2021 AGU Fall Meeting

December 13-17, 2021
New Orleans, Louisiana, USA
AGU
The American Geophysical Union (AGU) Fall Meeting is the primary gathering for Earth and space scientists, students, and those in affiliated fields to share scientific findings and identify innovative solutions. Over 45 AOS-related presentations will be given at this year's meeting.
Meeting Documents: 78
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A Dataset and Deep Learning Method for Retrieval of Vertical Cloud Distributions from Multi-Angle, Polarimetric Imagery

Author(s): Knobelspiesse, K. and Foley, S.
Date: 13-Dec-2021
Machine learning is becoming increasingly popular for aerosol retrieval and cloud masking due to their accuracy and adaptability. This is particularly true for techniques which process multiple pixels at once, namely deep convolutional neural networks, which are proving effective in various remote sensing applications.

A New CALIPSO Algorithm to Identify Mixed-phase Cloud

Author(s): Winker, D.
Date: 16-Dec-2021
The current CALIOP cloud phase algorithm discriminates ice clouds from liquid clouds using 532 nm attenuated backscatter and depolarization signals. Both ice and liquid clouds produce depolarization of the backscatter, but this depolarization results from single scattering in the case of ice and multiple scattering in liquid clouds.

A Next Generation SmallSat Lidar Concept for Atmospheric Science and Opportunities for Multi-Sensor and Modeling Synergy for Aerosol Retrievals

Author(s): Nowottnick, E.P.
Date: 16-Dec-2021
Aerosols play a key role in the Earth's atmosphere through their influence on the radiation budget, modulation of clouds and precipitation, interaction with atmospheric dynamics and biogeochemical cycles, and their negative impacts on air quality. To accurately resolve these varied interactions within the Earth system, the vertical distribution of aerosols must be observed.

A Two-parameter Non-exponential Parameterization for Frozen Clouds and Precipitation Reflecting Recurring Observations in Diverse Cloud Conditions

Author(s): Duffy, G.
Date: 16-Dec-2021
The exponential model is one of the most common assumptions for describing frozen cloud size distributions. It used to describe cloud-ice, precipitation, and aggregation, it is used in retrieval algorithms, weather models, and microphysical process models, and it is predicted in some theoretical models.

Advances in Remote Sensing and Modeling of Vertical Distributions of Aerosols and Clouds I

Author(s): Wang, J.
Date: 13-Dec-2021
The vertical distributions of aerosols and clouds regulate how the radiative energy, water in all phases, and aerosols are distributed within the atmosphere, thereby ultimately affecting air quality and climate at multiple spatiotemporal scales.

Advances in Remote Sensing and Modeling of Vertical Distributions of Aerosols and Clouds II

Author(s): Wang, J.
Date: 13-Dec-2021
The vertical distributions of aerosols and clouds regulate how the radiative energy, water in all phases, and aerosols are distributed within the atmosphere, thereby ultimately affecting air quality and climate at multiple spatiotemporal scales. This session seeks research presentations that highlight recent advances in remote sensing and modeling of aerosol and cloud vertical distributions.

Advances in Remote Sensing and Modeling of Vertical Distributions of Aerosols and Clouds III

Author(s): Wang, J.
Date: 13-Dec-2021
The vertical distributions of aerosols and clouds regulate how the radiative energy, water in all phases, and aerosols are distributed within the atmosphere, thereby ultimately affecting air quality and climate at multiple spatiotemporal scales. This session seeks research presentations that highlight recent advances in remote sensing and modeling of aerosol and cloud vertical distributions.

Advances in Remote Sensing and Modeling of Vertical Distributions of Aerosols and Clouds IV

Author(s): Wang, Z.
Date: 13-Dec-2021
The vertical distributions of aerosols and clouds regulate how the radiative energy, water in all phases, and aerosols are distributed within the atmosphere, thereby ultimately affecting air quality and climate at multiple spatiotemporal scales. This session seeks research presentations that highlight recent advances in remote sensing and modeling of aerosol and cloud vertical distributions.

Advances in Remote Sensing and Modeling of Vertical Distributions of Aerosols and Clouds IV

Author(s): Wang, J.
Date: 13-Dec-2021
The vertical distributions of aerosols and clouds regulate how the radiative energy, water in all phases, and aerosols are distributed within the atmosphere, thereby ultimately affecting air quality and climate at multiple spatiotemporal scales. This session seeks research presentations that highlight recent advances in remote sensing and modeling of aerosol and cloud vertical distributions.

