未登录

H

Hyemi Kim

Stony Brook University

H指数:42

被引数:5,773

个人简介

暂无内容

教育背景

暂无内容

工作经历

暂无内容

荣誉奖项

暂无内容

Sensitivity of Arctic sea ice recovery to stratospheric aerosol injection latitude

北极海冰恢复对平流层气溶胶注入纬度的敏感性

npj Climate and Atmospheric Science

IF8.4

2025-12-300

OAAI

Is the Observational Record since the Satellite Era Sufficient to Estimate the MJO Impact on Subseasonal Precipitation Prediction Skill over the CONUS?

自卫星时代以来的观测记录是否足以估计MJO对CONUS次季节尺度降水预测技巧的影响？

MONTHLY WEATHER REVIEW

IF3

2025-12-010

PRE

A Python diagnostics package for evaluation of Madden-Julian Oscillation (MJO) teleconnections in subseasonal-to-seasonal (S2S) forecast systems

GEOSCIENTIFIC MODEL DEVELOPMENT

IF4.9

2025-10-280

OA

The potential impacts of improved MJO prediction on the prediction of MJO teleconnections in the UFS global fully coupled model

改进MJO预测对UFS全球完全耦合模型中MJO遥相关预测的潜在影响

Climate Dynamics

IF3.7

2025-08-110

OA

Future MJO Change and Its Impact on Extreme Precipitation and Temperature Over the Western US in CMIP6

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES

IF3.4

2025-03-160

OA

Volcanically forced Madden-Julian oscillation triggers the immediate onset of El Niño

火山强迫的Madden-Julian振荡触发了厄尔尼诺的即时发生

NATURE COMMUNICATIONS

IF15.7

2025-02-060

OA

The impact of vertical model levels on the prediction of MJO teleconnections. Part II: The stratospheric pathway in the UFS global coupled model

CLIMATE DYNAMICS

IF3.7

2024-12-130

OA

The impact of vertical model levels on the prediction of MJO teleconnections: Part I-The tropospheric pathways in the UFS global coupled model

CLIMATE DYNAMICS

IF3.7

2024-08-281

PRE

Improving the Predictability of the US Seasonal Surface Temperature With Convolutional Neural Networks Trained on CESM2 LENS

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES

IF3.4

2024-08-080

OA

Author Correction: Incorrect computation of Madden-Julian oscillation prediction skill (vol 7, 134, 2024)

NPJ CLIMATE AND ATMOSPHERIC SCIENCE

IF8.4

2024-07-040

OA

Incorrect computation of Madden-Julian oscillation prediction skill

NPJ CLIMATE AND ATMOSPHERIC SCIENCE

IF8.4

2024-06-171

OA

Deep learning reveals moisture as the primary predictability source of MJO

NPJ CLIMATE AND ATMOSPHERIC SCIENCE

IF8.4

2024-01-084

OA

MJO Influence on Subseasonal-to-Seasonal Prediction in the Northern Hemisphere Extratropics

JOURNAL OF CLIMATE

IF4

2023-11-155

OA

The Idealized Aquaplanet Maritime Continent Barrier Effect on the MJO Predictability

JOURNAL OF CLIMATE

IF4

2023-09-011

OA

The Lack of a QBO-MJO Connection in Climate Models With a Nudged Stratosphere

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES

IF3.4

2023-08-313

OA

Subseasonal Tropical Cyclone Prediction and Modulations by MJO and ENSO in CESM2

CESM2中MJO和恩索的亚季热带气旋预测和调制

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES

IF3.4

2022-11-247

OA

Tropical modulation of East Asia air pollution (vol 13, 5580, 2022)

NATURE COMMUNICATIONS

IF15.7

2022-10-311

OAAI

Subseasonal forecasts provide a powerful tool for dynamic marine mammal management

FRONTIERS IN ECOLOGY AND THE ENVIRONMENT

IF7.6

2022-10-056

OAAI

Tropical modulation of East Asia air pollution

NATURE COMMUNICATIONS

IF15.7

2022-09-2311

OAAI

Advances in the Prediction of MJO Teleconnections in the S2S Forecast Systems

BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

IF5.9

2022-06-0137

OA