Il‐Ju Moon

ORCID: 0000-0001-9370-0900
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About
Contact & Profiles
Research Areas
  • Tropical and Extratropical Cyclones Research
  • Ocean Waves and Remote Sensing
  • Climate variability and models
  • Coastal and Marine Dynamics
  • Meteorological Phenomena and Simulations
  • Oceanographic and Atmospheric Processes
  • Marine and Coastal Research
  • Arctic and Antarctic ice dynamics
  • Precipitation Measurement and Analysis
  • Flood Risk Assessment and Management
  • Climate Change, Adaptation, Migration
  • Marine and coastal ecosystems
  • Soil Moisture and Remote Sensing
  • Hydrological Forecasting Using AI
  • Methane Hydrates and Related Phenomena
  • Atmospheric chemistry and aerosols
  • Atmospheric and Environmental Gas Dynamics
  • Energy and Environmental Systems
  • Coastal and Marine Management
  • Aeolian processes and effects
  • Aquatic Ecosystems and Phytoplankton Dynamics
  • Marine and fisheries research
  • Marine Invertebrate Physiology and Ecology
  • Traffic Prediction and Management Techniques
  • Climate change impacts on agriculture

Jeju National University
2016-2025

Korea Meteorological Administration
2011

Climate Centre
2011

Bjerknes Centre for Climate Research
2011

NOAA Geophysical Fluid Dynamics Laboratory
2011

Goddard Institute for Space Studies
2011

Institut Pierre-Simon Laplace
2011

Japan Agency for Marine-Earth Science and Technology
2011

Meteorological Research Institute
2011

NSF National Center for Atmospheric Research
2011

Slow-moving tropical cyclones (TCs) can cause heavy rain because of their duration influence. Combined with expected increase in rates associated TCs a warmer climate, there is growing interest TC translation speed the past and future. Here we present that slowdown trend not simulated for period 1951-2011 based on historical model simulations. We also find annual-mean could under global warming. Although previous studies show large uncertainties future projections characteristics, our...

10.1038/s41467-019-13902-y article EN cc-by Nature Communications 2020-01-08

Abstract A new bulk parameterization of the air–sea momentum flux at high wind speeds is proposed based on coupled wave–wind model simulations for 10 tropical cyclones that occurred in Atlantic Ocean during 1998–2003. The describes how roughness length increases linearly with speed and neutral drag coefficient tends to level off speeds. then tested real hurricanes using operational Geophysical Fluid Dynamics Laboratory (GFDL) hurricane–ocean prediction model. impact hurricane mainly found...

10.1175/mwr3432.1 article EN Monthly Weather Review 2007-08-01

Abstract Numerical simulation of sea surface directional wave spectra under hurricane wind forcing was carried out using a high-resolution model. The run for four days as Hurricane Bonnie (1998) approached the U.S. East Coast. results are compared with buoy observations and NASA Scanning Radar Altimeter (SRA) data, which were obtained on 24 August 1998 in open ocean 26 when storm approaching shore. simulated significant height reached 14 m, agreeing well SRA observations. It gradually...

10.1175/2410.1 article EN Journal of Physical Oceanography 2003-08-01

Present parameterizations of air–sea momentum flux at high wind speed, including hurricane forcing, are based on extrapolation from field measurements in much weaker regimes. They predict monotonic increase drag coefficient (Cd) with speed. Under the present numerical experiments using a coupled ocean wave and boundary layer model show that Cd extreme speeds strongly depends field. Higher, longer, more developed waves right-front quadrant storm produce higher sea drag; lower, shorter,...

10.1175/1520-0469(2004)061<2334:eoswoa>2.0.co;2 article EN Journal of the Atmospheric Sciences 2004-09-27

Abstract Global wave hindcasts are developed using the third generation spectral model WAVEWATCH III with observation‐based source terms (ST6) and a hybrid rectilinear‐curvilinear, irregular‐regular‐irregular grid system (approximately at ). Three distinct global produced: (a) long‐term hindcast (1979–2019) forced by ERA5 conventional winds (b) two short‐term (2011–2019) driven NCEP climate forecast (CFS)v2 neutral , respectively. The input field for ice is sourced from Ocean Sea Ice...