Advancing Aerosol Remote Sensing Into the Next Decade I eLightning

Author(s): Seidel, F.C.
Date: 16-Dec-2021
It is challenging to capture the large spatiotemporal variability of aerosol concentration, microphysical properties and vertical distribution. The uncertainty related to absorbing aerosols is particularly large due to the difficulty of inferring absorption from observations.

Advancing Aerosol Remote Sensing Into the Next Decade II

Author(s): Seidel, F.C.
Date: 16-Dec-2021
It is challenging to capture the large spatiotemporal variability of aerosol concentration, microphysical properties and vertical distribution. The uncertainty related to absorbing aerosols is particularly large due to the difficulty of inferring absorption from observations.

Aerosol Remote Sensing Inversion: Improvement of Retrieval Efficiency

Author(s): Xu, F.
Date: 17-Dec-2021
Retrieval efficiency is a major concern in polarimetric aerosol remote sensing. Much effort has been contributed to this regard over the past several decades. We improved the polarimetric aerosol retrievals by developing a correlation-based inversion method for aerosol property (CIMAP) retrieval algorithm.

Aerosol Retrieval Simulations in Support of the Designated Observable Study for the NASA ACCP (Aerosols, Clouds, Convection, Precipitation) Project

Author(s): Redemann, J.
Date: 17-Dec-2021
The Science Impact Team-Aerosols (SIT-A) was charged with quantitatively evaluating retrieval uncertainties for aerosol-related Geophysical Variables in support of ACCP science goals, comparing them to requirements formulated in the Science and Applications Traceability Matrix (SATM), and translating these comparisons into Quality Scores (QS).

Aerosol Retrievals of Simulated Polarimetric Observations Derived from the GEOS-5 Nature Run: Exploring Polarimeter Performance Under Complex Conditions

Author(s): Espinosa, R.
Date: 13-Dec-2021
The present generation of space-based sensors generally provide measurements spanning most of the shortwave spectrum, or observations at multiple viewing angles, but rarely both. Moreover, very few of these instruments resolve the polarization state of the observed radiances, and those that do lack the accuracy and spatial resolution required to fully utilize this quantity.

Aerosols and Clouds in the Advanced Imager Era (as Program of Record for the A-CCP Observing System)

Author(s): Levy, R.
Date: 17-Dec-2021
In the early 2000s, the launches of Terra and Aqua initiated a golden era for observing aerosols and clouds from visible-to-infrared imagers in low earth orbit (LEO). That MODIS legacy is continuing with the VIIRS sensors on JPSS as well as similar sensors on international satellites.

Aerosols, Clouds, Convection, and Precipitation I

Author(s): Omar, A.
Date: 17-Dec-2021
The 2017 NASA Earth Science Decadal Survey identified science and applications priorities to be pursued during 2017-2027 time. The Decadal Survey identified a number of key science and applications questions and recommended augmentation of the Program of Record (PoR) with several designated observables. This session focuses on the science associated with the aerosols (A) and clouds, convection, and precipitation (CCP) designated observables.

Aerosols, Clouds, Convection, and Precipitation II

Author(s): Omar, A.
Date: 17-Dec-2021
The 2017 NASA Earth Science Decadal Survey identified science and applications priorities to be pursued during 2017-2027 time. The Decadal Survey identified a number of key science and applications questions and recommended augmentation of the Program of Record (PoR) with several designated observables. This session focuses on the science associated with the aerosols (A) and clouds, convection, and precipitation (CCP) designated observables.

Aerosols, Clouds, Convection, and Precipitation III

Author(s): Omar, A.
Date: 17-Dec-2021
The 2017 NASA Earth Science Decadal Survey identified science and applications priorities to be pursued during 2017-2027 time. The Decadal Survey identified a number of key science and applications questions and recommended augmentation of the Program of Record (PoR) with several designated observables.

An Assessment of the Doppler Measurements With a Ku-band Spaceborne Precipitation Radar

Author(s): Kanemaru, K.
Date: 17-Dec-2021
Currently, a future satellite mission of precipitation observations is discussed in Japan.

