Tag: Satellite Calibration and Validation

Figure: Total transmittance from surface to satellite (black line). The red line is the accumulated CRTM radiance Jacobian to ozone profile. Symbol “c” is the position at 331 nm used to estimate surface reflectance. The symbol “o” are the two channels, that we propose, to estimate the surface reflectance. The surface reflectance for other channels is either interpolated or extrapolated from the two reflectance at 347.6 nm and 371.8 nm.

UV Surface Reflectance from OMPS Nadir Mapper (NM) Radiance—Simulation and Assimilation

ESSIC/CISESS scientists Christopher Grassotti and Xingming Liang are co-authors in a recently published study that documents the first ultraviolet radiance assimilation for atmospheric ozone in the troposphere and stratosphere. The paper, titled “Experimental OMPS Radiance Assimilation through One-Dimensional Variational Analysis for Total Column Ozone in the Atmosphere”, was published in Remote Sensing and includes co-authors from the NOAA/NESDIS Center for Satellite Applications and Research.

Read More »
Figure: Photo of Terrence (left) and Guangyang (right) working on the GPS cable. The lightning detector is on the left-hand side of the picture. The triangle-shaped antenna detects the VHF radiation produced by lightning strikes.

DCLMA Lightning Detection Antenna Repairs

This week, ESSIC/CISESS Scientists Joseph Patton and Guangyang Fang and Summer Intern Terrence Pierce visited one of our lightning detection stations on the campus of Howard University-Beltsville. The GPS antenna for the station had been giving them trouble, so they installed new connectors for the cable that connects the GPS antenna to the lightning detection computer, and that seems to have resolved the problem.

Read More »
Figure: This is a precipitation event on 29 August 2020 over the Pacific Ocean near the lower California peninsula. (a) the cross-track radiometer precipitation data, (b) the conical scanning radiometer precipitation data, (c) the reference data for the event, and (d) the “morphed” radiometer precipitation data. The box shows the area of improvement due to morphing.

Improving Satellite Precipitation Retrieval

ESSIC/CISESS Scientists Yalei You, John Xun Yang, and Jun Dong have a new article on using “morphing” to improve rain data from cross-track scanning radiometers. The paper, titled “Improving Cross-track Scanning Radiometers’ Precipitation Retrieval over Ocean by Morphing”, is in press at the Journal of Hydrometeorology.

Read More »
Acid Rain Scenes from Great Smoky Mountains National Park - Clingmans Dome

A Study of Two Impactful Heavy Rainfall Events

Several ESSIC/CISESS scientists including Malarvizhi Arulraj, Jifu Yin, Christopher Grassotti, Veljko Petkovic collaborated on a multi-author, two-part study led by Douglas Miller, Professor of Atmospheric Sciences at the University of North Carolina, Asheville.

Read More »
The book cover, which depicts a blue cityscape and the title, "Remote Sensing of Night-time Light"

Remote Sensing of Night-time Light

ESSIC/CISESS Scientists Xi Shao, Sirish Uprety and Wen-hui Wang are contributors to a new book, Remote Sensing of Night-time Light, to be released on August 10th. Their chapter is on the assessment of straylight correction performance for the JPSS Visible/Infrared Imager Radiometer Suite (VIIRS) day/night band using Dome-C and Greenland under lunar illumination. This book captures key methodological issues associated with pre-processing night-time light data, documents state of the art analysis methods, and explores a wide range of applications.

Read More »