CCDR development plan

[matamadio]

See also Trello board

OBJECTIVES

Updated 07/2023

More efficient spatial processing to work on large countries at high resolution, with better user control on the input data and integrated output presentation. Align the climate indices to new CCKP service features.

NEW TOOL FEATURES

• Code optimisation, data splitting and parallel processing
• Uniformed interface with more user customisation
• Risk Dashboard
• Direct API access to data where allowed

DATA UPDATE

Hazard geodata

• Full-range probabilistic analisys (all RPs considered)
• Flood:
  • Damage to crops: check paper
  • Framework for geostatistical model comparison (i.e. quick maps and charts)
• Coastal flood
  • New deltares model 90 m (via STAC catalogue)
• Drought:
  • differentiate drought types, each one an appropriate index:
    • Agricultural: ASI
    • Climatological: SPEI
  • easier interpretation of results and projections - see Drought hazard: better indicator and projections #19
  • turn into probabilistic - see Veldkamp 2022
• Heat
  • New global layers proposed to be developed by Vito
  • switch to or add the UTCI. New Copernicus dataset
• Air pollution
  • Frequency of days over threshold instead of period mean (Update air quality hazard and vulnerability #17)
• Explore any useful stuff in the Planetary data catalogue

Exposure geodata

• Exposure change
  • Framework for models intercomparison #27
  • Measure or visualize exposure change in hazard risk maps #29
• WSF
  • WSF-3D
  • Harvest of WSF data via query STAC catalogue
• Exploit new GHS products
  • GHS-BUILT-H for building height (res 100m)
  • GHS-BUILT-V for built-up volumes (res 100m)
  • GHS-BUILT-C for differentiating between residential and non-residential (res 10m).
• Add Critical infrastructures

Vulnerability

• Vulnerability functions
  • Air pollution - better mortality rates or function (Update air quality hazard and vulnerability #17)
  • Tropical cyclones (strong wind): regionalized impact function #18

Poverty

• Poverty data: compare DHS, RWI and census-based indices
• New Poverty Mapping by UNICEF AI4D

Climate indices

• Align climate scenarios to CCDR guidance #28
• Shift to dynamic sourcing from CCKP
• Benny Istanto work
• Add missing ones (wind, others)

Past disasters

• Automated maps/charts from EM-DAT (Disaster data collection and elaboration #25)
• Hazard-specific sources
  • Floods?
  • Landslides: NASA/COOLR catalogue

Analytical approach

• Investigate GEE potential for cloud processing

Data presentation

• Risk dashboard

[matamadio]

We are asked to cover countries as large as India using high resolution dataset, down to 10m.
To be able to respond, we need to make the code more robust and efficient, using parallelization.
This might affect the chance to make it work as a collab application.

[matamadio]

Parallelization WORKS on Linux and Win! Thanks @artessen and @ConnectedSystems for this magic!
Remaining issues to be solved in #13