Identification

Title

To understand climate change adaptation, we must characterize climate variability: Here's how

Abstract

Climate change adaptation involves the management of climate-related risks, and the Intergovernmental Panel on Climate Change says we must prioritize adaptation immediately. However, researchers and policymakers have little systematic understanding of which adaptations are effective at reducing risks, including under different climate conditions. Drawing on data from human communities past and present, we review how features of climate variability-temporal autocorrelation, frequency, and severity-may predict which candidate climate change adaptations communities innovate or adopt. Using a case study of climate and remittances in Africa, we outline how researchers can characterize features of climate data relevant to adaptation-autocorrelation, frequency, and severity-and then qualitatively compare these data to candidate adaptations. We include suggestions for how to involve communities in these explorations, from setting climate thresholds to identifying impactful hazards. By better understanding the relationship between climate variability and common solutions used by communities, researchers and policymakers can better support communities as they adapt to contemporary climate change.

Resource type

document

Resource locator

Unique resource identifier

code

https://n2t.org/ark:/85065/d7f76hp1

codeSpace

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

geoscientificInformation

Keywords

Keyword set

keyword value

Text

originating controlled vocabulary

title

Resource Type

reference date

date type

publication

effective date

2016-01-01T00:00:00Z

Geographic location

West bounding longitude

East bounding longitude

North bounding latitude

South bounding latitude

Temporal reference

Temporal extent

Begin position

End position

Dataset reference date

date type

publication

effective date

2023-12-01T00:00:00Z

Frequency of update

Quality and validity

Lineage

Conformity

Data format

name of format

version of format

Constraints related to access and use

Constraint set

Use constraints

Limitations on public access

None

Responsible organisations

Responsible party

contact position

OpenSky Support

organisation name

UCAR/NCAR - Library

full postal address

PO Box 3000

Boulder

80307-3000

email address

opensky@ucar.edu

web address

http://opensky.ucar.edu/

name: homepage

responsible party role

pointOfContact

Metadata on metadata

Metadata point of contact