Amazing! thank you so much, it's been so helpful, I was going nuts trying to figure out what netCDF data was and you explained it a simple way :), and also I am able to get the precipitation data I was trying to get, Ihope you post more videos, you have a follower here!
Hi, it was really useful. let know if we have more than one coordinate point for example 10 coordinate points, in this case how we can extract value for these 10 points all in one table?
Dear Kim, I'm trying to reshape my netcdf data. I have netcdf data set and several polygons shape files. And what I need is to extract the minumun and maximun values of each polygon. Maybe you colud give some advice on how to proceed. Thank you very much for all the videos!
Thank you very much for sharing this great presentation. But, I think the extracted data is only for one point location not a coordinated area such as catchment area. Is that right???
Dear Kim thanks for everything you clearly share with us. I followed you step by step but at the end when I want to write the data on csv file, I make a new dataframe with cbind(tnew,tmp.sliceC), unfortunately the data did not save in day/month/year format and I have unreadable ex array...would you please explain how I can figure it out?
Well documented and clearly explained video on nc data extraction using R studio. I request you please make a video on basin wise data extraction suppose lat(27,32) and long(77,78) and convert the subset data into CSV file using Rstudio.
www.imdpune.gov.in/Clim_Pred_LRF_New/Grided_Data_Download.html I have attached indian subcontinent IMD daily Rainfall nc data. Please download one single nc file and extract the daily Rainfall between lat(27,32) and long(76,78) and convert it into CSV file.
I'm currently dealing with 21 years of daily precipitation data (each day has its own nc file...arrrghh!), but for now I am just using one file to practice. My data is 1440 by 400 (lat,lon) but I only want 100x240 (continental US, lat,lon). I noticed you type down the longitude first and then latitude. Does the order matter in which we type the lat,lon? Thanks in advance! You've given me hope in starting my thesis!
Thank you so much for this amazing series of videos; they are so informative and helpful!! Though, If I may, I would like to ask you a question, as there is a part that remains unclear to me. There is an additional option entitled "domain" in the CORDEX filter options, which does not appear in your first video (How to download climate model projection data). This option allows you to chose the spatial resolution of your data. There are two main choices 11-degree and 44-degree resolution, which correspond to grids of approximately 12 km and 50 km resolution. In my mind, the downloaded data (tasmax in this case) could be selected for a 12 by 12 km or 50 by 50 km region. However, in the end of this video you seem to select data for a specific location (33.75, 54.375). As far as I understand, this should be done by downscaling and not directly from a Regional Climate Model, such as CORDEX. Could you please kindly clarify this? Please forgive any ignorance on my part. I am new at this and I am just trying to understand. Best Regards, Kostas
Hello! Thanks for your comment. I was not familiar with the CORDEX filter options. It sounds like it would be very useful and I'll definitely take a look.
As I have said before, very helpful series of videos! I was wondering if you could help me with a minor error. tyear=as.integer(unlist(tdstr)[1]) command returns Warning message: NAs introduced by coercion Hence, tnew command results in Error in if (all(origin. == 0)) shift
hello, this was very very helpful cant thank you enough, I have a question, if I downloaded an hourly data, which number should I divide it on, I saw here you divide your time on 12 because it is a monthly data, what about another unit, what is the concept behind it? thank you for your great and easy tutorial
Dearest Kim, i wish you a very healthy and successful life, you did this in a very nice explanation. thank you thank you so much.
thanks buddy! Good luck on your assignment.
Amazing! thank you so much, it's been so helpful, I was going nuts trying to figure out what netCDF data was and you explained it a simple way :), and also I am able to get the precipitation data I was trying to get, Ihope you post more videos, you have a follower here!
Hi, it was really useful. let know if we have more than one coordinate point for example 10 coordinate points, in this case how we can extract value for these 10 points all in one table?
This is a longshot I know, but did you figure that out eventually and still remember how you did that by any chance? 😅😅
Dear Kim, I'm trying to reshape my netcdf data. I have netcdf data set and several polygons shape files. And what I need is to extract the minumun and maximun values of each polygon. Maybe you colud give some advice on how to proceed. Thank you very much for all the videos!
Thank you very much for sharing this great presentation. But, I think the extracted data is only for one point location not a coordinated area such as catchment area. Is that right???
Hi yes, the extracted data is for specific coordinates (point locations).
You are a life saver. thanks
Dear Kim thanks for everything you clearly share with us. I followed you step by step but at the end when I want to write the data on csv file, I make a new dataframe with cbind(tnew,tmp.sliceC), unfortunately the data did not save in day/month/year format and I have unreadable ex array...would you please explain how I can figure it out?
Well documented and clearly explained video on nc data extraction using R studio. I request you please make a video on basin wise data extraction suppose lat(27,32) and long(77,78) and convert the subset data into CSV file using Rstudio.
www.imdpune.gov.in/Clim_Pred_LRF_New/Grided_Data_Download.html
I have attached indian subcontinent IMD daily Rainfall nc data. Please download one single nc file and extract the daily Rainfall between lat(27,32) and long(76,78) and convert it into CSV file.
I'm currently dealing with 21 years of daily precipitation data (each day has its own nc file...arrrghh!), but for now I am just using one file to practice. My data is 1440 by 400 (lat,lon) but I only want 100x240 (continental US, lat,lon). I noticed you type down the longitude first and then latitude. Does the order matter in which we type the lat,lon? Thanks in advance! You've given me hope in starting my thesis!
Thank you so much for this amazing series of videos; they are so informative and helpful!!
Though, If I may, I would like to ask you a question, as there is a part that remains unclear to me. There is an additional option entitled "domain" in the CORDEX filter options, which does not appear in your first video (How to download climate model projection data). This option allows you to chose the spatial resolution of your data. There are two main choices 11-degree and 44-degree resolution, which correspond to grids of approximately 12 km and 50 km resolution. In my mind, the downloaded data (tasmax in this case) could be selected for a 12 by 12 km or 50 by 50 km region. However, in the end of this video you seem to select data for a specific location (33.75, 54.375). As far as I understand, this should be done by downscaling and not directly from a Regional Climate Model, such as CORDEX.
Could you please kindly clarify this?
Please forgive any ignorance on my part. I am new at this and I am just trying to understand.
Best Regards,
Kostas
Hello! Thanks for your comment. I was not familiar with the CORDEX filter options. It sounds like it would be very useful and I'll definitely take a look.
As I have said before, very helpful series of videos!
I was wondering if you could help me with a minor error.
tyear=as.integer(unlist(tdstr)[1]) command returns
Warning message:
NAs introduced by coercion
Hence,
tnew command results in
Error in if (all(origin. == 0)) shift
hello, this was very very helpful cant thank you enough, I have a question, if I downloaded an hourly data, which number should I divide it on, I saw here you divide your time on 12 because it is a monthly data, what about another unit, what is the concept behind it? thank you for your great and easy tutorial
hey! so it depends on what you're trying to do. With hourly data you could aggregate to days (24 hours), weeks, or months and so on
Hi /
Thanks for your great lectures
How to draw four models with scenario of temperature with high and low probability
Good stuff 👌🏻
pl provide the codes in description
my data is hourly, how to make new time
pleas make a video on that
Thank you. Please share script.
please upload in matlab