Tag: Hydrology and Land Surface Processes

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

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.

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Bull Run flows into Occoquan Drinking water reservoir (Photo by Sujay Kaushal)

A New Way to Monitor Water Quality

A new study led by Earth System Science Interdisciplinary Center (ESSIC) scientist Sujay Kaushal introduces a new way to think about water quality monitoring along urban streams that could help researchers more accurately track pollutants across waterways.

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Daily examples for the refined AMSR-2

Improving Soil Moisture Retrieval with AMSR2

ESSIC/CISESS scientist Jifu Yin is the first author on a two-part series published in IEEE Transactions on Geoscience and Remote Sensing on refining the Advanced Microwave Scanning Radiometer 2 (AMSR2) soil moisture retrieval algorithm. The paper’s co-authors include ESSIC scientists Jicheng Liu, Huan Meng and Ralph Ferraro.

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