orange-Nan / Boboshubao
气象&海洋数据分析与可视化
☆76Updated last year
Alternatives and similar repositories for Boboshubao:
Users that are interested in Boboshubao are comparing it to the libraries listed below
- 提供气象绘图功能函数, 包括颜色表处理, 屏蔽区域, 添加地图边界, 绘制天气分析图等.☆63Updated last year
- 读取FY4A的所有产品☆33Updated 3 years ago
- OLDLee的Python气象应用私教课☆68Updated 3 years ago
- 卫星遥感-数据处理、分析与反演-Python实现☆23Updated 5 years ago
- python programming for geospatial data processing, analysis and visualization☆64Updated 4 years ago
- 基于python\numpy\pandas\xarray\matplotlib\cartopy\metpy的气象数据处理、程序设计及绘图☆18Updated 3 years ago
- Visualize Himawari-8 satellite data☆15Updated 2 years ago
- 用python的netCDF4库处理nc数据,并用basemap绘图☆29Updated 6 years ago
- 提供一些关于气象应用开发的基础功能函数,包括数组处理、数学函数、物理常数、时间处理、客观分析等模块。☆51Updated last month
- ☆42Updated 4 years ago
- Validation of the Pangu Weather Forecasting Model against Real-World Meteorological Observations☆70Updated last year
- Code for paper "Thunderstorm nowcasting with deep learning: a multi-hazard data fusion model"☆32Updated 2 years ago
- 地理信息系统与遥感应用课程资源☆21Updated 4 years ago
- plot function by Longhao Wang☆33Updated last year
- 【李华的研究室】系列相关代码☆36Updated last year
- 气象数据预测☆38Updated 5 years ago
- This is a python code repository☆25Updated 3 years ago
- 批量下载Sentinel数据脚本2023☆42Updated last month
- Sample data, maps, etc.☆12Updated 11 months ago
- 提供气象诊断分析程序,包括动力, 热力, 水汽和天气特征分析等。☆17Updated 4 years ago
- 处理气象数据(nc文件)☆29Updated 7 years ago
- NOAA - Weather Analysis☆44Updated 6 years ago
- 读取CMA SA 雷达基数据文件&&球坐标转空间直角坐标☆38Updated 9 years ago
- Remote Sensing Image Processing;IDL☆16Updated 7 years ago
- Hybrid physical-ML models (source code of "Soil Moisture Forecasting integrating Physical-based Model with Deep Learning", Advanced in A…☆15Updated last year
- Decode micaps mdfs data☆34Updated 2 years ago
- The application of Python in atmospheric and oceanic science / Python 在大气海洋中的应用☆16Updated 3 years ago
- 基于Transformer的雷达回波外推用于近期降水预测的研究☆17Updated last year
- 用来存放公众号的一些源代码☆43Updated this week
- Local climate zone classification using a multi-scale, multi-level attention network (ISPRS J)☆25Updated last year