The Value of Remotely Sensed Information: The Case of a GRACE-Enhanced Drought Severity Index
dc.contributor.author | Bernknopf, Richard | |
dc.contributor.author | Brookshire, David | |
dc.contributor.author | Kuwayama, Yusuke | |
dc.contributor.author | Macauley, Molly | |
dc.contributor.author | Rodell, Matthew | |
dc.contributor.author | Thompson, Alexandra | |
dc.contributor.author | Vail, Peter | |
dc.contributor.author | Zaitchik, Benjamin | |
dc.date.accessioned | 2024-08-07T14:07:46Z | |
dc.date.available | 2024-08-07T14:07:46Z | |
dc.date.issued | 2018-01-01 | |
dc.description.abstract | A decision framework is developed for quantifying the economic value of information (VOI) from the Gravity Recovery and Climate Experiment (GRACE) satellite mission for drought monitoring, with a focus on the potential contributions of groundwater storage and soil moisture measurements from the GRACE data assimilation (GRACE-DA) system. The study consists of (i) the development of a conceptual framework to evaluate the socioeconomic value of GRACE-DA as a contributing source of information to drought monitoring; (ii) structured listening sessions to understand the needs of stakeholders who are affected by drought monitoring; (iii) econometric analysis based on the conceptual framework that characterizes the contribution of GRACE-DA to the U.S. Drought Monitor (USDM) in capturing the effects of drought on the agricultural sector; and (iv) a demonstration of how the improved characterization of drought conditions may influence decisions made in a real-world drought disaster assistance program. Results show that GRACE-DA has the potential to lower the uncertainty associated with the understanding of drought and that this improved understanding has the potential to change policy decisions that lead to tangible societal benefits. | |
dc.description.sponsorship | The authors wish to thank Sara Pesko for excellent research assistance, and Bradley Doorn and Mark Svoboda for valuable comments and suggestions. This project was completed with financial support from the National Aeronautics and Space Administration NNX09A01G. | |
dc.description.uri | https://journals.ametsoc.org/view/journals/wcas/10/1/wcas-d-16-0044_1.xml | |
dc.format.extent | 17 pages | |
dc.genre | journal articles | |
dc.identifier | doi:10.13016/m2hxzy-k4am | |
dc.identifier.citation | Bernknopf, Richard, David Brookshire, Yusuke Kuwayama, Molly Macauley, Matthew Rodell, Alexandra Thompson, Peter Vail, and Benjamin Zaitchik. “The Value of Remotely Sensed Information: The Case of a GRACE-Enhanced Drought Severity Index,” Weather, Climate, and Society 10, no. 1 (January 1, 2018): 187 - 203. https://doi.org/10.1175/WCAS-D-16-0044.1. | |
dc.identifier.uri | https://doi.org/10.1175/WCAS-D-16-0044.1 | |
dc.identifier.uri | http://hdl.handle.net/11603/35235 | |
dc.language.iso | en_US | |
dc.publisher | AMS | |
dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
dc.relation.ispartof | UMBC School of Public Policy | |
dc.rights | This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law. | |
dc.rights | Public Domain | |
dc.rights.uri | https://creativecommons.org/publicdomain/mark/1.0/ | |
dc.subject | Adaptive models | |
dc.subject | Statistics | |
dc.subject | Risk assessment | |
dc.subject | Regional models | |
dc.subject | Bayesian methods | |
dc.title | The Value of Remotely Sensed Information: The Case of a GRACE-Enhanced Drought Severity Index | |
dc.type | Text |
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