Application of the CMAQ-HSRL-CH and HSRL-CH Methodologies for Improving Estimates of PM2.5 Concentration to Data from the KORUS-AQ Campaign

Author(s): Meskhidze, N.
Date: 16-Dec-2021
Characterizing ambient PM2.5 mass concentration and speciation has important applications in the fields of air quality and climate science, thus it has been the subject of many recent studies.

Applications of the Eend-to-End Simulator of the Thin Ice Clouds and Far IR Emissions (TICFIRE) Instrument to the Cold Regions of the Globe and Upper Troposphere

Author(s): Blanchard, Y.
Date: 15-Dec-2021
The processes involving aerosols, clouds, water vapour cycle and their feedback mechanisms remain large sources of uncertainty in our understanding of Earth's climate system. In particular, clouds play a key role in the Earth's energy and water budgets, though their modulation of precipitation, atmospheric composition and radiation, but the spatiotemporal variability of their properties makes them difficult to observe, to characterize and to model.

Bin Microphysics for Improved Simulations of Boundary Layer Clouds, Deep Convention, and Precipitation

Author(s): Smith, J.
Date: 17-Dec-2021
We improve an existing model of aerosol and cloud microphysics to produce more realistic clouds in an Earth System Model.

Characteristics of Cirrus Cloud Over Europe: Long-term Trends, Seasonal Variations and Changes During the COVID-19 Caused Aviation Reduction

Author(s): Li, Q.
Date: 17-Dec-2021
Cirrus clouds are ubiquitous high-level clouds mainly consisting of ice crystals with a variety of sizes and shapes. They play a crucial role in the Earth's radiation budget.

Classification of Precipitation Types Over Oceans Using Microwave Observations Between 89 and 190 GHz

Author(s): Chen, R.
Date: 17-Dec-2021
This paper presents an experimental version of a new scheme for diagnosing precipitation types from liquid, mixed and ice phases.

Cloud and Aerosol Plume Dynamics Inferred by the Tandem Stereographic Camera Concept as Part of NASA’s future Atmosphere Observing System: Aerosol, Cloud, Convection, and Precipitation (ACCP) Satellite Mission

Author(s): Seidel, F.C.
Date: 17-Dec-2021
To fulfill the science needs described in the 2017 Earth Science Decadal Survey, NASA's Earth Science enterprise is developing an Atmosphere Observing System, the Aerosols, Clouds, Convection, and Precipitation (ACCP) mission. A key part of the proposed ACCP mission is a set of novel Tandem Stereographic Cameras.

Cold Fog Amongst Complex Terrain (CFACT): A Field Campaign and Science on Cold Fog, Low-Level Clouds, and Aerosols

Author(s): Pu, Z.
Date: 17-Dec-2021
Fog consists of tiny water droplets or ice crystals suspended in the air at or near the Earth’s surface and is considered as a type of low-lying cloud. Fog forms in high-elevation complex terrain as frequently as over water bodies but is less understood and hard to predict.

Comparison of Cumulus Cloud Microphysical Properties Inside and Outside Plumes of Biomass Burning and Anthropogenic Aerosols: Results from CAMP2Ex

Author(s): Miller, R.
Date: 17-Dec-2021
The influence of biomass burning (BB) and anthropogenic aerosols on clouds represents one of the largest uncertainties in radiative forcings of the climate system.

Convection: Connections to Weather, Air Quality and Climate (Invited)

Author(s): van den Heever, S.
Date: 17-Dec-2021
Convection plays a critical role in Earth's weather and climate system. Much of the fresh water on the planet is provided by convective clouds, with some regions on the planet being entirely dependent on convective systems for their drinking water.

Convective Precipitation Retrievals from Space-borne Dual Frequency (Ka- and Wa-band) Radar Observations

Author(s): Grecu, M.
Date: 17-Dec-2021
The 2017 Decadal Survey highlighted Earth System Science themes, science and application questions that led to the inclusion aerosols (A), clouds, convection, and precipitation (CCP) in the list of designated observables (DOs) to be pursued within the decade following the survey.

