Julio Isaac Montenegro Gambini (@Hydroenvironment)
github

Hydroenvironment

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  • Stars
    star
    49
  • Global Rank 335,940 (Top 12 %)
  • Followers 78
  • Following 42
  • Registered over 7 years ago
  • Most used languages
    R
         75.0 %
    Python
         12.5 %
    JavaScript
         12.5 %
  • Location 🇵🇪 Peru
  • Country Total Rank 264
  • Country Ranking
    R
         6
    Python
         85
    JavaScript
         296

Top repositories

1

Python-Basic-Training

Some training examples for python programming in hydrology and climatology
Python
13
star
2

Statdownscaling

Statistical dowscaling of climate data at daily scale using quantile mapping (QPM) technique.
R
10
star
3

CMIP6-WORLDCLIM-HANDLING

CMIP6 climate data extraction and treatment by multi-polygon shapefile using ESGF NetCDF and WORLDCLIM datasets
R
8
star
4

CMIP5-and-Google-Earth-Engine

Javascript tools to extract NASA-NEC GDDP Climate change daily data in CMIP5 Phase from 21 General Circulation Models (GCM`s). Available daily precipitation, maximum and minimum °T.
JavaScript
7
star
5

R-Hydrology-Tools

Training of data handling and descriptive statistics in R
R
5
star
6

NetCDF-data-treatment

Helpful tools to handle multidimensional NetCDF data
R
4
star
7

NASANEXGDDP-CMIP6

NASA NEX GDDP CMIP6 daily data Handling
R
1
star
8

PISCO-Precip

Tratamiento de datos PISCO
R
1
star