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Analyzing trend and forecasting of rainfall changes in India using non-parametrical and machine learning approaches
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 …
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
The use of satellite–based precipitation products (SPPs) have become increasingly
prevalent as key inputs to provide regional rainfall for improving hydrological simulations in …
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
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 …
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)
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) …
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
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 …
changes is crucial for reducing the risk associated with extreme events, especially under …
[HTML][HTML] Quantification of gridded precipitation products for the streamflow simulation on the Mekong River basin using rainfall assessment framework: A case study for …
Many fields have identified an increasing need to use global satellite precipitation products
for hydrological applications, especially in ungauged basins. In this study, we conduct a …
for hydrological applications, especially in ungauged basins. In this study, we conduct a …
Adequacy of satellite-derived precipitation estimate for hydrological modeling in Vietnam basins
This study evaluates eight Satellite-derived Precipitation Estimate (SPE) datasets, which
include uncorrected SPE and gauge-corrected SPE products from Tropical Rainfall …
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
This paper analyses the spatio-temporal trends and variability in annual, seasonal, and
monthly rainfall with corresponding rainy days in Bhilangana river basin, Uttarakhand …
monthly rainfall with corresponding rainy days in Bhilangana river basin, Uttarakhand …
[HTML][HTML] Assessment of urbanization-induced land-use change and its impact on temperature, evaporation, and humidity in central Vietnam
In the present day, the acceleration of urban surface heat impacts resulting from
urbanization and industrialization is critical for citizens and municipal governments in …
urbanization and industrialization is critical for citizens and municipal governments in …
Trend analysis and forecasting of meteorological variables in the lower Thoubal river watershed, India using non-parametrical approach and machine learning models
Climate change, variability and their impact assessment are major concerns of the scientific
community across the world. Changes and variations in meteorological variables have …
community across the world. Changes and variations in meteorological variables have …