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| Titel |
An extended multivariate framework for drought monitoring in Mexico |
| VerfasserIn |
Roberto Real-Rangel, Adrian Pedrozo-Acuña, Agustin Breña-Naranjo, Víctor Alcocer-Yamanaka |
| Konferenz |
EGU General Assembly 2017
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 19 (2017) |
| Datensatznummer |
250139330
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| Publikation (Nr.) |
 EGU/EGU2017-2548.pdf |
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| Zusammenfassung |
| Around the world, monitoring natural hazards, such as droughts, represents a critical task in
risk assessment and management plans. A reliable drought monitoring system allows to
identify regions affected by these phenomena so that early response measures can be
implemented. In Mexico, this activity is performed using Mexico’s Drought Monitor, which
is based on a similar methodology as the United States Drought Monitor and the North
American Drought Monitor. The main feature of these monitoring systems is the combination
of ground-based and remote sensing observations that is ultimately validated by local experts.
However, in Mexico in situ records of variables such as precipitation and streamflow are
often scarce, or even null, in many regions of the country. Another issue that adds
uncertainty in drought monitoring is the arbitrary weight given to each analyzed
variable.
This study aims at providing an operational framework for drought monitoring in Mexico,
based on univariate and multivariate nonparametric standardized indexes proposed in recent
studies. Furthermore, the framework has been extended by taking into account the
Enhanced Vegetation Index (EVI) for the drought severity assessment. The analyzed
variables used for computing the drought indexes are mainly derived from remote
sensing (MODIS) and land surface models datasets (NASA MERRA-2). A qualitative
evaluation of the results shows that the indexes used are capable of adequately
describes the intensity and spatial distribution of past drought documented events. |
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