scholarly journals Use of a standardized runoff index for characterizing hydrologic drought

2008 ◽  
Vol 35 (2) ◽  
Author(s):  
Shraddhanand Shukla ◽  
Andrew W. Wood
Keyword(s):  
Hydrologic Drought ◽  
Standardized Runoff Index

scholarly journals Unravelling the role of vegetation on the different trends between climatic and hydrologic drought in headwater catchments of Spain

Anthropocene ◽  
2021 ◽  
Vol 36 ◽  
pp. 100309
Author(s):  
D. Peña-Angulo ◽  
S.M. Vicente-Serrano ◽  
F. Domínguez-Castro ◽  
I. Noguera ◽  
M. Tomas-Burguera ◽  
...  
Keyword(s):  
Headwater Catchments ◽  
Hydrologic Drought

scholarly journals The Evaporative Demand Drought Index. Part II: CONUS-Wide Assessment against Common Drought Indicators

2016 ◽  
Vol 17 (6) ◽  
pp. 1763-1779 ◽  
Author(s):  
Daniel J. McEvoy ◽  
Justin L. Huntington ◽  
Michael T. Hobbins ◽  
Andrew Wood ◽  
Charles Morton ◽  
...  
Keyword(s):  
United States ◽  
Soil Moisture ◽  
Time Scales ◽  
Drought Index ◽  
Standardized Precipitation Index ◽  
Stress Index ◽  
Multiple Time Scales ◽  
Multiple Time ◽  
Evaporative Demand ◽  
Hydrologic Drought

Abstract Precipitation, soil moisture, and air temperature are the most commonly used climate variables to monitor drought; however, other climatic factors such as solar radiation, wind speed, and humidity can be important drivers in the depletion of soil moisture and evolution and persistence of drought. This work assesses the Evaporative Demand Drought Index (EDDI) at multiple time scales for several hydroclimates as the second part of a two-part study. EDDI and individual evaporative demand components were examined as they relate to the dynamic evolution of flash drought over the central United States, characterization of hydrologic drought over the western United States, and comparison to commonly used drought metrics of the U.S. Drought Monitor (USDM), Standardized Precipitation Index (SPI), Standardized Soil Moisture Index (SSI), and the evaporative stress index (ESI). Two main advantages of EDDI over other drought indices are that it is independent of precipitation (similar to ESI) and it can be decomposed to identify the role individual evaporative drivers have on drought onset and persistence. At short time scales, spatial distributions and time series results illustrate that EDDI often indicates drought onset well in advance of the USDM, SPI, and SSI. Results illustrate the benefits of physically based evaporative demand estimates and demonstrate EDDI’s utility and effectiveness in an easy-to-implement agricultural early warning and long-term hydrologic drought–monitoring tool with potential applications in seasonal forecasting and fire-weather monitoring.

Potential extents for ENSO-driven hydrologic drought forecasts in the United States

2009 ◽  
Vol 101 (3-4) ◽  
pp. 575-597 ◽  
Author(s):  
Jae H. Ryu ◽  
Mark D. Svoboda ◽  
John D. Lenters ◽  
Tsegaye Tadesse ◽  
Cody L. Knutson
Keyword(s):  
United States ◽  
The United States ◽  
Hydrologic Drought

Hydrologic Drought Change Detection

2019 ◽  
Vol 20 (1) ◽  
pp. 04018022
Author(s):  
Masoud Nasri ◽  
Reza Modarres
Keyword(s):  
Change Detection ◽  
Hydrologic Drought

scholarly journals Controls on hydrologic drought duration in near-natural streamflow in Europe and the USA

2016 ◽  
Vol 20 (10) ◽  
pp. 4043-4059 ◽  
Author(s):  
Erik Tijdeman ◽  
Sophie Bachmair ◽  
Kerstin Stahl
Keyword(s):  
Large Scale ◽  
Aridity Index ◽  
Base Flow ◽  
Classification Systems ◽  
Flow Index ◽  
Climate Classification ◽  
Drought Duration ◽  
Base Flow Index ◽  
The Usa ◽  
Hydrologic Drought

