Peter Kuma
Software and Science

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Science

Article | Kuma et al. (2022), Climate model code genealogy and its relation to climate feedbacks and sensitivity Open access (manuscript in preparation)

Poster | Kuma et al. (2022), Climate model code genealogy and its relation to sensitivity and feedbacks Open access (FORCeS Annual Meeting, Oslo, Norway, 14 September 2022)

Article | Kuma et al. (2022), Machine learning of cloud types in satellite observations and climate models Open access (in review in Atmospheric Chemistry and Physics)

Article | Guyot et al. (2022), Detection of supercooled liquid water containing clouds with ceilometers: development and evaluation of deterministic and data-driven retrievals Open access (Atmospheric Measurement Techniques)

Presentation | Kuma et al. (2022), Machine learning of cloud types in satellite observations and climate models Open access (The 13th Annual SeRC Meeting, Bro, Sweden, 13 May 2022)

Presentation | Kuma (2022), Software for climate sciences Open access (Research seminar, Stockholm University, Stockholm, Sweden, 9 February 2022)

Lecture | Global Climate System: Clouds and aerosols in the climate system Open access (Stockholm University, Stockholm, Sweden, 25 January 2022)

Presentation | Kuma (2021), Clouds in climate models and atmospheric observations Open access (Research seminar, Stockholm University, Stockholm, Sweden, 14 December 2021); video 1 (weather balloon launch), video 2 (UAV flight)

Poster | Kuma and Bender (2021), Using deep learning cloud classification in cloud feedback Open access (FORCeS Annual Meeting, Stockholm University, Stockholm, Sweden, 27 October 2021)

Presentation | Kuma and Bender (2021), Machine learning of cloud types for evaluation of climate models and constraining climate sensitivity Open access (FORCeS Annual Meeting, Stockholm University, Stockholm, Sweden, 25 October 2021)

Presentation | Kuma and Bender (2021), Using deep learning cloud classification for cloud feedback and climate sensitivity determination Open access (FORCeS WP5 & WP6 Science Meeting, Stockholm University, Stockholm, Sweden, 9 September 2021)

Media | How Airborne Microplastics Affect Climate Change (Scientific American, 2021)

Media | Microplastics May Be Cooling—and Heating—Earth’s Climate (WIRED, 2021)

Media | Microplastics May Be Cooling—and Heating—Earth’s Climate (Ars Technica, 2021)

Media | Microplastics in the air have a small cooling effect on our climate (New Scientist, 2021)

Media | Microplastics are in the air we breathe and in Earth’s atmosphere, and they affect the climate (The Conversation, 2021)

Article | Revell et al. (2021), Direct radiative effects of airborne microplastics (Nature)

Article | Kremser et al. (2021), Southern Ocean Cloud and Aerosol data: a compilation of measurements from the 2018 Southern Ocean Ross Sea Marine Ecosystems and Environment voyage Open access (Earth System Science Data)

Article | Dale et al. (2021), The winter 2019 air pollution (PM2.5) measurement campaign in Christchurch, New Zealand Open access (Earth System Science Data)

Poster | Kuma and Bender (2021), Climate sensitivity and the Southern Ocean: the effect of the “too few, too bright” model cloud problem Open access (EGU General Assembly, 19–30 April 2021)

Article | Hartery et al. (2021), Classification of the Below-Cloud Mixing State Over the Southern Ocean Using In-Situ and Remotely-Sensed Measurements Open access (manuscript in preparation)

Article | Kuma et al. (2021), Ground-based lidar processing and simulator framework for comparing models and observations (ALCF 1.0) Open access (Geoscientific Model Development)

Dataset | Kremser et al. (2020), Southern Ocean Cloud and Aerosol data set: a compilation of measurements from the 2018 Southern Ocean Ross Sea Marine Ecosystems and Environment voyage (Zenodo)

Presentation | Kuma et al. (2020), Doctoral thesis presentation: Comparing remotely sensed observations of clouds and aerosols in the Southern Ocean with climate model simulations Open access (University of Canterbury, Christchurch, New Zealand, 7 October 2020)

Article | Kuma et al. (2020), Evaluation of Southern Ocean cloud in the HadGEM3 general circulation model and MERRA-2 reanalysis using ship-based observations Open access (Atmospheric Chemistry and Physics)

