Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Marcus van Lier-Walqui"'
Autor:
Matthew R. Kumjian, Olivier P. Prat, Karly J. Reimel, Marcus van Lier-Walqui, Hughbert C. Morrison
Publikováno v:
Remote Sensing, Vol 14, Iss 15, p 3706 (2022)
This article reviews how precipitation microphysics processes are observed in dual-polarization radar observations. These so-called “fingerprints” of precipitation processes are observed as vertical gradients in radar observables. Fingerprints of
Externí odkaz:
https://doaj.org/article/ed6c73cfe8414bbcb7f350beb604a4ba
Autor:
Marcus van Lier-Walqui, Anders A. Jensen, Yao Sheng Chen, Jerry Y. Harrington, Matthew R. Kumjian, Robert S. Schrom
Publikováno v:
Journal of the Atmospheric Sciences. 78:549-569
The potential for polarimetric Doppler radar measurements to improve predictions of ice microphysical processes within an idealized model–observational framework is examined. In an effort to more rigorously constrain ice growth processes (e.g., vap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::212290987c2514cd21c371269899839e
https://doi.org/10.1175/jas-d-20-0134.1
https://doi.org/10.1175/jas-d-20-0134.1
Autor:
Matthew R. Kumjian, Matthias Morzfeld, Olivier P. Prat, Hugh Morrison, Marcus van Lier-Walqui, Spencer Lunderman, Karly J. Reimel
Publikováno v:
Journal of the Atmospheric Sciences, vol 77, iss 3
Observationally informed development of a new framework for bulk rain microphysics, the Bayesian Observationally Constrained Statistical–Physical Scheme (BOSS; described in Part I of this study), is demonstrated. This scheme’s development is moti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a836a8ce94f7425168644fb27247ceee
https://doi.org/10.1175/jas-d-19-0071.1
https://doi.org/10.1175/jas-d-19-0071.1
Publikováno v:
Journal of the Atmospheric Sciences. 77:1019-1041
A new framework is proposed for the bulk parameterization of rain microphysics: the Bayesian Observationally Constrained Statistical–Physical Scheme (BOSS). It is designed to facilitate direct constraint by observations using Bayesian inference. BO
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7366b3f616ebdfa2c81117cdf87c90d
https://doi.org/10.1175/jas-d-19-0070.1
https://doi.org/10.1175/jas-d-19-0070.1
Autor:
Olivier P. Prat, Hugh Morrison, Marcus van Lier-Walqui, Matthew R. Kumjian, Charlotte P. Martinkus
Publikováno v:
Journal of Applied Meteorology and Climatology. 58:247-267
A general drop size distribution (DSD) normalization method is formulated in terms of generalized power series relating any DSD moment to any number and combination of reference moments. This provides a consistent framework for comparing the variabil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b336970c8da556727aafa4019f6ee746
https://doi.org/10.1175/jamc-d-18-0060.1
https://doi.org/10.1175/jamc-d-18-0060.1
Autor:
Charlotte P. Martinkus, Marcus van Lier-Walqui, Olivier P. Prat, Hugh Morrison, Matthew R. Kumjian, Scott Collis
Publikováno v:
Journal of Applied Meteorology and Climatology. 58:113-130
There is growing interest in combining microphysical models and polarimetric radar observations to improve our understanding of storms and precipitation. Mapping model-predicted variables into the radar observational space necessitates a forward oper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a846b3cf524f67cfec714c0ea145d5f
https://doi.org/10.1175/jamc-d-18-0121.1
https://doi.org/10.1175/jamc-d-18-0121.1
Representing microphysics within weather and climate models is challenging because we lack fundamental understanding of microphysical processes and are limited by the computational inability to track each hydrometeor within a cloud system. Microphysi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91cf9d261f7c43b4de5920e9d79afd64
https://doi.org/10.5194/egusphere-egu21-12963
https://doi.org/10.5194/egusphere-egu21-12963
