This is your work, valued

New York, NY

Dhruv Balwada

Expert
@dhruvbalwada

glider-panel-demo. Demo of how to use holoviz to visualize gliderdata

13

submesoscale_subduction_GRL. Notebooks with codes to do analysis for and make figures for "Submesoscale Vertical Velocities Enhance Tracer Subduction in an Idealized Antarctic Circumpolar Current"

12

LLC_analysis. Random analysis and visualization notebooks for LLC4320.

6

SF3_to_KEflux. Estimating spectral fluxes of kinetic energy from 3rd order velocity structure functions.

5

vorticity-strain-conditioning. Notebooks for analysis and generating figures for Balwada et al 2021

4

mesoscale_stirring_dimes_floats. Codes for analyzing Lagrangian pair dispersion

3

tut_holoviz_ocean. Some example notebooks to show how holoviz can be useful to oceanographers.

3

glider_rf_pred. Using random forest to predict unmeasured variables along glider tracks

3

SO_simple_models. This directory houses scripts that solve simple (usually zonally averaged) setups that are representative of southern ocean dynamics. Starting from the models of Marshall and Radko 2006.

2

glider_map_viz_esci_2021. Codes and notes about the glider mapping and visualizing project as part of the e-science winter incubator 2021.

2

LLC-spectral-analysis. Repo with notebooks showing how to use xrft to do spectral analysis of LLC4320.

2

CU_DEES_GFD2025_codes. Code for some numerical experiments for teaching GFD.

1

compress_climate_data. Code to compress climate and ocean data using Klower et al 2022

1

sogos. Jupyter Notebook

1

BSOSE_analysis. Random analysis notebooks for BSOSE data

1

watermass. Jupyter Notebook

1

structure_functions. Code and data for estimating structure functions in the ocean.

1

Numerical_PDEs. Some codes I wrote as part of a Numerical PDEs course series.

1

GDP_mixing. Use the Global Drifter Program (GDP) drifter data to estimate mixing in the world surface ocean.

1

POB. This project is meant to be a collection of notes on physical oceanography.

1

mitgcm_data_play. How to access MITgcm data on the cloud

1

enso_prediction_ML. Collection of ML models to predict ENSO

1

python_demo_geoscience. Here is a repository that highlights some of the basic tools that can be useful in analysis of geoscience data.

1