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dash's Introduction

About Me

I'm a climate researcher and data scientist at the University of Arizona. My research focuses on paleoclimate data assimilation. I'm the author and developer of DASH, a Matlab package for paleoclimate data assimilation workflow, as well as other climate-related projects. My interests also include teaching data science skills for researchers, and supporting open science. Check out my website for more details about my work.

Suggested Repositories

Here are some of my most popular repositories

  • DASH: A Matlab package for paleoclimate data assimilation workflow. You can find documentation on the DASH Website.

  • pdsi: A Matlab package to compute the Palmer Drought Severity Index for instrumental and/or climate model data.

  • Github-Tutorial-Workshop: Check out the workshop website for a tutorial designed to introduce scientists and researchers to Github.

  • scaleColorMap: A Matlab utility that scales colorbars when plotting divergent datasets.

dash's People

Contributors

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dash's Issues

Kalman chunking

You can recycle any kalman gain that uses the same "obs" array. Potentially large speed gains for successful PSMs with a joint update.

PSM: VS-Lite standardization.

Any VS-Lite standardization will change as multiple proxies are updated. This is because the mean of each run can change as the analysis updates.

Perhaps there should be a baseline standardization given at the beginning of each PSM?
This would be along the lines of: Do a bulk Ye calculation before starting dash, then save the mean and std of this bulk calculation to use in all dash updates.

Energy statistic / Npdft

estat is super slow. Either speed it up, or have Npdft just accept iterations and then calculate once at the end.

Ens: General messiness

  1. Make a more intuitive directory format
  2. More intelligent use of varDex, sequences, etc. Most of these functions should be called a single time and pass the outputs.

V3: Tall ensembles

Implement dash to handle ensembles that do not fit in working memory.

Design: Coupling by default

  1. Should be able to couple multiple variables with a single function call.

  2. Should have a couple 'all' flag

  3. Perhaps automatically couple variables in a finalizeDesign function.
    (But this could be questionable, how to set state seq and mean indices?)
    Maybe have a copyIndices function for vars and template?

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