UMBC Joint Center for Earth Systems Technology (JCET)
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The Joint Center for Earth Systems Technology (JCET) was formed under a Cooperative agreement between the Earth Science Division of NASA Goddard Space Flight Center (GSFC) and the University of Maryland, Baltimore County (UMBC) in 1995. The JCET family consists of its business staff, students, research faculty, GSFC Sponsors, appointed fellows and affiliated tenured/tenure-track faculty. JCET is an innovative center where these scientists interact in a seamless fashion with the support of an efficient business and administrative unit.
Recent Submissions
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Air-LUSI: Supporting Advancement [STC1] of the Moon as a Reference for Earth Observations from Space Air-LUSI: Supporting Advancement of the Moon as a Reference for Earth Observations from Space
To monitor global environments from space, satellites must be calibrated accurately and consistently across time, missions and instruments. This requires the use of a stable, common reference that is continuously accessible ... -
The Response of the Amazon Ecosystem to the Photosynthetically Active Radiation Fields: Integrating Impacts of Biomass Burning Aerosol and Clouds in the NASA GEOS ESM
(EGU Publications, 2021-03-24)The Amazon experiences fires every year, and the resulting biomass burning aerosols, together with cloud particles, influence the penetration of sunlight through the atmosphere, increasing the ratio of diffuse to direct ... -
Analysis of Near-Cloud Changes in Atmospheric Aerosols Using Satellite Observations and Global Model Simulations
(MDPI, 2021-03-17)This paper examines cloud-related variations of atmospheric aerosols that occur in partly cloudy regions containing low-altitude clouds. The goal is to better understand aerosol behaviors and to help better represent the ... -
Convolutional LSTM for Planetary Boundary Layer Height (PBLH) Prediction
(AAAI, 2021-03-22)We describe new work that uses deep learning to learn temporal changes in Planetary Boundary Layer Height (PBLH). This work is performed in conjunction with a deep edge detection method that identifies edges in imagery ... -
Improving the Understanding of CrIS Full Spectral Resolution Nonlocal Thermodynamic Equilibrium Radiances Using Spectral Correlation
(AGU Pubication, 2020-07-25)In recent years, significant progress has been made in fast radiative transfer model (RTM) simulation of daytime nonlocal thermodynamic equilibrium (NLTE) emission. However, NLTE remains as one important reason that prevents ... -
A machine-learning-based cloud detection and thermodynamic-phase classification algorithm using passive spectral observations
(EGU Publications, 2020-05-11)We trained two Random Forest (RF) machine learning models for cloud mask and cloud thermodynamic-phase detection using spectral observations from Visible Infrared Imaging Radiometer Suite (VIIRS) on board Suomi National ... -
Towards a Mass-Consistent Methodology for Realistic Melting Hydrometeor Retrieval
(IEEE, 2021-02-17)To address the acute challenge posed by the melting layer to accurate surface precipitation retrievals from space, we ensure the compositional consistency in ice, liquid, and total masses of synthetic melting hydrometeors ... -
Melt Detection Over Greenland Using Smap Radiometer Observations
(IEEE, 2021-02-17)Microwave measurements have been previously used to detect melt events due to their sensitivity to the presence of liquid water in snow. Since NASA's SMAP mission offers a valuable set of low frequency radiometer measurements, ... -
NASA's Surface Biology and Geology Concept Study: Status and Next Steps
(IEEE, 2021-02-17)The National Academies Decadal Survey for Earth Science recommended that NASA pursue global imaging spectroscopy and thermal infrared measurements in the coming decade [1]. Both measurements would offer repeat coverage on ... -
Detecting Layer Height of Smoke and Dust Aerosols Over Vegetated Land and Water Surfaces via Oxygen Absorption Bands
(IEEE, 2021-02-17)We present an algorithm for retrieving aerosol layer height (ALH) and aerosol optical depth (AOD) for smoke and dust over vegetated land and water surfaces from measurements of the Earth Polychromatic Imaging Camera (EPIC) ... -
Efficient multi-angle polarimetric inversion of aerosols and ocean color powered by a deep neural network forward model
(Copernicus Publications, 2021-02-09)NASA's Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) mission, scheduled for launch in the timeframe of 2023, will carry a hyperspectral Ocean Color Instrument (OCI) and two Multi-Angle Polarimeters (MAP): the UMBC ... -
Atmospheric correction over the ocean for hyperspectral radiometers using multi-angle polarimetric retrievals
(OSA Publishing, 2021)We developed a fast and accurate polynomial based atmospheric correction (POLYAC) algorithm for hyperspectral radiometric measurements, which parameterizes the atmospheric path radiances using aerosol properties retrieved ... -
A Climate Hyperspectral Infrared Radiance Product (CHIRP) Combining the AIRS and CrIS Satellite Sounding Record
(MDPI, 2021-01-26)A Climate Hyperspectral Infrared Radiance Product (CHIRP) is introduced combining data from the Atmospheric Infrared Sounder (AIRS) on NASA’s EOS-AQUA platform, the Cross-Track Infrared Sounder (CrIS) sounder on NASA’s ... -
Contribution of the world's main dust source regions to the global cycle of desert dust
(Copernicus Publications, 2021-01-18)Even though desert dust is the most abundant aerosol by mass in Earth's atmosphere, the relative contributions of the world’s major dust source regions to the global dust cycle remain poorly constrained. This problem hinders ... -
Determining Planetary Boundary Layer Height by Micro-pulse Lidar with Validation by UAV Measurements
(Aerosol and Air Quality Research, 2020-12-31)Planetary boundary layer height (PBLH) is often used to characterize the structure of the lower atmosphere. Aerosol lidar, a ground-based remote sensing method, provides the vertical distribution of aerosol at a high ... -
AeroCom phase III multi-model evaluation of the aerosol life cycle and optical properties using ground- and space-based remote sensing as well as surface in situ observations
(Copernicus Publications, 2021-01-06)Within the framework of the AeroCom (Aerosol Comparisons between Observations and Models) initiative, the state-of-the-art modelling of aerosol optical properties is assessed from 14 global models participating in the phase ... -
Call to Action for Global Access to and Harmonization of Quality Information of Individual Earth Science Datasets
(OSF, 2020-12-15)Knowledge about the quality of data and metadata is important to support informed decisions on the (re)use of individual datasets and is an essential part of the ecosystem that supports open science. Quality assessments ... -
Large global variations in measured airborne metal concentrations driven by anthropogenic sources
(Nature, 2020-12-11)Globally consistent measurements of airborne metal concentrations in fine particulate matter (PM₂.₅) are important for understanding potential health impacts, prioritizing air pollution mitigation strategies, and enabling ... -
Machine Learning Based Algorithms for Global Dust Aerosol Detection From Satellite Images: Inter-Comparisons and Evaluation
(2020-12-08)Identifying dust aerosols from passive satellite images is of great interest for many applications. In this study, we developed 5 different machine-learning (ML) and deep-learning (DL) based algorithms, including Logistic ...
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