The reconnaissance drought index: A method for detecting regional arid climatic variability and potential drought risk

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The reconnaissance drought index : A method for detecting regional arid climatic variability and potential drought risk. / Mohammed, Ruqayah; Scholz, Miklas.

In: Journal of Arid Environments, Vol. 144, 09.2017, p. 181-191.

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TY - JOUR

T1 - The reconnaissance drought index

T2 - Journal of Arid Environments

AU - Mohammed, Ruqayah

AU - Scholz, Miklas

PY - 2017/9

Y1 - 2017/9

N2 - The impact of climate variability on water demand and availability in drylands is substantial. Establishing methods to analyse precipitation (P) and evapotranspiration data sets may generate useful tools that assist in drought recognition and regional variations therein. The authors developed an index that simultaneous integrates both these variables in climate variability analysis. This study proposes the alpha and normalised forms of the reconnaissance drought index (RDI) as a single climatic index for the recognition of geographical areas with differing drought characteristics and potential weather variability. The prime application is that the RDI combines in a single index both P and potential evapotranspiration. A more consistent trend of climate variability can be identified by applying time series of different durations of RDI compared to using time series of P and potential evapotranspiration separately. The researchers explore this approach using meteorological data form 24 locations representing arid, semi-arid (Mediterranean (MD), tropical (TR), continental (CN)), and humid climatic conditions. The method is then tested through application to the semi-arid Lower Zab River basin (LZRB) in Iran and Iraq. Findings show that many regions such as the LZRB will face major droughts, indicating that there is an urgent requirement to advance water management strategies.

AB - The impact of climate variability on water demand and availability in drylands is substantial. Establishing methods to analyse precipitation (P) and evapotranspiration data sets may generate useful tools that assist in drought recognition and regional variations therein. The authors developed an index that simultaneous integrates both these variables in climate variability analysis. This study proposes the alpha and normalised forms of the reconnaissance drought index (RDI) as a single climatic index for the recognition of geographical areas with differing drought characteristics and potential weather variability. The prime application is that the RDI combines in a single index both P and potential evapotranspiration. A more consistent trend of climate variability can be identified by applying time series of different durations of RDI compared to using time series of P and potential evapotranspiration separately. The researchers explore this approach using meteorological data form 24 locations representing arid, semi-arid (Mediterranean (MD), tropical (TR), continental (CN)), and humid climatic conditions. The method is then tested through application to the semi-arid Lower Zab River basin (LZRB) in Iran and Iraq. Findings show that many regions such as the LZRB will face major droughts, indicating that there is an urgent requirement to advance water management strategies.

KW - Climate change

KW - Decision-making

KW - Drought indicator

KW - Hydrological processes

KW - Trend detection

KW - Water resources management

UR - http://www.scopus.com/inward/record.url?scp=85017507880&partnerID=8YFLogxK

U2 - 10.1016/j.jaridenv.2017.03.014

DO - 10.1016/j.jaridenv.2017.03.014

M3 - Article

VL - 144

SP - 181

EP - 191

JO - Journal of Arid Environments

JF - Journal of Arid Environments

SN - 1095-922X

ER -