CRVA METHODOLOGY

CRVA At Different Scales

Explore the concepts and methods behind the CRVA process and understand how it can be applied to local, regional and national levels in the Central Asia region. Get insight on how to bridge climate exposure and risk with meaningful, actionable adaptation interventions.

Broad and Fine Scale of the CRVA Methodology

CRVA can be conducted on various spatial scales, e.g. broad scales like countries or regions, or fine scales like specific locations.

The CRVA methodology is applicable at different scales, from large regions (polygonal or grid) down to a more localised level (points). Understanding the key principles of treating information at various scales is critical for the successful application of CRVA. A comparison of how CRVA data is treated and applied at broad scale vs. at the fine level is made below.

	Broad scale	Fine scale
Data	Global datasets and National Communication data	National results might be replicated on community level together with additional specific local data
Impact chains	Applicable	Applicable
Climate variables/indicators	Linked to land use and defines risks. Vulnerability cannot be defined	Has clear relation with the impact on the process and changes under climate change. Vulnerability can be assessed with detailed local information. Used to set critical indicators in pilot projects
Managing the lack of open data	Not Applicable	Applicable
Includes climate models on extreme parameters	Applicable	Applicable
Typical indicators, depending on assessment (The selection of indicators depends on what is needed to assess, not on the size. Hence, most of indicators can be applied at any scale)	Natural processes and management: Extreme maximum temperatures Duration of heat waves Frost cycles per year Growing degrees/freezing degrees Extreme maximum precipitation Share of heavy precipitation Duration of drought periods Shifts in monthly precipitation Shift in precipitation per elevation	Site management: Surface runoff Return flow Percolation Evapotranspiration Transmission losses Reservoir storage. Crop growth and irrigation Groundwater flow Nutrient and pesticide loading
Weaknesses	Potential inaccurancies are up-scaled from local-specific assessment to a sub-national or national level	Challenging local variations occur in mountainous areas
Limitations	Sufficient human and financial resources are required to conduct necessary data collection and analysis	Sufficient human and financial resources are required to conduct necessary data collection and analysis