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Aditya Khuller

Senior Research Scientist

Email

akhuller@uw.edu

Phone

206-897-1623

Research Interests

Planetary Ices, Surface Processes, Surface–Atmosphere Processes, Radiative Transfer, Turbulence in the Atmospheric Boundary Layer, Spectroscopy, Thermophysics, Gullies, Aeolian Geomorphology, Climate evolution, Volcanism, Electric Propulsion, Remote Sensing Instrument Development

Biosketch

Dr. Khuller's research interests include studying planetary ices, surface processes and atmospheres using a combination of numerical modeling, remote sensing data (Visible/Near-infrared, Thermal Infrared, Radar, and Microwave wavelengths) and geological mapping.

Before joining APL-UW in late 2024, he was a postdoctoral researcher at the Jet Propulsion Laboratory, where he gained experience with NASA flight hardware development and testing for thermal infrared instruments, CubeSat electric propulsion, and mission operations software.

Department Affiliation

Polar Science Center

Education

B.S.E. Aerospace Engineering, Arizona State University, 2019

M.S. Geological Sciences, Arizona State University, 2021

Ph.D. Geological Sciences, Arizona State University, 2023

Publications

2000-present and while at APL-UW

Quantitative evaluation of the delta-Eddington, Hapke, and Shkuratov models for predicting the albedo and inferring the grain radius of ice

Khuller, A.R., and E. Emran, "Quantitative evaluation of the delta-Eddington, Hapke, and Shkuratov models for predicting the albedo and inferring the grain radius of ice," Icarus, 441, doi:10.1016/j.icarus.2025.116671, 2025.

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1 Nov 2025

Determining the physical properties of ices across the solar system is essential for understanding the surface dynamics, volatile transport, and climate evolution on ice-covered planetary bodies. Here, we use well-constrained measurements of snow that has metamorphosed into coarse-grained firn and bubbly glacier ice in East Antarctica to test three commonly-used radiative transfer models: delta-Eddington, Hapke, and Shkuratov. Using the measured optical properties, we find that the delta-Eddington model generally shows the least deviation from the measured albedo, followed by the Shkuratov and Hapke models, respectively. But when the models are used to infer the grain radius using the measured albedo, the Shkuratov model provides closer best-fit grain radii (off by average factor 0.9) than delta-Eddington (0.6), and Hapke (1.8). Despite this, the spectral albedos estimated by the Shkuratov and Hapke models using their respective best-fit grain radii deviate more from the measurements than delta-Eddington. This result is caused by the Hapke and Shkuratov models not accounting for: (1) the increased absorption within dense ice, and (2) specular reflection at the surface of firn and ice. Additionally, all three models do not account for the nonsphericity of bubbles within ice. The combination of these factors leads to model errors generally increasing with increasing grain radius. Based on our quantitative comparison, we recommend using the delta-Eddington model for predicting the albedo and inferring the grain radius of ices across the solar system because it generally produces the least error while using realistic physical parameters.

Widespread pseudo-perennial water ice patches at high northern latitudes on Mars

Dundas, C.M., M.T. Mellon, A.R. Khuller, and V.G. Rangarajan, "Widespread pseudo-perennial water ice patches at high northern latitudes on Mars," Icarus, EOR, doi:, 2025.

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4 Jun 2025

The distribution and stability state of Martian water ice deposits are of great interest for understanding recent climate history. Perennial surface ice deposits are rare, but in many regions ice occurs in the subsurface. We observe that summertime meter-scale bright patches are widespread on the plains around the North Polar Layered Deposits. These patches can persist long after disappearance of most seasonal frost but are variable both spatially and year-to-year. These are interpreted as persistent water frost under conditions very near those for perennial surface ice stability. Near this stability point, summer sublimation amounts should be very sensitive to small differences in albedo and thermal inertia, allowing significant variation in the survival time of the patches. Conditions favorable for such pseudo-perennial surface ice are also favorable for current or recent subsurface accumulation. This suggests that the north polar region may be a depositional sink for unstable ice inferred to be receding elsewhere on the planet.

Satellite-aided disaster response

Rolla, J., A. Khuller, K. An, R. Emberson, E. Fielding, L. Schultz, and K. Miner, "Satellite-aided disaster response," AGU Adv., 6, doi:10.1029/2024AV001395, 2025.

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6 Feb 2025

The increasing frequency and severity of natural disasters, driven by climate change and anthropogenic activities, pose unprecedented challenges to emergency response agencies worldwide. Satellite remote sensing has become a critical tool for providing timely and accurate data to aid in disaster preparedness, response, and recovery. This Commentary explores the role of satellite remote sensing in managing climate-driven disasters, highlighting the use of technologies such as Synthetic Aperture Radar (SAR) for creating damage proxy maps. These maps are instrumental in assessing disaster impacts and guiding response efforts, as demonstrated by the 2023 Wildfires in Hawaii. Despite the promise of these tools, challenges remain, including the need for rapid data processing, automation in data pipelines, and robust international collaborations. The future missions composing the Earth System Observatory, including the upcoming NASA-ISRO SAR mission, represents a significant advancement with its global coverage and frequent, detailed measurements. This study emphasizes the importance of continued investment in advanced satellite technologies and international cooperation to enhance disaster response capabilities, ultimately building a more resilient global community.

More Publications

Acoustics Air-Sea Interaction & Remote Sensing Center for Environmental & Information Systems Center for Industrial & Medical Ultrasound Electronic & Photonic Systems Ocean Engineering Ocean Physics Polar Science Center
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