Articles | Volume 9, issue 9
https://doi.org/10.5194/gmd-9-3093-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-9-3093-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Methods for assessment of models
| 
06 Sep 2016
Methods for assessment of models |
| 06 Sep 2016
Community Intercomparison Suite (CIS) v1.4.0: a tool for intercomparing models and observations
Duncan Watson-Parris
CORRESPONDING AUTHOR
Tessella Ltd, Abingdon, Oxford, UK
Atmospheric, Oceanic and Planetary Physics, Department of Physics, University of Oxford, Oxford, UK
Nick Schutgens
Atmospheric, Oceanic and Planetary Physics, Department of Physics, University of Oxford, Oxford, UK
Nicholas Cook
Tessella Ltd, Abingdon, Oxford, UK
Zak Kipling
Atmospheric, Oceanic and Planetary Physics, Department of Physics, University of Oxford, Oxford, UK
Philip Kershaw
Centre for Environmental Data Analysis, STFC Rutherford Appleton Laboratory, Didcot, UK
National Centre for Earth Observation, Leicester, UK
Edward Gryspeerdt
Institute for Meteorology, Universität Leipzig, Leipzig, Germany
Bryan Lawrence
Centre for Environmental Data Analysis, STFC Rutherford Appleton Laboratory, Didcot, UK
Department of Meteorology, University of Reading, Reading, UK
National Centre for Atmospheric Science, Leeds, UK
Philip Stier
Atmospheric, Oceanic and Planetary Physics, Department of Physics, University of Oxford, Oxford, UK
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Cited
20 citations as recorded by crossref.
- Description and evaluation of a secondary organic aerosol and new particle formation scheme within TM5-MP v1.2 T. Bergman et al. 10.5194/gmd-15-683-2022
- AEROCOM and AEROSAT AAOD and SSA study – Part 1: Evaluation and intercomparison of satellite measurements N. Schutgens et al. 10.5194/acp-21-6895-2021
- NUMAC: Description of the Nested Unified Model With Aerosols and Chemistry, and Evaluation With KORUS‐AQ Data H. Gordon et al. 10.1029/2022MS003457
- Short Black Carbon lifetime inferred from a global set of aircraft observations M. Lund et al. 10.1038/s41612-018-0040-x
- tobac 1.2: towards a flexible framework for tracking and analysis of clouds in diverse datasets M. Heikenfeld et al. 10.5194/gmd-12-4551-2019
- Hourly Aerosol Assimilation of Himawari‐8 AOT Using the Four‐Dimensional Local Ensemble Transform Kalman Filter T. Dai et al. 10.1029/2018MS001475
- Virtual Integration of Satellite and In-situ Observation Networks (VISION) v1.0: In-Situ Observations Simulator (ISO_simulator) M. Russo et al. 10.5194/gmd-18-181-2025
- In situ constraints on the vertical distribution of global aerosol D. Watson-Parris et al. 10.5194/acp-19-11765-2019
- Ground-based lidar processing and simulator framework for comparing models and observations (ALCF 1.0) P. Kuma et al. 10.5194/gmd-14-43-2021
- Model calibration using ESEm v1.1.0 – an open, scalable Earth system emulator D. Watson-Parris et al. 10.5194/gmd-14-7659-2021
- SALSA2.0: The sectional aerosol module of the aerosol–chemistry–climate model ECHAM6.3.0-HAM2.3-MOZ1.0 H. Kokkola et al. 10.5194/gmd-11-3833-2018
- Model evaluation of short-lived climate forcers for the Arctic Monitoring and Assessment Programme: a multi-species, multi-model study C. Whaley et al. 10.5194/acp-22-5775-2022
- An AeroCom–AeroSat study: intercomparison of satellite AOD datasets for aerosol model evaluation N. Schutgens et al. 10.5194/acp-20-12431-2020
- Earth System Model Evaluation Tool (ESMValTool) v2.0 – technical overview M. Righi et al. 10.5194/gmd-13-1179-2020
- Investigating the assimilation of CALIPSO global aerosol vertical observations using a four-dimensional ensemble Kalman filter Y. Cheng et al. 10.5194/acp-19-13445-2019
- Satellite-based evaluation of AeroCom model bias in biomass burning regions Q. Zhong et al. 10.5194/acp-22-11009-2022
- On the Limits of CALIOP for Constraining Modeled Free Tropospheric Aerosol D. Watson‐Parris et al. 10.1029/2018GL078195
- Assessing the assimilation of Himawari-8 observations on aerosol forecasts and radiative effects during pollution transport from South Asia to the Tibetan Plateau M. Zhao et al. 10.5194/acp-24-235-2024
- In-cloud scavenging scheme for sectional aerosol modules – implementation in the framework of the Sectional Aerosol module for Large Scale Applications version 2.0 (SALSA2.0) global aerosol module E. Holopainen et al. 10.5194/gmd-13-6215-2020
- Cloud adjustments dominate the overall negative aerosol radiative effects of biomass burning aerosols in UKESM1 climate model simulations over the south-eastern Atlantic H. Che et al. 10.5194/acp-21-17-2021
20 citations as recorded by crossref.
