Climate Risk Informed Decision Analysis (CRIDA): collaborative water resources planning for an uncertain future

The CRIDA approach provides a crucial framework to enable water managers and policy makers to assess the impact of climate uncertainty and change on their water resources and work towards effective adaptation strategies. This multi-step process embraces a participatory, bottom-up approach to identify water security hazards, and is sensitive to indigenous and gender-related water vulnerabilities. By engaging local communities in the design of the analysis, the information provided by scientific modeling and climate analysis can be tailored and thus provide more useful answers to the challenges they are facing. They are also providing a more informed starting point to assess the different options for adaptation, and design robust adaptation pathways, in line with the local needs.

Data and Resources

Cite this as

DOI:
10.63253/huckykxe
IHP-WINS (2024). Climate Risk Informed Decision Analysis (CRIDA): collaborative water resources planning for an uncertain future [Data set]. UNESCO .
Published: 2025-04-11 | Publisher: UNESCO

Metadata
Download
DCAT-AP

Basic information
DOI https://doi.org/10.63253/huckykxe
Resource type Document (computer)
Date of creation 2025-04-11
Date of last revision 2025-04-11
Show changelog
Metadata identifier Climate-Risk-Informed-Decision-Analysis-(CRIDA):-collaborative-water-resources-planning-for-an-uncertain-future
Metadata language English
Themes (DCAT-AP)
High-value dataset category
ISO 19115 topic category environment
Other identifier
Keyword URIs
Spatial information
INSPIRE identifier
INSPIRE Themes
Geographic identifier
Coordinate Reference System
Spatial representation Type
Bounding Box
Spatial resolution of the dataset (m)
Provenance
Lineage statement
Metadata Standard
Conformity
Source dataset
Update frequency
Sources
Purpose
Process steps
Temporal extent (Start)
Temporal extent (End)
Version notes
Version
Dataset validity
Responsible Party
Name of the dataset creator (Legacy) IHP-WINS
Name of the dataset maintainer ckan_admin
Identifier of the dataset creator (Legacy)
Email of the dataset creator (Legacy) projas@cazalac.org
Identifier of the dataset maintainer
Email of the dataset maintainer ihp-wins@unesco.org
Website of the dataset maintainer