E a single identified by the neighborhood drought meteorological data. Furthermore, in
E one particular identified by the regional drought meteorological information. Also, in NE, there is certainly no false detected drought event. The FAR is mostly brought on by the inconsistency inside the duration of drought events determined by the kinds of information. It may be brought on by the inconsistency within the definition of drought events amongst the two data. The GRACE-DSI is applied primarily to detect the hydrological drought, when the regional meteorological drought information is extra concerned using the influence of drought on agriculture and social economy [5]. Despite the fact that the outcomes show that by far the most suitable detection thresholds of various regions are distinctive, but for the reason that the analysis regions involved within this paper are less, it’s not adequate to assistance the above outcomes. Further, it really is beyond the scope of this paper. Our analysis outcomes show that the drought characterization method primarily based on GRACE-DSI can monitor and characterize the regional drought events. On top of that, it proves that making use of nearby drought information to calibrate the drought characterization method is definitely an successful suggests to improve the drought detection capability of your strategy. Even so, the nearby drought information within this paper only gives the start out and finish time of drought events and lacks other drought characteristic information. For that reason, obtaining much more detailed regional drought information is an significant follow-up work of our study. 7. Conclusions Within this paper, we combined the local drought information and GRACE TWSC information to construct a drought characterization method, and utilised this method to monitor and characterize the drought events in MC from April 2002 to July 2020. PAI was applied to confirm the drought severity derived from GRACE-DSI. The results show that immediately after the local drought data was calibrated, the total POD of the drought characterization approach improved by 65.69 . We also utilised the local drought data from 2016 to 2019 to evaluate the POD from the calibrated strategy. The results show that the POD reached 98.08 . Ultimately, by PF-05105679 Autophagy comparing PAI, we found that the drought severity determined by the calibrated strategy includes a certain degree of reliability. Our study outcomes have specific reference significance for accurately quantifying drought qualities, as well as enable to comprehend early warning of drought events and give powerful scientific assistance for relevant government departments to formulate drought resistance and disaster reduction policies.Author Contributions: Conceptualization, L.C. and Q.L.; methodology, L.C.; software, C.Z.; validation, L.C. and C.Z.; sources, L.L.; data curation, L.C.; writing–original draft preparation, L.C.; writing–review and editing, L.C., X.W. and Q.L.; visualization, L.C.; supervision, Z.L.; funding acquisition, Z.L. All authors have study and agreed for the published version of your manuscript. Funding: This analysis was funded by the National Key R D System of China (Grant No. 2018YFC1503503), the National Natural Science PSB-603 site Foundation of China (Grant No. 41931074, 42061134007), the project funded by the Key Laboratory of Geospace Atmosphere and Geodesy, Ministry of Education, Wuhan University (Grant No. 16-01-04, 18-02-04). Institutional Overview Board Statement: Not applicable. Informed Consent Statement: Not applicable. Data Availability Statement: GRACE/GRACE-FO RL06 information: http://icgem.gfz-potsdam.de/series (accessed on 16 September 2021); Reconstructed TWSC information: (http://data.tpdc.ac.cn); SPEI data: (http://spei.csic.es/); SCPDSI data: (https://crudata.uea.ac.uk/cru/data/droug.