Analyzing trend and forecasting of rainfall changes in India using non-parametrical and machine learning approaches

B Praveen, S Talukdar, Shahfahad, S Mahato… - Scientific reports, 2020 - nature.com
This study analyzes and forecasts the long-term Spatio-temporal changes in rainfall using
the data from 1901 to 2015 across India at meteorological divisional level. The Pettitt test …

Robustness of gridded precipitation products for Vietnam basins using the comprehensive assessment framework of rainfall

MH Le, R Zhang, BQ Nguyen, JD Bolten… - Atmospheric …, 2023 - Elsevier
The use of satellite–based precipitation products (SPPs) have become increasingly
prevalent as key inputs to provide regional rainfall for improving hydrological simulations in …

Evaluation of an urban drainage system and its resilience using remote sensing and GIS

GC Guptha, S Swain, N Al-Ansari, AK Taloor… - … Applications: Society and …, 2021 - Elsevier
The increasing number of pluvial floods due to extreme climatic events or poor maintenance
of the drainage networks urge for assessing the performance of the urban drainage system …

Simulated tropical precipitation assessed across three major phases of the coupled model intercomparison project (CMIP)

S Fiedler, T Crueger, R D'Agostino… - Monthly Weather …, 2020 - journals.ametsoc.org
The representation of tropical precipitation is evaluated across three generations of models
participating in phases 3, 5, and 6 of the Coupled Model Intercomparison Project (CMIP) …

Characteristics of extreme rainfall in different gridded datasets over India during 1983–2015

S Bhattacharyya, S Sreekesh, A King - Atmospheric Research, 2022 - Elsevier
Understanding the spatial and temporal occurrences of extreme rainfall events and their
changes is crucial for reducing the risk associated with extreme events, especially under …

Adequacy of satellite-derived precipitation estimate for hydrological modeling in Vietnam basins

MH Le, V Lakshmi, J Bolten, D Du Bui - Journal of Hydrology, 2020 - Elsevier
This study evaluates eight Satellite-derived Precipitation Estimate (SPE) datasets, which
include uncorrected SPE and gauge-corrected SPE products from Tropical Rainfall …

[HTML][HTML] An analysis of long-term rainfall trends and variability in the uttarakhand himalaya using google earth engine

A Banerjee, R Chen, M E. Meadows, RB Singh, S Mal… - Remote Sensing, 2020 - mdpi.com
This paper analyses the spatio-temporal trends and variability in annual, seasonal, and
monthly rainfall with corresponding rainy days in Bhilangana river basin, Uttarakhand …

Trend analysis and forecasting of meteorological variables in the lower Thoubal river watershed, India using non-parametrical approach and machine learning models

MH Rahaman, TK Saha, M Masroor, Roshani… - Modeling Earth Systems …, 2024 - Springer
Climate change, variability and their impact assessment are major concerns of the scientific
community across the world. Changes and variations in meteorological variables have …