Convective Precipitation Retrievals from Space-borne Dual Frequency (Ka- and Wa-band) Radar Observations

Author(s): Grecu, M.
Date: 17-Dec-2021
The 2017 Decadal Survey highlighted Earth System Science themes, science and application questions that led to the inclusion aerosols (A), clouds, convection, and precipitation (CCP) in the list of designated observables (DOs) to be pursued within the decade following the survey.

Convective Vertical Air Motion Estimates by the Spaceborne Doppler Radars of NASA’s Aerosols, Clouds, Convection, and Precipitation (ACCP) Observing System

Author(s): Kollias, P.
Date: 17-Dec-2021
Convective clouds serve as a primary mechanism for the transfer of thermal energy, moisture, and momentum through the troposphere, significantly impacting the large-scale atmospheric circulation and local environment, and affecting the probability of subsequent cloud formation

Defining the Vertical Structure of Smoke Aerosols: CALIPSO-based Smoke Plume Detrainment Heights

Author(s): Soja, A.J.
Date: 13-Dec-2021
Wildland fires are nationally and globally significant events that strongly affect both human–dominated and wild landscapes. Even though fire can be devastating, wildland fire is a natural and integral force on our landscapes. However, climate change is altering global weather and wildland fire patterns, which then directly and indirectly impact weather and climate, our health, economies, livelihoods, infrastructure, and society.

Detection of the Aerosol Effect on Lightning Based on Ground and Satellite Measurements Over the Southern Great Plains During Summer

Author(s): Shan, S.
Date: 17-Dec-2021
Aerosols serve as cloud condensation nuclei (CCN). Thus, increases in aerosol loading create more but smaller cloud droplets that can rise to higher altitudes, leading to suppression of warm rain and invigoration of deep convection.

Dynamic and Thermodynamic Environmental Modulation of Tropical Deep Convection in the Maritime Continent

Author(s): Freeman, S.W.
Date: 17-Dec-2021
We quantified the impacts of varying thermodynamic environments on the strength, morphology, and organization of tropical deep convection within the Maritime Continent (MC).

Engaging Stakeholder Communities Early in Mission Development for NASA’s Atmosphere Observing System

Author(s): Kirschbaum, D.
Date: 17-Dec-2021
The Atmosphere Observing System (AOS) explores the fundamental questions of how interconnections between aerosols, clouds and precipitation impact our weather and climate, addressing real-world challenges to benefit society.

Estimating Vertical Mass Flux in Convective Storms from Low-Earth-Orbit Convoys of Miniaturized Microwave Instruments

Author(s): Haddad, Z.S.
Date: 17-Dec-2021
Microwave radiometers and radars in low Earth orbit (LEO) are sensitive to the amount of condensed water in clouds. However, their temporal sampling is quite limited - a single LEO instrument will very rarely observe a weather system more than once during the lifetime of the system.

Estimation of Aerosol Direct Radiative Effect Through CATCH-derived Aerosol Types

Author(s): Sutherland, B.
Date: 16-Dec-2021
Atmospheric aerosols are highly variable and encompass a wide range of particles with different compositions, sizes, shapes, and optical properties. Thus, current estimates of the direct radiative effect (DRE), the instantaneous radiative impact of natural and anthropogenic aerosols on the Earth's energy balance, have large uncertainties.

Estimation of CCN Concentrations from Spaceborne Lidar Measurements

Author(s): Patel, P.N.
Date: 17-Dec-2021
Aerosol and cloud-mediated change in climate forcing is the most uncertain one among all forcing agencies in the climate system, representing the largest challenge in climate predictions. Quantifying this at a global scale needs space-borne retrieval of cloud condensation nuclei (CCN) number concentration.

Estimation of Subgrid-scale Cloud Hydrometeor Using Cloud Lifetime in a Numerical Forecasting Model

Author(s): Park, R.
Date: 17-Dec-2021
An impact of subgrid-scale cloud hydrometeor on radiation budget is negligible in most Numerical Weather Prediction (NWP) models, but recently, the subgrid-scale cloud hydrometeors were crucially considered in the Korea Integrated Model (KIM).

Evaluating ACCP Architectures for Skill in Constraining the Microphysical Properties of Precipitating Shallow Convective Clouds

Author(s): Mace, G.
Date: 17-Dec-2021
While the goals and objectives of the NASA Aerosol, Clouds, Convection, and Precipitation (ACCP) Mission are broad, many of them have direct or indirect links to shallow low level clouds that are ubiquitous over the global oceans.

