Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Yinong, Pan"'
Publikováno v:
Frontiers in Earth Science, Vol 9 (2021)
Two high-resolution Chinese regional reanalysis (CNRR) datasets at a resolution of 18 km during the period of 1998–2009 are generated by Gridpoint Statistical Interpolation (GSI) data assimilation system and spectral nudging (SN) method. The precip
Externí odkaz:
https://doaj.org/article/421622bd838145abb8133e7a3058098c
Publikováno v:
Journal of Geophysical Research: Atmospheres. 126
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56c64e11ca6978c234e4ea9b6141a7e0
https://doi.org/10.1029/2020jd034259
https://doi.org/10.1029/2020jd034259
Publikováno v:
Journal of Meteorological Research. 31:1149-1160
Mesoscale vortices, which appear at middle and lower levels of rainstorms, are cyclonic circulations with a size ranging from tens of kilometers to several hundred kilometers. Mesoscale vortices often have close relationships with convective activiti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::663caf0dfaebe0d47131e27fa185131e
https://doi.org/10.1007/s13351-017-7639-4
https://doi.org/10.1007/s13351-017-7639-4
Publikováno v:
Journal of Geophysical Research: Atmospheres. 122:10-10,819
Globally, reanalysis datasets are widely used in assessing climate change, validating numerical models, and understanding the interactions between the components of a climate system. However, due to the relatively coarse resolution, most global reana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac590479801ce925a5af3bccdea5347c
https://doi.org/10.1002/2017jd027476
https://doi.org/10.1002/2017jd027476
Publikováno v:
Acta Meteorologica Sinica. 27:889-909
The Advanced Research WRF (Weather Research and Forecasting) model is used to simulate the evolution of a mesoscale convective vortex (MCV) that formed on the Meiyu front and lasted for more than two days. The simulation is used to investigate the un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21e780f1ee82e3f3be59ff3cf5c5ba3e
https://doi.org/10.1007/s13351-013-0509-9
https://doi.org/10.1007/s13351-013-0509-9
Publikováno v:
Acta Meteorologica Sinica. 27:435-445
Mesoscale convective systems (MCSs) are severe disaster-producing weather systems. Radar data and infrared satellite image are useful tools in MCS surveillance. The previous method of MCS census is to look through the printed infrared imagery manuall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::492db10c8851455f50b5a170615cce56
https://doi.org/10.1007/s13351-013-0305-6
https://doi.org/10.1007/s13351-013-0305-6
Publikováno v:
Asia-Pacific Journal of Atmospheric Sciences. 47:79-90
Based on the simulation displayed in Part I of this study, the intensification and maintenance, the relationship between deep moist mesoscale convective system (DMMCS) and instability, convective vorticity vector (CVV) are analyzed in the present pap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1eda7acddb6f10aa8c38db399ff54db4
https://doi.org/10.1007/s13143-011-1007-6
https://doi.org/10.1007/s13143-011-1007-6
Publikováno v:
Boundary-Layer Meteorology. Dec1997, Vol. 85 Issue 3, p423-446. 24p.
Publikováno v:
Advances in Atmospheric Sciences; Sep2000, Vol. 17 Issue 3, p433-444, 12p
Publikováno v:
Advances in Atmospheric Sciences; Jun2000, Vol. 17 Issue 2, p256-274, 19p