Xiao Pan

ORCID: 0000-0001-8578-717X
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About
Contact & Profiles
Research Areas
  • Climate variability and models
  • Tropical and Extratropical Cyclones Research
  • Meteorological Phenomena and Simulations
  • Oceanographic and Atmospheric Processes
  • Remote Sensing and Land Use
  • Atmospheric aerosols and clouds
  • Ocean Acidification Effects and Responses
  • Arctic and Antarctic ice dynamics
  • Aeolian processes and effects
  • Regional Development and Innovation
  • Energy, Environment, and Transportation Policies
  • Energy and Environment Impacts
  • Environmental Impact and Sustainability
  • Environmental Changes in China
  • Atmospheric chemistry and aerosols
  • Precipitation Measurement and Analysis
  • Environmental and Ecological Studies
  • Geophysics and Gravity Measurements
  • Geological and Geophysical Studies

Nanjing University of Information Science and Technology
2019-2024

Peking University
2018

Abstract Record-breaking heavy and persistent precipitation occurred over the Yangtze River Valley (YRV) in June-July (JJ) 2020. An observational data analysis has indicated that strong rainfall arose from confluence of southerly wind anomalies to south associated with an extremely anomalous anticyclone western North Pacific (WNPAC) northeasterly north a high-pressure anomaly Northeast Asia. A further modeling study shown WNPAC was caused by both La Niña-like SST (SSTA) forcing equatorial...

10.1007/s00376-021-0433-3 article EN cc-by Advances in Atmospheric Sciences 2021-06-30

The mechanisms of La Niña onset diversity remain unclear. Here we identified three types using the K-means cluster analysis equatorial SSTA evolutions from preceding summer to developing winter. first type is characterized by a transition neutral year (N2L). second central Pacific (CP) El Niño (CE2L). third super (SE2L). A key signal for N2L warming in tropical North Atlantic (TNA). During autumn prior onset, positive SST and precipitation anomalies occurred TNA, they...

10.5194/egusphere-egu25-14760 preprint EN 2025-03-15

10.15244/pjoes/197460 article EN Polish Journal of Environmental Studies 2025-03-17

Abstract The North Atlantic sea surface temperature tripole (NAT) is a predominant boreal spring oceanic mode, which notably influences Northern Hemispheric climates. However, the NAT pattern and its corresponding air anomalies exhibit large year-to-year disparities. Here, we identified three types of based on relative significance (SSTA) among poles. first type characterized by more dominant SSTA at southern pole, corresponds to pronounced positive (SAT) over America negative SAT Ural...

10.1088/1748-9326/adca47 article EN cc-by Environmental Research Letters 2025-04-08

Abstract An extreme warm winter (ranked first during the past 30‐years) occurred in Shanghai 2019, accompanied with an rainy thirdly same period). observational diagnosis shows that and arose from southerly anomalies associated anticyclone east of Shanghai. The cause was attributed to V‐shaped upper‐tropospheric Rossby wave activity fluxes, originated North Atlantic tropical Indian Ocean. Numerical model experiments indicate anomalous heat source Ocean played a dominant role (~65%) causing...

