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Hi there šŸ‘‹

My name is Nina and I'm a postdoctoral research scientist in cloud physics at the Columbia University's Center for Climate Systems Research and the NASA Goddard Institute for Space Studies.

  • šŸ”­ Iā€™m currently working on constraining cloud feedbacks in climate models using satellite observations.
  • šŸŒ± Iā€™m currently learning Python and its capabilities for geoscience.
  • šŸ“« My contact info can be found at https://ccsr.columbia.edu/people/nina-crnivec.

I received my PhD from the LMU Munich where I investigated the three-dimensional interaction between inhomogeneous cloud structures and atmospheric radiation. I'm a co-developer of the radiative transfer package libRadtran, which is freely available at http://www.libradtran.org. For the purpose of my PhD research I extended the classic Ī“-Eddington two-stream radiation scheme to incorporate partial cloudiness following the maximum-random overlap assumption. Inspired by the Tripleclouds concept of Shonk and Hogan (2008) I further designed the Tripleclouds radiation solver based on the core-shell model for convective clouds. Both algorithms were implemented into libRadtran and are easy to use! šŸ˜

Nina Crnivec's Projects

ccsolar icon ccsolar

Shell scripts for libRadtran simulations

climt icon climt

The official home of climt, a Python based climate modelling toolkit.

cloud_labeler icon cloud_labeler

Find Labels(index_sets) in a 3D boolean field presuming connectivity of a 7pt stencil and cyclic boundary conditions

go icon go

The Open Source Data Science Masters

maxrand_twostream icon maxrand_twostream

Fortran code for a delta eddington twostream solver with maximum random cloud overlap assumptions

ninacrnivec.github.io icon ninacrnivec.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

pycles icon pycles

A python based infrastructure for cloud large eddy simulation.

pysdm icon pysdm

Pythonic particle-based (super-droplet) cloud microphysics modelling with Jupyter examples

twostreammaxrnd icon twostreammaxrnd

Two-stream code with maximum-random overlap assumption for partial cloudiness

uclales icon uclales

Large eddy simulation code for atmospheric flow

window icon window

Analysis of 1D and 3D heating rates within COSMO-sized (2.8 km x 2.8 km) windows

xarray icon xarray

N-D labeled arrays and datasets in Python

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