10.1029/2021ms002493 article EN cc-by-nc Journal of Advances in Modeling Earth Systems 2021-07-28

A substantial number of studies have been published since the Ninth International Workshop on Tropical Cyclones (IWTC-9) in 2018, improving our understanding effect climate change tropical cyclones (TCs) and associated hazards risks. These reinforced robustness increases TC intensity risks due to anthropogenic change. New modeling observational suggested potential influence forcings, including greenhouse gases aerosols, global regional activity at decadal century time scales. However, there...

10.1016/j.tcrr.2023.10.001 article EN cc-by-nc-nd Tropical Cyclone Research and Review 2023-09-01

The effect of surface waves on air–sea momentum exchange over mature and growing seas is investigated by combining ocean wave models a boundary layer model. combined model estimates the wind stress explicitly calculating wave-induced stress. In frequency range near spectral peak, NOAA/ NCEP WAVEWATCH-III used to estimate spectra, while spectra in equilibrium are determined an analytical This approach allows for estimation drag coefficient equivalent roughness any fields. Numerical...

10.1175/1520-0469(2004)061<2321:eoswoa>2.0.co;2 article EN Journal of the Atmospheric Sciences 2004-09-27

[1] A Lagrangian-particle-tracking experiment has been conducted using Regional Ocean Modeling System to determine physical factors that controlled the occurrence of record-breaking massive green tide along southern coast Shandong Peninsula (SP) in 2008. The numerical results reveal southerly wind May is responsible for offshore movement from Jiangsu Province and easterly June its extension up SP. From analysis 30 year fields, it was also found patterns 2008, which were very unique rare,...

10.1029/2011jc007512 article EN Journal of Geophysical Research Atmospheres 2011-10-25

An observed poleward migration in the average latitude at which tropical cyclones (TCs) achieved their lifetime-maximum intensities (LMIs) was previously explained by changes mean meridional environments favorable to storm development linked expansion and anthropogenic warming. We show that is greatly influenced basin-to-basin TC frequency associated with multi-decadal variability, particularly for Northern Hemisphere (NH). The contribution of comparable environmental changes. A...

10.1088/1748-9326/10/10/104004 article EN cc-by Environmental Research Letters 2015-10-01

Abstract In recent years, the East Asian (EA) region experienced escalated cost of damages associated with tropical cyclones (TC) during mature boreal autumn (i.e., September−October). Questions arise whether such increased TC-associated are indicative increasing activity TCs in EA, particularly autumn. Here we show evidence significantly EA from 1981 to 2019 that is mainly accompanied by an abrupt regime shift TC passage frequency since 1998. Such trend and robustly linked Pacific Decadal...

10.1038/s41612-021-00222-6 article EN cc-by npj Climate and Atmospheric Science 2022-01-20

Abstract Due to the cold water temperatures, East China Sea (ECS) is usually unfavorable for typhoon development. Recently, in a rare event, Typhoon Bavi (2020) reached major status and became strongest ECS past decade. Based on situ observations model simulations, we discover that this fueled by marine heatwave, which creates very warm ocean condition with sea surface temperature (SST) exceeding 30 °C. Also, because of suppressed typhoon-induced SST cooling caused shallow depth (41 m)...

10.1038/s41612-023-00449-5 article EN cc-by npj Climate and Atmospheric Science 2023-08-28

Warmer sea surface temperatures (SSTs) increase evaporation, convection, and latent heat release in the atmosphere, which favors tropical cyclone (TC) intensification ultimately leads to stronger storms. However, this study, we find that intensity of TCs western North Pacific, called typhoons, is on average higher colder autumn season than during warmer summer season. The primary reason for despite decrease SSTs autumn, deepening ocean mixed layer TC potential reduces storm-induced SST...

