I study how human activities impact the ocean and the Earth's climate system. I use machine learning to analyze global feeds of satellite data and reveal environmental patterns of change. I am a strong advocate of open source and open data!
xView3 machine learning challenge
Fighting illegal, unreported, and unregulated fishing with machine learning.
Many vessels engaged in IUU fishing and other criminal activity turn off their automatic identification system to evade detection. The xView3 Challenge is a global call for skilled developers to submit machine learning algorithms capable of automatically detecting and characterizing these "dark vessels" in synthetic aperture radar (SAR) satellite imagery. We have developed the largest publicly available SAR dataset for training machine learning models.
Checkout the challenge
Ice sheet mass change
Integration of 16+ years of satellite laser altimetry measurements over Antarctica and Greenland.
State-of-the-art ice-sheet surface elevation change for Antarctica and Greenland since 2003, estimated from two NASA satellite laser altimetry missions (ICESat, 2003-2009; and ICESat-2, 2018-present). These very precise laser measurements allows us to study decadal and multi-decadal trends at unprecedented spatial resolution; providing an invaluable dataset for advancing ice-sheet data assimilation efforts into climate models and for disentangling the causal mechanisms responsible for ice-sheet mass change and consequent sea-level rise.
Checkout our paper in Science
NASA MEaSUREs Inter-mission Time Series of Land Ice Velocity and Elevation (ITS_LIVE).
We will accelerate ice sheet and glacier change research by producing a globally-comprehensive and temporally dense multi-sensor record of land ice and ice shelf velocity and elevation, updated in near-real time as new data become available. Such a record is not presently available to the community, slowing scientific discovery from these information-rich data streams.
Checkout the project
Ice shelf dynamics
Instantaneous Antarctic ice sheet mass loss driven by thinning ice shelves.
Confined ice shelves restrain the flow of upstream ice streams and glaciers. Thinning of ice shelves increases the longitudinal stress and with it the spreading rate at the grounding line (GL). This effect transmits some distance upstream, and the net results is an increase in ice flux across the GL. (a) Ice shelf thickness (H) and ice flow prior to onset of ice shelf thinning. (b) Onset of ice shelf thinning (thickness loss in red) reduces buttressing and increases both longitudinal spreading and ice flux across the GL, speeding up glacier discharge into the ocean.
Checkout our paper in GRL
CAP-Toolkit Software Package
JPL Cryosphere Altimetry Processing Toolkit (a Python package).
Set of Python tools for processing and integrating multi-satellite and airborne altimetry data. Authors: F. Paolo (Lead developer), J. Nilsson and A. Gardner.
Checkout the project
NASA's Ice, Cloud and Elevation Satellite 2.
The ICESat-2 will measure the height of a changing Earth, one laser pulse at a time, 10,000 laser pulses a second. Launched September 15, 2018, ICESat-2 carries a photon-counting laser altimeter that will allow scientists to measure the elevation of ice sheets, glaciers, sea ice and more - all in unprecedented detail.
Our planet's frozen and icy areas, called the cryosphere, are a key focus of NASA's Earth science research. ICESat-2 will help scientists investigate why, and how much, our cryosphere is changing in a warming climate. The satellite will also measure heights across Earth's temperate and tropical regions, and take stock of the vegetation in forests worldwide.
JPL ECCO project
Estimating the Circulation and Climate of the Ocean (ECCO).
The ECCO consortium is directed at making the best possible estimates of ocean circulation and its role in climate. Solutions are obtained by combining state-of-the-art ocean circulation models with nearly complete global ocean data sets in a physically and statistically consistent manner. Products are being utilized to understanding ocean variability, biological cycles, coastal physics, and geodesy, and are available for general applications.
Ice and climate variability
Investigating how the Antarctic ice shelves respond to climate variability such as El Niño/Southern Oscillation.
Relative influence of ENSO along the Antarctic Pacific margin. (a) Regional variation of the similarity index (size and color of squares) between ice-shelf height-anomaly records and the time-integrated Oceanic Niño Index (ONI). (b) 12-month running integral of ONI (that is, ENSO) lagged by ~6 months (top plot) and 12-month running means of ice-shelf height anomalies for the combined Amundsen (AMU) ice shelves and six individual ice shelves; the shaded area highlights the large height change resulting from the 1997–2001 El Niño-to-La Niña transition.
Checkout our paper in Nature Geoscience
ICESat and CryoSat-2 studies
Multi-sensor analyses of Antarctic ice shelf response to climate variability.
Developing a detailed history of Antarctic ice-shelf mass and stress changes on seasonal-to-interannual time scales and small spatial scales; improve our understanding of the environmental processes that cause these changes; and assess whether proxies for variability of the ice-shelf mass budget can be obtained from coarse-grid global climate models (GCMs). Our main data sources for this study are: ICESat laser altimeter data (2003-2009); Operation IceBridge (OIB) airborne laser altimeter and radio echo sounding (RES) ice thickness data (2009-present); CryoSat-2 radar altimeter (RA) data (2010-present); and European Space Agency (ESA) RA satellites ERS-1, ERS-2 and Envisat (1992-2012).
Multi-satellite Data Fusion
Constructing long-term continuous time series of ice-shelf height change from multiple satellite altimeters.
Representation of our multi-referenced time series approach. (Left) individual time series of cumulative change. (Right) diagram representing the matrix formed with the time series on the left (one time series per row). From top to bottom is depicted the process of forming single-grid-cell frequency-average time series.
Checkout our paper in Remote Sens. Environ.
Geophysical Data Analysis
Large-scale analysis and statistical modeling applied to Earth observations.
Estimated radar extinction coefficient (ke) over the Antarctic Ice Sheet. Values of ke shown are the averages from all ERS-1 Phase C (May 1992 to December 1993) ocean-mode waveforms acquired over the ice sheet, derived using a surface/volume retracking algorithm (Davis & Moore, 1993). Note that ke (which is inversely related to the penetration depth) is generally higher over the ice shelves than on the interior plateau.
Checkout my PhD Dissertation
Ice shelf volume change
Multi-mission satellite altimetry to investigate long-term trends and variability in Antarctic ice-shelf thickness.
Eighteen years of changes in the Antarctic ice shelves. Color map is rate of thickness change, circles are percentage thickness gained or lost, time series are mean ice-volume change over 18 years. There is considerable variability in the height-change signal, and trends on short time intervals are not representative of the underlying decadal trends.
Check out our paper in Science
Gravity from satellites & ships
Satellite-derived sea surface gradients and shipborne gravimetry for an integrated marine gravity field.
Integrated gravity models constructed using sea surface gradients (slopes), derived from satellite altimetry (Geosat and ERS-1), and marine gravity data from ships along the Brazilian coast: (left) free-air gravity anomaly, (right) geoid height. Unlike spectral methods, a deterministic approach, the least squares collocation method, a stochastic approach, presents a lower content of high-frequency noise in the predicted gravity anomalies.
Checkout our paper in J. of Geodynamics