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每个月平均雷雨天

我怎么能找到与雷暴天数平均每月在美国不同的城市吗?我在做一个研究项目,我需要找到一些链接,告诉我每个月的平均雷暴天数为不同的城市在美国。

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我也不知道任何直接来源。所以你可能会有点麻烦。——将提供,你可以一起工作气候学FP6月报使用所需的情况下从站点(单击办公室在https://sercc.com/nowdata.html,然后切换到观察天气,然后选择飞机,选择站点,然后注明你想要的月报告……在这些报道任何日期3 WX列有雷…然后你就可以和他们许多报道做出气候学……耗费时间,但我做过类似的。几个网站是可行的,但残酷的对许多没有自动化的过程),但它看起来像爱荷华州的IEM ADP来自更健壮、更合理的工作需要完成在一起…使用选项(ADP # 87)[1],选择感兴趣的州/国家,那么城市你想要的数据(您可能希望进一步调查的官方观察网站是什么城市你想)……确保你有雷声的代码的选择,并选择一天集团的年。选择你的年{你可能想要跳过第一和当年为了更好的希望约等于数据集在一年的每一天… you also may want to avoid going back too far in time, as it looks like records may have been less complete back towards the 1950s and earlier}, then make the plot with options. It'll produce a nice graphic which you may find useful. If you want precise numbers, you can reasonably make the true climatology by clicking download as Excel below the plot. (If anyone reading happens to be a little unfamiliar with Excel {Open Office likely would work fairly similar?}... I can try to run you through the remaining process I used for this graphic: [select the day and year columns together][2], then [filter out duplicates][3], then [make a Pivot Table][4] in a new sheet with doy as Row Label and count of year as Σ values. [After one mistake in reading][5], I realized you wanted monthly data... from here there may be [easier ways to do the rest][6], but using my old Office 2007 and somewhat limited skill, I pushed through to get all dates summed by writing the formula > =ROW()-3 in cell D4 and > =IFERROR(GETPIVOTDATA("year",\$A$3,"doy",ROW()-3),0) in cell E4. Then expanded those cell formulas downward to row 369 (so 366 days were covered). Then I typed the month names in F4-F15 and the formulas > =SUM(E4:E34)/50 > =SUM(E35:E63)/50 > =SUM(E64:E94)/50 > =SUM(E95:E124)/50 > =SUM(E125:E155)/50 > =SUM(E156:E185)/50 > =SUM(E186:E216)/50 > =SUM(E217:E247)/50 > =SUM(E248:E277)/50 > =SUM(E278:E308)/50 > =SUM(E309:E338)/50 > =SUM(E339:E369)/50 in G4-G15. Select the F and G columns, add a bar graph from that, add a title, and I had: [![enter image description here][7]][7] It's certainly not readymade :-( But it does at least seem a way you could possibly produce enough climatologies in reasonable time to get a rough idea of the country (or other parts of the world?)? Hope you/others can find something that is already completed, but if not, hopefully this offers something a bit useful. (Those looking to go all-out nuts and make a full dataset could download full ASOS data from [Iowa State][8] or [NCDC][9] and put together a detailed script to pull out the pieces needed. Feel free to share the data here if you do!) [1]: https://mesonet.agron.iastate.edu/plotting/auto/?q=87 [2]: https://excel.officetuts.net/en/examples/select-multiple-columns-in-excel [3]: https://stackoverflow.com/questions/30501104/removing-duplicates-in-excel [4]: https://support.office.com/en-us/article/count-how-often-a-value-occurs-aa1f3067-05c9-44e4-b141-f75bb9bb89bd [5]: https://i.stack.imgur.com/pnlRh.png [6]: https://support.office.com/en-us/article/group-or-ungroup-data-in-a-pivottable-c9d1ddd0-6580-47d1-82bc-c84a5a340725 [7]: https://i.stack.imgur.com/K6QbC.png [8]: https://mesonet.agron.iastate.edu/request/download.phtml [9]: https://www.ncdc.noaa.gov/data-access/land-based-station-data/land-based-datasets/automated-surface-observing-system-asos

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