Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Jiping Guan"'
Publikováno v:
npj Climate and Atmospheric Science, Vol 7, Iss 1, Pp 1-11 (2024)
Abstract A climatology of stratospheric gravity waves (SGWs) induced by tropical cyclones (TC-SGWs) is necessary for stratospheric aviation safety and accurate numerical weather prediction. Few previous works have characterized the climatology of TC-
Externí odkaz:
https://doaj.org/article/5459a1535c024e419c6a7e521141cc47
Publikováno v:
Earth and Space Science, Vol 11, Iss 6, Pp n/a-n/a (2024)
Abstract Accurate rainfall measurement with a precise spatial and temporal resolution is essential for making informed decisions during disasters and conducting scientific studies, particularly in regions characterized by intricate terrain and limite
Externí odkaz:
https://doaj.org/article/249f6765dfb44a5a94c4cd9fb42e8e25
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 18, Pp n/a-n/a (2023)
Abstract The generation mechanism of stratospheric gravity waves (SGWs) in tropical cyclones (TCs) is investigated with an idealized experiment using numerical model. The results show that there are two peaks of SGW amplitude during the mature period
Externí odkaz:
https://doaj.org/article/e7242a89772a42a4a8e1b4059e35f7b0
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 15, Pp n/a-n/a (2023)
Abstract Deep learning models based on radar echo extrapolation have been widely used in precipitation nowcasting. However, they face the challenge of insufficient input information when extending the forecast lead time, requiring the incorporation o
Externí odkaz:
https://doaj.org/article/cb90eb2be0ae4265b2a5b66635d2e2c1
Publikováno v:
Remote Sensing, Vol 16, Iss 1, p 52 (2023)
Accurate and timely precipitation forecasts are critical in modern society, influencing both economic activity and daily life. While deep learning methods leveraging remotely sensed radar data have become prevalent for precipitation nowcasting, longe
Externí odkaz:
https://doaj.org/article/43a03102446147989af2c847e091f74e
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2022)
Numerical weather prediction (NWP) provides the future state of the atmosphere and is a major tool for weather forecasting. However, NWP has inevitable errors and requires bias correction to obtain more accurate forecasts. NWP is based on discrete nu
Externí odkaz:
https://doaj.org/article/e4bb05e9bba346c5bafc6ff8bc0848d2
Publikováno v:
Frontiers in Earth Science, Vol 10 (2022)
Future weather conditions can be obtained based on numerical weather prediction (NWP); however, NWP is unsatisfied with precise local weather prediction. In this study, we propose a spatiotemporal convolutional network (STCNet) based on spatiotempora
Externí odkaz:
https://doaj.org/article/563f83ebb8094f05b6293690a2c4abe4
Publikováno v:
Remote Sensing, Vol 15, Iss 12, p 3140 (2023)
When vortex electromagnetic waves propagate through a turbulent atmosphere, the amplitude and phase of the electromagnetic waves are disturbed, creating the scintillation effect. According to the scintillation index of vortex waves, a new method of r
Externí odkaz:
https://doaj.org/article/e166818d764140d6a2bcc7a0ff5c6444
Publikováno v:
Remote Sensing, Vol 14, Iss 24, p 6336 (2022)
We used the Constellation Observing System for Meteorology, Ionosphere, and Climate-2 (COSMIC-2) dry temperature profile data from December 2019 to November 2021 to study the vertical wavenumber spectra of the potential energy of stratospheric gravit
Externí odkaz:
https://doaj.org/article/495bbbac5c564cce950dd893827f0251
Publikováno v:
Remote Sensing, Vol 14, Iss 16, p 4096 (2022)
COSMIC-2 (Constellation Observing System for Meteorology, Ionosphere and Climate- 2) dry temperature profile data from December 2019 to November 2021 are used to study stratospheric gravity waves (GWs) in the Asian monsoon region. The stratosphere be
Externí odkaz:
https://doaj.org/article/d8486e4d896e4d2699f657b62d525e9d