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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

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

Potential inaccurancies are up-scaled from local-specific assessment to a sub-national or national level

Challenging local variations occur in mountainous areas


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