Fatima: A Mega-project at the Nexus of (Marine) Fog and Turbulence

Author(s): Fernando, H.J.
Date: 17-Dec-2021
Fog consists of suspended water droplets or ice crystals in the lower atmosphere formed by collusion of dynamic, microphysical, physicochemical, thermodynamic and surface processes, and is identified by conditions with near-ground visibility less than 1 km. Fog negatively affects societal functions such as transportation, communications and ecosystem wellbeing.

Geophysical Descriptors of the Vertical Structure of Convective Storms Retrieved from Satellite Passive Microwave Observations with Different a-priori Constraints

Author(s): Sawaya, R.C.
Date: 17-Dec-2021
To date, the passive microwave observations over storms have been used mostly to estimate the underlying surface rain. In fact, the radiances are more sensitive to the vertical distribution of condensed water than to the rain at any one height.

High Spatial Resolution Shortwave Cloud Remote Sensing During CAMP2Ex: Initial Retrievals from Landsat 8 and Research Scanning Polarimeter (RSP) Multiangle Total Radiance Observations

Author(s): Platnick, S.E.
Date: 17-Dec-2021
The airborne component of the CAMP2Ex field campaign, conducted in late summer 2019, included objectives for understanding and evaluating the use of remotely sensed cloud parameters.

How Accurately Can Warm Rain Realistically Be Retrieved with Satellite Sensors?

Author(s): Schulte, R.
Date: 17-Dec-2021
Satellite-based precipitation products show large differences in retrieved rain rates, especially over the high latitude oceans. A significant part of the uncertainty stems from differing assumptions about drop size distributions (DSDs).

How Does Tropospheric Chemistry Affect the Cloud Radiative Effect?

Author(s): Stanton, N.
Date: 17-Dec-2021
One of the greatest uncertainties in current climate models is the cloud-climate radiative feedback. The cloud-climate radiative feedback is the how the radiative flux out of the top of the atmosphere changes due to the response of climate warming on clouds.

Hyperspectral Infrared Sounder Cloud Fraction Retrieval Using a Deep Neural Network

Author(s): Liu, Q.
Date: 17-Dec-2021
The retrieval of cloud fraction in satellite hyperspectral sounder field of views (FOV) is crucial for numerical weather prediction. This study proposes an innovative cloud fraction retrieval model for the Cross-track Infrared Sounder (CrIS) using an artificial deep neural network (DNN).

Improving Simultaneous Aerosol and Ocean Color Inversions of Multi-angle Polarimetric Measurements Through Adaptive Data Screening and Deep Learning

Author(s): Gao, M.
Date: 13-Dec-2021
Remote sensing measurements from multi-angle polarimeters (MAPs) contain rich aerosol microphysical property information, and these sensors have been used to perform retrievals in optically complex atmosphere and ocean systems. Previous studies have concluded that, generally, five moderately separated viewing angles in each spectral band provide sufficient accuracy for aerosol property retrievals, with performance gradually saturating as angles are added beyond that.

Influence of Clouds and Precipitation on Sub-micron Aerosol Number Size Distributions in the Tropical Atmosphere

Author(s): Khadir, T.
Date: 17-Dec-2021
Clouds and precipitation play a key role in controlling the dynamics of aerosol populations. A quantitative description of atmospheric aerosol particle abundance, variability and size is crucial to assess and predict their impact on climate, including radiative forcing and nucleation of cloud droplets.

Japanese Precipitation Observation Mission with Ku-band Scanning Radar for ACCP

Author(s): Takahashi, N.
Date: 17-Dec-2021
JAXA proposed Ku-band scanning radar with Doppler velocity measurement capability to the NASA's ACCP architecture study.

Kernel Flows to Infer the Structure of Convective Storms from Satellite Passive Microwave Observations

Author(s): Prasanth, S.
Date: 17-Dec-2021
Satellite passive microwave observations over precipitating clouds are used mostly to estimate the underlying surface precipitation rate. Yet the measured brightness temperatures are in fact far more sensitive to the vertical distribution of condensed water than to the amount of condensed water at any single height in the cloudy column, let alone the height that is deepest in the cloud, namely the surface.

