Abstract:The importance of air-sea coupling in the simulation and prediction of the Madden-Julian Oscillation (MJO) has been well established. However, it remains unclear how air-sea coupling modulates the convection and related oceanic features on the subdaily scale. Based on a regional cloud-permitting coupled model, we evaluated the impact of the air-sea coupling on the convection during the convectively active phase of the MJO by varying the coupling frequency. The model successfully reproduced the atmospheric and … Show more
“…Under strongly suppressed conditions, a thin ocean mixed layer combined with intense diurnal surface heating can induce diurnal SST perturbations of 1–3 K. Nighttime surface cooling drives convective overturning of the ocean mixed layer, mixing some of the daytime‐accumulated heat below the mixed layer; the remaining heat yields a warmer upper ocean at the next day's sunrise than the previous day's sunrise (Anderson et al, 1996). Thus, the SST diurnal cycle rectifies onto the intraseasonal scale (e.g., Bernie et al, 2005; Zhao & Nasuno, 2020).…”
Section: Recent Progress In Understanding Modeling and Predicting Tmentioning
confidence: 99%
“…L. Zhou and Murtugudde (2020) found that SST anomalies up to +0.6 K northwest of Australia during MJO suppressed conditions generate anomalous cyclonic circulations and moisture advection that promote the MJO convective “detour” south of the MC. In regional coupled simulations, Zhao and Nasuno (2020) found that the rectification of diurnal SST variability associated with ocean mixed‐layer shoaling onto intraseasonal SST perturbations was more important for MJO propagation than the diurnal SST itself.…”
Section: Recent Progress In Understanding Modeling and Predicting Tmentioning
confidence: 99%
“…Furthermore, this framework can help reveal the sensitivity of the MJO, and convection in general, to diurnal SST fluctuations (e.g., Matthews et al, 2014) that are captured only with fine oceanic vertical resolution (~1 m in the upper ocean) and frequent (approximately hourly) ocean‐atmosphere coupling (e.g., J.‐Y. Hsu et al, 2019; Y. Li et al, 2013; Zhao & Nasuno, 2020). A collection of simulations, including fully coupled, atmosphere‐only, and 1‐D ocean coupled, can help identify the time scales of coupled feedbacks that most strongly enable or inhibit MJO fidelity and focus efforts to improve oceanic or atmospheric processes most relevant to those scales during model development cycles.…”
Section: Recent Progress In Understanding Modeling and Predicting Tmentioning
Since its discovery in the early 1970s, the crucial role of the Madden‐Julian Oscillation (MJO) in the global hydrological cycle and its tremendous influence on high‐impact climate and weather extremes have been well recognized. The MJO also serves as a primary source of predictability for global Earth system variability on subseasonal time scales. The MJO remains poorly represented in our state‐of‐the‐art climate and weather forecasting models, however. Moreover, despite the advances made in recent decades, theories for the MJO still disagree at a fundamental level. The problems of understanding and modeling the MJO have attracted significant interest from the research community. As a part of the AGU's Centennial collection, this article provides a review of recent progress, particularly over the last decade, in observational, modeling, and theoretical study of the MJO. A brief outlook for near‐future MJO research directions is also provided.
“…Under strongly suppressed conditions, a thin ocean mixed layer combined with intense diurnal surface heating can induce diurnal SST perturbations of 1–3 K. Nighttime surface cooling drives convective overturning of the ocean mixed layer, mixing some of the daytime‐accumulated heat below the mixed layer; the remaining heat yields a warmer upper ocean at the next day's sunrise than the previous day's sunrise (Anderson et al, 1996). Thus, the SST diurnal cycle rectifies onto the intraseasonal scale (e.g., Bernie et al, 2005; Zhao & Nasuno, 2020).…”
Section: Recent Progress In Understanding Modeling and Predicting Tmentioning
confidence: 99%
“…L. Zhou and Murtugudde (2020) found that SST anomalies up to +0.6 K northwest of Australia during MJO suppressed conditions generate anomalous cyclonic circulations and moisture advection that promote the MJO convective “detour” south of the MC. In regional coupled simulations, Zhao and Nasuno (2020) found that the rectification of diurnal SST variability associated with ocean mixed‐layer shoaling onto intraseasonal SST perturbations was more important for MJO propagation than the diurnal SST itself.…”
Section: Recent Progress In Understanding Modeling and Predicting Tmentioning
confidence: 99%
“…Furthermore, this framework can help reveal the sensitivity of the MJO, and convection in general, to diurnal SST fluctuations (e.g., Matthews et al, 2014) that are captured only with fine oceanic vertical resolution (~1 m in the upper ocean) and frequent (approximately hourly) ocean‐atmosphere coupling (e.g., J.‐Y. Hsu et al, 2019; Y. Li et al, 2013; Zhao & Nasuno, 2020). A collection of simulations, including fully coupled, atmosphere‐only, and 1‐D ocean coupled, can help identify the time scales of coupled feedbacks that most strongly enable or inhibit MJO fidelity and focus efforts to improve oceanic or atmospheric processes most relevant to those scales during model development cycles.…”
Section: Recent Progress In Understanding Modeling and Predicting Tmentioning
Since its discovery in the early 1970s, the crucial role of the Madden‐Julian Oscillation (MJO) in the global hydrological cycle and its tremendous influence on high‐impact climate and weather extremes have been well recognized. The MJO also serves as a primary source of predictability for global Earth system variability on subseasonal time scales. The MJO remains poorly represented in our state‐of‐the‐art climate and weather forecasting models, however. Moreover, despite the advances made in recent decades, theories for the MJO still disagree at a fundamental level. The problems of understanding and modeling the MJO have attracted significant interest from the research community. As a part of the AGU's Centennial collection, this article provides a review of recent progress, particularly over the last decade, in observational, modeling, and theoretical study of the MJO. A brief outlook for near‐future MJO research directions is also provided.
“…Years of the Maritime Continent (YMC 1 ) is a multiyear (from 2015 to present) international program with participants from more than 15 countries. Its goal is to improve the understanding of the local oceanic and atmospheric multiscale variability of the Indo-Paci c maritime continent (MC), and the initial results have been published [2][3][4][5][6][7][8][9] .…”
This study validated the sea surface temperature (SST) datasets from the Group for High-Resolution SST Multi Product Ensemble (GMPE), National Oceanic and Atmospheric Administration (NOAA) Optimal Interpolation (OI) SST version 2 and 2.1 (OIv2 and OIv2.1), and Estimating the Circulation and Climate of the Ocean, Phase II (ECCO2) in the area off the western coast of Sumatra against in situ observations. Furthermore, the root mean square differences (RMSDs) of OIv2, OIv2.1, and ECCO2 were investigated with respect to GMPE, whose small RMSD < 0.2 K against in situ observations confirmed its suitability as a reference. Although OIv2 showed a large RMSD (1-1.5 K) with a significant negative bias, OIv2.1 (RMSD < 0.4 K) improved remarkably. In the average SST distributions for December 2017, the differences among the 4 datasets were significant in the areas off the western coast of Sumatra, along the southern coast of Java, and in the Indonesian inland sea. These results were consistent with the ensemble spread distribution obtained with GMPE. The large RMSDs of OIv2 corresponded to high clouds, and it was suggested that the change in the satellites used for SST estimation contributed to the improvement in OIv2.1.
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