Automate marine heatwave detection from sea surface temperature data | R

A heatwave event occurs when the temperature exceeds 90 percentile of the historical average for five consecutive days or more. Such an event taking place on the sea is called a marine heatwave. It has been reported to cause coral bleaching where corals suffer and die from continuous heat.
To detect marine heatwave events, continuous multi-temporal temperature data are needed. The data can be obtained from satellite measurement with a thermal sensor onboard or modeling, resulting in gridded/raster sea surface temperature data with spatial dimension. This kind of data is usually stored in a NetCDF or array format which can handle multi-variables and multi-temporal data.
This video demonstrates how to detect marine heatwave events from a time-series sea surface temperature data. A library called 'heatwaveR' (Hobday et al. 2016) was used. More details about the package can be found here: robwschlegel.g...
Code: lynk.id/geogra...
Data: lynk.id/geogra...
If you find this video helpful, kindly like the video, share to your colleagues, and subscribe the channel.
Also watch:
• How to convert spreadsheet to a NetCDF: • Convert time-series da...
• How to merge multiple NetCDF files into one: • Merge multiple NetCDF ...
_______________________________________________________________________________________________
Peristiwa gelombang panas (heatwave) terjadi ketika suhu melebihi 90 persentil dari rata-rata historis selama lima hari berturut-turut atau lebih. Peristiwa yang terjadi di laut disebut gelombang panas laut (marine heatwave). Telah dilaporkan menyebabkan pemutihan karang dimana karang menderita dan mati karena panas yang terus menerus.
Untuk mendeteksi kejadian gelombang panas laut, diperlukan data suhu multitemporal yang berkesinambungan. Data tersebut diperoleh dari pengukuran satelit dengan sensor termal onboard atau pemodelan, sehingga menghasilkan data suhu permukaan laut yang bersifat grid/raster dan berdimensi spasial. Data semacam ini biasanya disimpan dalam format NetCDF atau array yang dapat menangani data multi-variabel dan multi-temporal.
Video ini mendemonstrasikan cara mendeteksi peristiwa gelombang panas laut dari data suhu permukaan laut deret waktu. Perpustakaan yang disebut 'heatwaveR' (Hobday et al. 2016) digunakan. Detail lebih lanjut tentang paket dapat ditemukan di sini: robwschlegel.g...
Kode: lynk.id/geogra...
Data: lynk.id/geogra...
Tonton juga:
• Cara mengonversi spreadsheet ke NetCDF: • Convert time-series da...
• Cara menggabungkan beberapa file NetCDF menjadi satu: • Merge multiple NetCDF ...

[@uma9183]

please provide R scipt for our analysis ???

[@geografif]

The link to the source code is available in the description or here: lynk.id/geografif/jNPv2M1

[@SultanEmajuddinEmaj]

Well done. Can you please share the full code for free via email?
I am a student from Bangladesh.Thanks

[@geografif]

Please follow along the video, thanks