Enhanced Role of Convection in Future Hourly Rainfall Extremes Over South Korea

Lee, Dong-Hyun; Min, Seung‐Ki; Park, In‐Hong; Ahn, Joong‐Bae; Cha, Dong‐Hyun; Chang, Eun‐Chul; Byun, Young‐Hwa

doi:10.1029/2022gl099727

Cited by 10 publications

(3 citation statements)

References 76 publications

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“…However, even the largest temperature increases cannot mitigate the impact of greater precipitation on increasing flood magnitude and frequency. Furthermore, this uncoupled model does not include realistic changes in rainfall intensity and magnitude which might be expected with increases in temperature and could change land surface responses to floods and droughts (Wasko et al, 2019;Lee et al, 2022).…”

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confidence: 99%

Afforestation impacts on terrestrial hydrology insignificant compared to climate change in Great Britain

Buechel

Slater

Dadson

2023

Preprint

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Abstract. Widespread afforestation has been proposed internationally to reduce atmospheric carbon dioxide, however the specific hydrological consequences and benefits of such large-scale afforestation (e.g., Natural Flood Management) are poorly understood. We use a high-resolution land surface model, JULES, with realistic potential afforestation scenarios to quantify possible hydrological change across Great Britain in both present and projected climate. We assess whether proposed afforestation produces significantly different regional responses across regions; whether hydrological fluxes, stores and events are significantly altered by afforestation relative to climate; and how future hydrological processes may be altered up to 2050. Additionally, this enables determination of the relative sensitivity of land surface process representation in JULES compared to climate changes. For these three aims we run simulations using: (i) past climate with proposed land cover changes and known floods and drought events; (ii) past climate with independent changes in precipitation, temperature, and CO2; and (iii) a potential future climate (2020–2050). We find the proposed scale of afforestation is unlikely to significantly alter regional hydrology, however it can noticeably decrease low flows whilst not reducing high flows. The afforestation levels minimally impact hydrological processes compared to changes in precipitation, temperature, and CO2. Warming average temperatures (+ 3 °C) decreases streamflow, while rising precipitation (130 %) and CO2 (600 ppm) increase streamflow. Changes in high flow are generated because of evaporative parameterisations whereas low flows are controlled by runoff model parameterisations. In this study, land surface parameters within a land surface model do not substantially alter hydrological processes when compared to climate.

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confidence: 99%

Afforestation impacts on terrestrial hydrology insignificant compared to climate change in Great Britain

Buechel

Slater

Dadson

2023

Preprint

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“…compared to the ERA-Interim (Hersbach et al 2020). All these reference datasets have been widely used in climate model evaluation (Park et al 2021(Park et al , 2022Lee et al 2022;Tang et al 2022;T. J. Kim et al 2023;) and were interpolated to the same 0.25° × 0.25° grids using the bilinear interpolation method.…”

Section: Observation and Reanalysis Datasetsmentioning

confidence: 99%

Relationship between systematic temperature bias and East Asian winter monsoon in CORDEX East Asia phase II experiments

Shin,

Lee,

Park

et al. 2024

Clim Dyn

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This study analyzed systematic biases in surface air temperature (SAT) within Far East Asia during the boreal winter using the SNURCM and WRF regional climate models (RCMs) from CORDEX-East Asia phase II. The SAT biases were examined in relation to the East Asian Winter Monsoon (EAWM). The models consistently simulated lower winter temperatures over East Asia, particularly in the Manchuria (MC) region, compared to the observation, showing a positive correlation with the EAWM. This study assessed the models' ability to capture EAWM variability and revealed relationships between SAT biases and discrepancies in low-level and near-surface EAWM conditions. The findings emphasized the value of analyzing extreme monsoon years, with the RCMs exhibiting larger cold SAT biases during strong EAWM years.Systematic biases in sea-level pressure contrast and lower-level winds over the MC region were evident during years with a robust monsoon. The overestimation of low-level winds during strong EAWM years contributed to increased cold advection, affecting the MC region. These results provide insights for model improvements, understanding EAWM dynamics, and call for investigation of processes in the planetary boundary layer and coupled air-sea interaction.

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“…An inaccurate MCS life cycle often leads to erroneous circulation (Marsham et al, 2013;Birch et al, 2015;Willetts et al, 2017), unrealistic cloud cover, and climate sensitivity (Zhao, 2014;Bony et al, 2015) in models. Recently, with the help of model simulations, it was found that the super Clausius-Clapeyron scaling of precipitation with the temperature was largely due to the better organization of MCSs (Bao et al, 2017;Lee et al, 2022). Thus, knowledge of various characteristics of deep clouds is needed to test and improve the present-day high-resolution weather models.…”

Section: Introductionmentioning

confidence: 99%

Life Cycle of Deep Cloud Systems of Indian Summer Monsoon using High Temporal Resolution Satellite Data

PHADTARE,

Bhat

2024

Preprint

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Life cycle characteristics of deep cloud systems (CSs) formed over India and the surrounding oceans during the summer monsoon season are reported using half-hourly geostationary satellite data. An automated cloud tracking algorithm based on the area overlap method is used. We show that the larger CSs tend to live longer and grow deeper, with some convective towers growing deeper than the tropopause. The CSs over Central India are shorter-lived than those over the Bay of Bengal. Interestingly, they have similar sizes as the peak growth rate of the former is about twice that of the latter, suggesting stronger updrafts in the continental systems. In June and September, CSs formations predominately occur over the orographic features, whereas in July-August, it is associated with the monsoon trough. CSs show a tendency to propagate upwind of the lower tropospheric winds. Merging contributes significantly to the growth and longevity of CSs. This suggests that large and long-lived CSs are formed when the environment can trigger and sustain multiple CSs in close vicinity. The peak in the CS size occurs, around halfway through its lifetime, chronologized by systematic merging and splitting events, i.e., CSs normally have symmetrical growth and decay phases. Whereas the minimum mean cloud-top temperature of CS occurs during the second quarter. This is in consensus with the vertical build-up of convective towers followed by horizontal growth via anvil spreading.

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Enhanced Role of Convection in Future Hourly Rainfall Extremes Over South Korea

Cited by 10 publications

References 76 publications

Afforestation impacts on terrestrial hydrology insignificant compared to climate change in Great Britain

Afforestation impacts on terrestrial hydrology insignificant compared to climate change in Great Britain

Relationship between systematic temperature bias and East Asian winter monsoon in CORDEX East Asia phase II experiments

Life Cycle of Deep Cloud Systems of Indian Summer Monsoon using High Temporal Resolution Satellite Data

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