Michael Diamond

and 3 more

A transition from sugar to flower shallow cumuli occurred under a layer of mineral dust on February 2, 2020, during the multinational ATOMIC and EUREC4A campaign. Lagrangian large eddy simulations following an airmass trajectory along the trade winds are used to explore radiative impacts of the diurnal cycle and mineral dust on the sugar-to-flower (S2F) cloud transition. The large-scale meteorological forcing is derived from the European Center for Medium-Range Weather Forecasts Reanalysis 5th Generation and based on in-situ measurements during the field campaign. A 12-hour delay in the diurnal cycle accelerates the S2F transition, leading to more cloud liquid water and precipitation at night. The aggregated clouds generate more, and stronger cold pools, which alter the original mechanism responsible for the organization. Although there is still mesoscale moisture convergence in the cloud layer, the near-surface divergence associated with cold pools transports the subcloud moisture to the drier surrounding regions. New convection forms along the cold pool edges, resulting in the next generation of flower clouds. The amount of cloud water, rain, and cold pools reduce after sunrise. The modulation of the surface radiative budget by free-tropospheric mineral dust poses a less dramatic effect on the S2F transition. Mineral dust absorbs shortwave radiation during the day, cooling the boundary layer temperature, enabling stronger turbulence, strengthening the mesoscale organization, and enlarging the aggregate areas. At night, the longwave heating effects of the mineral dust and more cloud liquid water warms the boundary layer, reducing the cloud amount and weakening the organization.

Jan Kazil

and 4 more

An approach to improve the fidelity of Lagrangian large eddy simulation (LES) of boundary layer clouds is presented and evaluated with satellite retrievals and aircraft in-situ measurements. The Lagrangian LES are driven by reanalysis meteorology and follow trajectories of the boundary layer flow. They track the formation and evolution of a pocket of open cells (POC) underneath a biomass burning aerosol layer in the free troposphere. The simulations are evaluated with data from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on board the Meteosat Second Generation (MSG) satellite, and in-situ aircraft measurements from the Cloud-Aerosol-Radiation Interactions and Forcing (CLARIFY) field campaign. The simulations reproduce the evolution of observed cloud morphology, cloud optical depth, and cloud effective radius, and capture the timing of the cloud state transition from closed to open cells seen in the satellite imagery on the three considered trajectories. They also reproduce a biomass burning aerosol layer identified by the in-situ aircraft measurements above the inversion of the POC. We find that entrainment of aerosol from the biomass burning layer into the POC is limited to the extent of having no impact on cloud- or boundary layer properties, in agreement with observations from the CLARIFY field campaign. The simulations reproduce in-situ cloud microphysical properties reasonably well. The role of the model and simulation setup and the resulting uncertainties and biases are presented and discussed, and research and development needs are identified.

Bjorn Stevens

and 291 more

The science guiding the \EURECA campaign and its measurements are presented. \EURECA comprised roughly five weeks of measurements in the downstream winter trades of the North Atlantic — eastward and south-eastward of Barbados. Through its ability to characterize processes operating across a wide range of scales, \EURECA marked a turning point in our ability to observationally study factors influencing clouds in the trades, how they will respond to warming, and their link to other components of the earth system, such as upper-ocean processes or, or the life-cycle of particulate matter. This characterization was made possible by thousands (2500) of sondes distributed to measure circulations on meso (200 km) and larger (500 km) scales, roughly four hundred hours of flight time by four heavily instrumented research aircraft, four global-ocean class research vessels, an advanced ground-based cloud observatory, a flotilla of autonomous or tethered measurement devices operating in the upper ocean (nearly 10000 profiles), lower atmosphere (continuous profiling), and along the air-sea interface, a network of water stable isotopologue measurements, complemented by special programmes of satellite remote sensing and modeling with a new generation of weather/climate models. In addition to providing an outline of the novel measurements and their composition into a unified and coordinated campaign, the six distinct scientific facets that \EURECA explored — from Brazil Ring Current Eddies to turbulence induced clustering of cloud droplets and its influence on warm-rain formation — are presented along with an overview \EURECA’s outreach activities, environmental impact, and guidelines for scientific practice.

Calvin Howes

and 20 more

Aerosol-cloud interactions are both uncertain and important in global and regional climate models, and especially in the southeast Atlantic Ocean. This uncertainty in the region is largely due to two correlated factors---the expansive, bright, semi-permanent stratocumulus cloud deck and the fact that southern Africa is the largest source of biomass-burning aerosols in the world. We study this region using the WRF-Chem model with CAM5 aerosols and in situ observations from the ORACLES and LASIC field campaigns in August-October of 2016 through 2018. We compare aerosol and cloud properties to measure and improve model performance and expand upon observational findings of aerosol-cloud effects. Relevant comparison variables include aerosol number concentration, mean particle diameter and spread, CCN activation tendency, hygroscopicity, and cloud droplet number concentrations. Specifically, our approach is to analyze colocated model data along flight tracks to resolve aerosol-cloud interactions. Within and between single-day flights, there is high spatiotemporal variability that can get lost to large-scale averaging analyses. We have found that CCN is substantially under-represented in the model compared to observations. For a given aerosol number concentration, size, supersaturation and hygroscopicity, the model will consider fewer particles as CCN than observations indicate. We plan to explore this result further, diagnosing the model-observation differences more consistently and updating the model with more physically accurate values of aerosol size, concentration, or hygroscopicity based on observations. We will also intercompare multiple instrument platforms involved with the ORACLES and LASIC campaigns. With improved small-scale aerosol-cloud interactions, this work also shows promise to substantially improve that representation in climate models.

Nicolas Bellouin

and 32 more