ACTIVATE: Science
Goals
Overarching goal: Robustly characterize aerosol-cloud-meteorology interactions using extensive, systematic, and simultaneous in situ and remote sensing airborne measurements with two aircraft and a hierarchy of models. ACTIVATE focuses on marine boundary layer (MBL) clouds that span the continuum of stratiform and cumulus clouds and include post-frontal conditions. Together, these clouds cover more than 45% of the ocean surface and exert a large net cooling effect.
ACTIVATE’s Fundamental science goals:
1) Improve understanding and model representations of relationships between number concentrations of aerosol (Na), cloud condensation nuclei (CCN), and cloud droplets (Nd) and the relationships between cloud micro/macro-physical properties;
2) Acquire a unique dataset for international model intercomparison and process-based studies;
3) Evaluate current remote sensing retrievals and prototypes for future satellite missions; and
4) Develop improved satellite-based Nd retrievals and CCN proxies.
Objectives
Science Objective 1: Quantify Na-CCN-Nd relationships and reduce uncertainty in model cloud droplet activation parameterizations.
- How do these relationships depend on aerosol characteristics (e.g., amount, size, composition, type) and dynamic and thermodynamic properties?
- How consistent are these relationships across the complete range of spatial scales provided by airborne in situ and remote sensing measurements and satellite remote sensing retrievals?
- What are the magnitudes of the biases in the Na-CCN-Nd relationships from satellite aerosol proxies? How do these translate to uncertainties in Nd parameterizations in current climate models?
Science Objective 2: Improve process-level understanding and model representation of factors governing cloud micro/macro-physical properties and how they couple with cloud effects on aerosol.
- What are the relationships between Nd, cloud micro/macro-physical properties, and meteorology?
- To what extent do uncertainties in Na/cloud/meteorology relationships, within the targeted cloud regimes, in global aerosol-climate models come from biases in aerosols, clouds, and meteorological factors? How can the identified model biases and uncertainties be reduced using the measurements?
- How can climate models better represent challenging cloud and meteorological conditions, such as post-frontal clouds and cold air outbreaks?
- What is the signature of cloud effects on the CCN budget (e.g., wet scavenging, aqueous processing, entrainment)?
Science Objective 3: Assess advanced remote sensing capabilities for retrieving aerosol and cloud properties related to aerosol-cloud interactions.
- How well and under what conditions can active and passive remote sensing retrievals provide improved measurements of Nd and proxies for CCN concentration?
- How well can a combination of remote sensors improve measurements of LWP?
How will ACTIVATE advance our knowledge and understanding in:
Atmospheric Composition:
Uniquely provides comprehensive measurements of aerosol and cloud properties. |
Water & Energy Cycle:
Provides detailed measurements of clouds and cloud properties relevant to precipitation and radiation. |
Climate Variability and Change:
Improves understanding and model parameterizations for estimating the impacts of aerosols on cloud properties and reduces uncertainties and known biases in climate model simulations of clouds, leading to a better understanding of climate variability and projection of climate change. |
Weather:
Improves understanding and model parameterizations for estimating the impacts of aerosols on cloud properties and reduces uncertainties and known biases in climate model simulations of clouds, leading to a better understanding of climate variability and projection of climate change. |
Operations
ACTIVATE will deploy two complementary aircraft over the western North Atlantic Ocean – the NASA LaRC HU-25 Falcon and B-200 King Air. The HU-25 acquires in situ measurements below, in, and above clouds. The B-200 flies above clouds to remotely measure aerosols and clouds using the High Spectral Resolution Lidar-2 (HSRL‑2), the Research Scanning Polarimeter (RSP), and deploys dropsondes to measure the atmospheric state. Since both aircraft and the majority of in situ and remote sensing instruments are based at LaRC adjacent to the western Atlantic study region, ACTIVATE will acquire a statistically robust dataset through an extensive series of flights (~50 joint airplane missions per year) in each of three years (~600 hours and ~150 flights over three years for each airplane). We will sample a wide range of aerosol and cloud conditions by planning February–June flights.
Modeling
The modeling tools planned for ACTIVATE are:
- Weather Research and Forecasting (WRF) model
- Distributed Hydrodynamic Aerosol and Radiative Modeling Application (DHARMA)
- FLEXible PARTicle (FLEXPART) dispersion model
- Goddard Earth Observing Model, version 5 (GEOS-5)
- Atmospheric chemistry model coupled with GEOS (GEOS-Chem)
- GISS GCM, version E3 (GISS-E3)
- Community Atmosphere Model, version 5 (CAM5)
- Energy Exascale Earth System Model (E3SM)