viewing Geometry, J. Geophys. Res.-Atmos., 123, 5335–5345, 2018.
Govaerts, Y. M., Rüthrich, F., John, V. O., and Quast, R.: Climate Data Records from Meteosat First Generation Part I: Simulation of Accurate Top-of-Atmosphere Spectral Radiance over Pseudo-Invariant Calibration Sites for the Retrieval of the In-Flight Visible Spectral Response, Remote. Sens., 10, 1959, https://doi.org/10.3390/rs10121959, 2018.
Gunshor, M. M., Schmit, T. J., and Menzel, W. P.: Intercalibration of the Infrared Window and Water Vapor Channels on Operational Geostationary Environmental Satellites Using a Single Polar-Orbiting Satellite, J. Atmos. Ocean. Technol., 21, 61–68, https://doi.org/10.1175/1520-0426(2004)021<0061:IOTIWA>2.0.CO;2, 2004.
Hahn, C. J., Rossow, W. B., and Warren, S. G.: ISCCP Cloud Properties Associated with Standard Cloud Types Identified in Individual Surface Observations, J. Climate, 14, 11–28, https://doi.org/10.1175/1520-0442(2001)014<0011:ICPAWS>2.0.CO;2, 2001.
Hendon, H. H. and Woodberry, K.: The diurnal cycle of tropical convection, J. Geophys. Res.-Atmos., 98, 16623–16637, https://doi.org/10.1029/93JD00525, 1993.
Hoffmann, L. and Spang, R.: An assessment of tropopause characteristics of the ERA5 and ERA-Interim meteorological reanalyses, Atmos. Chem. Phys., 22, 4019–4046, https://doi.org/10.5194/acp-22-4019-2022, 2022.
Holmlund, K., Grandell, J., Schmetz, J., Stuhlmann, R., Bojkov, B., Munro, R., Lekouara, M., Coppens, D., Viticchie, B., August, T., Theodore, B., Watts, P., Dobber, M., Fowler, G., Bojinski, S., Schmid, A., Salonen, K., Tjemkes, S., Aminou, D., and Blythe, P.: Meteosat Third Generation (MTG): Continuation and Innovation of Observations from Geostationary Orbit, B. Am. Meteorol. Soc., 102, E990–E1015, https://doi.org/10.1175/BAMS-D-19-0304.1, 2021.
Hong, G., Heygster, G., and Rodriguez, C. A. M.: Effect of cirrus clouds on the diurnal cycle of tropical deep convective clouds, J. Geophys. Res.-Atmos., 111, D06209, https://doi.org/10.1029/2005JD006208, 2006.
Illingworth, A. J., Barker, H. W., Beljaars, A., Ceccaldi, M., Chepfer, H., Clerbaux, N., Cole, J., Delanoë, J., Domenech, C., Donovan, D. P., Fukuda, S., Hirakata, M., Hogan, R. J., Huenerbein, A., Kollias, P., Kubota, T., Nakajima, T., Nakajima, T. Y., Nishizawa, T., Ohno, Y., Okamoto, H., Oki, R., Sato, K., Satoh, M., Shephard, M. W., Velázquez-Blázquez, A., Wandinger, U., Wehr, T., and Van Zadelhoff, G. J.: The earthcare satellite: The next step forward in global measurements of clouds, aerosols
, precipitation, and radiation, B. Am. Meteorol. Soc., 96, 1311–1332, https://doi.org/10.1175/BAMS-D-12-00227.1, 2015.
Jurkovic, P. M., Mahovic, N. S., and Pocakal, D.: Lightning, overshooting top and hail characteristics for strong convective storms in Central Europe, Atmos. Res., 161–162, 153–168, 2015.
Kaps, A., Lauer, A., Kazeroni, R., Stengel, M., and Eyring, V.: Characterizing clouds with the CCClim dataset, a machine learning cloud class climatology, Earth Syst. Sci. Data, 16, 3001–3016, https://doi.org/10.5194/essd-16-3001-2024, 2024.
Kodamana, R. and Fletcher, C. G.: Validation of CloudSat-CPR Derived Precipitation Occurrence and Phase Estimates across Canada, Atmosphere, 12, 295, https://doi.org/10.3390/atmos12030295, 2021.
Kolat, U., Menzel, W. P., Olson, E., and Frey, R.: Very high cloud detection in more than two decades of HIRS data, J. Geophys. Res.-Atmos., 118, 3278–3284, https://doi.org/10.1029/2012JD018496, 2013.
Kollias, P., Albrecht, B. A., Lhermitte, R., and Savtchenko, A.: Radar Observations of Updrafts, Downdrafts, and Turbulence in Fair-Weather Cumuli, J. Atmos. Sci., 58, 1750–1766, https://doi.org/10.1175/1520-0469(2001)058<1750:ROOUDA>2.0.CO;2, 2001.
