The PREPARE Pacific Drought and Flood Early Warning Workshop aims to:
Item | File Type | Description/Note |
---|---|---|
Software Install (Day 1) | ||
Software install guidance | Two-pager with install guidance on all software needed for training sessions | |
Conda environment files | zipped folder | Zipped folder of files that list install packages for Windows, Mac, and Linux (to make sure packages don’t conflict) |
Software install sanity check | ppt (slides) | Instructions to test software was installed correctly |
GIS Training (Day 1) | ||
Introduction to GIS | pdf (slides) | Introduction to GIS as a software tool, QGIS version |
Practice on GIS intro | pdf (slides) | Guide to practice introduction materials in QGIS |
Vector analysis, geoprocessing | pdf (slides) | Summary of using vector analysis and geoprocessing analyses in GIS |
Practice on vector analysis | pdf (slides) | Guid to practice using vector analysis using QGIS |
Mapmaking in GIS | pdf (slides) | Summary of making maps in GIS |
Practice on mapmaking | pdf (slides) | Practice on making maps using QGIS |
Data for GIS practicals | zipped folder | Data for all of the QGIS practicals |
Subseasonal Outlooks (Day 2) | ||
Subseasonal forecast process, correction and calibration techniques | ppt (slides) | Overview of subseasonal forecast process at CPC International Desk, including techniques to post-process NWP subseasonal forecasts |
Practice on subseasonal forecast bias correction | ppt (slides) | Practice on generating subseasonal rainfall outlooks, including post-processing GEFS model |
Subseasonal zip file | zipped folder | Zipped folder with data for subseasonal practicals, as outlined in practice slides |
Calibrated GEFS subseasonal rainfall forecasts | web page | Subseasonal rainfall outlooks generated based on scripts in subseasonal practicals, terciles and extreme wet/dry conditions |
Consolidated MME Weighted subseasonal rainfall forecast | web page | Subseasonal rainfall outlooks using consolidated MME that is weighted using GROCS |
Seasonal Outlooks (Day 3) | ||
Logistic regression | pdf (slides) | Overview of using logistic regression as a calibration technique for seasonal GCM forecasts |
Precip data needed for logistic regression practical | zipped folder | Precipitation data needed for logistic regression practical session (also needed for intraseasonal practical) |
Logistic regression practical folder | zipped folder | Logistic regression practical folder, including necessary data and scripts |
Seasonal eval: GCM post-processing techniques | pdf (slides) | Comparison of bias correction techniques in multiple Pacific Island nations, emphasis on CCA |
Seasonal practical: CCA | pdf (slides) | Practical on using CCA as a bias correction technique |
Intraseasonal Outlooks (Onset, Cessation, Duration of Wet/Dry seasons) (Day 4) | ||
Intraseasonal forecast overview | pdf (slides) | Overview of methods to forecast intraseasonal rainfall, including onset, cessation and duration of wet/dry seasons |
Practice folders for intraseasonal sessions | web page | Includes onset, precip, shapefiles, colors, etc… materials for intraseasonal practice |
Software install helper | pdf (slide) | One pager with reminder on how to install wsl and renv for intraseasonal (and logistic regression) practicals |
Drought Monitors and Outlooks (Day 4-5) | ||
Drought introduction | pdf (slides) | Introduction to drought session, types of drought |
Drought monitor | pdf (slides) | Drought monitor at CPC overview |
Drought outlooks | pdf (slides) | Overview of drought outlook production at CPC |
Drought early warning system | pdf (slides) | Plans and brainstorming on development of a seamless drought early warning system |
Practice on drought outlook | pdf (slides) | Template to practice developing a drought outlook using CPC International Desk approach |
Drought practice materials | zipped folder | Additional practice materials to develop drought monitor and outlooks, referred to in above presentations |
Flood Outlooks with Machine Learning (Day 5) | ||
ML flood overview | pdf (slides) | Overview of using machine learning (ML) techniques to estimate and forecast floods based on streamflow |
Practice materials for ML flood forecasts | zipped folder | Data and scripts to make a flood outlook using ML tools |
Example outputs from practice material scripts | zipped folder | Example output data from ML flood scripts |
Stakeholder Workshop | ||
Presentation by Dr. Wassila Thiaw on PREPARE | pdf (slides) | Overview of this project’s efforts to support the Information is Power pillar of the PREPARE policy, including a goal to increase ownership of data and early warning system tools in the Pacific Islands to support anticipatory action |
Presentation by Andrew Horan on NOAA efforts in the early warnings space | pdf (slides) | Overview of broader NOAA efforts to enhance early warnings to support preparedness for extreme weather, including PREPARE and Weather Ready Nations, amongst other activities |
Presentation by Dr. Zewdu Segele on NOAA CPC International Desk Approach to Hazard Outlook Development | pdf (slides) | Overview of CPC International Desk approach to hazard outlook development and dissemination, focused on droughts and floods |