和标题差不多。对于我的工作，我需要历史(至少从2010年开始)，大气天气数据(主要是2米的温度，风速和方向，湿度分别露点，没什么花哨的)在小时频率和ERA5提供全球，并通过免费API访问方便。< / p >

But I'd like to concentrate on areas with high population density (basically large cities) and I'm a bit afraid, that the ~30km grid of ERA5 is a bit too coarse to capture that accurately, especially for cities with a very high population density in a smaller area, as it is often the case for old European cities.

Does anyone know a data source that can offer this weather data on a higher resolution grid (10km, 5km, ...?) but with otherwise similar features as the ERA5 data (variables, frequency, access, ...)?

Degrees of Freedom: I'm fine if the coverage would be restricted to urban centers, I'm not interested in rural areas. Equally, if such data would only be available in parts of the world (e.g. only Europe or only North America), that would be acceptable if not ideal.

Restrictions: However, I'm not interested in just a collection of 'local' weather stations because I need to avoid any bias from any uncorrected measurements below blending height. I do not have the capability to do such corrections myself and due to the nature of my work I need a 'synoptic' base for my data. For example wind velocity at 10m should be provided in a similar fashion as by ERA5: with a roughness factor of grass, since I'd like to introduce my own surface parameters instead. (Ref: https://confluence.ecmwf.int/display/FUG/9.3+Surface+Wind)

Possible Workaround: Im not very well versed in ERA5 data (not meteorologist by training), so there might be a way to extract this data from the model by accessing sub-grid information in some way?

Currently I'm using code like this to grab my data:

... cdsclientrequest.retrieve( 'reanalysis-era5-single-levels', { 'product_type': 'reanalysis', 'format': 'grib', 'variable': climatevars, 'area': bbox.bbox, 'year': year, 'month': month, 'day': times.day, 'time': times.time, }, filepath) ... 

I hope this makes sense, if not please ask! I'm thankful for any tips!