Abstract Supercooled liquid clouds are ubiquitous over the Southern Ocean (SO), even to temperatures below −20°C, and comprise a large fraction of the marine boundary layer (MBL) clouds. Earth system models and reanalysis products have struggled to reproduce the observed cloud phase distribution and occurrence of cloud ice in the region. Recent simulations found the microphysical representation of ice nucleation and growth has a large impact on these properties, however, measurements of SO ice nucleating particles (INPs) to validate simulations are sparse. This study presents measurements of INPs from simultaneous aircraft and ship campaigns conducted over the SO in austral summer 2018, which include the first in situ observations in and above cloud in the region. Our results confirm recent observations that INP concentrations are uniformly lower than measurements made in the late 1960s. While INP concentrations below and above cloud are similar, higher ice nucleation efficiency above cloud supports model simulations that the dominant INP composition varies with height. Model parameterizations based solely on aerosol properties capture the mean relationship between INP concentration and temperature but not the observed variability, which is likely related to the only modest correlations observed between INPs and environmental or aerosol metrics. Including wind speed in addition to activation temperature in a marine INP parameterization reduces bias but does not explain the large range of observed INP concentrations. Direct and indirect inference of marine INP size suggests MBL INPs, at least during Austral summer, are dominated by particles with diameters smaller than 500 nm.
more »
« less
Radar First Echo Detection With Spaceborne Precipitation Radars
Abstract The radar “first echo” appears in a fresh growing cloud when hydrometeors grow to large enough sizes to be detected by radar. Using 26‐year observations by the Ku band radars onboard the Global Precipitation Mission and the Tropical Rainfall Measurement Mission satellites, isolated pixels with detectable radar echoes at altitude and without precipitation at the surface are identified as candidate “first echoes.” In general, the appearance of the “first echoes” show three altitude‐related modes in the tropics. The shallow mode at 1.5–2 km is mainly from the growth of warm rain from rapid coalescence. The mid mode between 0°C and −7°C is found mainly over land and coastal regions, that can be explained by the enhanced radar reflectivity by ice particles through heterogenous ice nucleation at relative warmer temperatures, followed by active riming. The deep mode between −12°C and −25°C is frequently found over both land and ocean. Around 12% of isolated echoes, mainly over desert regions, could be the remnant of dissipating precipitation, like virga. Cloud base height and total column water vapor derived from ERA5 reanalysis are found positively related to the “first echo” height. The mid mode first echoes are more likely found in a moist (ice‐supersaturated) environment, a favorable condition for crystal growth following heterogeneous ice nucleation. While the shallow mode over ocean tends to have more sea salt aerosols, large smoke and sulfate aerosol concentrations are often associated with the mid mode, and large dust aerosol concentrations are often involved with the deep mode.
more »
« less
- Award ID(s):
- 1945871
- PAR ID:
- 10671434
- Publisher / Repository:
- Wiley
- Date Published:
- Journal Name:
- Journal of Geophysical Research: Atmospheres
- Volume:
- 130
- Issue:
- 24
- ISSN:
- 2169-897X
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
Abstract Using data from the airborne HIAPER Cloud Radar (HCR), a partitioning algorithm (ECCO-V) that provides vertically resolved convectivity and convective versus stratiform radar-echo classification is developed for vertically pointing radars. The algorithm is based on the calculation of reflectivity and radial velocity texture fields that measure the horizontal homogeneity of cloud and precipitation features. The texture fields are translated into convectivity, a numerical measure of the convective or stratiform nature of each data point. The convective–stratiform classification is obtained by thresholding the convectivity field. Subcategories of low, mid-, and high stratiform, shallow, mid-, deep, and elevated convective, and mixed echoes are introduced, which are based on the melting-layer and divergence-level altitudes. As the algorithm provides vertically resolved classifications, it is capable of identifying different types of vertically layered echoes, and convective features that are embedded in stratiform cloud layers. Its robustness was tested on data from four HCR field campaigns that took place in different meteorological and climatological regimes. The algorithm was adapted for use in spaceborne and ground-based radars, proving its versatility, as it is adaptable not only to different radar types and wavelengths, but also different research applications.more » « less
-
