Articles | Volume 13, issue 4
https://doi.org/10.5194/gmd-13-1975-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-1975-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
21 Apr 2020
Model description paper |
| 21 Apr 2020
| 21 Apr 2020
The Cloud-resolving model Radar SIMulator (CR-SIM) Version 3.3: description and applications of a virtual observatory
School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, 11794 NY, USA
Aleksandra Tatarevic
Department of Atmospheric and Oceanic Sciences, McGill University, Montréal, H3A 0G4, Canada
Pavlos Kollias
School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, 11794 NY, USA
Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, 11973 NY, USA
Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, 11973 NY, USA
Kwangmin Yu
Computational Science Initiative, Brookhaven National Laboratory, Upton, 11973 NY, USA
Andrew M. Vogelmann
Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, 11973 NY, USA
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22 citations as recorded by crossref.
- The future of Earth system prediction: Advances in model-data fusion A. Gettelman et al. 10.1126/sciadv.abn3488
- A Polarimetric Radar Operator and Application for Convective Storm Simulation X. Li et al. 10.3390/atmos13050645
- Characteristics and Variability of Precipitation Across Different Sectors of an Extra‐Tropical Cyclone: A Case Study Over the High‐Latitudes of the Southern Ocean S. Truong et al. 10.1029/2023JD039013
- snowScatt 1.0: consistent model of microphysical and scattering properties of rimed and unrimed snowflakes based on the self-similar Rayleigh–Gans approximation D. Ori et al. 10.5194/gmd-14-1511-2021
- PAMTRA 1.0: the Passive and Active Microwave radiative TRAnsfer tool for simulating radiometer and radar measurements of the cloudy atmosphere M. Mech et al. 10.5194/gmd-13-4229-2020
- Optimizing radar scan strategies for tracking isolated deep convection using observing system simulation experiments M. Oue et al. 10.5194/amt-15-4931-2022
- Multilayer cloud conditions in trade wind shallow cumulus – confronting two ICON model derivatives with airborne observations M. Jacob et al. 10.5194/gmd-13-5757-2020
- Revisiting Raindrop Axis Ratios Based on 3D Oblate Spheroidal Reconstruction: 2D Video Disdrometer Observations During Tropical Cyclone Passages H. Zheng et al. 10.1029/2023GL103281
- Particle inertial effects on radar Doppler spectra simulation Z. Zhu et al. 10.5194/amt-16-3727-2023
- Unraveling ice multiplication in winter orographic clouds via in-situ observations, remote sensing and modeling P. Georgakaki et al. 10.1038/s41612-024-00671-9
- Comparison between Observed and Simulated AgI Seeding Impacts in a Well-Observed Case from the SNOWIE Field Program L. Xue et al. 10.1175/JAMC-D-21-0103.1
- Revisiting the Hail Radar Reflectivity–Kinetic Energy Flux Relation by Combining T-Matrix and Discrete Dipole Approximation Calculations to Size Distribution Observations M. Cecchini et al. 10.1175/JAS-D-20-0373.1
- Spaceborne differential absorption radar water vapor retrieval capabilities in tropical and subtropical boundary layer cloud regimes R. Roy et al. 10.5194/amt-14-6443-2021
- The Earth Model Column Collaboratory (EMC<sup>2</sup>) v1.1: an open-source ground-based lidar and radar instrument simulator and subcolumn generator for large-scale models I. Silber et al. 10.5194/gmd-15-901-2022
- Reconciling Chord Length Distributions and Area Distributions for Fields of Fractal Cumulus Clouds N. Barron et al. 10.3390/atmos11080824
- Arctic mixed-phase clouds simulated by the WRF model: Comparisons with ACLOUD radar and in situ airborne observations and sensitivity of microphysics properties D. Arteaga et al. 10.1016/j.atmosres.2024.107471
- Development of Simulation Models Supporting Next-Generation Airborne Weather Radar for High Ice Water Content Monitoring Y. Shrestha et al. 10.1109/JSTARS.2022.3227124
- Challenging and Improving the Simulation of Mid‐Level Mixed‐Phase Clouds Over the High‐Latitude Southern Ocean É. Vignon et al. 10.1029/2020JD033490
- Overview: Fusion of radar polarimetry and numerical atmospheric modelling towards an improved understanding of cloud and precipitation processes S. Trömel et al. 10.5194/acp-21-17291-2021
- Evaluation of modelled summertime convective storms using polarimetric radar observations P. Shrestha et al. 10.5194/acp-22-7593-2022
- Influence of cloud microphysics schemes on weather model predictions of heavy precipitation G. Köcher et al. 10.5194/acp-23-6255-2023
- Evaluation of convective cloud microphysics in numerical weather prediction models with dual-wavelength polarimetric radar observations: methods and examples G. Köcher et al. 10.5194/amt-15-1033-2022
Latest update: 29 Jun 2024
Short summary
We developed the Cloud-resolving model Radar SIMulator (CR-SIM) capable of apples-to-apples comparisons between the multiwavelength, zenith-pointing, and scanning radar and multi-remote-sensing (radar and lidar) observations and the high-resolution atmospheric model output. Applications of CR-SIM as a virtual observatory operator aid interpretation of the differences and improve understanding of the representativeness errors due to the sampling limitations of the ground-based measurements.
We developed the Cloud-resolving model Radar SIMulator (CR-SIM) capable of apples-to-apples...
