Confronting the challenge of modeling cloud and precipitation microphysics

H Morrison, M van Lier‐Walqui… - Journal of advances …, 2020 - Wiley Online Library
In the atmosphere, microphysics refers to the microscale processes that affect cloud and
precipitation particles and is a key linkage among the various components of Earth's …

Dual-polarization radar fingerprints of precipitation physics: A review

MR Kumjian, OP Prat, KJ Reimel, M van Lier-Walqui… - Remote Sensing, 2022 - mdpi.com
This article reviews how precipitation microphysics processes are observed in dual-
polarization radar observations. These so-called “fingerprints” of precipitation processes are …

The retrieval of drop size distribution parameters using a dual-polarimetric radar

GW Lee, V Bringi, M Thurai - Remote Sensing, 2023 - mdpi.com
The raindrop size distribution (DSD) is vital for applications such as quantitative precipitation
estimation, understanding microphysical processes, and validation/improvement of two …

[HTML][HTML] Storms producing large accumulations of small hail

MR Kumjian, ZJ Lebo, AM Ward - Journal of Applied …, 2019 - journals.ametsoc.org
Storms Producing Large Accumulations of Small Hail in: Journal of Applied Meteorology and
Climatology Volume 58 Issue 2 (2019) Jump to Content Jump to Main Navigation Logo Logo …

Radar-derived precipitation climatology for wind turbine blade leading edge erosion

F Letson, RJ Barthelmie, SC Pryor - Wind Energy Science, 2020 - wes.copernicus.org
Wind turbine blade leading edge erosion (LEE) is a potentially significant source of revenue
loss for wind farm operators. Thus, it is important to advance understanding of the underlying …

[HTML][HTML] A Bayesian approach for statistical–physical bulk parameterization of rain microphysics. Part I: Scheme description

H Morrison, M van Lier-Walqui… - Journal of the …, 2020 - journals.ametsoc.org
Berner, J., KR Fossell, S.-Y. Ha, JP Hacker, and C. Snyder, 2015: Increasing the skill of
probabilistic forecasts: Understanding performance improvements from model-error …

Measurements and modeling of the full rain drop size distribution

M Thurai, V Bringi, PN Gatlin, WA Petersen, MT Wingo - Atmosphere, 2019 - mdpi.com
The raindrop size distribution (DSD) is fundamental for quantitative precipitation estimation
(QPE) and in numerical modeling of microphysical processes. Conventional disdrometers …

[HTML][HTML] Evaluation of K DP Estimation Algorithm Performance in Rain Using a Known-Truth Framework

KJ Reimel, M Kumjian - Journal of Atmospheric and Oceanic …, 2021 - journals.ametsoc.org
Accurate estimation of specific differential phase (K DP) is necessary for rain rate estimation,
attenuation correction, and hydrometeor classification algorithms. There are numerous …

An Efficient Bayesian Approach to Learning Droplet Collision Kernels: Proof of Concept Using “Cloudy,” a New n‐Moment Bulk Microphysics Scheme

M Bieli, ORA Dunbar, EK De Jong… - Journal of Advances …, 2022 - Wiley Online Library
The small‐scale microphysical processes governing the formation of precipitation particles
cannot be resolved explicitly by cloud resolving and climate models. Instead, they are …

The extreme precipitation events of August 2018 and 2019 over southern Western Ghats, India: A microphysical analysis using in-situ measurements

RK Sumesh, EA Resmi, CK Unnikrishnan, D Jash… - Atmospheric …, 2022 - Elsevier
The extreme rainfall events observed at the High-Altitude Cloud Physics Observatory
(HACPO) in Rajamallay, Munnar (10° 9′ 19.94 ″N, 77° 1′ 6.65 ″E; 1820 m above MSL) …