哪里有温度探测模型预测数据?- 江南体育网页版- - - - -地球科学堆江南电子竞技平台栈交换

哪里有温度探测模型预测数据?

2019 - 12 - 03 - t02:14:30z

我想知道当前的递减率对于一个给定的点。换句话说,我想要“活”在不同海拔温度数据。生活是灵活的,我一般好与预测是有效的当前时间点。我在哪里可以得到这些数据,最好的格式很容易摄取到Python吗? < >强更多细节:< /强> 我现在使用失效速率常数来估计温度在不同的海拔,但想用更复杂的东西。我是一名飞行员,所以我最初想到使用临时工,高空风产品,然后插值零星的站点之间,但后来我发现< a href = " https://rucsoundings.noaa.gov/ " rel = " noreferrer " >模型在美国国家海洋和大气管理局的网站< / >。但是: < ol > <李> 我不清楚哪一个是最适合我的用例。Op40似乎是一个不错的违约。但< a href = " https://rapidrefresh.noaa.gov/hrrr/ " rel = " noreferrer " > < / > HRRR模型似乎更好,特别是由于更高的分辨率。李李 < / > < > 我不知道原始数据的格式,我可以使用。 If, e.g., I create an interactive skew plot for Op40 on the NOAA site, I can then click the Get Text button and get the type of info I'm interested in:

But if I choose the ASCII Text on the first page I get a GSD file which doesn't seem to follow NOAA's own file format. And it looks like HRRR comes in a grib2 format, which also doesn't seem to be as simple as lat/lon,altitude,temp. It seems like these files provide something more raw which then needs to be simulated against to get the temps? I found some python libraries, but could use a pointer on the approach I need to take.

回答的呼呼声,得到温度探测模型预测数据?

2019 - 12 - 03 - t07:30:44z

GSD文件只是一个文本文件(ASCII),你可以阅读几乎任何你想要的。因为你是使用python我建议看熊猫和特别是< a href = " https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_csv.html " rel = " nofollow noreferrer " >熊猫。read_csv < / >功能。

I am using this URL as an example now: https://rucsoundings.noaa.gov/get_soundings.cgi?data_source=Op40&latest=latest&start_year=2019&start_month_name=Dec&start_mday=3&start_hour=7&start_min=0&n_hrs=1.0&fcst_len=shortest&airport=50%2C-90&text=Ascii%20text%20%28GSD%20format%29&hydrometeors=false&start=latest

From the ruc soundings you referred to. Here I just entered lat=50 and lon=-90 to pick something. You see this in the URL in "airport=". You can download the data you need with wget or curl and put into a file with a better name (sounding.txt) like this:

wget "https://rucsoundings.noaa.gov/get_soundings.cgi?data_source=Op40&latest=latest&start_year=2019&start_month_name=Dec&start_mday=3&start_hour=7&start_min=0&n_hrs=1.0&fcst_len=shortest&airport=50%2C-90&text=Ascii%20text%20%28GSD%20format%29&hydrometeors=false&start=latest" -O sounding.txt

Then you can write a small python program to fetch the data you need and read the data with pandas.

I also want to note that if you are going to use grib2 you will be able to easily change the model since grib2 is a standard format for NWP data. This will be a little more complicated, as it is a bit more tricky to read. grib2 is a binary format that is very good for storing large datasets. I refer to eccodes from ECMWF if you want to look more into this.

回答的让-玛丽•Prival哪里有温度探测模型预测数据?

2019 - 12 - 09 - t17:06:38z

从我所看到的,因为某些原因的德牧的t / td列分割成两个独立的列,并乘以10的温度。为什么?也许去掉小数点……所以当你看到一个值& lt;-500其实& lt;-50°C。 < a href = " https://i.stack.imgur.com/HWgMo.png " rel = " nofollow noreferrer " > < img src = " https://i.stack.imgur.com/HWgMo.png " alt = "比较德牧和& # 39;得到文本# 39;”> < / > 其他变化: -压力和高度被调包。 -压力也被乘以10,所以它不是在毫巴但decapascals…… -高度已经从脚转换(得到文本的版本)米(德牧)。 总而言之,这里是德牧的推断列标题: <强> | 2压力(daPa) | 3高度(米)| 4 t (d°C = decidegree摄氏)| 5 td (d°C) | < /强> 我不知道“99999”的温度线出现在德牧…… 希望你能做出这个!