Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Hsi-Yen MA"'
Autor:
Min-Seop Ahn, Paul A. Ullrich, Jiwoo Lee, Peter J. Gleckler, Hsi-Yen Ma, Christopher R. Terai, Peter A. Bogenschutz, Ana C. Ordonez
Publikováno v:
npj Climate and Atmospheric Science, Vol 7, Iss 1, Pp 1-9 (2024)
Abstract Bimodality in precipitation frequency distributions is often evident in atmospheric models, but rarely in observations. This study i) proposes a metric to objectively quantify the bimodality in precipitation distributions, ii) evaluates mode
Externí odkaz:
https://doaj.org/article/48cb5574c0b642c99c5cf89049a3ae2d
Autor:
Jingjing Tian, Yunyan Zhang, Stephen A. Klein, Christopher R. Terai, Peter M. Caldwell, Hassan Beydoun, Peter Bogenschutz, Hsi‐Yen Ma, Aaron S. Donahue
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 14, Pp n/a-n/a (2024)
Abstract This study assesses a 40‐day 3.25‐km global simulation of the Simple Cloud‐Resolving E3SM Model (SCREAMv0) using high‐resolution ground‐based observations from the Atmospheric Radiation Measurement (ARM) Green Ocean Amazon (GoAmazo
Externí odkaz:
https://doaj.org/article/a254aec4d3bc4ef788a67f21d9bc2f55
Publikováno v:
IEEE Access, Vol 11, Pp 9931-9941 (2023)
This paper presents the development of an electromagnetic (EM) tracking system that consists of a pyramid field generator (PFG) of five excitation coils and a sensing coil for location and orientation estimation. The system measures the induced elect
Externí odkaz:
https://doaj.org/article/dc88e9716c99486f865e33a40e9e77ba
Autor:
Baoxiang Pan, Gemma J. Anderson, André Goncalves, Donald D. Lucas, Céline J. W. Bonfils, Jiwoo Lee, Yang Tian, Hsi‐Yen Ma
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 13, Iss 10, Pp n/a-n/a (2021)
Abstract The fidelity of climate projections is often undermined by biases in climate models due to their simplification or misrepresentation of unresolved climate processes. While various bias correction methods have been developed to post‐process
Externí odkaz:
https://doaj.org/article/93a5b07236f5439aa698643b49c14688
Autor:
Shaocheng Xie, Yi‐Chi Wang, Wuyin Lin, Hsi‐Yen Ma, Qi Tang, Shuaiqi Tang, Xue Zheng, Jean‐Christophe Golaz, Guang J. Zhang, Minghua Zhang
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 11, Iss 7, Pp 2290-2310 (2019)
Abstract We revise the convective triggering function in Department of Energy's Energy Exascale Earth System Model (E3SM) Atmosphere Model version 1 (EAMv1) by introducing a dynamic constraint on the initiation of convection that emulates the collect
Externí odkaz:
https://doaj.org/article/c6d0ba8abe6e498a9b360eb70b48037d
Autor:
Yuying Zhang, Shaocheng Xie, Wuyin Lin, Stephen A. Klein, Mark Zelinka, Po‐Lun Ma, Philip J. Rasch, Yun Qian, Qi Tang, Hsi‐Yen Ma
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 11, Iss 5, Pp 1253-1268 (2019)
Abstract This study systematically evaluates clouds simulated by the Energy Exascale Earth System Model Atmosphere Model version 1 (EAMv1) against satellite cloud observations. Both low‐ (1°) and high‐ (0.25°) resolution EAMv1 configurations ge
Externí odkaz:
https://doaj.org/article/07324b10ba4c4929b9c29f2be826476b
Autor:
Meng Zhang, Shaocheng Xie, Xiaohong Liu, Wuyin Lin, Kai Zhang, Hsi‐Yen Ma, Xue Zheng, Yuying Zhang
Publikováno v:
Earth and Space Science, Vol 7, Iss 7, Pp n/a-n/a (2020)
Abstract Arctic mixed‐phase clouds simulated by the U.S. Department of Energy (DOE) Energy Exascale Earth System Model (E3SM) Atmosphere Model version 1 (EAMv1) are found to be overly dominated by supercooled liquid with little ice production. Sens
Externí odkaz:
https://doaj.org/article/27a8e88f867547bc899f830a9e4ec035
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 10, Iss 2, Pp 320-341 (2018)
Abstract Low clouds strongly impact the radiation budget of the climate system, but their simulation in most GCMs has remained a challenge, especially over the subtropical stratocumulus region. Assuming a Gaussian distribution for the subgrid‐scale
Externí odkaz:
https://doaj.org/article/2965dd0edfad4dae89130a9447045ca9
Assessment of the cloud liquid water from climate models and reanalysis using satellite observations
Publikováno v:
Terrestrial, Atmospheric and Oceanic Sciences, Vol 29, Iss 6, Pp 653-678 (2018)
We perform a model-observation comparison and report on the state-of-the-art cloud liquid water content (CLWC) and path (CLWP) outputs from the present-day global climate models (GCMs) simulations in CMIP3/CMIP5, two other GCMs (UCLA and GEOS5) and t
Externí odkaz:
https://doaj.org/article/c550e34037154e6493fb14f97b02ea28
