Zobrazeno 1 - 10
of 752
pro vyhledávání: '"Convective cloud"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 19935-19942 (2024)
The Environmental Trace Gases Monitoring Instrument 2 (EMI-02) payload, embarked on a hyperspectral observation satellite, was launched on September 7, 2021. The satellite's transit time is 10:30 local time. This article, drawing on data from EMI-02,
Externí odkaz:
https://doaj.org/article/6a0865fa00734619aa978e5f5781eca3
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 7490-7500 (2024)
Himawari-8 satellite, equipped with an advanced Himawari imager (AHI), has been widely employed for cloud detection tasks due to its high-spatiotemporal resolution. In this article, we propose a deep learning model named dual-branch deformable convol
Externí odkaz:
https://doaj.org/article/c093967ab87a4df4a879f6ad4f32d7d9
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2487 (2024)
Long-term (1982–2019) satellite climate data records (CDRs) of aerosols and clouds, reanalysis data of meteorological fields, and machine learning techniques are used to study the aerosol effect on deep convective clouds (DCCs) over the global ocea
Externí odkaz:
https://doaj.org/article/700b72257d864354a929fb86638faf38
Autor:
Jie Zhang, Mingyuan He
Publikováno v:
Remote Sensing, Vol 16, Iss 12, p 2070 (2024)
This study introduces an advanced ensemble methodology employing lightweight neural network models for identifying severe convective clouds from FY-4B geostationary meteorological satellite imagery. We have constructed a FY-4B based severe convective
Externí odkaz:
https://doaj.org/article/3fef0ff5c3674f07b48d4b88ed8cbe4f
Publikováno v:
Jurnal Fisika, Vol 12, Iss 2, Pp 42-54 (2022)
Wilayah Papua merupakan wilayah yang topografinya didominasi dengan gunung dan bukit serta dikelilingi oleh lautan. Oleh karena itu menghasilkan penguapan yang cukup besar. Penguapan memiliki pengaruh terhadap kondisi cuaca, terutama dalam pembentuka
Externí odkaz:
https://doaj.org/article/2907307f8821496286508f18c73b3af1
Publikováno v:
Atmosphere, Vol 15, Iss 3, p 243 (2024)
Severe convection is a disastrous mesoscale weather system. The early detection of such systems is very important for saving peoples’ lives and properties. Previous studies address the issue mainly based on thresholding methods, which are not robus
Externí odkaz:
https://doaj.org/article/8201a65e5be14972894ce938e2edb6f9
Autor:
Lan Xu, Tao Chen, Juanjuan Liu, Shenming Fu, Wei Cheng, Hongbo Liu, Bing Lu, Yujun He, Shujun Zhu, Yiran Liu, Xiao Shen, Bin Wang
Publikováno v:
Remote Sensing, Vol 16, Iss 2, p 280 (2024)
From 17 to 22 July 2021, the “21·7” extreme rainfall event (“21·7” ERE) hit Henan Province, breaking the record for mainland China with a maximum hourly rainfall of 201.9 mm at the Zhengzhou station. The long-lived (20 h) mesoscale Huang-Hu
Externí odkaz:
https://doaj.org/article/deac2112d238407d98bc6e6ebd69a05d
Publikováno v:
Remote Sensing, Vol 15, Iss 18, p 4612 (2023)
Severe convective weather is hugely destructive, causing significant loss of life and social and economic infrastructure. Based on the U-Net network with the attention mechanism, the recurrent convolution, and the residual module, a new model is prop
Externí odkaz:
https://doaj.org/article/7f1029db9f18490bb560fe242e07df24
Autor:
Tran Vu La, Christophe Messager
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 3686-3696 (2022)
Strong ocean surface mean and gust winds associated with deep convection can cause significant damages. It is hard to estimate surface convective wind gusts since they may occur suddenly and become intense quickly. This problem is even more challengi
Externí odkaz:
https://doaj.org/article/2b09eb2c1678414786ca562845be8ce2
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