Abstract. Climate classification systems, such as Köppen–Geiger and the aridity index, are used in large-scale drought studies to stratify regions with similar hydro-climatic drought properties. What is currently lacking is a large-scale evaluation of the relation between climate and observed streamflow drought characteristics. In this study we explored how suitable common climate classifications are for differentiating catchments according to their characteristic hydrologic drought duration and whether drought durations within the same climate classes are comparable between different regions. This study uses a dataset of 808 near-natural streamflow records from Europe and the USA to answer these questions. First, we grouped drought duration distributions of each record over different classes of four climate classification systems and five individual climate and catchment controls. Then, we compared these drought duration distributions of all classes within each climate classification system or classification based on individual controls. Results showed that climate classification systems that include absolute precipitation in their classification scheme (e.g., the aridity index) are most suitable for differentiating catchments according to drought duration. However, differences in duration distributions were found for the same climate classes in Europe and the USA. These differences are likely caused by differences in precipitation, in catchment controls as expressed by the base flow index and in differences in climate beyond the total water balance (e.g., seasonality in precipitation), which have been shown to exert a control on drought duration as well. Climate classification systems that include an absolute precipitation control can be tailored to drought monitoring and early warning systems for Europe and the USA to define regions with different sensitivities to hydrologic droughts, which, for example, have been found to be higher in catchments with a low aridity index. However, stratification of catchments according to these climate classification systems is likely to be complemented with information of other climate classification systems (Köppen–Geiger) and individual climate and catchment controls (precipitation and the base flow index), especially in a comparative study between Europe and the USA.

Drought assessment for real-time hydrologic drought index of the Nakdong River Basin in Korea

2013 ◽  
Vol 52 (13-15) ◽  
pp. 2826-2832 ◽  
Author(s):  
Sangman Jeong ◽  
Insang Yu ◽  
Micah Lourdes A. Felix ◽  
Sangdan Kim ◽  
Kukryul Oh
Keyword(s):  
Real Time ◽  
River Basin ◽  
Drought Index ◽  
Nakdong River ◽  
Drought Assessment ◽  
Nakdong River Basin ◽  
The Nakdong River ◽  
Hydrologic Drought

An Evaluation of Multiscalar Drought Indices in Nevada and Eastern California

2012 ◽  
Vol 16 (18) ◽  
pp. 1-18 ◽  
Author(s):  
Daniel J. McEvoy ◽  
Justin L. Huntington ◽  
John T. Abatzoglou ◽  
Laura M. Edwards
Keyword(s):  
Great Basin ◽  
Arid Regions ◽  
Standardized Precipitation Index ◽  
The United States ◽  
Drought Indices ◽  
Reservoir Water ◽  
Mountainous Regions ◽  
Simple Term ◽  
The Standardized Precipitation Index ◽  
Hydrologic Drought

Abstract Nevada and eastern California are home to some of the driest and warmest climates, most mountainous regions, and fastest growing metropolitan areas of the United States. Throughout Nevada and eastern California, snow-dominated watersheds provide most of the water supply for both human and environmental demands. Increasing demands on finite water supplies have resulted in the need to better monitor drought and its associated hydrologic and agricultural impacts. Two multiscalar drought indices, the standardized precipitation index (SPI) and the standardized precipitation evapotranspiration index (SPEI), are evaluated over Nevada and eastern California regions of the Great Basin using standardized streamflow, lake, and reservoir water surface stages to quantify wet and dry periods. Results show that both metrics are significantly correlated to surface water availability, with SPEI showing slightly higher correlations over SPI, suggesting that the inclusion of a simple term for atmospheric demand in SPEI is useful for characterizing hydrologic drought in arid regions. These results also highlight the utility of multiscalar drought indices as a proxy for summer groundwater discharge and baseflow periods.

Probability of hydrologic drought duration and intensity of Xijiang River

2013 ◽  
Vol 25 (4) ◽  
pp. 576-582 ◽  
Author(s):  
CHEN Zishen ◽  
◽  
LIU Zhanming ◽  
HUANG Qiang
Keyword(s):  
Drought Duration ◽  
Xijiang River ◽  
Hydrologic Drought
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