Git Product home page Git Product logo

Comments (2)

bennyistanto avatar bennyistanto commented on June 24, 2024 1

The idea of this approach is to get more frequent monitoring for SPI 1 - 72, and updated every dekad. To answer your question why we need to extract dekad data into separate files, see below illustration.
Screen Shot 2020-11-30 at 8 41 26 AM

SPI script will read the netcdf input file based on time dimension. It means if we leave the data as is (without extracting) and would like to calculate SPI3, then the script will use data: Jan 2020 D3, Feb 2020 D1, Feb 2020 D2 (see row 13 column DEF on above picture), and this is not correct. I hope its clear now.

Well if you are confused with my approach using dekad data, maybe you could try using monthly data - https://data.chc.ucsb.edu/products/CHIRPS-2.0/global_monthly/netcdf/chirps-v2.0.monthly.nc and skip step 3.5 and 3.7.

from spi.

SaumikMallik avatar SaumikMallik commented on June 24, 2024

Thank you for explaining the process so well! This is a much improved approach than the ARSET one.

from spi.

Related Issues (3)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.