Short Course during the EGU General Assembly 2019 | Mon, 08 Apr, 08:30–10:15

Before we start

Before we start

Who we are

  • Elisabeth Dietze is a Post Doc at AWI Potsdam, working on biomarker based fire histories and robust interpretation of sediment proxies.

  • Michael Dietze is a Post Doc at GFZ Potsdam, working on the seismic signals emitted by Earth surface processes.

Before we start

And who are you?

  • Your first task: Introduce yourself to the others
    • What is your educational background and career stage?
    • Where do you want to apply EMMA?
    • What do you expect from this course?

Before we start

Today's schedule

  • A kaleidoscope of EMMA applications (5 min)
  • Background and constraints (15 min)
  • The R package EMMAgeo (10 min)
  • Preparation is everything – getting data into R (15 min)
  • Modelling your first data set with EMMAgeo (10 min)
  • Including uncertainty – a protocol for robust EMMA (20 min)
  • The quick way – a compact protocol for robust EMMA (10 min)
  • Some thoughts on EMMA implications (10 min)

Before we start

Topics addressed and omitted

  • This course focuses on
    • application cases of EMMA
    • practical experience
    • EMMA with the R package EMMAgeo
  • You are looking for…
    • in depth mathematical foundations?
    • in depth insight to R function code?
    • other EMMA approaches?
      • … not here, please see respective references

Before we start

Topics addressed and omitted

  • What you should be already familiar with
    • R and RStudio
    • Installing and using R packages
    • Writing scripts (and functions)
    • Structuring code and following good practice rules

Before we start

Topics addressed and omitted

  • This course heavily borrows ideas and concepts from
    • Dietze E. et al. (2012). Sedimentary Geology 243–244. 169–180.
    • Dietze, E. et al. (2014). Climate of the Past 10, 91-106.
    • Dietze, E. & Dietze, M. (in revision). Robust grain-size distribution unmixing with the R package EMMAgeo. E&G Quaternary Science Journal.

EMMA what?

A kaleidoscope of applications

EMMA applications

Lake level reconstruction (Dietze et al., 2013)

EMMA applications

Desert landscape evolution (Dietze et al., 2016)