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Title: Are Atmospheric Updrafts a Key to Unlocking Climate Forcing and Sensitivity?

Journal Article · · Atmospheric Chemistry and Physics Discussions (Online)
DOI:https://doi.org/10.5194/acp-2016-400· OSTI ID:1436990

Both climate forcing and climate sensitivity persist as stubborn uncertainties limiting the extent to which climate models can provide actionable scientific scenarios for climate change. A key, explicit control on cloud-aerosol interactions, the largest uncertainty in climate forcing, is the vertical velocity of cloud-scale updrafts. Model-based studies of climate sensitivity indicate that convective entrainment, which is closely related to updraft speeds, is an important control on climate sensitivity. Updraft vertical velocities also drive many physical processes essential to numerical weather prediction. Vertical velocities and their role in atmospheric physical processes have been given very limited attention in models for climate and numerical weather prediction. The relevant physical scales range down to tens of meters and are thus frequently sub-grid and require parameterization. Many state-of-science convection parameterizations provide mass fluxes without specifying vertical velocities, and parameterizations which do provide vertical velocities have been subject to limited evaluation against what have until recently been scant observations. Atmospheric observations imply that the distribution of vertical velocities depends on the areas over which the vertical velocities are averaged. Distributions of vertical velocities in climate models may capture this behavior, but it has not been accounted for when parameterizing cloud and precipitation processes in current models. New observations of convective vertical velocities offer a potentially promising path toward developing process-level cloud models and parameterizations for climate and numerical weather prediction. Taking account of scale-dependence of resolved vertical velocities offers a path to matching cloud-scale physical processes and their driving dynamics more realistically, with a prospect of reduced uncertainty in both climate forcing and sensitivity.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1436990
Journal Information:
Atmospheric Chemistry and Physics Discussions (Online), Vol. 16; ISSN 1680-7375
Publisher:
European Geosciences UnionCopyright Statement
Country of Publication:
United States
Language:
English

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Quantifying cloud base updraft speeds of marine stratocumulus from cloud top radiative cooling journal November 2016
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Remote Sensing of Droplet Number Concentration in Warm Clouds: A Review of the Current State of Knowledge and Perspectives journal June 2018
Observational Relationship Between Entrainment Rate and Environmental Relative Humidity and Implications for Convection Parameterization journal December 2018
The Characteristics of Tropical and Midlatitude Mesoscale Convective Systems as Revealed by Radar Wind Profilers journal April 2019
Impact of vertical air motions on ice formation rate in mixed-phase cloud layers journal October 2019
Dynamic subgrid heterogeneity of convective cloud in a global model: description and evaluation of the Convective Cloud Field Model (CCFM) in ECHAM6–HAM2 journal January 2017
Combining cloud radar and radar wind profiler for a value added estimate of vertical air motion and particle terminal velocity within clouds journal January 2018
Investigation of observational error sources in multi-Doppler-radar three-dimensional variational vertical air motion retrievals journal January 2019
Implementation of a comprehensive ice crystal formation parameterization for cirrus and mixed-phase clouds in the EMAC model (based on MESSy 2.53) journal January 2018
The Green Ocean: precipitation insights from the GoAmazon2014/5 experiment journal January 2018
Dynamic sub-grid heterogeneity of convective cloud in a global model: Description and Evaluation of the Convective Cloud Field Model (CCFM) in ECHAM6–HAM2 journal July 2016
Combining cloud radar and radar wind profiler for a value added estimate of vertical air motion and particle terminal velocity within clouds journal May 2018

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