Tcdata.typhoon.org.cn

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IP address139.196.15.149
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We found Websites Listing below when search with tcdata.typhoon.org.cn on Search Engine

中国台风网

热带气旋年鉴. 受中国气象局委托,在全国各级气象台站的支持下,上海台风研究所按照《台风业务和服务规定》,在每年热带气旋季节过后根据所收集到的常规和非常规气象观测资料,对当年的热带气旋相关资料进行整编,并出版《热带气旋年鉴》。. ESCAP/WMO ...

Typhoon.org.cn

DA: 18 PA: 18 MOZ Rank: 19

QAQMeow/Typyhoon-predicton-base-on-LSTM - GitHub

方泽华 中山大学大气科学学院应用气象专业2020毕业论文( 台风英语写错了 (lll¬ω¬) ) 数据来源. CMA热带气旋最佳路径数据集(tcdata.typhoon.org.cn),下载版本的CMA热带气旋最佳路径数据集提供1949-2018年西北太平洋(含南海,赤道以北,东经180°以西)海域热带气旋每6小时的 …

Github.com

DA: 10 PA: 40 MOZ Rank: 51

Summaries of the four available TC best-track datasets for …

The detailed specification of the CMA-STI Best Track Dataset can be referred to in the work of Ying et al. [30] and the dataset can be obtained from the website (www.typhoon.gov.cn, accessed on 1 ...

Researchgate.net

DA: 20 PA: 50 MOZ Rank: 48

干货分享丨 GIS如何分析台风影响范围和受灾人数_数据

台风数据表格. 拿到台风数据表格,我们可以发现,这个表格中给出了时间、经纬度、风圈半径,基于此,我们就可以计算影响范围。. 得到了台风影响范围,我们就可以结合人口密度数据计算受台风影响的人数了。. 我们需要再收集整理一份人口密度数据 ...

Sohu.com

DA: 12 PA: 22 MOZ Rank: 37

NCL绘制台风路径-百度经验 - Baidu

台风路径数据下载. 中国气象局热带气旋资料中心(http://tcdata.typhoon.gov.cn/zjljsjj_sm.html) 资料说明和资料下载如图

Jingyan.baidu.com

DA: 17 PA: 38 MOZ Rank: 59

Python绘制台风轨迹图 - Heywhale.com

1.4 nhc:国家飓风中心,国家海洋和大气管理局。

Heywhale.com

DA: 16 PA: 36 MOZ Rank: 57

气象数据可视化——台风路径图 - Heywhale.com

In [1]: # 导入模块 import os import pandas as pd import shapely.geometry as sgeom import matplotlib.pyplot as plt from matplotlib.image import imread from matplotlib.animation import FuncAnimation import matplotlib.lines as mlines import cartopy.crs as ccrs import cartopy.feature as cfeat from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, …

Heywhale.com

DA: 16 PA: 37 MOZ Rank: 59

2019年西北太平洋热带气旋最佳路径发布 - 台风新闻 - 中国台风网

中国台风网(http: tcdata typhoon org cn )于近日正式发布2019年西北太平洋热带气旋最佳路径数据集(以下简称最佳路径数据集)。据统计

Typhoon.org.cn

DA: 18 PA: 28 MOZ Rank: 53

中国历年台风最佳路径数据_腾讯新闻

中国历年台风最佳路径数据. 数据形式为txt格式,每一个文件代表一年。. 现行版本的CMA热带气旋最佳路径数据集提供1949以来年西北太平洋(含南海,赤道以北,东经180°以西)海域热带气旋每6小时的位置和强度,按年份分别放在单独的文本文件中,以后将逐年 ...

New.qq.com

DA: 10 PA: 35 MOZ Rank: 53

Influence of Typhoons on Chemical Makeup of Rainwater in …

Fig. 1.Zhanjiang (black dot) sampling site and the typhoon paths from 2015 to 2018 (https://tcdata.typhoon.org.cn). 2015 to that of 16.46 × 109 kW h in 2017 (Chen et al., 2019). Furthermore, the area dedicated to construction in Zhanjiang also rose rapidly from 1938 × 104 m2 in 2010 to 5243 × 104 m2 in 2019,

Aaqr.org

DA: 8 PA: 32 MOZ Rank: 49

(PDF) An Overview of the China Meteorological ... - ResearchGate

The China Meteorological Administration (CMA)'s tropical cyclone (TC) database includes not only the best-track dataset but also TC-induced wind and precipitation data. This article summarizes the ...

