Jing Ma

Dr. Jing Ma


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 June 2020 in Nature Climate Change
Verified
Journal Article
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WZWenyu Zhou
Wenyu Zhou
DYDa Yang
Da Yang
SXShang-Ping Xie
Shang-Ping Xie
JMJing Ma
Jing Ma

2 January 2021 in International Journal of Climatology
Verified
Journal Article
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MXMeng Xu
Meng Xu
HXHaiming Xu
Haiming Xu
JMJing Ma
Jing Ma
JDJiechun Deng
Jiechun Deng
Impact of the Atlantic multidecadal oscillation (AMO) on the interannual relationship between the El Niño‐Southern Oscillation (ENSO) and East Asian early summer monsoon (EAESM) is investigated using observations and community atmosphere model (CAM) outputs. We find that the interannual ENSO–EAESM relationship displays a prominent decadal variation during 1951–2018, which is consistent with the AMO phase change, that is, a high ENSO–EAESM correlation appears during the negative AMO phase, while no significant correlation is found during the positive AMO phase. Further analyses reveal that the AMO‐related sea surface temperature anomalies (SSTAs) in the western North Pacific, rather than in the North Atlantic, modulate the interannual relationship between the El Niño and EAESM. These SSTAs can prolong the existence of the anomalous western North Pacific anticyclone (WNPAC) from the ENSO mature winter to the subsequent early summer, thus affecting the ENSO–EAESM relationship for the El Niño events. In contrast, the AMO modulates the interannual relationship between the La Niña and EAESM through the North Atlantic and North Pacific. The North Atlantic warming‐induced anomalous anticyclone weakens the background cyclone over the western North Pacific during the positive AMO phase, and the mid‐latitude air–sea interaction in the North Pacific also influence the anomalous cyclone. The observed AMO's impact on the interannual relationship between the ENSO and EAESM is confirmed by atmosphere general circulation model simulations using the CAM.

13 September 2021 in International Journal of Climatology
Verified
Journal Article
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MXMeng Xu
Meng Xu
HXHaiming Xu
Haiming Xu
JMJing Ma
Jing Ma
JDJiechun Deng
Jiechun Deng
In this study, we investigate impact of the Pacific Decadal Oscillation (PDO) on the interannual relationship between the El Niño and South China Sea summer monsoon onset (SCSSMO) using observations and community atmosphere model (CAM) simulations. We find that the interannual relationship between El Niño and SCSSMO during 1948–2019 has significant decadal variation, namely, this variation is consistent with PDO phase change. Specifically, a high El Niño‐SCSSMO correlation appears during the positive PDO phase from the mid‐1970s to the mid‐1990s; in contrast, no significant correlation exists during the negative PDO phase from the mid‐1950s to the mid‐1970s and also from the 2000s to the 2010s. Further analyses suggest that the PDO‐related sea surface temperature anomalies (SSTAs) in the western North Pacific (WNP), rather than in the North Pacific, modulate the El Niño‐SCSSMO relationship. The SSTAs in the WNP can prolong the existence of the anomalous WNP anticyclone (WNPAC) from the El Niño mature winter to the following May, and the corresponding western Pacific subtropical high (WPSH) is stronger and extends further westward, thus causing a late SCSSMO during the positive PDO phase. In contrast, the WNPAC disappears and the WPSH withdraws earlier in May during the negative PDO phase, inducing an early onset of the SCSSM. The observed PDO's impact on the interannual relationship between the El Niño and SCSSMO is confirmed by CAM simulations.

