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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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Caption: The Water Point Viewer’s current water points stretch from Mali to Somalia.

ESSIC Scientist Expands Water Availability Prediction in East and West Africa

ESSIC Researcher Kimberly Slinski is the Principal Investigator on “Earth Observation-Based Monitoring and Forecasting of Rangeland Water Resources”, a newly funded project that aims to develop new capabilities for monitoring and forecasting water availability in African rangeland ponds. The project team includes Shrad Shukla and Chris Funk of the University of California Santa Barbara, Mike Jasinski of NASA GSFC, and Gabriel Senay of USGS.

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