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Author: Cazzy Medley

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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Tractor on a paddy field in Mekong Delta, Vietnam

Can the Mekong Delta be saved from drowning?

May 6, 2022 – The Mekong Delta in Viet Nam could be nearly fully submerged by the end of the century if urgent actions are not taken across the river basin. Continuing with business as usual could drown 90% of this agro-economic powerhouse that’s home to nearly 20 million people – with immense local and global impacts.

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Striping of MetOp-A MHS on July 1, 2019

Quantifying and Characterizing Striping of Microwave Humidity Sounder With Observation and Simulation

ESSIC/CISESS scientists John Xun Yang, Yalei You, and Rachael Kroodsma are co-authors on a new paper in IEEE Transactions on Geoscience and Remote Sensing alongside Sidharth Misra from NASA Jet Propulsion Laboratory and William Blackwell from MIT Lincoln Laboratory. Blackwell is also a two-time speaker for the ESSIC Seminar Series, the most recent of which can be viewed here.

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