Demo Data from EDBT 2026 / reviewers in the wild / expert
Mark DeMaria
dblp:121/8005
· DBLP profile ↗
3ranked-venue papers
0as first author
1since 2021 · last 2026
0000-0003-4746-4462ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 1 since 2021Artificial intelligence and machine learning · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Environmental and earth informatics · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Environmental and earth informatics › remote sensing
satellite remote sensing |
1.0 | 1 | 2026 | High Revisit-Rate Tropical Cyclone Observations From the NASA TROPICS Satellite Constellation Mission · Proc. IEEE 2026 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | High Revisit-Rate Tropical Cyclone Observations From the NASA TROPICS Satellite Constellation MissionabstractNew satellite constellations to provide high-resolution atmospheric observations from microwave (MW) sounders operating in low-Earth orbit are now coming online and are providing operationally useful data. The first of these missions, the NASA Time-Resolved Observations of Precipitation structure and storm Intensity with a Constellation of Smallsats (TROPICS) Earth Venture (EVI-3) mission, was successfully launched into orbit on May 7 and 25, 2023 (Eastern Daylight Time, two CubeSats in each of the two launches). TROPICS is now providing nearly all-weather observations of 3-D temperature and humidity, as well as cloud ice and precipitation horizontal structure, at high temporal resolution to conduct high-value science investigations of tropical cyclones (TCs). TROPICS is providing rapid-refresh MW measurements (median refresh rate of better than 60 min early in the mission with four functional CubeSats, and now approximately 70–90 min with three functional CubeSats) over the tropics that can be used to observe the thermodynamics of the troposphere and precipitation structure for storm systems at the mesoscale and synoptic scale over the entire storm lifecycle. Hundreds of high-resolution images of TCs have been captured thus far by the TROPICS mission, revealing the detailed structure of the eyewall and surrounding rain bands. The new 205-GHz channel in particular (together with a traditional channel near 92 GHz) is providing new information on the inner storm structure, and, coupled with the relatively frequent revisit and low downlink latency, is already informing TC analysis at operational centers. Here, we present an overview of the TROPICS mission after two years of successful science operations with a focus on the suite of geophysical (Level 2) products (atmospheric vertical temperature and moisture profiles, instantaneous surface rain rate, and TC intensity) and the science investigations that have been enabled by these new measurements. William J. Blackwell, Scott A. Braun, George R. Alvey, Robert Atlas, Ralf Bennartz, Jessica Braun, Kerri L. Cahoy, Ruiyao Chen, Galina Chirokova, Brittany Dahl, James Darlow, Mark DeMaria, Michael DiLiberto, Jason P. Dunion, Patrick Duran, Thomas J. Greenwald, Sarah Griffin, Zach Griffith, Derrick Herndon, Jeffrey D. Hawkins, Satya Kalluri, Chris Kidd, Min-Jeong Kim, Robert Vincent Leslie, Frank Marks, Toshi Matsui, Will McCarty, Adam B. Milstein, Glenn Perras, Michael L. Pieper, Robert Rogers, Christopher Velden, Yalei You, Nicholas Zorn |
Proc. IEEE | 12 |
| 2020 | PHURIE: hurricane intensity estimation from infrared satellite imagery using machine learning
Amina Asif, Muhammad Dawood, Bismillah Jan, Javaid Khurshid, Mark DeMaria, Fayyaz ul Amir Afsar Minhas |
Neural Comput. Appl. | 5 |
| 2012 | Ocean surface response to hurricanes observed by SARabstractIn this study, we analyze 83 synthetic aperture radar (SAR) images including 73 from RADARSAT-1 and 10 from ENVISAT that contain tropical cyclone eye information. We also obtain ancillary tropical cyclone intensity information from NOAA National Hurricane Center and Japan Meteorological Agency. Based on this information, we generate tropical cyclone morphology statistics. We found that majority of the hurricanes are in wavenumber 1 and 2 category. Marine atmospheric boundary layer rolls can also be extracted from SAR image. Xiaofeng Li 0001, Jun A. Zhang, Xiaofeng Yang 0002, William Pichel, Mark DeMaria, David G. Long |
IGARSS | 5 |