Understanding Coupling of Convective Motions and Cloud Macrophysics in Climate Model CMDV-CM4
This project led by Lawrence Berkeley National Laboratory aims to mechanistically couple convective motions and cloud macrophysics in the CMDV-CM4 climate model. Through observational techniques and parameterization development, they seek to evaluate and enhance current cloud representations, develop new cloud schemes, and validate them through simulations. The project involves collaboration with various institutions and utilizes observations such as Doppler lidar data and cloud structure analysis to improve understanding of shallow clouds and lower-tropospheric conditions.
- Climate model
- Convective motions
- Cloud macrophysics
- Parameterization development
- Observational techniques
Download Presentation
Please find below an Image/Link to download the presentation.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author. Download presentation by click this link. If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.
E N D
Presentation Transcript
Coupling M echanistically the Convective M otions and Cloud M acrophysics in a Climate M odel CMDV-CM4 Overview Cover Page - Who we are - What we are trying to do - Summary of observational techniques Project Title Coupling Mechanistically the Convective Motions and Cloud Macrophysics in a Climate Model A pplicant/ Institution - Summary of parameterization development Lawrence Berkeley National Laboratory Postal A ddress One Cyclotron Road, Berkeley, CA 94720 A dministrative Point of Contact Rosie Davis, 510-486-7496, brdavis@ lbl.gov Lead PI David Romps, 510-486-7175, dromps@ lbl.gov DOE National Laboratory A nnouncement Number LAB 16-1530 DOE/ Office of Science Program Office Office of Biological and Environmental Research DOE/ Office of Science Program Office Technical Contact Dr. Dorothy Koch PA M S Letter of Intent Tracking Number LOI-0000014513
CMDV-CM4 Collaborators David Romps Andrew Vogelmann Christopher Bretherton Charles Jackson Michael Jensen Pavlos Kollias Rusen Oktem Lead PI Co-PI Co-PI Co-PI Co-I Co-I Co-I LBNL BNL U Washington UT Austin BNL BNL LBNL
What we are trying to do CM4 will use new ARM observations of shallow clouds and the lower-tropospheric state to evaluate the current CLUBB representation of shallow clouds in ACME, develop a shallow- cloud scheme for the SPM, and tune and validate those shallow-cloud schemes in single- column-model (SCM) simulations. ACME Obs Param
Obs Subcloud turbulence structure from Doppler lidar (BNL)
Obs Thermodynamic structure and stability from AERI/MWR and Raman lidar (BNL) Cloud-base mass flux from KAZR Doppler (BNL) In-cloud w and TKE from KAZR (BNL) Liquid water from KAZR and MWR (BNL)
Obs Bulk convective entrainment rate (BNL)
Obs Gridded binary cloud field from stereo cameras (LBNL)
Obs CM4 LES, borrowing LASSO methodologies, at ~25-m and ~5-min resolutions (BNL)
Obs CRM cloud-radar simulator; CR-SIM (BNL)
20 20 20 liquid LES ice LES purity LES 15 15 15 Height (km) Height (km) Height (km) 10 10 10 5 5 5 0 0 0 Param ice 0.000 LES updraft liquid mass fraction 20 liquid 0.002 0.004 0e+00 LES updraft ice mass fraction 20 0.0 0.2 LES updraft purity 0.4 0.6 0.8 1.0 4e 04 8e 04 20 SPM SPM purity SPM 15 15 15 Height (km) Height (km) Height (km) Stochastic Parcel Model (SPM) convective parameterization (LBNL) 0.000 0.002 0.004 SPM updraft liquid mass fraction SPM updraft ice mass fraction 20 theta e LES buoyancy 10 10 10 5 5 5 0 0 0 0e+00 0.0 0.2 SPM updraft purity 0.4 0.6 0.8 1.0 4e 04 8e 04 20 20 LES velocity LES 15 15 15 Height (km) Height (km) Height (km) 10 10 10 5 5 5 0 0 0 325 335 345 355 0.00 0.05 0.10 0.15 0 5 10 15 20 0.05 LES updraft buoyancy(m s2) 20 buoyancy LES updraft theta e (K) LES updraft velocity (m/s) 20 20 SPM SPM velocity SPM theta e 15 15 15 Height (km) Height (km) Height (km) 10 10 10 5 5 5 0 0 0 325 335 345 355 0.00 0.05 0.10 0.15 0 5 10 15 20 0.05 SPM updraft buoyancy(m s2) SPM updraft theta e (K) SPM updraft velocity (m/s) 0 1
20 20 20 liquid LES ice LES purity LES 15 15 15 Height (km) Height (km) Height (km) 10 10 10 5 5 5 0 0 0 0.000 LES updraft liquid mass fraction 20 liquid 0.002 0.004 0e+00 LES updraft ice mass fraction 20 ice 0.0 0.2 LES updraft purity 0.4 0.6 0.8 1.0 4e 04 8e 04 20 SPM SPM purity SPM 15 15 15 Height (km) Height (km) Height (km) 10 10 10 5 5 5 0 0 0 0.000 SPM updraft liquid mass fraction 20 theta e 0.002 0.004 0e+00 SPM updraft ice mass fraction 20 buoyancy 0.0 0.2 SPM updraft purity 0.4 0.6 0.8 1.0 4e 04 8e 04 20 LES LES velocity LES 15 15 15 Height (km) Height (km) Height (km) 10 10 10 5 5 5 0 0 0 325 335 345 355 0.00 0.05 0.10 0.15 0 5 10 15 20 0.05 LES updraft buoyancy(m s2) 20 buoyancy LES updraft theta e (K) LES updraft velocity (m/s) 20 20 SPM SPM velocity SPM theta e 15 15 15 Height (km) Height (km) Height (km) 10 10 10 5 5 5 0 0 0 325 335 345 355 0.00 0.05 0.10 0.15 0 5 10 15 20 0.05 SPM updraft buoyancy(m s2) SPM updraft theta e (K) SPM updraft velocity (m/s) 0 1
Param Framework for evaluating ACME shallow convection against RACORO (U Washington)
Param UQ infrastructure for ACME in single-column mode (UT Austin) |Model Obs| Critical RH for low clouds Critical RH for high clouds
What we could use Updated ACME SCM code Any upgrades to CLUBB from other projects Help with tuning and evaluation in global ACME simulations Help investigating of process-coupling errors
CMDV-CM4 Collaborators David Romps Andrew Vogelmann Christopher Bretherton Charles Jackson Michael Jensen Pavlos Kollias Rusen Oktem Lead PI Co-PI Co-PI Co-PI Co-I Co-I Co-I LBNL BNL U Washington UT Austin BNL BNL LBNL