Thesis | Kuma (2020), Comparing remotely sensed observations of clouds and aerosols in the Southern Ocean with climate model simulations Open access (University of Canterbury, Christchurch, New Zealand)

Article | Klekociuk et al. (2020), The state of the atmosphere in the 2016 southern Kerguelen Axis campaign region (Deep-Sea Research Part II: Topical Studies in Oceanography)

Poster | Kuma et al. (2020), Ground-based lidar processing and simulator framework for comparing models and observations Open access (Gateway Antarctica Conference, Christchurch, New Zealand, 30–31 January 2020)

Article | Hartery et al. (2020), Constraining the Surface Flux of Sea Spray Particles from the Southern Ocean (Journal of Geophysical Research: Atmospheres)

Poster | Kuma et al. (2019), Automatic Lidar and Ceilometer Framework (ALCF) Open access (CFMIP 2019 Meeting, Mykonos, Greece, 30 September–4 October 2019)

Poster | Kuma et al. (2019), Evaluation of Southern Ocean cloud in the HadGEM3 general circulation model and MERRA-2 reanalysis using ship-based observations Open access (Deep South Challenge Conference, Auckland, New Zealand, 6–8 May 2019)

Presentation | Kuma et al. (2018), Evaluation of HadGEM3 Southern Ocean cloud using observations and reanalyses Open access (NZ Hydrological Society & Meteorological Society of NZ Joint Conference, Christchurch, New Zealand, 4–7 December 2018)

Article | Jolly et al. (2018), An analysis of the cloud environment over the Ross Sea and Ross Ice Shelf using CloudSat/CALIPSO satellite observations: The importance of synoptic forcing Open access (Atmospheric Chemistry and Physics)

Poster | Kuma et al. (2018), Shipborne and ground-based observations of clouds in the Southern Ocean Open access (POLAR 2018, Davos, Switzerland, 19–23 June 2018)

Presentation | Kuma et al. (2018), Doctoral Confirmation Presentation: Assessment of Southern Ocean Clouds and Aerosol in General Circulation Models Open access (University of Canterbury, Christchurch, New Zealand, 9 April 2018)

Media | New Zealand’s Next Top Model (New Zealand Geographic, 2018)

Presentation | Kuma et al. (2017), Assessment of Southern Ocean clouds and aerosols in the New Zealand Earth System Model using shipborne and ground-based observations Open access (Meteorological Society of New Zealand Annual Conference, Dunedin, New Zealand, 13–15 November 2017)

Poster | Kuma et al. (2017), Assessment of Southern Ocean clouds and aerosols in the New Zealand Earth System Model using shipborne and ground-based observations Open access (Deep South Challenge Symposium, Wellington, New Zealand, 4–6 September 2017)

Poster | Kuma et al. (2017), Shipborne and ground-based observations of clouds in the Subantarctic the the Southern Ocean Open access (New Zealand Antarctic Science Conference, Dunedin, New Zealand, 26–28 June 2017)

Article | Geleyn et al. (2017), Single interval longwave radiation scheme based on the net exchanged rate decomposition with bracketing (Quarterly Journal of the Royal Meteorological Society)

Article | Mašek et al. (2015), Single interval shortwave radiation scheme with parameterized optical saturation and spectral overlaps (Quarterly Journal of the Royal Meteorological Society)

Thesis | Kuma (2015), Broadband approach as a framework for implementation of radiative transfer scheme with selective intermittency: Cost versus accuracy study Open access (Comenius University, Bratislava, Slovakia)

Thesis | Kuma (2010), Visualising Data from CloudSat and CALIPSO Satellites Open access (Comenius University, Bratislava, Slovakia)

Open source software

ALCF – Automatic Lidar and Ceilometer Processing Framework

ccbrowse – Web application for browsing data from active Earth observation satellites

ccplot – Command-line application for visualizing data from CloudSat and CALIPSO satellites

cl2nc – Convert Vaisala CL51 and CL31 ceilometer dat files to NetCDF

ds-format – Python interface for reading and writing NetCDF and a custom dataset format

mpl2nc – Convert Sigma Space Micro Pulse Lidar (MPL) data files to NetCDF

mrr2c – Convert Metek MRR-2 micro rain radar data files to HDF

rstool – Command-line program for converting native radiosonde data to NetCDF and calculation of derived quantities, supporting InterMet Systems (iMet) and Windsond radiosondes