A Central Asia hydrologic monitoring dataset for food and water security applications in Afghanistan
<p>From the Hindu Kush mountains to the Registan Desert, Afghanistan is a diverse landscape where droughts, floods, conflict, and economic market accessibility pose challenges for agricultural livelihoods and food security. The ability to remotely monitor environmental conditions is critical t...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2022-07-01
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| Series: | Earth System Science Data |
| Online Access: | https://essd.copernicus.org/articles/14/3115/2022/essd-14-3115-2022.pdf |
| _version_ | 1817976830257266688 |
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| author | A. McNally A. McNally A. McNally J. Jacob J. Jacob K. Arsenault K. Arsenault K. Slinski K. Slinski D. P. Sarmiento D. P. Sarmiento A. Hoell S. Pervez J. Rowland M. Budde S. Kumar C. Peters-Lidard J. P. Verdin |
| author_facet | A. McNally A. McNally A. McNally J. Jacob J. Jacob K. Arsenault K. Arsenault K. Slinski K. Slinski D. P. Sarmiento D. P. Sarmiento A. Hoell S. Pervez J. Rowland M. Budde S. Kumar C. Peters-Lidard J. P. Verdin |
| author_sort | A. McNally |
| collection | DOAJ |
| description | <p>From the Hindu Kush mountains to the Registan Desert, Afghanistan is a
diverse landscape where droughts, floods, conflict, and economic market
accessibility pose challenges for agricultural livelihoods and food
security. The ability to remotely monitor environmental conditions is
critical to support decision making for humanitarian assistance. The Famine
Early Warning Systems Network (FEWS NET) Land Data Assimilation System
(FLDAS) global and Central Asia data streams provide information on
hydrologic states for routine integrated food security analysis. While
developed for a specific project, these data are publicly available and
useful for other applications that require hydrologic estimates of the water
and energy balance. These two data streams are unique because of their
suitability for routine monitoring, as well as for being a historical record for
computing relative indicators of water availability. The global stream is
available at <span class="inline-formula">∼</span> 1-month latency, and monthly average outputs are on a
10 km grid from 1982–present. The second data stream, Central Asia (21–56<span class="inline-formula"><sup>∘</sup></span> N, 30–100<span class="inline-formula"><sup>∘</sup></span> E), at <span class="inline-formula">∼</span> 1 d latency,
provides daily average outputs on a 1 km grid from 2000–present. This paper
describes the configuration of the two FLDAS data streams, background on the
software modeling framework, selected meteorological inputs and parameters,
and results from previous evaluation studies. We also provide additional
analysis of precipitation and snow cover over Afghanistan. We conclude with
an example of how these data are used in integrated food security analysis.
For use in new and innovative studies that will improve understanding of
this region, these data are hosted by U.S. Geological Survey data portals
and the National Aeronautics and Space Administration (NASA). The Central
Asia data described in this paper can be accessed via the NASA
repository at <a href="https://doi.org/10.5067/VQ4CD3Y9YC0R">https://doi.org/10.5067/VQ4CD3Y9YC0R</a> (Jacob and Slinski, 2021), and the global data described in this
paper can be accessed via the NASA repository at <a href="https://doi.org/10.5067/5NHC22T9375G">https://doi.org/10.5067/5NHC22T9375G</a> (McNally, 2018).</p> |
| first_indexed | 2024-04-13T22:07:53Z |
| format | Article |
| id | doaj.art-3b85faaecd524f16942af24b87eb645f |
| institution | Directory Open Access Journal |
| issn | 1866-3508 1866-3516 |
| language | English |
| last_indexed | 2024-04-13T22:07:53Z |
| publishDate | 2022-07-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Earth System Science Data |
| spelling | doaj.art-3b85faaecd524f16942af24b87eb645f2022-12-22T02:27:51ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162022-07-01143115313510.5194/essd-14-3115-2022A Central Asia hydrologic monitoring dataset for food and water security applications in AfghanistanA. McNally0A. McNally1A. McNally2J. Jacob3J. Jacob4K. Arsenault5K. Arsenault6K. Slinski7K. Slinski8D. P. Sarmiento9D. P. Sarmiento10A. Hoell11S. Pervez12J. Rowland13M. Budde14S. Kumar15C. Peters-Lidard16J. P. Verdin17NASA Goddard Space Flight Center, Greenbelt, MD 20771, United StatesScience Applications International Corporation Inc., Reston, VA 20190, United StatesU.S. Agency for International Development, Washington, DC 20523, United StatesNASA Goddard Space Flight Center, Greenbelt, MD 20771, United