noaa | PHP client library for NOAA 's forecast and current weather | REST library

I would like to access several MODIS products through OPeNDAP as an xarray.Dataset, for example the MOD13Q1 tiles found here. However I'm running into some problems, which I think are somehow related to the authentication. For data sources that do not require authentication, things work fine. For example:

I have csv data that looks like this and I'm trying to read it into a pandas df and I've tired all sorts of combinations given the ample documentation online - I've tried things like:

I am trying to write a program that gets all the links on webpage, even from sub-directories. I have this working with the requests package, but it is slow when you have to get links from a lot of sub-directories. Here is my working code that takes about 4 minutes to gather all the links from https://www.ncei.noaa.gov/data/sea-surface-temperature-optimum-interpolation/v2.1/access/avhrr/.

I'm trying to use the MATLAB FTP functionality to access files on my Box account. I usually deal with my box files manually via the Box web platform or through FileZilla, both without issue. However, I'm now trying to automate this process with Matlab and have seemingly fallen at the first hurdle.

Going by the MATLAB FTP documentation (link) I unsuccessfully tried to set up a ftp object for my Box address: (Note, I went through the example in that documentation without issue)

I'm trying to grab snowfall data from the National Weather Service at this site:

https://www.nohrsc.noaa.gov/snowfall/

The data can be downloaded via the webpage with a 'click' on the file type in the drop down, but I can't seem to figure out how to automate this using python. They have an ftp archive, but it requires a login and I can't access it for some reason.

However, since the files can be downloaded via a "click" on the webpage interface, I imagine there must be a way to grab it using wget or urlopen? But I can't seem to figure out what the exact url address would be in this case in order to use those functions. Does anyone have any ideas on how to download this data straight from the website listed above?

Thanks!

I would like to download a grib2 file data in a range, as done in this Python notebook: https://nbviewer.org/github/microsoft/AIforEarthDataSets/blob/main/data/noaa-hrrr.ipynb (see cell 5)

I have tried the following code, but it seems to download the whole GRIB file instead of the range:

I am trying to access the following http directory of weather data using the RCurl package in R:

http://ncei.noaa.gov/data/global-summary-of-the-day/access/

within each directory for each year is a unique list of weather stations.

I can access any specific dataset like this

Hello I am using the following code at the bottom to extract countries from coordinates. Please see the following url which provides a more detailed explanation of the code: Extracting countries from NetCDF data using geopandas.

My main variable/value is the monthly mean pdsi value from: https://psl.noaa.gov/data/gridded/data.pdsi.html. The image below represents a portion of the visualization created by the code below. The shaded squares represent the spatial regions of pdsi values, which is overlapping a shapefile of the world.

From the image of Belgium, you can see that the 4 squares that touch the land area of Belgium are also touching other countries. If I attribute the base values to the Belgium, I believe this overestimates the mean pdsi values. Especially when considering the bottom two squares barely touch Belgium, the weight of these values when calculating the mean should be significantly lower. Thus, is there a way to incorporate some sort of weighted average where the area of each square within a country can be used as the weight to adjust each pdsi value? Additionally, I would like to standardize this process not only for Belgium, but for all countries as well.

Any help would be greatly appreciated!

I am trying to extract countries from NetCDF3 data using the pdsi monthly mean calibrate data from: https://psl.noaa.gov/data/gridded/data.pdsi.html. I am using the following code which performs a spatial merge of coordinates and identifies countries based on a shapefile of the world.

PDSI data format