menta78 Goto Github PK

adriaclimindicators

alphabetalab

Package for the automatic computation of the transparency coefficients needed by the Unresolved Obstacles Source Term (UOST, Mentaschi et al. 2018, 2015, 2019, 2020), for subscale modelling of gravity ocean waves

bfm-sincem

unibo fork of bfm

eve-3d-printing

gee_asset_manager

Google Earth Engine Batch Asset Manager

graphcast

lisflood-fp-unibo

lisfloodrunmanager

mentadockers

my dockers

nemo-sincem

schism

Semi-implicit Cross-scale Hydroscience Integrated System Model (SCHISM)

schismwwmv

scikit-learn

scikit-learn: machine learning in Python

tessek

My personal android application that helps me studying different subjects, like hungarian language, history and physics

tseva

This MATLAB toolbox contains an implementation of the Transformed-Stationary (TS) methodology for non-stationary EVA as described in Mentaschi et al. (2016). In synthesis this approach consists in (i) transforming a non-stationary time series into a stationary one to which the stationary EVA theory can be applied; and (ii) reverse-transforming the result into a non-stationary extreme value distribution. This toolbox is free of external dependencies, and contains calls for both the statistical analysis and the graphical rendering of the results.

ww3

WAVEWATCH III

wwm-v

Wind Wave Model V

xios2.0-sincem