StatesScience Systems and Applications Inc., Lanham, MD 20706, United StatesNASA Goddard Space Flight Center, Greenbelt, MD 20771, United StatesScience Applications International Corporation Inc., Reston, VA 20190, United StatesNASA Goddard Space Flight Center, Greenbelt, MD 20771, United StatesEarth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, United StatesNASA Goddard Space Flight Center, Greenbelt, MD 20771, United StatesScience Applications International Corporation Inc., Reston, VA 20190, United StatesPhysical Science Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO 80305, United StatesArctic Slope Regional Corporation Federal Data Solutions, Contractor to U.S. Geological Survey, Earth Resources Observation and Science (EROS) Center, Sioux Falls, SD 57198, United StatesEROS Center, U.S. Geological Survey, Sioux Falls, SD 57198, United StatesEROS Center, U.S. Geological Survey, Sioux Falls, SD 57198, United StatesNASA Goddard Space Flight Center, Greenbelt, MD 20771, United StatesNASA Goddard Space Flight Center, Greenbelt, MD 20771, United StatesU.S. Agency for International Development, Washington, DC 20523, United States<p>From the Hindu Kush mountains to the Registan Desert, Afghanistan is a diverse landscape where droughts, floods, conflict, and economic market accessibility pose challenges for agricultural livelihoods and food security. The ability to remotely monitor environmental conditions is critical to support decision making for humanitarian assistance. The Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS) global and Central Asia data streams provide information on hydrologic states for routine integrated food security analysis. While developed for a specific project, these data are publicly available and useful for other applications that require hydrologic estimates of the water and energy balance. These two data streams are unique because of their suitability for routine monitoring, as well as for being a historical record for computing relative indicators of water availability. The global stream is available at <span class="inline-formula">∼</span> 1-month latency, and monthly average outputs are on a 10 km grid from 1982–present. The second data stream, Central Asia (21–56<span class="inline-formula"><sup>∘</sup></span> N, 30–100<span class="inline-formula"><sup>∘</sup></span> E), at <span class="inline-formula">∼</span> 1 d latency, provides daily average outputs on a 1 km grid from 2000–present. This paper describes the configuration of the two FLDAS data streams, background on the software modeling framework, selected meteorological inputs and parameters, and results from previous evaluation studies. We also provide additional analysis of precipitation and snow cover over Afghanistan. We conclude with an example of how these data are used in integrated food security analysis. For use in new and innovative studies that will improve understanding of this region, these data are hosted by U.S. Geological Survey data portals and the National Aeronautics and Space Administration (NASA). The Central Asia data described in this paper can be accessed via the NASA repository at <a href="https://doi.org/10.5067/VQ4CD3Y9YC0R">https://doi.org/10.5067/VQ4CD3Y9YC0R</a> (Jacob and Slinski, 2021), and the global data described in this paper can be accessed via the NASA repository at <a href="https://doi.org/10.5067/5NHC22T9375G">https://doi.org/10.5067/5NHC22T9375G</a> (McNally, 2018).</p>https://essd.copernicus.org/articles/14/3115/2022/essd-14-3115-2022.pdf |
| spellingShingle | A. McNally A. McNally A. McNally J. Jacob J. Jacob K. Arsenault K. Arsenault K. Slinski K. Slinski D. P. Sarmiento D. P. Sarmiento A. Hoell S. Pervez J. Rowland M. Budde S. Kumar C. Peters-Lidard J. P. Verdin A Central Asia hydrologic monitoring dataset for food and water security applications in Afghanistan Earth System Science Data |
| title | A Central Asia hydrologic monitoring dataset for food and water security applications in Afghanistan |
| title_full | A Central Asia hydrologic monitoring dataset for food and water security applications in Afghanistan |
| title_fullStr | A Central Asia hydrologic monitoring dataset for food and water security applications in Afghanistan |
| title_full_unstemmed | A Central Asia hydrologic monitoring dataset for food and water security applications in Afghanistan |
| title_short | A Central Asia hydrologic monitoring dataset for food and water security applications in Afghanistan |
| title_sort | central asia hydrologic monitoring dataset for food and water security applications in afghanistan |
| url | https://essd.copernicus.org/articles/14/3115/2022/essd-14-3115-2022.pdf |
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