Itable for quiet geomagnetic time periods. The effectiveness in the method in the course of intense geomagnetic storms demands to become further investigated.Author Contributions: Developed the fundamental idea of the paper, K.L.; developed the experiments and analysis tools, performed the experiments, and analyzed the data, K.L. and Z.Y.; participated in discussion and interpretation from the information, C.Z., Q.Z., H.W., D.S. and X.D.; wrote the paper, K.L. and Z.Y. All authors have read and agreed for the published version on the manuscript. Funding: This study was funded by the National All-natural Science Foundation of China (grant no. 61971385). Acknowledgments: The authors would prefer to thank the Beijing Institute of Tracking and Telecommunications Technology for organizing and conducting experiments, and thank the Yunnan Observatory and also the National Time Service Center on the Chinese Academy of Sciences in Yunnan for providingAtmosphere 2021, 12,ten ofCAPS system information. This investigation was funded by the National Organic Science Foundation of China (grants no. 61971385). Conflicts of Interest: The authors declare no conflict of interest.
atmosphereArticlePrecipitation Trends within the GangesBrahmaputraMeghna River Basin, South Asia: CYM5442 Agonist Inconsistency in SatelliteBased ProductsMuna Khatiwada 1, and Scott Curtis1Department of Geography, Organizing, and Atmosphere, East Carolina University, Greenville, NC 27858, USA Lt Col James B. Near, Jr., USAF, ’77 Center for Climate Research, The Citadel, Charleston, NC 29409, USA; [email protected] Correspondence: [email protected]: Khatiwada, M.; Curtis, S. Precipitation Trends within the GangesBrahmaputraMeghna River Basin, South Asia: Inconsistency in SatelliteBased Solutions. Atmosphere 2021, 12, 1155. https://doi.org/ 10.3390/atmos12091155 Academic Editors: Satyaban Bishoyi Ratna and Annalisa Cherchi Received: 28 July 2021 Accepted: two September 2021 Published: 8 SeptemberAbstract: The GangesBrahmaputraMeghna (GBM) river basin may be the world’s third largest. Literature show that adjustments in precipitation have a important influence on climate, agriculture, along with the atmosphere inside the GBM. Two satellitebased precipitation solutions, Precipitation Estimation from Remotely Sensed Info employing Artificial Neural NetworksClimate Information Record (PERSIANNCDR) and MultiSource WeightedEnsemble Precipitation (MSWEP), have been made use of to analyze and evaluate precipitation trends over the GBM as a complete and inside 34 predefined hydrological subbasins separately for the period 1983019. A nonparametric Modified MannKendall test was applied to establish considerable trends in CC-99677 custom synthesis monsoon (June eptember) and premonsoon (March ay) precipitation. The results show an inconsistency between the two precipitation solutions. Namely, the MSWEP premonsoon precipitation trend has substantially elevated (Zvalue = two.236, p = 0.025), as well as the PERSIANNCDR monsoon precipitation trend has substantially decreased (Zvalue = 33.071, p 0.000). Nevertheless, both items strongly indicate that precipitation has not too long ago declined within the premonsoon and monsoon seasons within the eastern and southern regions with the GBM river basin, agreeing with numerous earlier studies. Additional function is needed to recognize the causes behind inconsistent decreasing and growing precipitation trends inside the GBM river basin. Search phrases: GangesBrahmaputraMeghna (GBM); premonsoon; monsoon; Modified Mann endall1. Introduction Precipitation is among the most significant climatic variables [1,2] and includes a dir.