francho3's repositories
AI-for-Climate-Change
a collection of Jupyter notebooks and associated code that covers the fundamental concepts of deep learning and its application to climate change problems. This repository contains a range of materials to help you understand the basics of deep learning and its practical implementation using TensorFlow.
ATS_655
Objective Analysis in Atmospheric Science. Topics: Basic probability and statistics, linear regression, spectral analysis, principle component analysis, etc., Instructor: Professor Elizabeth Barnes [CSU].
CCDR-tools
Geoanalytics for climate and disaster risk screening
Climate_Extremes
Análise de dados sobre Eventos Extremos Climáticos
climattR
Rapid climate extreme event attribution for regional and local areas
Curso-de-Python-para-Estudos-Climaticos
Notebooks, scripts e dados sobre analises em Python 3 com foco em estudos climáticos.
Dados---BDMEP
Analise realizada com os dados disponibilizados pelo INMET - BDMEP
dadosClimaticos
Extração dos dados climáticos públicos do INMET.
ECMWF_forecasts_plotting
Plot the ECMWF forecasts with python and send it to your website
ERA5-Reanalysis
Visualizing ECMWF's ERA5 Reanalysis from both Single and Pressure Levels on hourly basis (These notebooks can be used, accordingly, based on your preference).
Esta-es-Meteorol-gicas-Download-de-Dados
Mostro como realizar o download dos dados da ANA (00_AnaDados) e utilizar os dados do INMET (01_InmetDados) em formato de banco dados. Além disso para cada um foi avaliado a completude dos dados no estado de Pernambuco no período de 1992-2022.
forecast-verification
Code written to look at the different types of forecast verifications
Fragility-and-water-security-in-Sudan-and-South-Sudan
Provide a spatial assessment of key water-related challenges and opportunities in South Sudan. The spatial assessment will be both descriptive and inferential, where data allows. The assessment builds upon recent World Bank spatial analysis for South Sudan carried out as part of the following policy reports: South Sudan Floods 2020 – Remote flood damage and needs assessment; Transforming Agriculture from Humanitarian Aid to a Development Oriented Growth Path in South Sudan; Disasters, conflict and displacement. Intersectional risks in South Sudan.
JuanBazo.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
ml4floods
An ecosystem of data, models and code pipelines to tackle flooding with ML
NCEP-GFS
Visualizing NCEP/GDAS' FNL Meteorological Dataset, core of GFS Model, at 0.25 x 0.25 degree (These notebooks can be used, accordingly, based on your preference).
OasisPiWind
Toy UK windstorm model
OasisUI
User Interface for the Oasis platform.
POD_Chuvas_BR
O que se faz aqui? Explora-se o banco de dados meteorológicos do INMET, a partir de dados coletados por cerca de 600 estações distribuídas pelo Brasil entre os anos de 2013 a 2022, através do método POD, Proper Orthogonal Decomposition.
scikit-downscale
Statistical climate downscaling in Python
seaflow
SEAsonal FLOW forecasts
seaform
Seasonal Forecasts Management Platform
staeiou.github.io
Github pages
subseasonal_toolkit
Subseasonal forecasting models
venta-departamento
web venta de departamento