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Sung‐Ho Woo

Biographic Data

ID7956739
NAMESung‐Ho Woo
GIVEN NAMESSung‐Ho
FAMILY NAMEWoo
SIGNATUREWOO S H
AFFILIATIONSDongguk University
ORCID0009-0001-8552-2021
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Statistical seasonal prediction of Arctic sea ice concentration based on spatiotemporal anomaly persistent method

    Open Access•Gyu-Ri Lee, Sung‐Ho Woo et al.•ARTICLE•Environmental Research Letters•2024

    Accurate prediction of Arctic sea ice is crucial for high-latitude and even mid-latitude climate prediction. It significantly affects atmospheric circulation, the environment, ecology, and maritime transport. This study developed a statistical prediction model to predict monthly Arctic sea ice concentration for up to one year based on the season-reliant empirical orthogonal functions (SEOFs) technique. Its prediction skill was compared with that …

  • Dynamical-statistical method for seasonal forecasting of wintertime PM10 concentration in South Korea using multi-model ensemble climate forecasts

    Open Access•Jahyun Choi, Sung‐Ho Woo et al.•ARTICLE•Environmental Research Letters•2024

    Climate conditions and emissions are among the primary influences on seasonal variations in air quality. Consequently, skillful climate forecasts can greatly enhance the predictability of air quality seasonal forecasts. In this study, we propose a dynamical-statistical method for seasonal forecasting of particulate matter (PM 10 ) concentrations in South Korea in winter using climate forecasts from the Asian Pacific Climate Center (APCC) multi-mo…

  • A curtailed task for quantitative evaluation of visuomotor adaptation in the head-mounted display virtual reality environment

    Open Access•Huiyeong Chang, Sung‐Ho Woo et al.•ARTICLE•Frontiers in Psychiatry•2023

    To accurately perform a goal-directed movement in continuously changing environments, it is unavoidable for individuals to adapt accordingly. The cerebellum has been known to be responsible for such process, specifically adaptation using sensorimotor information. As shown in previous studies, using HMD-VR technology in an experimental setting has similar advantages as in the real-world environment: researchers can manipulate the experimental envi…

  • Changes in fire weather climatology under 1.5 °C and 2.0 °C warming

    Open Access•Rackhun Son, Hyungjun Kim et al.•ARTICLE•Environmental Research Letters•2021

    The 2015 Paris Agreement led to a number of studies that assessed the impact of the 1.5 °C and 2.0 °C increases in global temperature over preindustrial levels. However, those assessments have not actively investigated the impact of these levels of warming on fire weather. In view of a recent series of high-profile wildfire events worldwide, we access fire weather sensitivity based on a set of multi-model large ensemble climate simulations for th…

  • Impacts of the Arctic-midlatitude teleconnection on wintertime seasonal climate forecasts

    Open Access•Euihyun Jung, Jee‐Hoon Jeong et al.•ARTICLE•Environmental Research Letters•2020

    The impact of the Arctic on midlatitude weather and climate is still in scientific debate. The observation-based analysis, however, shows frequent concurrences of Arctic warming with extreme cold in the midlatitudes, and vice versa. This teleconnection could aid in seasonal climate forecasts for the midlatitudes. This study assessed the forecast skill of Arctic temperature and the Arctic-midlatitude teleconnection patterns in operational seasonal…

No prominent works on this page.

  • Impacts of the Arctic-midlatitude teleconnection on wintertime seasonal climate forecasts

    Open Access•Euihyun Jung, Jee‐Hoon Jeong et al.•ARTICLE•Environmental Research Letters•2020

    The impact of the Arctic on midlatitude weather and climate is still in scientific debate. The observation-based analysis, however, shows frequent concurrences of Arctic warming with extreme cold in the midlatitudes, and vice versa. This teleconnection could aid in seasonal climate forecasts for the midlatitudes. This study assessed the forecast skill of Arctic temperature and the Arctic-midlatitude teleconnection patterns in operational seasonal…

  • Changes in fire weather climatology under 1.5 °C and 2.0 °C warming

    Open Access•Rackhun Son, Hyungjun Kim et al.•ARTICLE•Environmental Research Letters•2021

    The 2015 Paris Agreement led to a number of studies that assessed the impact of the 1.5 °C and 2.0 °C increases in global temperature over preindustrial levels. However, those assessments have not actively investigated the impact of these levels of warming on fire weather. In view of a recent series of high-profile wildfire events worldwide, we access fire weather sensitivity based on a set of multi-model large ensemble climate simulations for th…

  • A curtailed task for quantitative evaluation of visuomotor adaptation in the head-mounted display virtual reality environment

    Open Access•Huiyeong Chang, Sung‐Ho Woo et al.•ARTICLE•Frontiers in Psychiatry•2023

    To accurately perform a goal-directed movement in continuously changing environments, it is unavoidable for individuals to adapt accordingly. The cerebellum has been known to be responsible for such process, specifically adaptation using sensorimotor information. As shown in previous studies, using HMD-VR technology in an experimental setting has similar advantages as in the real-world environment: researchers can manipulate the experimental envi…

  • Statistical seasonal prediction of Arctic sea ice concentration based on spatiotemporal anomaly persistent method

    Open Access•Gyu-Ri Lee, Sung‐Ho Woo et al.•ARTICLE•Environmental Research Letters•2024

    Accurate prediction of Arctic sea ice is crucial for high-latitude and even mid-latitude climate prediction. It significantly affects atmospheric circulation, the environment, ecology, and maritime transport. This study developed a statistical prediction model to predict monthly Arctic sea ice concentration for up to one year based on the season-reliant empirical orthogonal functions (SEOFs) technique. Its prediction skill was compared with that …

  • Dynamical-statistical method for seasonal forecasting of wintertime PM10 concentration in South Korea using multi-model ensemble climate forecasts

    Open Access•Jahyun Choi, Sung‐Ho Woo et al.•ARTICLE•Environmental Research Letters•2024

    Climate conditions and emissions are among the primary influences on seasonal variations in air quality. Consequently, skillful climate forecasts can greatly enhance the predictability of air quality seasonal forecasts. In this study, we propose a dynamical-statistical method for seasonal forecasting of particulate matter (PM 10 ) concentrations in South Korea in winter using climate forecasts from the Asian Pacific Climate Center (APCC) multi-mo…

Climatology (4 works) · Environmental Science (4 works) · Atmospheric sciences (3 works) · Geography (3 works) · Geology (3 works) · Meteorology (3 works) · Oceanography (3 works) · Arctic (2 works) · Arctic and Antarctic ice dynamics (2 works) · Atmospheric chemistry and aerosols (2 works)

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