Kubar, T. L., Hartmann, D. L., and Wood, R.: Radiative and Convective Driving of Tropical High Clouds, J. Climate, 20, 5510–5526, https://doi.org/10.1175/2007JCLI1628.1, 2007.
Lehmann, J. and Coumou, D.: The influence of mid-latitude storm tracks on hot, cold, dry and wet extremes, Sci. Rep., 5, 17491, https://doi.org/10.1038/srep17491, 2015.
Lu, J., Vecchi, G. A., and Reichler, T.: Expansion of the Hadley cell under global warming, Geophys. Res. Lett., 34, L06805, https://doi.org/10.1029/2006GL028443, 2007.
Mapes, B. E. and Houze, R. A.: Cloud Clusters and Superclusters over the Oceanic Warm Pool, Mon. Weather Rev., 121, 1398–1416, https://doi.org/10.1175/1520-0493(1993)121<1398:CCASOT>2.0.CO;2, 1993.
Martin, D. W., Kohrs, R. A., Mosher, F. R., Medaglia, C. M., and Adamo, C.: Over-Ocean Validation of the Global Convective Diagnostic, J. Appl. Meteorol. Climatol., 47, 525–543, https://doi.org/10.1175/2007JAMC1525.1, 2008.
MODIS Characterization Support Team (MCST): MODIS 1km Calibrated Radiances Product, NASA MODIS Adaptive Processing System, Goddard Space Flight Center, USA [data set], https://doi.org/10.5067/MODIS/MYD021KM.061, 2017b.
Mu, Q., Wu, A., Xiong, X., Doelling, D. R., Angal, A., Chang, T., and Bhatt, R.: Optimization of a Deep Convective Cloud Technique in Evaluating the Long-Term Radiometric Stability of MODIS Reflective Solar Bands, Remote Sens., 9, 535, https://doi.org/10.3390/rs9060535, 2017.
Musil, D. J., Christopher, S. A., Deola, R. A., and Smith, P. L.: Some Interior Observations of Southeastern Montana Hailstorms, J. Appl. Meteorol. Climatol., 30, 1596–1612, https://doi.org/10.1175/1520-0450(1991)030<1596:SIOOSM>2.0.CO;2, 1991.
NASA Goddard Space Flight Center: MODIS/Aqua Level 1B Calibrated Radiances, NASA Goddard Space Flight Center [data set], https://doi.org/10.5067/MODIS/MYD06_L2.006, 2015.
Nesbitt, S. W., Cifelli, R., and Rutledge, S. A.: Storm Morphology and Rainfall Characteristics of TRMM Precipitation Features, Mon. Weather Rev., 134, 2702–2721, https://doi.org/10.1175/MWR3200.1, 2006.
Norris, J. R.: Low Cloud Type over the Ocean from Surface Observations. Part II: Geographical and Seasonal Variations, J. Climate, 11, 383–403, https://doi.org/10.1175/1520-0442(1998)011<0383:LCTOTO>2.0.CO;2, 1998.
Platnick, S., King, M. D., Ackerman, S. A., Menzel, W. P., Baum, B. A., Riédi, J. C., and Frey, R. A.: The MODIS cloud products: Algorithms and examples from terra, IEEE T. Geosci. Remote, 41, 459–472, https://doi.org/10.1109/TGRS.2002.808301, 2003.
Rossow, W. B. and Schiffer, R. A.: Advances in Understanding Clouds from ISCCP, B. Am. Meteorol. Soc., 80, 2261–2287, https://doi.org/10.1175/1520-0477(1999)080<2261:AIUCFI>2.0.CO;2, 1999.
Sarkar, T., Dey, S., Ganguly, D., Di Girolamo, L., and Hong, Y.: Comparative assessment of a near-global view of individual cloud types from space-borne active and passive sensors and ground-based observations, Int. J. Climatol., 42, 8073–8088, https://doi.org/10.1002/joc.7693, 2022.
Sassen, K. and Wang, Z.: Classifying clouds around the globe with the CloudSat radar: 1-year of results, Geophys. Res. Lett., 35, L04805, https://doi.org/10.1029/2007GL032591, 2008.
Sassen, K., Wang, Z., and Liu, D.: Global distribution of cirrus clouds from CloudSat/Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) measurements, J. Geophys. Res.-Atmos., 113, D00A12, https://doi.org/10.1029/2008JD009972, 2008.
Stephens, G. L., Vane, D. G., Boain, R. J., Mace, G. G., Sassen, K., Wang, Z., Illingworth, A. J., O'Connor, E. J., Rossow, W. B., Durden, S. L., Miller, S. D., Austin, R. T., Benedetti, A., and Mitrescu, C.: The cloudsat mission and the A-Train: A new dimension of space-based observations of clouds and precipitation, B. Am. Meteorol. Soc., 83, 1771–1790 + 1742, https://doi.org/10.1175/BAMS-83-12-1771, 2002.
