Mon Oct 13, F. Flechtner
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Yang, Qing, Li, MingXing, Zheng, ZiYan, and Ma, ZhuGuo, 2017. Regional applicability of seven meteorological drought indices in China. Science China Earth Sciences, 60(4):745–760, doi:10.1007/s11430-016-5133-5.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2017ScChD..60..745Y,
author = {{Yang}, Qing and {Li}, MingXing and {Zheng}, ZiYan and {Ma}, ZhuGuo},
title = "{Regional applicability of seven meteorological drought indices in China}",
journal = {Science China Earth Sciences},
keywords = {Drought index, Regional applicability, Terrestrial water storage, Soil moisture, Streamflow},
year = 2017,
month = apr,
volume = {60},
number = {4},
pages = {745-760},
abstract = "{The definition of a drought index is the foundation of drought research.
However, because of the complexity of drought, there is no a
unified drought index appropriate for different drought types
and objects at the same time. Therefore, it is crucial to
determine the regional applicability of various drought indices.
Using terrestrial water storage obtained from the Gravity
Recovery And Climate Experiment, and the observed soil moisture
and streamflow in China, we evaluated the regional applicability
of seven meteorological drought indices: the Palmer Drought
Severity Index (PDSI), modified PDSI (PDSI\_CN) based on
observations in China, self-calibrating PDSI (scPDSI), Surface
Wetness Index (SWI), Standardized Precipitation Index (SPI),
Standardized Precipitation Evapotranspiration Index (SPEI), and
soil moisture simulations conducted using the community land
model driven by observed atmospheric forcing (CLM3.5/ObsFC). The
results showed that the scPDSI is most appropriate for China.
However, it should be noted that the scPDSI reduces the value
range slightly compared with the PDSI and PDSI\_CN; thus, the
classification of dry and wet conditions should be adjusted
accordingly. Some problems might exist when using the PDSI and
PDSI\_CN in humid and arid areas because of the unsuitability of
empiricalparameters. The SPI and SPEI are more appropriate for
humid areas than arid and semiarid areas. This is because
contributions of temperature variation to drought are neglected
in the SPI, but overestimated in the SPEI, when potential
evapotranspiration is estimated by the Thornthwaite method in
these areas. Consequently, the SPI and SPEI tend to induce
wetter and drier results, respectively. The CLM3.5/ObsFC is
suitable for China before 2000, but not for arid and semiarid
areas after 2000. Consistent with other drought indices, the SWI
shows similar interannual and decadal change characteristics in
detecting annual dry/wet variations. Although the long-term
trends of drought areas in China detected by these seven drought
indices during 1961{\textendash}2013 are consistent, obvious
differences exist among the values of drought areas, which might
be attributable to the definitions of the drought indices in
addition to climatic change.}",
doi = {10.1007/s11430-016-5133-5},
adsurl = {https://ui.adsabs.harvard.edu/abs/2017ScChD..60..745Y},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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