Design a site like this with WordPress.com
Get started

Outreachy global internship

  • Progress

    Original plan :

    • 5-19 Dec (14 days) : Define required data parameters
    • 19 Dec – 5 Jan (17 days) : Document literature search methodology and record new datasets
    • 5-24 Jan (19 days) : Pre-process input data for carbon budget modelling
    • 24 Jan – 12 Feb (19 days) : Conduct forest carbon simulations
    • 12 Feb – 3 Mar (19 days) : Document results and publish a case study

    Currently on step 3, I’m learning to fit curves for forest growth datasets, as part of data pre-processing.

    Advertisement

  • Struggles

    I had some struggles with time management. Often I’d have an idea while doing something else, so I didn’t have a set routine. I thought I needed to achieve balance and avoid burnout. A set time during the day for certain tasks. Once it’s done it’s set aside and I’d only revisit it the next day.

  • Internship at mojaglobal

    It’s been more than a week since the start of my internship at mojaglobal. We’re working with the GCBM (Generic Carbon Budget Model), which runs on the FLINT (Full Land Integration Tool) software, and my project is Research Data Sources for Carbon Sequestration in Forests.

    What does “sequestration” mean?

    I saw this word for the first time. According to nationalgrid.com:

    “Carbon sequestration – the practice of removing carbon from the atmosphere and storing it – is one of the many approaches being taken to tackle climate change.”

    In this case, we’re talking about the carbon that trees help absorb from the atmosphere through photosynthesis, which is then stored in the forms of forest biomass (trunks, branches, roots, leaves), dead wood, harvested wood, and soils.

    Carbon is released back into the atmosphere in disturbance events like wildfires, pest infestation, storms that cause tree mortality, human economic activities, etc.

    From what I understand so far, the GCBM models the different levels of forests’ carbon stocks in various scenarios with data inputs from the user. This helps with monitoring disturbance impact in carbon changes, analyzing future projection and decision making in forest and climate change management.

    Tools used

    I’ve been mostly using Python on Jupyter Notebook so far. I’ll be learning some R to interact with the outputs from the GCBM. I’m doing a lot of research. We’re looking for data inputs from public sources.

  • Hello World!