Jemal Seid's repositories
covid19_dashboard
This is a dashboard, similar to the one from Johns Hopkins usind open source technology.
agroclim
Climatic Indices for Agriculture
Cowan_et_al_2020_DustBowl_GHG
Code to create figures in Cowan et al. 2020, Nature Climate Change
weather-benchmark
Home to the weather forecasting benchmark dataset
PISCOp
PISCOp paper
SIMS
Solomon Islands Meteorological Services TRMM/TMPA rainfall monitoring
jemsethio.github.io
Ethio Agromet Forecast
earth-env-data-science-book
Source repo for Earth and Environmental Data Science book
HiClimR
HiClimR: Hierarchical Climate Regionalization
eo-learn
Earth observation processing framework for machine learning in Python
DMML_PhD
Material for the DM/ML course for PhD in Data Science
NMME1_Research
Codes for research on NMME (North Ametica Multi Model Ensemble)
weather-api
A RESTful API to check the weather
S2S-Climate-Forecasts-for-Watersheds
NOAA MAPP Climate Testbed Project to develop Subseasonal to Seasonal (S2S) Climate Forecast Products for Watersheds
Rpackages_dir
My directory of R packages for data analysis and visualization, Bayesian statistics, mapping, GIS, climate, Species Distribution Modelling, ecology, etc
2018-paraguay-floods
Heavy rainfall in Paraguay during the 2015-2016 austral summer: causes and sub-seasonal-to-seasonal predictive skill (Journal of Climate) by Doss-Gollin, Muñoz, Mason, and Pastén
PredictiveSoilMapping
Predictive Soil Mapping with R (book)
pixel_level_land_classification
Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
swb2_examples
Collection of working SWB version 2.0 example applications.
rainfall_onset
rainfall onset-cessation and extreme indices
Meteorological-Books
气象相关书籍
SOM-based-partition
codes for paper "Trends in persistent seasonal-scale atmospheric circulation patterns responsible for seasonal precipitation totals and occurrences of precipitation extremes over Canada" in Journal of Climate
agrometeorDocker
Dockerfile for AgrometeoR development environment using Docker
Predicting-weather-forecast-uncertainty-with-machine-learning
Code for the paper "Predicting weather forecast uncertainty with machine learning"(2018) by S. Scher and G. Messori in QJRMS
climate_extremes_agriculture
Analyse the effect of climate extremes on agricultural yields using Random Forests.
stlocationqc
C3S Quality Control of Meteorological Stations Location