An appraisal of the local-scale spatio-temporal variations of drought based on the integrated GRACE/GRACE-FO observations and fine-resolution FLDAS model

Khorrami, Behnam1; Ali, Shoaib2; Gunduz, Orhan3

2023-11-01

10.1002/hyp.15034

HYDROLOGICAL PROCESSES   影响因子和分区

0885-6087

1099-1085

The gravity recovery and climate experiment (GRACE) observations have so far been utilized to detect and trace the variations of hydrological extremes worldwide. However, applying the coarse resolution GRACE estimates for local-scale analysis remains a big challenge. In this study, a new version of the fine resolution (1 km) Famine early warning systems network Land Data Assimilation System (FLDAS) model data was integrated into a machine learning model along with the GRACE data to evaluate the subbasin-scale variations of water storage, and drought. With a correlation of 0.99 and a root mean square error (RMSE) of 3.93mm of its results, the downscaling model turned out to be very successful in modelling the finer resolution variations of TWSA. The water storage deficit (WSD) and Water Storage Deficit Index (WSDI) were used to determine the episodes and severity of drought events. Accordingly, two severe droughts (January 2008 to March 2009 and September 2019 to December 2020) were discerned in the Kizilirmak Basin (KB) located in Central Turkiye. The characterization of droughts was evaluated based on WSDI, scPDSI, and model-based drought indices of the soil moisture storage percentile (SMSP) and groundwater storage percentile (GWSP). The results indicated discrepancies in the drought classes based on different indices. However, the WSDI turned out to be more correlated with GWSP, suggesting its high ability to monitor groundwater droughts as well.

downscaling drought FLDAS GRACE Kizilirmak basin random forest

SCI ; EI

英语

其他

Water Resources

Water Resources

WOS:001107848000001

WILEY

20234715106277

Digital storage ; Food supply ; Forestry ; Groundwater ; Mean square error ; Soil moisture ; Water supply

Precipitation:443.3 ; Water Resources:444 ; Groundwater:444.2 ; Water Supply Systems:446.1 ; Soils and Soil Mechanics:483.1 ; Data Storage, Equipment and Techniques:722.1 ; Agricultural Equipment and Methods; Vegetation and Pest Control:821 ; Food Products:822.3 ; Mathematical Statistics:922.2

ENVIRONMENT/ECOLOGY

Web of Science

1.Dokuz Eylul Univ, Grad Sch Nat & Appl Sci, Dept GIS, Izmir, Turkiye
2.Southern Univ Sci & Technol, Dept Earth & Space Sci, Shenzhen, Peoples R China
3.Izmir Inst Technol, Dept Environm Engn, Izmir, Turkiye

Khorrami, Behnam,Ali, Shoaib,Gunduz, Orhan. An appraisal of the local-scale spatio-temporal variations of drought based on the integrated GRACE/GRACE-FO observations and fine-resolution FLDAS model[J]. HYDROLOGICAL PROCESSES,2023,37(11).

Khorrami, Behnam,Ali, Shoaib,&Gunduz, Orhan.(2023).An appraisal of the local-scale spatio-temporal variations of drought based on the integrated GRACE/GRACE-FO observations and fine-resolution FLDAS model.HYDROLOGICAL PROCESSES,37(11).

Khorrami, Behnam,et al."An appraisal of the local-scale spatio-temporal variations of drought based on the integrated GRACE/GRACE-FO observations and fine-resolution FLDAS model".HYDROLOGICAL PROCESSES 37.11(2023).