What can radars tell us about snowfall microphysics? Insights from a Markov chain Monte-Carlo approach

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Radar–rain‐gauge rainfall combination methods have been used extensively as meteorological applications. Such combinations are often achieved through geostatistical processes (kriging). In this work we use as a platform the system “CombiPrecip”, which is o ...

We present a simple and versatile approach to test the accuracy of scattering calculations. Based on the Lorentz reciprocity relation, this criterion can be used for any scattering object, especially where a reference solution (e.g. from Mie theory) does n ...

Studying precipitation falling over Antarctica is crucial as snowfall represents the main water input term for the polar cap. However, precipitation observations still remain scarce-and, more particularly, in the atmospheric column-due to numerous experime ...

This paper explores data assimilation methods in the context of Bayesian Calibration for fuel performance models. It compares deterministic and stochastic approaches, concentrating on the Generalized Linear Least Squares (GLLS) method and stochastic techni ...

A key challenge across many disciplines is to extract meaningful information from data which is often obscured by noise. These datasets are typically represented as large matrices. Given the current trend of ever-increasing data volumes, with datasets grow ...

A measurement is presented of the primary Lund jet plane (LJP) density in inclusive jet production in proton-proton collisions. The analysis uses 138 fb(-1) of data collected by the CMS experiment at root s = 13TeV. The LJP, a representation of the phase s ...

We are interested in testing properties of distributions with systematically mislabeled samples. Our goal is to make decisions about unknown probability distributions, using a sample that has been collected by a confused collector, such as a machine-learni ...

The spatial distribution of dwarf galaxies around their host galaxies is a critical test for the standard model of cosmology because it probes the dynamics of dark matter halos and is independent of the internal baryonic processes of galaxies. Comoving pla ...

What can radars tell us about snowfall microphysics? Insights from a Markov chain Monte-Carlo approach

Chat with Graph Search

Kriging‐variance‐based multi‐member ensembles of radar–rain‐gauge precipitation estimates: Application in Switzerland

Testing the accuracy and convergence of scattering calculations using Lorentz reciprocity

A 7-year record of vertical profiles of radar measurements and precipitation estimates at Dumont d'Urville, Adélie Land, East Antarctica

Comparison of Bayesian Model Calibration Techniques for Future Application to Fuel Performance Behavior Models

Spectral Estimators for High-Dimensional Matrix Inference

Measurement of the primary Lund jet plane density in proton-proton collisions at √s=13 TeV

Distribution Testing with a Confused Collector

The phase-space distribution of the M 81 satellite system