10.1038/s41612-025-01008-w article EN cc-by-nc-nd npj Climate and Atmospheric Science 2025-03-31

Typhoons or mature tropical cyclones (TCs) can affect inland areas of up to hundreds kilometers with heavy rains and strong winds, along landslides causing numerous casualties property damage due concentrated precipitation over short time periods. To reduce these damages, it is necessary accurately predict the rainfall induced by TCs in western North Pacific Region. However, despite dramatic advances observation numerical modeling, accuracy prediction typhoon-induced spatial distribution...

10.3390/rs12244133 article EN cc-by Remote Sensing 2020-12-17

Abstract To imply the gravity of their impact on Christmas celebration, term typhoon recently became more popular to refer tropical cyclones (TC) in Western North Pacific (WNP) during its less active season. The past 9 years from 2012 2020 saw than 70% (210%) increases occurrences WNP (Philippines). Furthermore, Mindanao Island, which is located southern Philippines, has experienced an unprecedented 480% increase TC passage same period. Here we show that detected recent typhoons are mainly...

10.1038/s41598-021-86814-x article EN cc-by Scientific Reports 2021-04-01

The dependence of the air‐sea momentum flux on surface wave fields is investigated at very high winds under tropical cyclones. A coupled wave‐wind model applied to estimate ten hurricanes in western Atlantic Ocean during 1998–2003. explicitly calculates wave‐induced stress vector and total wind from a given speed calculated spectrum. It found that neutral drag coefficient levels off speeds cyclones, being consistent with recent observations previous modeling studies. most important finding...

10.1029/2004gl020988 article EN Geophysical Research Letters 2004-10-01

Abstract The main purposes for establishing the Korea ocean research stations (KORS) are advancing an overall understanding of atmospheric and oceanic phenomena in Yellow East China Seas; providing core scientific data studies on global environmental change, typhoon dynamics, biogeochemical cycles, marine ecosystems fisheries, chemistry involving Asian dust aerosols, air–sea interaction processes including sea fog, regional oceanographic process studies; functioning as ground remote sensing....

10.1175/bams-d-18-0305.1 article EN cc-by Bulletin of the American Meteorological Society 2019-06-05

The El Niño–Southern Oscillation (ENSO) causes a wide array of abnormal climates and extreme events, including severe droughts floods, which have major impact on humanity. With the development artificial neural network techniques, various attempts are being made to predict ENSO more accurately. However, there still limitations in accurately predicting beyond 6 months, especially for years with less frequent but greater impact, such as strong Niño or La Niña, mainly due insufficient...

10.3389/fmars.2023.1309609 article EN cc-by Frontiers in Marine Science 2024-01-15

Abstract Effects of new drag coefficient (Cd) parameterizations on WAVEWATCH III (WW3) model surface wave simulations are investigated. The based a coupled wind–wave (CWW) and tank experiment, yields reduced Cd at high wind speeds. Numerical experiments for uniform winds Hurricane Katrina (2005) indicate that the original parameterization used in WW3 overestimates speeds compared to recent observational, theoretical, numerical modeling results. Comparisons with buoy measurements during...

10.1175/2007mwr2131.1 article EN Monthly Weather Review 2008-03-01

Abstract In this study, the causes of increase in global mean tropical cyclone translation speed (TCTS) post-satellite era were investigated. Analysis reveals that global-mean TCTS increased by 0.31 km h −1 per decade over last 36 years, but steering flow controlling local decreased −0.24 major (TC) passage regions. These values correspond to a change 5.9% and −5.6% during analysis period for flow, respectively. The inconsistency between these two related variables (TCTS flows) is caused...

10.1088/1748-9326/ab9e1f article EN cc-by Environmental Research Letters 2020-06-18
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