Afghanistan Drought Early Warning Decision Support (AF-DEWS) Tool

This report summarizes the development of the Afghanistan Drought Early Warning Decision Support (AF-DEWS) Tool, a cloud-based online platform with near real-time information on drought conditions, to provide decision-makers with maps and data to enable further analysis. The report provides an overv...

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Main Authors: Amarnath, Giriraj, Ghosh, Surajit, Alahacoon, Niranga
Format: Informe técnico
Language:Inglés
Published: International Water Management Institute 2023
Subjects:
Online Access:https://hdl.handle.net/10568/135302
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author Amarnath, Giriraj
Ghosh, Surajit
Alahacoon, Niranga
author_browse Alahacoon, Niranga
Amarnath, Giriraj
Ghosh, Surajit
author_facet Amarnath, Giriraj
Ghosh, Surajit
Alahacoon, Niranga
author_sort Amarnath, Giriraj
collection Repository of Agricultural Research Outputs (CGSpace)
description This report summarizes the development of the Afghanistan Drought Early Warning Decision Support (AF-DEWS) Tool, a cloud-based online platform with near real-time information on drought conditions, to provide decision-makers with maps and data to enable further analysis. The report provides an overview of how the AF-DEWS Tool was developed and how it can be used to systematically monitor, detect and forecast drought conditions in Afghanistan. The tool provides a wide range of indicators/indices to assess the severity of meteorological (rainfall anomaly, standardized precipitation index), hydrological (snow cover index, streamflow drought index, surface water supply index), and agricultural (vegetation health index, integrated drought severity index) droughts. The authors evaluated historical drought events, specifically the widespread drought event of 2018, to identify the precise impact of drought that has affected more than 13 million people across 22 of the 34 provinces in the severe to extreme drought category. Key drought indices were selected to undertake a detailed evaluation of the major drought events and their impacts on crop production. Satellite-derived (Moderate Resolution Imaging Spectroradiometer [MODIS]) Gross Primary Productivity (GPP) data and observed wheat production data provided by the National Statistics and Information Authority (NSIA) were used. This demonstrates the capabilities of the AF-DEWS Tool in supporting drought early warning and informing preparedness and risk reduction measures.
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spelling CGSpace1353022025-11-07T07:58:56Z Afghanistan Drought Early Warning Decision Support (AF-DEWS) Tool Amarnath, Giriraj Ghosh, Surajit Alahacoon, Niranga drought indices early warning systems decision support systems monitoring earth observation satellites remote sensing extreme weather events weather forecasting precipitation rainfall temperature snow cover weather patterns indicators climate change mitigation risk management climate services decision making disaster preparedness spatial data datasets maps seasonal variation institutions finance state intervention surface water irrigated farming crop yield food insecurity This report summarizes the development of the Afghanistan Drought Early Warning Decision Support (AF-DEWS) Tool, a cloud-based online platform with near real-time information on drought conditions, to provide decision-makers with maps and data to enable further analysis. The report provides an overview of how the AF-DEWS Tool was developed and how it can be used to systematically monitor, detect and forecast drought conditions in Afghanistan. The tool provides a wide range of indicators/indices to assess the severity of meteorological (rainfall anomaly, standardized precipitation index), hydrological (snow cover index, streamflow drought index, surface water supply index), and agricultural (vegetation health index, integrated drought severity index) droughts. The authors evaluated historical drought events, specifically the widespread drought event of 2018, to identify the precise impact of drought that has affected more than 13 million people across 22 of the 34 provinces in the severe to extreme drought category. Key drought indices were selected to undertake a detailed evaluation of the major drought events and their impacts on crop production. Satellite-derived (Moderate Resolution Imaging Spectroradiometer [MODIS]) Gross Primary Productivity (GPP) data and observed wheat production data provided by the National Statistics and Information Authority (NSIA) were used. This demonstrates the capabilities of the AF-DEWS Tool in supporting drought early warning and informing preparedness and risk reduction measures. 2023-12-08 2023-12-13T03:24:04Z 2023-12-13T03:24:04Z Report https://hdl.handle.net/10568/135302 en Open Access application/pdf International Water Management Institute Amarnath, Giriraj; Ghosh, Surajit; Alahacoon, Niranga. 2023. Afghanistan Drought Early Warning Decision Support (AF-DEWS) Tool. Colombo, Sri Lanka: International Water Management Institute (IWMI). 53p. (IWMI Research Report 188) [doi: https://doi.org/10.5337/2023.223]
spellingShingle drought indices
early warning systems
decision support systems
monitoring
earth observation satellites
remote sensing
extreme weather events
weather forecasting
precipitation
rainfall
temperature
snow cover
weather patterns
indicators
climate change mitigation
risk management
climate services
decision making
disaster preparedness
spatial data
datasets
maps
seasonal variation
institutions
finance
state intervention
surface water
irrigated farming
crop yield
food insecurity
Amarnath, Giriraj
Ghosh, Surajit
Alahacoon, Niranga
Afghanistan Drought Early Warning Decision Support (AF-DEWS) Tool
title Afghanistan Drought Early Warning Decision Support (AF-DEWS) Tool
title_full Afghanistan Drought Early Warning Decision Support (AF-DEWS) Tool
title_fullStr Afghanistan Drought Early Warning Decision Support (AF-DEWS) Tool
title_full_unstemmed Afghanistan Drought Early Warning Decision Support (AF-DEWS) Tool
title_short Afghanistan Drought Early Warning Decision Support (AF-DEWS) Tool
title_sort afghanistan drought early warning decision support af dews tool
topic drought indices
early warning systems
decision support systems
monitoring
earth observation satellites
remote sensing
extreme weather events
weather forecasting
precipitation
rainfall
temperature
snow cover
weather patterns
indicators
climate change mitigation
risk management
climate services
decision making
disaster preparedness
spatial data
datasets
maps
seasonal variation
institutions
finance
state intervention
surface water
irrigated farming
crop yield
food insecurity
url https://hdl.handle.net/10568/135302
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