Light-absorbing Aerosols and Signatures of Cloud and Climate Responses in Satellite Observations and Models

Author(s): Wilcox, E.M.
Date: 17-Dec-2021
Light-absorbing aerosols are present broadly across the tropics, subtropics, east Asia and in the boreal high latitudes. These aerosols may consist of smoke from burning of biomass, soot from the incomplete combustion of fossil fuels, or wind-blown emissions of soil dust.

Managing the Radiative Transfer Bottleneck in the Analysis of Multi-angle Polarimetric Observations of Aerosols and Clouds (Invited)

Author(s): Knobelspiesse, K.D.
Date: 17-Dec-2021
The field of aerosol and cloud remote sensing stands to benefit from a new generation of sensors that will make multi-angle, polarimetrically sensitive observations from orbit.

Multisensor, Model, and Measurement Synergy to Improve Our Understanding of Aerosol Distributions and Processes I

Author(s): Kacenelenbogen, M.
Date: 16-Dec-2021
Aerosols play an important role in Earth's radiation budget and hydrological cycles, climate, air quality, and human health. In this session we invite submissions that synergistically use Earth observations and modeling to characterize aerosol distribution, size, and speciation for air quality and climate applications.

NASA’s Decadal Survey Study: Aerosols, Clouds, Convection, Precipitation (ACCP)

Author(s): Lefer, B.L., St. Germain, K.M., Maring, H., Braun, S.A., and Moran. V.E.
Date: 16-Dec-2021
The 2017 Decadal Survey for Earth Science and Applications from Space recommended NASA to implement the Aerosols (A) and Clouds, Convection and Precipitation (CCP) Designated Observables as a high priority. The Earth Science Division at NASA Headquarters initiated a combined ACCP pre-formulation study in 2018 with a team from across NASA together with national and international partners in academia, industry, and other international space agencies.

Opportunities to Apply DOE ARM Facility Measurements of Aerosols, Clouds, Precipitation, and Radiation Toward ACCP Science

Author(s): Comstock, J.M. and Mather II, J.H.
Date: 17-Dec-2021
A key component of the 2017 NASA Earth Science Decadal Survey is building orbital and suborbital programs to address science objectives related to Aerosols, Clouds, Convection and Precipitation (ACCP). Ground-based observations can provide constraints and validation datasets for ACCP focused measurements and science objectives related to cloud feedbacks, aerosol-cloud interactions, and aerosol profiles.

ParOSSE: A Flexible Parallel Bayesian Framework for Quantifying Uncertainty in Measurements and Retrievals of Clouds and Precipitation

Author(s): Posselt, D.J.
Date: 17-Dec-2021
We have developed a scalable flexible parallel system that is capable of rapidly and thoroughly evaluating measurement sufficiency in the design of an observing system.

Polarimetric Remote Sensing of the Atmosphere in the PACE UV-VIS Spectrum: Modeling Scattering and Absorption by Brown Carbon

Author(s): Chowdhary, J.
Date: 13-Dec-2021
The NASA Aerosol Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) mission, scheduled for launch in 2023, will carry two instruments that measure UV radiance emerging from the top of the atmosphere (TOA): the Ocean Color Instrument (OCI) and the Spectro-Polarimeter for Planetary Exploration (SPEXone) instrument.

Polarized Radiative Transfer Simulations: The VDISORT Computational Tool

Author(s): Stamnes, K.H.
Date: 17-Dec-2021
We present a new version of the vector discrete ordinate (VDISORT) code for polarized radiative transfer in a vertically stratified medium.

Progress Towards Establishing a NASA Program of Record Dataset (CLDPROP) for Cloud Properties from MODIS, VIIRS, and Beyond

Author(s): Meyer, K.
Date: 15-Dec-2021
As the NASA Earth Observing System (EOS) program ages, NOAA's next-generation operational weather satellites are natural successors for extending important climate data records begun by sensors such as MODIS.

Quantification and Reduction of Bias in Multi-layered Cloud-Top Heights from Terra MISR and MODIS

Author(s): Mitra, A.
Date: 13-Dec-2021
Cloud-top height (CTH) is an Essential Climate Variable, with our longest and most stable single-platform satellite record provided by Terra's Multi-angle Imaging Spectroradiometer (MISR), which employs stereoscopy on visible radiation, and the Moderate Resolution Imaging Spectroradiometer (MODIS), which employs either a CO2-slicing or a 11 μm-brightness temperature technique, in the infrared.

