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Author: Cazzy Medley

Lightning as an Indicator of Climate

ESSIC/CISESS scientist Daile Zhang attended and presented at the National Climate Assessment (NCA) “Lightning as an Indicator of Climate” Annual Science Meeting that was held on June 6-7 at the UMD Department of Atmospheric and Oceanic Science (AOSC) Atlantic Building. The meeting is an annual working group get-together for people from NASA, University of Arizona, City College of New York, University of Alabama in Huntsville, and University of Maryland on various lightning tasks/projects, including lightning climatology, lightning NOx observations, dry lightning, wildfires, and this year’s NASA Marshall Space Flight Center CubeSpark project.

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Santiago Gasso smiles brightly in a dusty landscape

Gassó Teaches in Virtual Summer School

ESSIC Scientist Santiago Gassó participated as speaker in and chaired several sessions during the Surface-Ocean Lower Atmosphere Study (SOLAS) Summer virtual school, which was held June 13-17,2022. He taught a remote sensing module on June 13, chaired the Atmospheric deposition and ocean biogeochemistry session, and co hosted the Science Writing and Social media Workshop on June 14. He was also a judge for all poster sessions and a photography competition held throughout the week.

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A snapshot of the panel discussion

Ellen Williams on Nuclear Threat Initiative Panel Discussion

ESSIC Director Ellen Williams participated in a panel discussion at the Nuclear Threat Initiative 20th Anniversary Dinner. At the discussion, she spoke about taking a multifaceted perspective towards technological advances in the nuclear industry. See the video below to watch the full discussion.

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Figure: Vertical profiles of co-located LEO AMVs and RAY (red) and MIE (blue) winds. The top row shows the Arctic (north of 60° N), (a) mean AMV HLOSV (solid lines), Aeolus HLOSV (long dashed lines; m s−1), and mean AMV wind speed (short dashed lines; m s−1), (b) MCDs (solid), SDCDs (short dashed), and AMV HLOSV error, as represented by SDCD–Aeolus L2B uncertainty (long dashed; m s−1), and (c) co-location counts. Panels (d–f) are as in panels (a–c) but for the Antarctic (south of 60° S). Colored open circles indicate levels where MCDs are statistically significant at the 95 % level (p value < 0.05), using the paired Student’s t test. Vertical zero lines are displayed in the center panels in black. Levels with observation counts > 25 are plotted.

Atmospheric Motion Vector Bias and Uncertainty

ESSIC/CISESS Scientists Katherine Lukens (a former CISESS grad student), Kayo Ide, Hui Liu, and Ross Hoffman have a new article in the journal Atmospheric Measurement Techniques about their work with the NOAA/NESDIS Office of Projects, Planning, and Acquisition (OPPA) Technology Maturation Program (TMP). The need for highly accurate atmospheric wind observations is a high priority in the science community, particularly for numerical weather prediction (NWP). To address this need, this study leverages Aeolus wind lidar level-2B data provided by the European Space Agency (ESA) as a potential comparison standard to better characterize atmospheric motion vector (AMV) bias and uncertainty.

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