10.1002/joc.7094 article EN International Journal of Climatology 2021-03-15
Peter Bissolli Catherine Ganter Tim Li Ademe Mekonnen Ahira Sánchez-Lugo and 95 more Eric J. Alfaro Lincoln M. Alves Jorge A. Amador Bianca Ott Andrade Francisco Argeñalso P. Asgarzadeh Julián Baéz Reuben Barakiza M. Yu. Bardin M. Yu. Bardin Oliver Bochníček Brandon Bukunt Blanca Calderón Jayaka Campbell Elise Chandler Ladislaus Benedict Chang’a Vincent Y. S. Cheng Leonardo A. Clarke Kris Correa Catalina Cortés Felipe Costa Ana Paula Martins do Amaral Cunha Mesut Demircan Kumar R. Dhurmea Alima Diawara Sarah Diouf Dashkhuu Dulamsuren M. ElKharrim Jhan Carlo Espinoza Amin Fazl-Kazem Chris Fenimore Steven Fuhrman Karin Gleason Charles “Chip” P. Guard Samson Hagos Mizuki Hanafusa H. R. Hasannezhad Richard R. Heim Hugo G. Hidalgo J. A. Ijampy Gyo Soon Im Annie C. Joseph Guillaume Jumaux K. Kabidi Pierre Honoré Kamsu Tamo John Kennedy V. M. Khan Mai Van Khiem Philemon King’uza Natalia N. Korshunova Andries Kruger Hoang Phuc Lam Mark A. Lander Waldo Lavado‐Casimiro Tsz‐Cheung Lee Kinson H. Y. Leung Gregor Macara Jostein Mamen José A. Marengo C. Mcbride Noelia Misevicius Aurel Moise Jorge Molina‐Carpio Natali Mora Awatif E. Mostafa Habiba Mtongori Charles Mutai Ousmane Ndiaye Juanjo Nieto Latifa O. Nyembo Patricia Nying’uro Xiao Pan Reynaldo Pascual Ramírez David Phillips Brad Pugh M. Rajeevan M. L. Rakotonirina Andrea M. Ramos Miliaritiana L. Robjhon C.M. Welsh Rodriguez Guisado Rodriguez Josyane Ronchail Benjamin Rösner Roberto Salinas Hirotaka Sato Hitoshi Sato Amal Sayouri Joseph Ndakize Sebaziga Serhat Şensoy Sandra Spillane Katja Trachte Gerard van der Schrier F. Sima Adam Smith Jacqueline Spence

Corresponding authors: North America: Ahira Sánchez-Lugo / Ahira.Sanchez-Lugo@noaa.gov. Central America and the Caribbean: Ahira.Sanchez-Lugo@noaa.gov, South Africa: Ademe Mekonnen amekonne@ncat.edu, Europe: Peter Bissolli Peter.Bissolli@dwd.de, Asia: Tim Li timli@hawaii.edu, Oceania: Catherine Ganter Catherine.Ganter@bom.gov.au

10.1175/2021bamsstateoftheclimate_chapter7.1 article EN Bulletin of the American Meteorological Society 2021-08-01

Abstract A shift of El Niño onset location from eastern Pacific (EP) to western (WP) occurred around 1970. It was accompanied by a faster mean sea surface temperature (SST) warming in WP and change precursory SST wind anomaly patterns. The eigenvalue analysis simple coupled model shows that an (SSTA) may grow under the post-1970 condition but cannot pre-1970 condition. As result, warm SSTA appeared accompanying preceding La Niña EP after 1970, whereas such rarely seen before patterns led...

10.1038/s41612-024-00709-y article EN cc-by npj Climate and Atmospheric Science 2024-07-05

Abstract El Niño–Southern Oscillation (ENSO) prediction is one of the most debated and challenging tasks, whilst its real‐time operational skill still has room for improvement. In this study, spatial–temporal projection model applied to predict Niño3.4 index at lead time six months. By regressing variable fields onto month by month, physical‐based predictability sources, that is, mixed‐layer oceanic temperature, sea surface thermocline depth, accumulated westerly‐wind‐events over specific...

10.1002/joc.6581 article EN International Journal of Climatology 2020-04-03

Shanghai experienced the longest rainy days in 2018/2019 winter since 1988. The physical cause of such an unusual climate condition was investigated through diagnosis observational data. From a seasonal perspective, long persistent often associated with El Niño equatorial Pacific. This abnormal oceanic induces remote teleconnection pattern pronounced low-level southerly anomalies over East China. wind transported moisture from tropical oceans and caused rainfall Asia. Meanwhile, local time...

10.1007/s13351-020-9163-1 article EN Journal of Meteorological Research 2020-04-01

<p>The characteristics including cloud occurrence frequencies, vertical structure, configuration of type, and microphysical structure single-layer multi-layer clouds in Tibetan Plateau (TP) summer (June-August) during 2007-2010 are investigated based on the CloudSat merged data. The results indicate that over TP is mainly form with frequency 56.86%, then followed by double-layer 24.47%. spatial distribution shows located northern plateau, fraction decrease gradually from...

10.5194/egusphere-egu2020-12662 article EN 2020-03-09
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