- Description and evaluation of a secondary organic aerosol and new particle formation scheme within TM5-MP v1.2 T. Bergman et al. 10.5194/gmd-15-683-2022
- AEROCOM and AEROSAT AAOD and SSA study – Part 1: Evaluation and intercomparison of satellite measurements N. Schutgens et al. 10.5194/acp-21-6895-2021
- NUMAC: Description of the Nested Unified Model With Aerosols and Chemistry, and Evaluation With KORUS‐AQ Data H. Gordon et al. 10.1029/2022MS003457
- Short Black Carbon lifetime inferred from a global set of aircraft observations M. Lund et al. 10.1038/s41612-018-0040-x
- tobac 1.2: towards a flexible framework for tracking and analysis of clouds in diverse datasets M. Heikenfeld et al. 10.5194/gmd-12-4551-2019
- Hourly Aerosol Assimilation of Himawari‐8 AOT Using the Four‐Dimensional Local Ensemble Transform Kalman Filter T. Dai et al. 10.1029/2018MS001475
- Virtual Integration of Satellite and In-situ Observation Networks (VISION) v1.0: In-Situ Observations Simulator (ISO_simulator) M. Russo et al. 10.5194/gmd-18-181-2025
- In situ constraints on the vertical distribution of global aerosol D. Watson-Parris et al. 10.5194/acp-19-11765-2019
- Ground-based lidar processing and simulator framework for comparing models and observations (ALCF 1.0) P. Kuma et al. 10.5194/gmd-14-43-2021
- Model calibration using ESEm v1.1.0 – an open, scalable Earth system emulator D. Watson-Parris et al. 10.5194/gmd-14-7659-2021
- SALSA2.0: The sectional aerosol module of the aerosol–chemistry–climate model ECHAM6.3.0-HAM2.3-MOZ1.0 H. Kokkola et al. 10.5194/gmd-11-3833-2018
- Model evaluation of short-lived climate forcers for the Arctic Monitoring and Assessment Programme: a multi-species, multi-model study C. Whaley et al. 10.5194/acp-22-5775-2022
- An AeroCom–AeroSat study: intercomparison of satellite AOD datasets for aerosol model evaluation N. Schutgens et al. 10.5194/acp-20-12431-2020
- Earth System Model Evaluation Tool (ESMValTool) v2.0 – technical overview M. Righi et al. 10.5194/gmd-13-1179-2020
- Investigating the assimilation of CALIPSO global aerosol vertical observations using a four-dimensional ensemble Kalman filter Y. Cheng et al. 10.5194/acp-19-13445-2019
- Satellite-based evaluation of AeroCom model bias in biomass burning regions Q. Zhong et al. 10.5194/acp-22-11009-2022
- On the Limits of CALIOP for Constraining Modeled Free Tropospheric Aerosol D. Watson‐Parris et al. 10.1029/2018GL078195
- Assessing the assimilation of Himawari-8 observations on aerosol forecasts and radiative effects during pollution transport from South Asia to the Tibetan Plateau M. Zhao et al. 10.5194/acp-24-235-2024
- In-cloud scavenging scheme for sectional aerosol modules – implementation in the framework of the Sectional Aerosol module for Large Scale Applications version 2.0 (SALSA2.0) global aerosol module E. Holopainen et al. 10.5194/gmd-13-6215-2020
- Cloud adjustments dominate the overall negative aerosol radiative effects of biomass burning aerosols in UKESM1 climate model simulations over the south-eastern Atlantic H. Che et al. 10.5194/acp-21-17-2021
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Latest update: 23 Aug 2025
Short summary
In this paper we describe CIS, a new command line tool for the easy visualization, analysis and comparison of a wide variety of gridded and ungridded data sets used in Earth sciences. Users can now use a single tool to not only view plots of satellite, aircraft, station or model data, but also bring them onto the same spatio-temporal sampling. This allows robust, quantitative comparisons to be made easily. CIS is an open-source project and welcomes input from the community.
In this paper we describe CIS, a new command line tool for the easy visualization, analysis and...
