Articles | Volume 14, issue 7
https://doi.org/10.5194/essd-14-3115-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-3115-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
08 Jul 2022
Data description paper |
| 08 Jul 2022
| 08 Jul 2022
A Central Asia hydrologic monitoring dataset for food and water security applications in Afghanistan
Amy McNally
CORRESPONDING AUTHOR
NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States
Science Applications International Corporation Inc., Reston, VA 20190, United States
U.S. Agency for International Development, Washington, DC 20523, United States
Jossy Jacob
NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States
Science Systems and Applications Inc., Lanham, MD 20706, United States
Kristi Arsenault
NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States
Science Applications International Corporation Inc., Reston, VA 20190, United States
Kimberly Slinski
NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States
Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, United States
Daniel P. Sarmiento
NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States
Science Applications International Corporation Inc., Reston, VA 20190, United States
Andrew Hoell
Physical Science Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO 80305, United States
Shahriar Pervez
Arctic Slope Regional Corporation Federal Data Solutions, Contractor to U.S. Geological Survey, Earth Resources Observation and Science (EROS) Center, Sioux Falls, SD 57198, United States
James Rowland
EROS Center, U.S. Geological Survey, Sioux Falls, SD 57198, United States
Mike Budde
EROS Center, U.S. Geological Survey, Sioux Falls, SD 57198, United States
Sujay Kumar
NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States
Christa Peters-Lidard
NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States
James P. Verdin
U.S. Agency for International Development, Washington, DC 20523, United States
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Michiel Maertens, Gabriëlle J. M. De Lannoy, Sebastian Apers, Sujay V. Kumar, and Sarith P. P. Mahanama
Hydrol. Earth Syst. Sci., 25, 4099–4125, https://doi.org/10.5194/hess-25-4099-2021, https://doi.org/10.5194/hess-25-4099-2021, 2021
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In this study, we simulated the water balance over the South American Dry Chaco and assessed the impact of land cover changes thereon using three different land surface models. Our simulations indicated that different models result in a different partitioning of the total water budget, but all showed an increase in soil moisture and percolation over the deforested areas. We also found that, relative to independent data, no specific land surface model is significantly better than another.
Rhae Sung Kim, Sujay Kumar, Carrie Vuyovich, Paul Houser, Jessica Lundquist, Lawrence Mudryk, Michael Durand, Ana Barros, Edward J. Kim, Barton A. Forman, Ethan D. Gutmann, Melissa L. Wrzesien, Camille Garnaud, Melody Sandells, Hans-Peter Marshall, Nicoleta Cristea, Justin M. Pflug, Jeremy Johnston, Yueqian Cao, David Mocko, and Shugong Wang
The Cryosphere, 15, 771–791, https://doi.org/10.5194/tc-15-771-2021, https://doi.org/10.5194/tc-15-771-2021, 2021
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High SWE uncertainty is observed in mountainous and forested regions, highlighting the need for high-resolution snow observations in these regions. Substantial uncertainty in snow water storage in Tundra regions and the dominance of water storage in these regions points to the need for high-accuracy snow estimation. Finally, snow measurements during the melt season are most needed at high latitudes, whereas observations at near peak snow accumulations are most beneficial over the midlatitudes.
Yifan Zhou, Benjamin F. Zaitchik, Sujay V. Kumar, Kristi R. Arsenault, Mir A. Matin, Faisal M. Qamer, Ryan A. Zamora, and Kiran Shakya
Hydrol. Earth Syst. Sci., 25, 41–61, https://doi.org/10.5194/hess-25-41-2021, https://doi.org/10.5194/hess-25-41-2021, 2021
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South and Southeast Asia face significant food insecurity and hydrological hazards. Here we introduce a South and Southeast Asia hydrological monitoring and sub-seasonal to seasonal forecasting system (SAHFS-S2S) to help local governments and decision-makers prepare for extreme hydroclimatic events. The monitoring system captures soil moisture variability well in most regions, and the forecasting system offers skillful prediction of soil moisture variability 2–3 months in advance, on average.
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Short summary
The Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS) global and Central Asia data streams described here generate routine estimates of snow, soil moisture, runoff, and other variables useful for tracking water availability. These data are hosted by NASA and USGS data portals for public use.
The Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS) global...
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