Community Intercomparison Suite (CIS) v1.4.0: a tool for intercomparing models and observations

Community Intercomparison Suite (CIS) v1.4.0: a tool for intercomparing models and observations

The Community Intercomparison Suite (CIS) is an easy-to-use command-line tool which has been developed to allow the straightforward intercomparison of remote sensing, in situ and model data. While there are a number of tools available for working with climate model data, the large diversity of sourc...

Full description

Bibliographic Details
Main Authors:	Watson-Parris, D, Schutgens, N, Cook, N, Kipling, Z, Kershaw, P, Gryspeerdt, E, Lawrence, B, Stier, P
Format:	Journal article
Published:	European Geosciences Union 2016

Similar Items

Community Intercomparison Suite (CIS) v1.4.0: a tool for intercomparing models and observations
by: D. Watson-Parris, et al.
Published: (2016-09-01)

Community Intercomparison Suite (CIS) v1.3.2: A tool for intercomparing models and observations
by: Watson-Parris, D, et al.
Published: (2016)

Intercomparing Solar Spectral Irradiance From SORCE SIM
by: Steffen Mauceri, et al.
Published: (2020-04-01)

On the spatio-temporal representativeness of observations
by: N. Schutgens, et al.
Published: (2017-08-01)

Intercomparing the robustness of machine learning models in simulation and forecasting of streamflow
by: Parthiban Loganathan, et al.
Published: (2021-08-01)

Wet scavenging limits the detection of aerosol–cloud–precipitation interactions
by: Gryspeerdt, E, et al.
Published: (2015)

On the limits of CALIOP for constraining modelled free‐tropospheric aerosol
by: Watson-Parris, D, et al.
Published: (2018)

Validating the Validation: The Influence of Liquid Water Distribution in Clouds on the Intercomparison of Satellite and Surface Observations
by: Schutgens, N, et al.
Published: (2009)

LAND-SUITE V1.0: a suite of tools for statistically based landslide susceptibility zonation
by: M. Rossi, et al.
Published: (2022-07-01)

Wet scavenging limits the detection of aerosol effects on precipitation
by: E. Gryspeerdt, et al.
Published: (2015-07-01)

Intercomparing varied erosion, deposition and transport process representations for simulating sediment yield
by: Tan Zi, et al.
Published: (2019-08-01)

Shipping regulations lead to large reduction in cloud perturbations
by: Watson-Parris, D, et al.
Published: (2022)

AEROCOM and AEROSAT AAOD and SSA study – Part 1: Evaluation and intercomparison of satellite measurements
by: Schutgens, N, et al.
Published: (2021)

Effect of Atmospheric Corrections on NDVI: Intercomparability of Landsat 8, Sentinel-2, and UAV Sensors
by: David Moravec, et al.
Published: (2021-09-01)

Methods and Best Practice to Intercompare Dissolved Oxygen Sensors and Fluorometers/Turbidimeters for Oceanographic Applications
by: Sara Pensieri, et al.
Published: (2016-05-01)

On the spatio-temporal representativeness of observations
by: Schutgens, N, et al.
Published: (2017)

Will a perfect model agree with perfect observations? The impact of spatial sampling
by: Schutgens, N, et al.
Published: (2016)

Model calibration using ESEm v1.1.0 – an open, scalable Earth system emulator
by: Watson-Parris, D, et al.
Published: (2021)

Intercomparing different devices for the investigation of ice nucleating particles using Snomax<sup>®</sup> as test substance
by: H. Wex, et al.
Published: (2015-02-01)

Fundamental clustering algorithms suite
by: Michael C. Thrun, et al.
Published: (2021-01-01)

Uncertainty from the choice of microphysics scheme in convection-permitting models signiﬁcantly exceeds aerosol effects
by: White, B, et al.
Published: (2017)

SPSS 14.0 brief guide
by: SPSS Inc
Published: (2005)

Will a perfect model agree with perfect observations? The impact of spatial sampling
by: N. A. J. Schutgens, et al.
Published: (2016-05-01)

A Data Set for Intercomparing the Transient Behavior of Dynamical Model‐Based Subseasonal to Decadal Climate Predictions
by: Ramiro I. Saurral, et al.
Published: (2021-09-01)

A pathway analysis of global aerosol processes
by: Schutgens, N, et al.
Published: (2014)

A pathway analysis of global aerosol processes
by: Schutgens, N, et al.
Published: (2014)

Host model uncertainties in aerosol radiative forcing estimates: results from the AeroCom prescribed intercomparison study
by: Stier, P, et al.
Published: (2013)

An AeroCom/AeroSat study: intercomparison of satellite AODDatasets for Aerosol Model Evaluation
by: Schutgens, N, et al.
Published: (2020)

An improved multivariable integrated evaluation method and tool (MVIETool) v1.0 for multimodel intercomparison
by: M.-Z. Zhang, et al.
Published: (2021-05-01)

Intercomparing the quality of recent reanalyses for offshore wind farm planning in Germany's exclusive economic zone of the North Sea
by: T. Spangehl, et al.
Published: (2023-11-01)

Intercomparing atmospheric reanalysis products for hydrodynamic and wave modeling of extreme events during the open-water Arctic season
by: Felício Cassalho, et al.
Published: (2022-12-01)

Unmanned aerial system nadir reflectance and MODIS nadir BRDF-adjusted surface reflectances intercompared over Greenland
by: J. F. Burkhart, et al.
Published: (2017-07-01)

SPSS 14.0 guide to data analysis /
by: Norusis, M. J. (Marija J.), 1948-, et al.
Published: (2006)

SPSS 14.0 base user's guide
Published: (2005)

Mathcad 14.0 - English [compact disc] /
by: Sabin, William E
Published: (2007)

Regime-based analysis of aerosol-cloud interactions
by: Gryspeerdt, E, et al.
Published: (2012)

On the contribution of fast and slow responses to precipitation changes caused by aerosol perturbations
by: Stier, P, et al.
Published: (2021)

Model intercomparison of COSMO 5.0 and IFS 45r1 at kilometer-scale grid spacing
by: C. Zeman, et al.
Published: (2021-07-01)

Host model uncertainties in aerosol radiative forcing estimates: results from the AeroCom Prescribed intercomparison study
by: Stier, P, et al.
Published: (2013)

T140
by: M. Yakubovskaya, et al.
Published: (2015-11-01)