import cdsapi from subprocess import call def idmDownloader(task_url, folder_path, file_name): """ IDM下载器 :param task_url: 下载任务地址 :param folder_path: 存放文件夹 :param file_name: 文件名 :return: """ # IDM安装目录 idm_engine = r"E:\app\Internet Download Manager\IDMan.exe"...
NOTE: For ERA users, please use the login information provided by your organization. Should you encounter any issues, kindly consult with your company IT department or lodge a response in the download feedback section. Version History 30 Mar 2023 ...
Download and Play Among Us on PC for Free Game News September 11, 2024 Mobile Legends 8th Anniversary Event to offer free skins, emotes and more Game News January 29, 2024 Mobile Legends February 2024 Leaks: Revamp Aurora, AoT collab, other events and more Game News August 25, 2023 ...
Download Share EN zip PCB Footprints and Symbols - BTT6030-2ERA - PROFET+ 24V - Eagle 01_00 | 2019-09-04 | 2 KB Download Share EN Simulation Models zip BTT6030-2ERA LTspice model 01_00 | 2023-02-16 | 903 KB Download Share ...
接下来,我们回到刚刚的数据首页中,选择“Download data”选项;如下图所示。随后,选择当前数据产品对应的产品类型,一般情况下,我们选择第一个,也就是“Reanalysis”选项就可以。 随后,选择我们需要的气象数据指标;可以在“Popular”这一栏选择用户常用的热门指标,也可以自己依据需要在下面的类别中搜索。如...
At Ignite 2023 Microsoft Copilot is grabbing all the headlines. So of course, whether or not you’re a developer in the Microsoft 365 developer community, we’re very excited to announce thatorganizations with Microsoft 365 can now opt-into the public preview of plugin extensibility! This...
接下来,我们回到刚刚的数据首页中,选择“Download data”选项;如下图所示。随后,选择当前数据产品对应的产品类型,一般情况下,我们选择第一个,也就是“Reanalysis”选项就可以。 随后,选择我们需要的气象数据指标;可以在“Popular”这一栏选择用户常用的热门指标,也可以自己依据需要在下面的类别中搜索。如...
接下来,我们回到刚刚的数据首页中,选择“Download data”选项;如下图所示。随后,选择当前数据产品对应的产品类型,一般情况下,我们选择第一个,也就是“Reanalysis”选项就可以。 随后,选择我们需要的气象数据指标;可以在“Popular”这一栏选择用户常用的热门指标,也可以自己依据需要在下面的类别中...
Client() dic = { 'product_type': 'monthly_averaged_reanalysis', 'variable': 'total_precipitation', 'year': [], 'month': [], 'time': '00:00', 'area': [60, 70, 0,140,], 'format': 'netcdf' } for y in range (1950,2023): for m in range (1,13): dic['year'] = str...
download_time=datetime(2023, 7, 10, 0, 0), span=72, interval=6, extent=[0, 100, 40, 140], ) c.retrieve() surface_file = Path(self.output).joinpath("surface.nc") upper_file = Path(self.output).joinpath("upper.nc") self.assertTrue(surface_file.exists()) self.assertTrue(upper...