Investing in Digital Hydrometeorological Data for the Developing World
Addressing many of the global challenges facing humankind requires the availability, access, and use of huge volumes of digital hydrometeorological (hereafter “hydromet”) data needed to inform decision-making to save lives and infrastructure as...
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World Bank, Washington, DC
2022
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okr-10986-375612022-06-17T05:10:34Z Investing in Digital Hydrometeorological Data for the Developing World Thorpe, Alan Rogers, David P. DECARBONIZATION BUILD BACK BETTER GLOBAL WARMING IMPACT HYDROMET DATA VALUE SUSTAINABLE ECONOMIC DEVELOPMENT RESILIENT ECONOMY NEW ECONOMY WEATHER-RELATED INFORMATION RISK TO SUSTAINABLE ENERGY SOLAR COLLECTION RISK WIND ENERGY VULNERABILITY VULNERABIITY TO WEATHER WATER STRESSES Addressing many of the global challenges facing humankind requires the availability, access, and use of huge volumes of digital hydrometeorological (hereafter “hydromet”) data needed to inform decision-making to save lives and infrastructure as well as to exploit the associated economic opportunities. The global challenges include the world’s increasing vulnerability to weather, climate, and water stresses, and they are especially acute in developing countries. This technical note outlines the opportunities and requirements for developing countries to be able to benefit from the digital hydromet data revolution. 2022-06-16T18:01:58Z 2022-06-16T18:01:58Z 2022-03 Technical Note http://documents.worldbank.org/curated/en/099809303292242879/IDU09649b6ed0a6bc0459309beb0b69ff7fd3c4a http://hdl.handle.net/10986/37561 English CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Brief |
repository_type |
Digital Repository |
institution_category |
Foreign Institution |
institution |
Digital Repositories |
building |
World Bank Open Knowledge Repository |
collection |
World Bank |
language |
English |
topic |
DECARBONIZATION BUILD BACK BETTER GLOBAL WARMING IMPACT HYDROMET DATA VALUE SUSTAINABLE ECONOMIC DEVELOPMENT RESILIENT ECONOMY NEW ECONOMY WEATHER-RELATED INFORMATION RISK TO SUSTAINABLE ENERGY SOLAR COLLECTION RISK WIND ENERGY VULNERABILITY VULNERABIITY TO WEATHER WATER STRESSES |
spellingShingle |
DECARBONIZATION BUILD BACK BETTER GLOBAL WARMING IMPACT HYDROMET DATA VALUE SUSTAINABLE ECONOMIC DEVELOPMENT RESILIENT ECONOMY NEW ECONOMY WEATHER-RELATED INFORMATION RISK TO SUSTAINABLE ENERGY SOLAR COLLECTION RISK WIND ENERGY VULNERABILITY VULNERABIITY TO WEATHER WATER STRESSES Thorpe, Alan Rogers, David P. Investing in Digital Hydrometeorological Data for the Developing World |
description |
Addressing many of the global
challenges facing humankind requires the availability,
access, and use of huge volumes of digital
hydrometeorological (hereafter “hydromet”) data needed to
inform decision-making to save lives and infrastructure as
well as to exploit the associated economic opportunities.
The global challenges include the world’s increasing
vulnerability to weather, climate, and water stresses, and
they are especially acute in developing countries. This
technical note outlines the opportunities and requirements
for developing countries to be able to benefit from the
digital hydromet data revolution. |
format |
Technical Note |
author |
Thorpe, Alan Rogers, David P. |
author_facet |
Thorpe, Alan Rogers, David P. |
author_sort |
Thorpe, Alan |
title |
Investing in Digital Hydrometeorological Data for the Developing World |
title_short |
Investing in Digital Hydrometeorological Data for the Developing World |
title_full |
Investing in Digital Hydrometeorological Data for the Developing World |
title_fullStr |
Investing in Digital Hydrometeorological Data for the Developing World |
title_full_unstemmed |
Investing in Digital Hydrometeorological Data for the Developing World |
title_sort |
investing in digital hydrometeorological data for the developing world |
publisher |
World Bank, Washington, DC |
publishDate |
2022 |
url |
http://documents.worldbank.org/curated/en/099809303292242879/IDU09649b6ed0a6bc0459309beb0b69ff7fd3c4a http://hdl.handle.net/10986/37561 |
_version_ |
1764487249072750592 |