29 January 2020 in International Journal of Climatology
Verified
Journal Article
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JMJing Ma
Jing Ma
WHWeibang He
Weibang He
ZCZhehan Chen
Zhehan Chen
YFYihang Fu
Yihang Fu
JYJiayue Yin
Jiayue Yin
Based on the fifth generation reanalysis of European Centre for Medium–Range Weather Forecasts (ECMWF), Hadley Centre sea ice and sea surface temperature data, and ENSEMLES hindcasts, the impact of north tropical Atlantic (NTA) sea surface temperature (SST) anomalies in the ensuing spring of El Niño on the tropical Indian Ocean (TIO) and Northwest Pacific (NWP) is investigated using composites, singular value decomposition, and correlations. The anomalous SST warming in the NTA region in the decay spring of El Niño leads to a Gill‐type response of the overlying atmosphere in spring–summer. The Kelvin wave over the TIO stimulated by the NTA warming causes the anomalous easterlies in the regions of TIO and NWP, thereby the strengthening of the NWP subtropical anticyclone (NWPSA). The NTA SST warming also forces a local ascending motion, leading to a downward branch over the NWP region. This descent gives rise to the TIO‐NWP low‐level easterly anomalies and an intensification of the NWPSA. The anomalous easterly weakens the background southwesterly monsoon, accompanied by the increased atmospheric boundary layer specific humidity caused by the troposphere warming, suppressing upward latent heat fluxes, finally contributing to the North Indian Ocean (NIO) warming in summer. This indicates that the second warming of the NIO region in the following summer of El Niño may be partially attributed to the NTA warming in the ensuing spring of El Niño. This study improves our understanding of the impact of the NTA SST anomalies in the El Niño decay spring on the TIO and NWP regions, and emphasizes the importance of the NTA region in the pantropical inter‐basin interactions.

4 April 2020 in Remote Sensing
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Journal Article
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JJJinlin Ji
Jinlin Ji
JMJing Ma
Jing Ma
Changming DongChangming Dong
Changming Dong
JCJohn C. H. Chiang
John C. H. Chiang
DCDake Chen
Dake Chen
Based on sea surface height anomaly (SSHA) from satellite altimeter and microwave radiometer datasets, this study investigates atmospheric responses to oceanic eddies in four subdomains of the North Pacific Ocean with strongest eddy activity: Kuroshio Extension (KE), Subtropical Front (SF), California Coastal Current (CC) and Aleutian Islands (AI). Analyses show that anticyclonic eddies cause sea surface temperature, surface wind speed and precipitation rate to increase in all four subdomains, and vice versa. Through a further examination of the regional dependence of atmospheric responses to oceanic eddies, it is found that the strongest and the weakest surface wind speed responses (in winter and summer) are observed in the KE and AI region, respectively. For precipitation rate, seasonal variation of the atmospheric responses to oceanic eddies is strongest in winter and weakest in summer in the KE, CC and AI regions, but stronger in summer in the SF area. The reasons for such regional dependence and seasonality are the differences in the strength of SST anomalies, the vertical kinetic energy flux and atmospheric instability in the four subdomains.

6 February 2019 in Remote Sensing
Verified
Journal Article
Open access
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SWSen Wang
Sen Wang
WZWeijun Zhu
Weijun Zhu
JMJing Ma
Jing Ma
JJJinLin Ji
JinLin Ji
JYJingsong Yang
Jingsong Yang
Changming DongChangming Dong
Changming Dong
Using satellite remote sensing data and re-analysis products for the period of 1993–2015, the variation of a large anticyclonic eddy, the so-called Great Whirl (GW), located in the Northwest Indian Ocean off the coast of Somali, and its impacts on atmosphere were investigated. The GW is generated in early summer and decays in late fall every year. The center of the GW is located at 7.73°N, 53.20°E. The mean lifetime, sea level anomaly (SLA) difference, sea surface temperature anomaly (SSTA), radius, normalized vorticity, eddy kinetic energy (EKE), and deformation rate are 169 days, 0.07 m, 0.83 °C, 116.86 km, −0.53, 0.08 m 2 · s − 2 , and 0.58, respectively. All these variables exhibit interannual variations. Composite analyses show that the maximum values of sea surface temperature (SST), wind, and water vapor anomalies occur in the northwest of the GW center. The fitting coefficient between the SST and wind speed anomaly is 1.1, indicating that, corresponding to 1 °C increases of the SST, the wind speed increases by about 1.1 m · s − 1 , and the fitting coefficient between the SST and water vapor anomaly is 0.45, indicating that water vapor increases by about 0.45 mm in response to 1 °C increases in the SST. In the vertical direction, the maximum and minimum values of vertical velocity anomalies and vertical transport of transient zonal momentum occur over the GW at about 900 hPa, and wind speed anomalies occur at about 950 hPa. Both the positive transport anomalies of transient zonal momentum and the positive vertical velocity anomalies on the west side of the GW can accelerate the wind speed in the lower level.