Articles | Volume 9, issue 9
Geosci. Model Dev., 9, 3093–3110, 2016
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.
Geosci. Model Dev., 9, 3093–3110, 2016
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 et al.
Viewed
Total article views: 2,646 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 Mar 2016)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,427 | 1,060 | 159 | 2,646 | 296 | 140 | 159 |
- HTML: 1,427
- PDF: 1,060
- XML: 159
- Total: 2,646
- Supplement: 296
- BibTeX: 140
- EndNote: 159
Total article views: 1,932 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 06 Sep 2016)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,080 | 698 | 154 | 1,932 | 191 | 134 | 149 |
- HTML: 1,080
- PDF: 698
- XML: 154
- Total: 1,932
- Supplement: 191
- BibTeX: 134
- EndNote: 149
Total article views: 714 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 Mar 2016)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 347 | 362 | 5 | 714 | 105 | 6 | 10 |
- HTML: 347
- PDF: 362
- XML: 5
- Total: 714
- Supplement: 105
- BibTeX: 6
- EndNote: 10
Cited
13 citations as recorded by crossref.
- The Global Aerosol Synthesis and Science Project (GASSP): Measurements and Modeling to Reduce Uncertainty C. Reddington et al. 10.1175/BAMS-D-15-00317.1
- 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
- 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
- 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
- Hourly Aerosol Assimilation of Himawari‐8 AOT Using the Four‐Dimensional Local Ensemble Transform Kalman Filter T. Dai et al. 10.1029/2018MS001475
- On the Limits of CALIOP for Constraining Modeled Free Tropospheric Aerosol D. Watson-Parris et al. 10.1029/2018GL078195
- In situ constraints on the vertical distribution of global aerosol D. Watson-Parris et al. 10.5194/acp-19-11765-2019
- 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
- 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
- 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
13 citations as recorded by crossref.
- The Global Aerosol Synthesis and Science Project (GASSP): Measurements and Modeling to Reduce Uncertainty C. Reddington et al. 10.1175/BAMS-D-15-00317.1
- 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
- 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
- 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
- Hourly Aerosol Assimilation of Himawari‐8 AOT Using the Four‐Dimensional Local Ensemble Transform Kalman Filter T. Dai et al. 10.1029/2018MS001475
- On the Limits of CALIOP for Constraining Modeled Free Tropospheric Aerosol D. Watson-Parris et al. 10.1029/2018GL078195
- In situ constraints on the vertical distribution of global aerosol D. Watson-Parris et al. 10.5194/acp-19-11765-2019
- 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
- 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
- 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
Saved (preprint)
Latest update: 25 Feb 2021
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...
