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== Climate Attribution Studies ==


'''Definition:'''
Climate Attribution Studies involve the process of evaluating the relative contributions of multiple causal factors, including human activities and natural phenomena, to a specific climate event or trend. These studies aim to discern the extent to which anthropogenic greenhouse gas emissions have influenced the climate and to what degree natural variability is responsible for observed changes.
'''Purpose:'''
The primary purpose of Climate Attribution Studies is to enhance our understanding of climate change dynamics and to provide a scientific basis for climate policy and decision-making. By quantifying the influence of human activities on climate, these studies inform mitigation and adaptation strategies.
'''Challenges:'''
Attribution studies face several challenges, such as:
* Limited historical data for certain regions and extreme events.
* The complexity of the climate system, with many interacting parts and processes.
* The need for high-quality, high-resolution climate models to accurately simulate and attribute specific events or changes
== World Bank Climate Change Data Catalog ==
'''Context:'''
The dataset from the World Bank Climate Change Data Catalog includes a variety of climate-related indicators. It provides essential data for understanding the impacts of climate change across different countries and regions. <ref>https://datacatalog.worldbank.org/search/dataset/0040205</ref>
[[File:Climate attrib.png|thumb]]
=== Dataset Information ===
* '''Data Type:''' Time series
* '''Coverage:''' Global, by country
* '''Temporal Coverage:''' 1990-2011
* '''Variables Include:'''
** Land area below 5m (% of land area)
* '''File Format:''' XLS
* '''Update Frequency:''' Not specified
=== Sample Entry ===
{| class="wikitable"
! Country code
! Country name
! Series code
! Series name
! 1990
|-
| ABW
| Aruba
| AG.LND.EL5M.ZS
| Land area below 5m (% of land area)
| 29.57481
|-
| ADO
| Andorra
| AG.LND.EL5M.ZS
| Land area below 5m (% of land area)
| 0
|-
| AFG
| Afghanistan
| AG.LND.EL5M.ZS
| Land area below 5m (% of land area)
| 0
|-
| AGO
| Angola
| AG.LND.EL5M.ZS
| Land area below 5m (% of land area)
| 0.208235
|-
| ALB
| Albania
| AG.LND.EL5M.ZS
| Land area below 5m (% of land area)
| 4.967875
|}
=== Usage ===
This dataset is suitable for researchers, policymakers, and analysts who are investigating the impacts of climate change on land use, particularly in areas vulnerable to rising sea levels.
=== Accessing the Data ===
The dataset can be accessed through the World Bank's [Climate Change Data Catalog](https://datacatalog.worldbank.org/dataset/climate-change-data).
=== Citation ===
When using this data, please provide proper attribution to the World Bank Climate Change Data Catalog.

Latest revision as of 21:20, 12 January 2024

Climate Attribution Studies

Definition: Climate Attribution Studies involve the process of evaluating the relative contributions of multiple causal factors, including human activities and natural phenomena, to a specific climate event or trend. These studies aim to discern the extent to which anthropogenic greenhouse gas emissions have influenced the climate and to what degree natural variability is responsible for observed changes.

Purpose: The primary purpose of Climate Attribution Studies is to enhance our understanding of climate change dynamics and to provide a scientific basis for climate policy and decision-making. By quantifying the influence of human activities on climate, these studies inform mitigation and adaptation strategies.


Challenges: Attribution studies face several challenges, such as:

  • Limited historical data for certain regions and extreme events.
  • The complexity of the climate system, with many interacting parts and processes.
  • The need for high-quality, high-resolution climate models to accurately simulate and attribute specific events or changes


World Bank Climate Change Data Catalog

Context: The dataset from the World Bank Climate Change Data Catalog includes a variety of climate-related indicators. It provides essential data for understanding the impacts of climate change across different countries and regions. [1]

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Dataset Information

  • Data Type: Time series
  • Coverage: Global, by country
  • Temporal Coverage: 1990-2011
  • Variables Include:
    • Land area below 5m (% of land area)
  • File Format: XLS
  • Update Frequency: Not specified

Sample Entry

Country code Country name Series code Series name 1990
ABW Aruba AG.LND.EL5M.ZS Land area below 5m (% of land area) 29.57481
ADO Andorra AG.LND.EL5M.ZS Land area below 5m (% of land area) 0
AFG Afghanistan AG.LND.EL5M.ZS Land area below 5m (% of land area) 0
AGO Angola AG.LND.EL5M.ZS Land area below 5m (% of land area) 0.208235
ALB Albania AG.LND.EL5M.ZS Land area below 5m (% of land area) 4.967875

Usage

This dataset is suitable for researchers, policymakers, and analysts who are investigating the impacts of climate change on land use, particularly in areas vulnerable to rising sea levels.

Accessing the Data

The dataset can be accessed through the World Bank's [Climate Change Data Catalog](https://datacatalog.worldbank.org/dataset/climate-change-data).

Citation

When using this data, please provide proper attribution to the World Bank Climate Change Data Catalog.

  1. ↑ https://datacatalog.worldbank.org/search/dataset/0040205
Retrieved from "http://climateriskwiki.uw.edu/index.php?title=Climate_Attribution_Studies&oldid=544"