A Central Asia hydrologic monitoring dataset for food and water security applications in Afghanistan

McNally, Amy; Jacob, Jossy; Arsenault, Kristi; Slinski, Kimberly; Sarmiento, Daniel P.; Hoell, Andrew; Pervez, Shahriar; Rowland, James; Budde, Mike; Kumar, Sujay; Peters-Lidard, Christa; Verdin, James P.

doi:https://doi.org/10.5194/essd-14-3115-2022

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.

https://doi.org/10.5194/essd-14-3115-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 7

Data description paper

|

08 Jul 2022

Data description paper |

| 08 Jul 2022

A Central Asia hydrologic monitoring dataset for food and water security applications in Afghanistan

Amy McNally, Jossy Jacob, Kristi Arsenault, Kimberly Slinski, Daniel P. Sarmiento, Andrew Hoell, Shahriar Pervez, James Rowland, Mike Budde, Sujay Kumar, Christa Peters-Lidard, and James P. Verdin

Data sets

FLDAS Noah Land Surface Model L4 Central Asia Daily 0.01 x 0.01 degree (FLDAS_NOAH001_G_CA_D) Jossy Jacob and Kimberly Slinski https://doi.org/10.5067/VQ4CD3Y9YC0R

FLDAS Noah Land Surface Model L4 Global Monthly 0.1 x 0.1 degree (FLDAS_NOAH01_C_GL_M) Amy McNally https://doi.org/10.5067/5NHC22T9375G

Model code and software

Land Information System Framework version LISF-public-7.3.2 forked as almcnall/LISF: LISF-public-7.3.2 J. Geiger and S. Kumar https://doi.org/10.5281/zenodo.6795120

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.