null (Ed.)Abstract The Cloud, Aerosol, and Complex Terrain Interactions (CACTI) field campaign was designed to improve understanding of orographic cloud life cycles in relation to surrounding atmospheric thermodynamic, flow, and aerosol conditions. The deployment to the Sierras de Córdoba range in north-central Argentina was chosen because of very frequent cumulus congestus, deep convection initiation, and mesoscale convective organization uniquely observable from a fixed site. The C-band Scanning Atmospheric Radiation Measurement (ARM) Precipitation Radar was deployed for the first time with over 50 ARM Mobile Facility atmospheric state, surface, aerosol, radiation, cloud, and precipitation instruments between October 2018 and April 2019. An intensive observing period (IOP) coincident with the RELAMPAGO field campaign was held between 1 November and 15 December during which 22 flights were performed by the ARM Gulfstream-1 aircraft. A multitude of atmospheric processes and cloud conditions were observed over the 7-month campaign, including: numerous orographic cumulus and stratocumulus events; new particle formation and growth producing high aerosol concentrations; drizzle formation in fog and shallow liquid clouds; very low aerosol conditions following wet deposition in heavy rainfall; initiation of ice in congestus clouds across a range of temperatures; extreme deep convection reaching 21-km altitudes; and organization of intense, hail-containing supercells and mesoscale convective systems. These comprehensive datasets include many of the first ever collected in this region and provide new opportunities to study orographic cloud evolution and interactions with meteorological conditions, aerosols, surface conditions, and radiation in mountainous terrain.more » « less
-
Abstract The Echo Classification from COnvectivity (ECCO) algorithm identifies convective and stratiform types of radar echo in three dimensions. It is based on the calculation of reflectivity texture—a combination of the intensity and the heterogeneity of the radar echoes on each horizontal plane in a 3D Cartesian volume. Reflectivity texture is translated into convectivity, which is designed to be a quantitative measure of the convective nature of each 3D radar grid point. It ranges from 0 (100% stratiform) to 1 (100% convective). By thresholding convectivity, a more traditional qualitative categorization is obtained, which classifies radar echoes as convective, mixed, or stratiform. In contrast to previous algorithms, these echo-type classifications are provided on the full 3D grid of the reflectivity field. The vertically resolved classifications, in combination with temperature data, allow for subclassifications into shallow, mid-, deep, and elevated convective features, and low, mid-, and high stratiform regions—again in three dimensions. The algorithm was validated using datasets collected over the U.S. Great Plains during the PECAN field campaign. An analysis of lightning counts shows ∼90% of lightning occurring in regions classified as convective by ECCO. A statistical comparison of ECCO echo types with the well-established GPM radar precipitation-type categories show 84% (88%) of GPM stratiform (convective) echo being classified as stratiform (convective) or mixed by ECCO. ECCO was applied to radar grids for the continental United States, the United Arab Emirates, Australia, and Europe, illustrating its robustness and adaptability to different radar grid characteristics and climatic regions.more » « less
-
Abstract. Ice-nucleating particles (INPs) represent a rare subset of aerosol particlesthat initiate cloud droplet freezing at temperatures above the homogenousfreezing point of water (−38 ∘C). Considering that the oceancovers 71 % of the Earth's surface and represents a large potential sourceof INPs, it is imperative that the identities, properties and relativeemissions of ocean INPs become better understood. However, the specificunderlying drivers of marine INP emissions remain largely unknown due tolimited observations and the challenges associated with isolating rare INPs. Bygenerating isolated nascent sea spray aerosol (SSA) over a range ofbiological conditions, mesocosm studies have shown that marine microbes cancontribute to INPs. Here, we identify 14 (30 %) cultivable halotolerantice-nucleating microbes and fungi among 47 total isolates recovered fromprecipitation and aerosol samples collected in coastal air in southernCalifornia. Ice-nucleating (IN) isolates collected in coastal air were nucleated ice fromextremely warm to moderate freezing temperatures (−2.3 to −18 ∘C). While some Gammaproteobacteria and fungi are known to nucleate ice attemperatures as high as −2 ∘C, Brevibacterium sp. is the first Actinobacteriafound to be capable of ice nucleation at a relatively high freezingtemperature (−2.3 ∘C). Air mass trajectory analysis demonstratesthat marine aerosol sources were dominant during all sampling periods, andphylogenetic analysis indicates that at least 2 of the 14 IN isolates areclosely related to marine taxa. Moreover, results from cell-washingexperiments demonstrate that most IN isolates maintained freezing activityin the absence of nutrients and cell growth media. This study supportsprevious studies that implicated microbes as a potential source of marineINPs, and it additionally demonstrates links between precipitation, marineaerosol and IN microbes.more » « less
An official website of the United States government

