Literature DB >> 29643983

The Value of Remotely Sensed Information: The Case of GRACE-Enhanced Drought Severity Index.

Richard Bernknopf1, David Brookshire1, Yusuke Kuwayama2, Molly Macauley2, Matthew Rodell3, Alexandra Thompson2, Peter Vail2, Benjamin Zaitchik4.   

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: (a) the development of a conceptual framework to evaluate the socioeconomic value of GRACE-DA as a contributing source of information to drought monitoring; (b) structured listening sessions to understand the needs of stakeholders who are affected by drought monitoring; (c) econometric analysis based on the conceptual framework that characterizes the contribution of GRACE-DA to the US Drought Monitor (USDM) in capturing the effects of drought on the agricultural sector; and (d) 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 our understanding of drought, and that this improved understanding has the potential to change policy decisions that lead to tangible societal benefits.

Entities:  

Keywords:  Drought; GRACE; Groundwater; Soil moisture; Value of information

Year:  2018        PMID: 29643983      PMCID: PMC5889944          DOI: 10.1175/WCAS-D-16-0044.1

Source DB:  PubMed          Journal:  Weather Clim Soc        ISSN: 1948-8327            Impact factor:   3.019


  1 in total

1.  On the use of Bayesian decision theory for issuing natural hazard warnings.

Authors:  T Economou; D B Stephenson; J C Rougier; R A Neal; K R Mylne
Journal:  Proc Math Phys Eng Sci       Date:  2016-10       Impact factor: 2.704

  1 in total

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