Quantifying the Bias of Optically Thin Cirrus Cloud Contamination on PACE-MAPP Coupled Ocean/Aerosol Retrieval Products

Author(s): Bell, A.
Date: 13-Dec-2021
NASA's upcoming Plankton, Aerosol, Cloud, and Ecosystem (PACE) satellite mission combines measurements from two polarimeters (SPEXone and HARP2) and an ocean color instrument (OCI) to infer aerosol, cloud, and surface properties using the PACE-MAPP inversion framework. It is typically necessary to limit aerosol property retrievals using passive spaceborne radiometers to clear sky pixels due to contamination from clouds.

Quantifying the Effects of Radar Resolution on a Warm Rain Retrieval

Author(s): Storer, R.L.
Date: 17-Dec-2021
In order to understand the life cycle and radiative impact of warm clouds, it is important to be able to detect and measure their precipitation. Due to the ubiquity of these clouds, particularly over the oceans, spaceborne radar is key to obtaining this information.

Relationships Between Lidar Aerosol Extinction and Backscatter Coefficients with CCN Number Concentrations in the Southeast Atlantic

Author(s): Lenhardt, E.
Date: 17-Dec-2021
Due to seasonal biomass burning and the presence of a semi-permanent stratocumulus deck off the western coast of Africa, the Southeast Atlantic region is particularly important in terms of characterizing aerosol and cloud impacts on radiative forcing and regional climate. Aerosols that activate to become cloud droplets, termed cloud condensation nuclei (CCN), provide the direct microphysical link that drive aerosol-cloud interactions.

Retrieval of Cloud Condensation Nuclei Number Concentration Profiles from Combined Lidar and Polarimeter Measurements: A Case Study from NASA ORACLES Campaign

Author(s): Gao, L.
Date: 17-Dec-2021
The vertical distribution of aerosols and their capability to serve as cloud condensation nuclei (CCN) are essential for improving our understanding of aerosol-cloud interactions and associated radiative effects. Currently, reliable CCN data are generally from airborne in-situ measurement and ground-based observations, but are limited to flight tracks or fixed locations.

Scale Invariance Rule Look-up Table for Lidar and Polarimeter Retrievals

Author(s): Chemyakin, E.
Date: 17-Dec-2021
There is an increasing interest in combining simultaneous measurements with active and passive remote sensing instruments to obtain the properties of ambient aerosol in a vertically resolved manner. For instance, the combination of lidar and polarimeter simultaneous observations is expected to reduce uncertainties in the retrievals of aerosol radiative forcing.

Science Objectives of the Aerosols, Clouds, Convection, and Precipitation Millimeter- and Submillimeter-wave Radiometers

Author(s): Adams, I.
Date: 17-Dec-2021
Passive microwave radiometers provide highly useful information regarding the Earth system by measuring thermal emission (from the surface and atmosphere) that is reflected, absorbed, and scattered by the surface and the atmosphere.

Sea Surface Temperature (SST) Dependence of Sea Salt (SS) Emissions - Physical Explanations and Implications for SS Mediated Climate Feedback

Author(s): Wang, C.
Date: 17-Dec-2021
This study is motivated by the potential implications for climate feedbacks from sea salt aerosols (SSA), suggested by recent formulations of SS emission that consider the direct dependency of sea surface temperature (SST) on SS emission.

Second Generation Airborne High Spectral Resolution Lidar (HSRL-2) Measurements of Various Types of Aerosols During ORACLES, CAMP2EX, and ACTIVATE

Author(s): Burton, S.
Date: 13-Dec-2021
The second-generation NASA Langley multi-wavelength High Spectral Resolution Lidar (HSRL-2) makes airborne remote sensing observations of aerosol and cloud vertical distributions, and aerosol extinction, backscattering and depolarization.

Synergies Between the Surface Biology and Geology and the Aerosols, Clouds, Convection and Precipitation: Science, Applications, Societal Benefits, Models, Algorithms and Measurements

Author(s): Shinozuka, Y.
Date: 13-Dec-2021
In 2018 the decadal survey by the US National Academy of Sciences recommended a series of high priority Earth observations for NASA. Two missions, the Surface Biology and Geology (SBG) and Aerosols, Clouds, Convection and Precipitation (ACCP), are core components of NASA's Earth System Observatory to acquire these observations.

