Publication Type : Conference Paper
Thematic Areas : Wireless Network and Application
Publisher : The American Geophysical Union (AGU) (Oral Presentation), Washington DC, USA
Source : The American Geophysical Union (AGU) (Oral Presentation), Washington DC, USA (2018)
Campus : Amritapuri
School : School of Engineering
Center : Amrita Center for Wireless Networks and Applications (AmritaWNA)
Department : Wireless Networks and Applications (AWNA)
Year : 2018
Abstract : Drought not only leads to a significant shortage of available water but also reduces the subsurface storage, which may have long-term consequence in its total recovery. Most of the existing drought indices are based on either precipitation, discharge or surface soil moisture, and they do not provide expected recovery duration. Even normal rainfall just after a long drought may show signs of immediate improvement on the surface, but the system beneath might still be in stress and may need longer time to get back to normal. It is essential to know some expected recovery period to manage the available resources in a way to avoid reoccurring quick drought and bring the system to its complete balance. This study investigates the likelihood of the drought recovery period on a global scale.
Cite this Research Publication : Alka Singh, Reager, J. T., and Behrangi, A., “Probabilistic drought recovery analysis using GRACE and precipitation data”, in The American Geophysical Union (AGU) (Oral Presentation), Washington DC, USA, 2018.