Researchgate.net

DA: 20 PA: 50 MOZ Rank: 40

西北太平洋热带气旋时空分布特征分析 - Heywhale.com

西北太平洋是全球主要的热带气旋生成区,生成的热带气旋约占全球总数的36%,在其海面上生成的热带气旋个数约占全球热带气旋生成总数的1/3。. 据统计,每年在西北太平洋及南海海域约生成热带气旋27个。. 其中,约有16 个热带气旋对中国沿海产生显著影响 ...

Heywhale.com

DA: 16 PA: 37 MOZ Rank: 64

Typhoon Risk Perception: A Case Study of Typhoon Lekima in China

Typhoon Lekima of 2019 as an example, we found that: (1) Typhoon Lekima-related Weibo public attention changed in accordance with the evolution of the typhoon track and the number of Weibo posts shows a significantly positive cor-relation with disaster losses, while socioeconomic factors, including population, gross domestic product, and land

Link.springer.com

DA: 17 PA: 43 MOZ Rank: 72

Typhoon Risk Perception: A Case Study of Typhoon Lekima in China

The typhoon is one major threat to human societies and natural ecosystems, and its risk perception is crucial for contextualizing and managing disaster risks in different social settings. Social media data are a new data source for studying risk perception, because such data are timely, widely distributed, and sensitive to emergencies. However, few studies have …

Link.springer.com

DA: 17 PA: 35 MOZ Rank: 65

基于python的台风路径分析 - 简书

基于python的台风路径分析 1、引言. 众所周知,台风是影响我国的气象灾害之一,因为其次生灾害严重程度较其他天气更加明显,一些学者对其路径进行分析。

Jianshu.com

DA: 15 PA: 15 MOZ Rank: 44

Western North Pacific Tropical Cyclone Database Created by

Email: [email protected] Database profile Database title Tropical cyclone database in the western North Pacific Time range TC best track: 1949–2019; TC wind and precipitation: 1949–2018; TC field experiment observations: 2014–2016. Geographical scope TC best track: western North Pacific and South China Sea;

Link.springer.com

DA: 17 PA: 42 MOZ Rank: 74

(a) The track of Typhoon Lekima. Data source: China …

Data source: China Meteorological Administration (CMA) Tropical Cyclone Data Center (tcdata.typhoon.org.cn). (b) The minimum pressure near the …

Researchgate.net

DA: 20 PA: 50 MOZ Rank: 34

Effects of Typhoon Mujigae on the Biogeochemistry and Ecology …

During the super Typhoon Mujigae, a significant biological degradation was found in Zhanjiang Bay, rather than the algal blooms reported by previous studies. Enhanced runoff discharge induced by typhoons and the increased typhoon-driven organic matter could change water statement and contribute to the decomposition of organic matter. In contrast, in situ …

Agupubs.onlinelibrary.wiley.com

DA: 31 PA: 25 MOZ Rank: 73

An Overview of the China Meteorological Administration

E-mail: [email protected] FEBRUARY 2014 YING ET AL. 287 DOI: 10.1175/JTECH-D-12-00119.1 2014 American Meteorological Society. 1993), Dvorak parameters (Nakazawa and Hoshino 2009), storm ...

Researchgate.net

DA: 20 PA: 50 MOZ Rank: 32

Enhanced Turbulent Mixing in the Upper Ocean Induced by Super …

according to the tropical cyclone classification issued by the china meteorological administrationtropical cyclone database ( https://tcdata.typhoon.org.cn/, accessed on 20 april 2021), tcs can be classified into different categories based on the maximum wind speed near the center, i.e., tropical depression (10.8–17.1 m/s), tropical storm …

Mdpi.com

DA: 12 PA: 25 MOZ Rank: 56

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