[HTML][HTML] Constructing a multifrequency passive microwave hail retrieval and climatology in the GPM domain
Constructing a Multifrequency Passive Microwave Hail Retrieval and Climatology in the GPM
Domain in: Journal of Applied Meteorology and Climatology Volume 58 Issue 9 (2019) Jump to …
Domain in: Journal of Applied Meteorology and Climatology Volume 58 Issue 9 (2019) Jump to …
PAMTRA 1.0: the Passive and Active Microwave radiative TRAnsfer tool for simulating radiometer and radar measurements of the cloudy atmosphere
Forward models are a key tool to generate synthetic observations given knowledge of the
atmospheric state. In this way, they are an integral part of inversion algorithms that aim to …
atmospheric state. In this way, they are an integral part of inversion algorithms that aim to …
Comparative assessment of snowfall retrieval from microwave humidity sounders using machine learning methods
Accurate quantification of snowfall rate from space is important but has remained difficult.
Four years (2007–2010) of NOAA‐18 Microwave Humidity Sounder (MHS) data are trained …
Four years (2007–2010) of NOAA‐18 Microwave Humidity Sounder (MHS) data are trained …
An evaluation of microwave land surface emissivities over the continental United States to benefit GPM-era precipitation algorithms
RR Ferraro, CD Peters-Lidard… - … on Geoscience and …, 2012 - ieeexplore.ieee.org
Passive microwave (PMW) satellite-based precipitation over land algorithms rely on physical
models to define the most appropriate channel combinations to use in the retrieval, yet …
models to define the most appropriate channel combinations to use in the retrieval, yet …
HAMP–the microwave package on the High Altitude and LOng range research aircraft (HALO)
An advanced package of microwave remote sensing instrumentation has been developed
for the operation on the new German High Altitude LOng range research aircraft (HALO) …
for the operation on the new German High Altitude LOng range research aircraft (HALO) …
[HTML][HTML] Quantifying the snowfall detection performance of the GPM Microwave Imager channels over land
Y You, NY Wang, R Ferraro… - Journal of …, 2017 - journals.ametsoc.org
Quantifying the Snowfall Detection Performance of the GPM Microwave Imager Channels
over Land in: Journal of Hydrometeorology Volume 18 Issue 3 (2017) Jump to Content …
over Land in: Journal of Hydrometeorology Volume 18 Issue 3 (2017) Jump to Content …
CloudSat-based assessment of GPM Microwave Imager snowfall observation capabilities
The sensitivity of Global Precipitation Measurement (GPM) Microwave Imager (GMI) high-
frequency channels to snowfall at higher latitudes (around 60° N/S) is investigated using …
frequency channels to snowfall at higher latitudes (around 60° N/S) is investigated using …
[HTML][HTML] Arctic Weather Satellite Sensitivity to Supercooled Liquid Water in Snowfall Conditions
The aim of this study is to highlight the issue of missed supercooled liquid water (SLW)
detection in the current radar/lidar derived products and to investigate the potential of the …
detection in the current radar/lidar derived products and to investigate the potential of the …
Detecting snowfall over land by satellite high‐frequency microwave observations: The lack of scattering signature and a statistical approach
G Liu, EK Seo - Journal of geophysical research: atmospheres, 2013 - Wiley Online Library
It has been long believed that the dominant microwave signature of snowfall over land is the
brightness temperature decrease caused by ice scattering. However, our analysis of …
brightness temperature decrease caused by ice scattering. However, our analysis of …
The Passive microwave Neural network Precipitation Retrieval (PNPR) algorithm for AMSU/MHS observations: description and application to European case studies
The purpose of this study is to describe a new algorithm based on a neural network
approach (Passive microwave Neural network Precipitation Retrieval–PNPR) for …
approach (Passive microwave Neural network Precipitation Retrieval–PNPR) for …