Stern, D. P. and Bryan, G. H.: Using Simulated Dropsondes to Understand Extreme Updrafts and Wind Speeds in Tropical Cyclones, Mon. Weather Rev., 146, 3901–3925, https://doi.org/10.1175/MWR-D-18-0041.1, 2018.
Taszarek, M., Allen, J., Púčik, T., Groenemeijer, P., Czernecki, B., Kolendowicz, L., Lagouvardos, K., Kotroni, V., and Schulz, W.: A climatology of thunderstorms across Europe from a synthesis of multiple data sources, J. Climate, 32, 1813–1837, https://doi.org/10.1175/JCLI-D-18-0372.1, 2019.
Taszarek, M., Allen, J. T., Groenemeijer, P., Edwards, R., Brooks, H. E., Chmielewski, V., and Enno, S.-E.: Severe Convective Storms across Europe and the United States. Part I: Climatology of Lightning, Large Hail, Severe Wind, and Tornadoes, J. Climate, 33, 10239–10261, https://doi.org/10.1175/JCLI-D-20-0345.1, 2020.
Tissier, A.-S. and Legras, B.: Convective sources of trajectories traversing the tropical tropopause layer, Atmos. Chem. Phys., 16, 3383–3398, https://doi.org/10.5194/acp-16-3383-2016, 2016.
Vincent, M. A. and Salcedo, C.: The insertion of CloudSat and Calipso into the A-Train constellation, edited by: Lafontaine, J
. D., DeLafontaine, J., Treder, J., Soyka, M. T., and Sims, J. A., Astrodyn. 2003, PTS 1-3, 116 AIAA/AAS Astrodynamics Specialist Conference, 3–7 August 2003, Big Sky, Montana, USA, 1401–1418, ISBN 0877035091, 2003.
Wall, C. J., Hartmann, D. L., Thieman, M. M., Smith, W. L., and Minnis, P.: The Life Cycle of Anvil Clouds and the Top-of-Atmosphere Radiation Balance over the Tropical West Pacific, J. Climate, 31, 10059–10080, https://doi.org/10.1175/JCLI-D-18-0154.1, 2018.
Wang, C. and Prinn, R. G.: On the roles of deep convective clouds in tropospheric chemistry, J. Geophys. Res.-Atmos., 105, 22269–22297, https://doi.org/10.1029/2000JD900263, 2000.
Wang, C., Luo, Z. J., and Huang, X.: Parallax correction in collocating CloudSat and Moderate Resolution Imaging Spectroradiometer (MODIS) observations: Method and application to convection study, J. Geophys. Res.-Atmos., 116, D17201, https://doi.org/10.1029/2011JD016097, 2011.
Wang, D., Yang, C. A., and Diao, M.: Validation of Satellite-Based Cloud Phase Distributions Using Global-Scale In Situ Airborne Observations, Earth Sp. Sci., 11, e2023EA003355, https://doi.org/10.1029/2023EA003355, 2024.
Wang, Z. and Sassen, K.: Cloud Type and Macrophysical Property Retrieval Using Multiple Remote Sensors, J. Appl. Meteorol., 40, 1665–1682, https://doi.org/10.1175/1520-0450(2001)040<1665:CTAMPR>2.0.CO;2, 2001.
Wehr, T., Kubota, T., Tzeremes, G., Wallace, K., Nakatsuka, H., Ohno, Y., Koopman, R., Rusli, S., Kikuchi, M., Eisinger, M., Tanaka, T., Taga, M., Deghaye, P., Tomita, E., and Bernaerts, D.: The EarthCARE mission – science and system overview, Atmos. Meas. Tech., 16, 3581–3608, https://doi.org/10.5194/amt-16-3581-2023, 2023.
Winker, D. M., Pelon, J. R., and McCormick, M. P.: The CALIPSO mission: spaceborne lidar for observation of aerosols and clouds, Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 23–27 October 2002, Hangzhou, China, Lidar Remote Sens. Ind. Environ. Monit. III, 4893, https://doi.org/10.1117/12.466539, 2003.
Yang, K., Wang, Z., Deng, M., and Dettmann, B.: Improved tropical deep convective cloud detection using MODIS observations with an active sensor trained machine learning algorithm, Remote Sens. Environ., 297, 113762, https://doi.org/10.1016/j.rse.2023.113762, 2023.
Zou, L., Hoffmann, L., Griessbach, S., Spang, R., and Wang, L.: Empirical evidence for deep convection being a major source of stratospheric ice clouds over North America, Atmos. Chem. Phys., 21, 10457–10475, https://doi.org/10.5194/acp-21-10457-2021, 2021.