The ACCP Inclined Orbit Project: Enabling New and Synergistic Aerosol Remote Sensing Inversions

Author(s): Yorks, J.
Date: 13-Dec-2021
Atmospheric aerosols have high spatiotemporal variations due to their diverse sources including windblown dust, wildfires, volcanic eruptions, and anthropogenic emissions. These aerosols also have strong diurnal emission characteristics that influence long-range transport, air quality, Earth's radiation budget, biogeochemical cycles, and weather forecasting.

The Atmosphere Observing System (AOS): Synergistic Aerosol, Cloud, Convection and Precipitation Measurement and Modeling Systems

Author(s): da Silva, A.
Date: 16-Dec-2021
The 2017 Decadal Survey (DS) highlighted Earth System Science themes, science and application questions, and several high priority objectives that have led to the inclusion of Aerosols (A) and Clouds-Convection-Precipitation (CCP) as Designated Observables (DOs).

The Evolving Role of Models in Satellite Observations of Clouds and Aerosols - Blurring the Boundary Between Observations, Retrieval, Model and Observation Simulators

Author(s): Carmichael, G.
Date: 17-Dec-2021
The close integration of models and observations is an integral component of contemporary weather and air quality prediction systems. However, the interactions between models and observations go far beyond assimilation of observations into forecast models to improve prediction scores.

The NASA Aerosols, Clouds, Convection, and Precipitation (ACCP) Observing System

Author(s): Braun, S.
Date: 17-Dec-2021
NASA's new Earth System Observatory (ESO) will provide key information related to understanding climate change processes, mitigating natural hazards, fighting forest fires, and improving real-time agricultural processes.

The PACE-MAPP Algorithm: Coupled Ocean/Aerosol Products

Author(s): Stamnes, S.
Date: 13-Dec-2021
The PACE-MAPP algorithm for combined SPEXone, HARP2 and OCI observations from NASA's future Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) satellite mission inverts the coupled atmosphere-ocean system to retrieve aerosol optical and microphysical properties and ocean optical properties simultaneously.

Validating Pyshdom: A Tool for the 3D Reconstruction of Clouds using Multi-Angle Radiances and a 3D Radiative Transfer Model

Author(s): Loveridge, J. and Di Girolamo, L.
Date: 13-Dec-2021
A tomographic algorithm for the 3D reconstruction of cloud optical or microphysical properties has been proposed that makes use of observations from multi-angle passive imagers and a 3D radiative transfer model (SHDOM). The retrieval is posed as an optimization problem that is solved through the use of an approximate, but computationally efficient, linearization of 3D radiative transfer.

Validation and Evaluation of Total Ice Number Concentration in CloudSat 2C-ICE Product

Author(s): Deng, M.
Date: 13-Dec-2021
The CloudSat 2C-ICE has contributed to the recent studies of global ice cloud properties and cloud radiative forcing, and model evaluations. The total ice number concentration (Nt) is an important quantity for the understanding of ice nucleation processes, aerosol-cloud interaction, and cloud representation in models. In this study, we first present the Nt derivation from the current 2C-ICE product.

Vertical Profiles Of Aerosol Properties Over The Western North Atlantic Ocean During The North Atlantic Aerosols And Marine Ecosystems Study (NAAMES)

Author(s): Gallo, F.
Date: 17-Dec-2021
The North Atlantic Aerosols and Marine Ecosystems Study (NAAMES) was deployed by NASA in the western subarctic Atlantic between the years 2015 and 2018. One of the primary goals of NAAMES was to improve the understanding of aerosol-cloud-climate interactions over the Atlantic Ocean, under different seasonal regimes, which currently represent the highest source of uncertainty in global climate models.

Water and Aerosol Atmospheric Rivers: Connections to Weather, Air Quality and Climate (Invited)

Author(s): Waliser, D.
Date: 17-Dec-2021
This presentation will highlight the intersections between the science and societal impacts associated with atmospheric rivers (ARs) and the science and applications objectives targeted by NASA's proposed Atmosphere Observing System (AOS) mission [formerly referred to as Aerosol, Clouds, Convection and Precipitation (ACCP)].