137 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Pennsylvania State UniversityUS3 papers
- University of ReadingGB3 papers
- California Institute of TechnologyUS2 papers
- Astronomical Institute of the Slovak Academy of SciencesSK1 paper
- California University of PennsylvaniaUS1 paper
- Center for Global HealthUS1 paper
- Center for Human GeneticsUS1 paper
- Central Institution for Meteorology and GeodynamicsAT1 paper
- Columbia UniversityUS1 paper
- Cornell UniversityUS1 paper
- Earth Island InstituteUS1 paper
- Escuela Superior Politecnica del LitoralEC1 paper
10 papers
Knobs and dials of retrieving JWST transmission spectra. II. Impacts of pipeline-level differences on retrieval posteriors
Simon Schleich, Sudeshna Boro Saikia, Quentin Changeat +3
Since the launch of JWST, observations of exoplanetary atmospheres have seen a revolution in data quality. Given that atmospheric parameter inferences depend heavily on the underly…
Forecast error growth: A dynamic-stochastic model
Eviatar Bach, Dan Crisan, Michael Ghil
There is a history of simple forecast error growth models designed to capture the key properties of error growth in operational numerical weather prediction (NWP) models. We propos…
Image-based retrieval of all-day cloud physical parameters for FY4A/AGRI and its application over the Tibetan Plateau
Zhijun Zhao, Feng Zhang, Wenwen Li +1
Satellite remote sensing serves as a crucial means to acquire cloud physical parameters. However, existing official cloud products derived from the advanced geostationary radiation…
Stationary Density Estimation of Itô Diffusions Using Deep Learning
Yiqi Gu, John Harlim, Senwei Liang +1
In this paper, we consider the density estimation problem associated with the stationary measure of ergodic Itô diffusions from a discrete-time series that approximate the solution…
Solving PDEs on Unknown Manifolds with Machine Learning
Senwei Liang, Shixiao W. Jiang, John Harlim +1
This paper proposes a mesh-free computational framework and machine learning theory for solving elliptic PDEs on unknown manifolds, identified with point clouds, based on diffusion…
Simulation of cloud drop collisions in ABC flow
Torsten Auerswald, Maarten H. P. Ambaum
Simulating the collision behaviour of cloud drops in a turbulent environment is numerically expensive. Because of the typical sizes of cloud drops, their motion is predominantly in…
Impact of large scale climate oscillation on drought in West Africa
Samuel T. Ogunjo, Ibiyinka A. Fuwape, Christiana F. Olusegun
Drought poses a significant threat to the delicate economies in subsaharan Africa. This study investigates the influence of large scale ocean oscillation on drought in West Africa.…
Dimension Splitting and a Long Time-Step Multi-Dimensional Scheme for Atmospheric Transport
Yumeng Chen, Hilary Weller, Stephen Pring +1
Dimensionally split advection schemes are attractive for atmospheric modelling due to their efficiency and accuracy in each spatial dimension. Accurate long time-steps can be achie…
Spatiotemporal clustering, climate periodicity, and social-ecological risk factors for dengue during an outbreak in Machala, Ecuador, in 2010
Anna M. Stewart Ibarra, Angel G. Munoz, Sadie J. Ryan +7
The objective of this study was to characterize the spatiotemporal dynamics and climatic and social-ecological risk factors associated with the largest dengue epidemic to date in M…
Maximum likelihood estimation of cloud height from multi-angle satellite imagery
E. Anderes, B. Yu, V. Jovanovic +4
We develop a new estimation technique for recovering depth-of-field from multiple stereo images. Depth-of-field is estimated by determining the shift in image location resulting fr…