Tag: Satellite Calibration and Validation

Fig. 3 Brazil local lightning safety day event.

Zhang Organized the 2024 International Lightning Safety Day Event

July 10, 2024

ESSIC/CISESS scientist Daile Zhang took the lead and organized the 2024 International Lightning Safety Day (ILSD) Event on June 28, 2024. The ILSD event serves as an annual virtual platform dedicated to the discussion of lightning safety strategies, educational initiatives, technological advancements, methodologies, progress, and challenges from around the world. With participants from over 25 countries spanning North and South Americas, Africa, Asia, and Europe, this event aims to foster global collaboration in lightning safety.

Figure 1. Daile showing the RedditAMA info at ESSIC/CISESS

Zhang Holds Reddit “Ask Me Anything” for Lightning Safety Awareness Week

July 10, 2024

ESSIC/CISESS scientist, Daile Zhang, held a live Reddit “Ask Me Anything” (AMA) event for the Lightning Safety Awareness Week on June 24, 2024. The event was hosted by the UMD’s College of Computer, Mathematical, and Natural Sciences.

Mapping Ocean Acidification From 1998-2022

July 10, 2024

ESSIC scientists Li-Qing Jiang, Paige Lavin, and Hyelim Yoo are a part of a team of scientists that have developed detailed maps that track ocean acidification indicators from 1998 to 2022 for eleven large marine ecosystems (LMEs) in the U.S. The study was just published in Nature – Scientific Data for this work.

Figure 1. LPSs installation at the St. Victor Mulabana Primary School. PHOTO: Daile Zhang

Zhang Visits Uganda to Help with Installation of Lightning Protection Systems

July 3, 2024

ESSIC/CISESS scientist, Daile Zhang, who also serves as a Board of Directors of an NGO – African Centres for Lightning and Electromagnetics Network (ACLENet) visited Uganda last week. She and the team helped install lightning protection systems (LPSs) at the St. Victor Mulabana Primary School in Kalangala district, an Island on the Lake Victoria. Uganda experiences more than two million lightning strikes per year. The installation will protect 400+ students, teachers, and the nearby community from these lightning strikes.

Figure 1. Biases of accumulated precipitation (mm) relative to the MRMS ground-based analysis of the five machine learning models studied during the period of 1 May to 30 September, 2022. Biases of the operational MiRS algorithm are also shown in the bottom right panel.

Using Machine Learning to Improve Microwave-Based Precipitation Estimates

May 31, 2024

ESSIC/CISESS scientist Chris Grassotti along with CIRA and NOAA researchers Shuyan Liu and Quanhua (Mark) Liu, recently published a paper in the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing titled “Warm-Season Microwave Integrated Retrieval System (MiRS) Precipitation Improvement Using Machine Learning Methods”.

Machine Learning-Based Estimation of Tropical Cyclone Intensity from Advanced Technology Microwave Sounder Using a U-Net Algorithm

February 20, 2024

ESSIC/CISESS scientists Yong-Keun Lee and Christopher Grassotti are co-authors on a new paper in Remote Sensing led by first author Zichao Liang, a student who interned with the MiRS team during the summer of 2023. NOAA scientists Lin Lin and Quanhua Liu also co-authored the paper. The paper, titled “Machine Learning-Based Estimation of Tropical Cyclone Intensity from Advanced Technology Microwave Sounder Using a U-Net Algorithm”, assesses the use of the U-Net model to estimate surface wind speed and surface pressure over pure ocean conditions.

Figure: Field experiments with the RHG-BRDF system over grass, soil and sand scenes and its calibration with a reflectance reference board.

CISESS Seed Grant Project Develops a Robotic RHG-BRDF Measurement System

February 19, 2024

During its one-year funding period, this CISESS Seed Grant project expanded the work of the student-oriented CISESS Remote Sensing Laboratory by building equipment for post-launch radiometric validation using in situ measurements of reflective solar band calibration. ESSIC/CISESS Scientist Xi Shao, along with Sirish Uprety, Tung-Chang Liu, and Xin Jin, developed a Robotic Hyperspectral Ground Bi-directional Reflectance Distribution Function (RHG-BRDF) measurement system. Once built, they worked with three undergraduate students to perform field hyperspectral measurements of different ground targets. The student also developed python modules for converting measurements to hyperseptral reflectance, data visualization and analysis.

Figure 1. The local perturbations in observed microwave brightness temperatures from an ascending orbit of (a) MetOp-B AMSU-A channel 14, (b) MetOp-C AMSU-A channel 14, a descending orbit of (c) NOAA-20 ATMS channel 15, and (d) SNPP ATMS channel 15 on January 15, 2022. The black triangle at the center for each panel is the Tonga volcano location. The outermost black-curved lines from the Tonga volcano location correspond to a phase speed of 330 m/s assuming that the perturbation has been generated at the time and location of initial volcanic eruption. From the 2nd outermost black-curved lines to the innermost lines, the phase speeds are 300, 270, and 230 m/s, respectively. The time information in each panel indicates the approximate observation time for the Lamb wave (between 300 m/s and 330 m/s indicated by black right-pointing triangles) and for the lead gravity wave (between 230 m/s and 270 m/s indicated by red right-pointing triangles). Red dots indicate the pixels where the brightness temperature perturbation is larger than 1.2 K.

Satellite Microwave Observations of the Hunga Tonga Eruption’s Atmospheric Waves

December 20, 2023

ESSIC/CISESS scientists Yong-Keun Lee and Christopher Grassotti are authors on a new paper in Geophysical Research Letters describing the first attempt to perform a detailed analysis of the stratospheric impact of the eruption from satellite microwave observations. The other authors on the paper are Neil Hindley from University of Bath and Quanhua (Mark) Liu from NOAA’s Center for Satellite Applications and Research.

Zhang Presents Her New Book at the CTR Wilson Meeting

December 13, 2023

ESSIC/CISESS scientist Daile Zhang and her coauthor Ron Holle virtually presented their new
book–Flashes of Brilliance: The Science and Wonder of Arizona Lightning –at the CTR Wilson
meeting on November 16, 2023. They discussed the motivation of writing the book and
introduced the content of each chapter. The audiences were interested in creating
undergraduate level courses and materials based on the book.

The Lightning Team at the Spooky Science Expo. Left to right: Damian Joseph Figueroa, Guangyang Fang, Ashmita Pyne, Daile Zhang, and Joseph Patton

Lightning Team Outreach Event at the 8th Spooky Science Expo

October 27, 2023

The ESSIC/CISESS Lightning Team – Guangyang Fang, Joseph Patton, Daile Zhang, and two students Damian Joseph Figueroa and Ashmita Pyne – went to celebrate the 8th Spooky Science Expo in Alexandria, VA. This was the first time CISESS/ESSIC scientists participated in this event.

Tag: Satellite Calibration and Validation

Zhang Organized the 2024 International Lightning Safety Day Event

Zhang Holds Reddit “Ask Me Anything” for Lightning Safety Awareness Week

Mapping Ocean Acidification From 1998-2022

Zhang Visits Uganda to Help with Installation of Lightning Protection Systems

Using Machine Learning to Improve Microwave-Based Precipitation Estimates

Machine Learning-Based Estimation of Tropical Cyclone Intensity from Advanced Technology Microwave Sounder Using a U-Net Algorithm

CISESS Seed Grant Project Develops a Robotic RHG-BRDF Measurement System

Satellite Microwave Observations of the Hunga Tonga Eruption’s Atmospheric Waves

Zhang Presents Her New Book at the CTR Wilson Meeting

Lightning Team Outreach Event at the 8th Spooky Science Expo

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