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 …

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 …

[HTML][HTML] 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
Simulated Tropical Precipitation Assessed across Three Major Phases of the Coupled Model
Intercomparison Project (CMIP) in: Monthly Weather Review Volume 148 Issue 9 (2020) Jump …

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 …

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 …

[HTML][HTML] 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 …

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 …

Ground validation of GPM IMERG precipitation products over Iran

FF Maghsood, H Hashemi, SH Hosseini, R Berndtsson - Remote Sensing, 2019 - mdpi.com
Accurate estimation of precipitation is crucial for fundamental input to various
hydrometeorological applications. Ground-based precipitation data suffer limitations …

Geospatial drought severity analysis based on PERSIANN-CDR-estimated rainfall data for Odisha state in India (1983–2018)

CAG Santos, RMB Neto, TVM do Nascimento… - Science of the Total …, 2021 - Elsevier
Studying the behavior of drought and its short-, medium-and long-term features throughout a
region is very important for the creation of adequate public policies and actions aimed at the …

Assessment of urbanization-induced land-use change and its impact on temperature, evaporation, and humidity in central Vietnam

BQ Nguyen, TND Tran, M Grodzka-Łukaszewska… - Water, 2022 - mdpi.com
In the present day, the acceleration of urban surface heat impacts resulting from
urbanization and industrialization is critical for citizens and municipal governments in …