* *请求帮助* *有人知道如果[MERRA2][1]包含每小时全球水平照度(GHI)数据,或其他测量,我们可以使用它来计算全球健康行动计划?,如果是这样,你能让我知道吗?* *背景* *我试图使用[PVLib图书馆][2]在python中计算估计各种太阳能农场在世界各地的太阳能发电。PVLib估计全球健康行动计划,可以直接正常发光(DNI)和扩散水平照度(济),但是我希望能带来实际的数据。* * * *的研究和自己的发现我使用MERRA-2数据之前源温度和风速每小时。所以我就先来寻找GHI数据。我虽然(GES光盘目录)[3]为各种MERRA2再分析文件。我发现M2T1NXRAD(发现[这][4]),认为因为它包含辐射数据,它将包含全球健康行动计划,但我没有看到任何看起来像酥油在字段列表中(发现[这][5])。我确实发现“表面事件短波通量(SWGDN)”,但我不是气象学家,不知道这和全球健康行动计划有关,或者甚至可以转化为全球健康行动计划?浏览互联网,它看起来像有一些关系SWGDN和全球健康行动计划。 I've seen many publications allude to it (such as [here][6] and [here][7]) but I wasn't able to figure out how they are calculating it. an extract from the above article states > MERRA-2 uses the Goddard Earth Observing System version 5 > (GEOS-5) atmospheric model and data assimilation system (DAS). The > dataset offers two-dimensional diagnostics of surface fluxes, single > level meteorology, vertical integrals and land states, generated at 1 > hourly, 3 hourly, daily and monthly intervals. This paper utilises the > surface incident shortwave flux (SWGDN) from the single-level > diagnostic tavgM_2d_rad_Nx data product averaged over a monthly > interval (NASA 2017). But it doesn't say how to convert SWGDN to GHI? if anyone knows how these two measures relate to one another, I would love an explanation! [1]: https://gmao.gsfc.nasa.gov/reanalysis/MERRA-2/ [2]: https://pvlib-python.readthedocs.io/en/stable/ [3]: https://disc.gsfc.nasa.gov/ [4]: https://disc.gsfc.nasa.gov/datasets/M2T1NXRAD_5.12.4/summary?keywords=%22MERRA-2%22 [5]: https://gmao.gsfc.nasa.gov/pubs/docs/Bosilovich785.pdf [6]: https://www.researchgate.net/figure/and-Figure-3-confirm-that-MERRA-2-primarily-overestimates-annual-GHI-on-the-order-of-4_fig3_329642180 [7]: https://www.researchgate.net/publication/331392320_Evaluation_of_Solar_Radiation_from_MERRA_MERRA-2_ERA-Interim_and_CFSR_Reanalysis_Datasets_Against_Surface_Observations_for_Multan_Pakistan