Zobrazeno 1 - 10
of 292
pro vyhledávání: '"Juanzhen Sun"'
Autor:
Soyoung Ha, Juanzhen Sun
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 15, Pp n/a-n/a (2024)
Abstract The impact of land variables on temperature forecasts in atmospheric cycling is often underestimated or overlooked. This oversight primarily occurs due to the abundance of meteorological measurements available for assimilation and partly bec
Externí odkaz:
https://doaj.org/article/e5261d809e674492bbb700873f5af3f4
Autor:
Majumdar, Sharanya J.1 smajumdar@rsmas.miami.edu, Juanzhen Sun2, Golding, Brian3, Joe, Paul4, Dudhia, Jimy2, Caumont, Olivier5, Gouda, Krushna Chandra6, Steinle, Peter7, Vincendon, Béatrice8, Jianjie Wang9, Yussouf, Nusrat10
Publikováno v:
Bulletin of the American Meteorological Society. Mar2021, Vol. 102 Issue 3, pE635-E659. 25p.
Publikováno v:
Monthly Weather Review. 151:485-507
The New York State Mesonet (NYSM) has provided continuous in situ and remote sensing observations near the surface and within the lower troposphere since 2017. The dense observing network can capture the evolution of mesoscale motions with high tempo
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 12, Iss 3, Pp n/a-n/a (2020)
Abstract Several blending methods have been developed in dynamic downscaling and rapid cycled data assimilation. Blending the large‐scale part of the global model (GM) analysis or forecast has led to improvement in regional model (RM) simulations.
Externí odkaz:
https://doaj.org/article/18685860f2554457815efde47823d30d
Publikováno v:
Monthly Weather Review. 150:2675-2696
Hailstones have large damage potential; however, their explicit prediction remains quite challenging. The uncertainty in a model’s initial condition and microphysics are two of the significant contributors to the challenge. This two-part study aims
Autor:
Yuyao Cao, Qinghong Zhang, Juanzhen Sun, Rumeng Li, Yaohai Huang, Jing Zhuang, Jun Xu, Yun Chen
Publikováno v:
Weather, Climate, and Society. 14:813-822
Understanding when weather information is required by the public is essential for evaluating and improving user-oriented weather services. Because of the popularity of smartphones, most people can easily access weather information via smartphone appl
Publikováno v:
Monthly Weather Review.
The purpose of this study is to diagnose mesoscale factors responsible for the formation and development of an extreme rainstorm that occurred on 20 July 2021 in Zhengzhou, China. The rainstorm produced 201.9 mm rainfall in one hour, breaking the rec
Publikováno v:
Monthly Weather Review.
This study presents a multiscale four-dimensional variational data assimilation (MS-4DVar) scheme that aims to assimilate multiscale information from conventional and radar observations. The MS-4DVar scheme separately assimilates conventional and rad
Publikováno v:
Journal of Geophysical Research: Atmospheres. 128
Publikováno v:
Remote Sensing, Vol 13, Iss 9, p 1746 (2021)
This study investigates the characteristics of space-borne Lightning Mapping Imager (LMI) lightning products and their relationships with cloud properties using ground-based total lightning observations from the Beijing Broadband Lightning Network (B
Externí odkaz:
https://doaj.org/article/5406d9461ff644b497f4eb104d021e03