this week, i will tweet some textbook recommendations. for the books which i include, the basic criteria are that: 1) if i had found them earlier, i would have understood certain topics more quickly 2) they contributed to me liking the subject 3) i still enjoy reading them

Do you want to know what the snow conditions in Norway are forecast to be like in the coming months? Our downscaling of ECMWF forecasts are now live on the Arctic Portal: narval.nersc.no/?date=17119728… 6-month forecasts of snow depth and temperature will be updated every month.

Working on data assimilation and inverse modeling for the terrestrial cryosphere? Consider applying to our EGU session European Geosciences Union (deadline tomorrow!) meetingorganizer.copernicus.org/EGU24/session/…

By combining model development and observations from the NWO Nieuws #SLOCS project and the Ruisdael Observatory, we created a cloud-resolving simulation with #MicroHH of The Netherlands with realistic boundary conditions derived from ECMWF ERA5. Movie by @bartvstratum. Wageningen U&R.

To all who like this - what if I told you this book is not about the linear deterministic kind of SSM used by Mamba, S4, etc. but instead is about Bayesian inference in stochastic nonlinear dynamical models - would you still be interested?

The SPOT satellites archive remains largely untapped. In this paper we show how to train a deep learning model to classify snow and clouds without reference data.. by emulating SPOT data from Sentinel-2 images. Unofficial name of the method: SPOTIFY. ieeexplore.ieee.org/document/10422…

Stanley's probability textbook (probability4datascience.com) is fantastic, so I imagine this tutorial on diffusion is good as well. However, I am no longer of a fan of presenting the discrete time version - the flow matching interpretation seems more elegant.

This talk (the Biblically accurate Bayesian -or- Bayes without Frequentist Language) was recorded and is available on the ytube now: youtube.com/watch?v=oHWNex…

Disaggregating the Carbon Exchange of Degrading Permafrost Peatlands Using Bayesian Deep Learning agupubs.onlinelibrary.wiley.com/doi/full/10.10…

Disaggregating the Carbon Exchange of Degrading Permafrost Peatlands Using Bayesian Deep Learning - Pirk - 2024 - Geophysical Research Letters - Wiley Online Library agupubs.onlinelibrary.wiley.com/doi/full/10.10…

New preprint in EGUsphere led by trailblazing PhD candidate Marco Mazzolini on joint ICESat-2 #spacelaser snow depth and Sentinel-2 snow cover data assimilation with MuSA in the SNOWDEPTH Norges forskningsråd project MN Faculty: Research ARCHIVED - NASA Ice Copernicus EU doi.org/10.5194/egusph…

Was 2024 a good or bad snow year? Thread!

“The market will solve climate” The market:

Discussion open for comments on EGUsphere: Inferring methane emissions from African livestock by fusing drone, tower, and satellite data doi.org/10.5194/egusph…