Evaluation of multi‐site precipitation generators across scales
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Climatology"
DOI: 10.1002/joc.6480
Abstract: Precipitation generators that are able to simulate long‐term, continuous rainfall records, with the observed statistics preserved, have shown great utility in numerous hydro‐climatic applications. This study adopts precipitation generators from four open‐source or freely available… read more here.
Keywords: precipitation generators; weather; multi site; rainfall data ... See more keywords
Comparison of dynamical and statistical rainfall downscaling of CMIP5 ensembles at a small urban catchment scale
Sign Up to like & getrecommendations! Published in 2019 at "Stochastic Environmental Research and Risk Assessment"
DOI: 10.1007/s00477-019-01678-y
Abstract: Downscaling of future projections of climatic variables from global climate models (GCMs) to urban catchment scales is required for stormwater studies as existing GCMs are unable to predict the rainfall at high temporal and spatial… read more here.
Keywords: small urban; urban catchment; climate; rainfall data ... See more keywords
The effect of simple imputations based on four variants of PCA methods on the quantiles of annual rainfall data
Sign Up to like & getrecommendations! Published in 2018 at "Environmental Monitoring and Assessment"
DOI: 10.1007/s10661-018-6913-y
Abstract: Hydrology-related studies often require complete datasets. However, missing data is an unavoidable reality. In this regard, the imputed data could fulfill the same role as the observed ones, while they are uncertain and just estimated.… read more here.
Keywords: annual rainfall; missing values; quantiles annual; rainfall data ... See more keywords
Correcting bias of satellite rainfall data using physical empirical model
Sign Up to like & getrecommendations! Published in 2021 at "Atmospheric Research"
DOI: 10.1016/j.atmosres.2020.105430
Abstract: Abstract The provision of high resolution near real-time rainfall data has made satellite rainfall products very potential for monitoring hydrological hazards. However, a major challenge in their direct-use can be problematic due to measurement error.… read more here.
Keywords: real time; gsmap nrt; gsmap; rainfall data ... See more keywords
Rainfall data modeling using improved adaptive type-II progressively censored Weibull-exponential samples
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-80529-5
Abstract: To get enough data from experiments that last for a long time, a recently unique improved adaptive Type-II progressive censoring technique has been suggested. This study, taking this scheme into consideration, concentrates on some conventional… read more here.
Keywords: methodology; rainfall data; adaptive type; improved adaptive ... See more keywords
How close are opportunistic rainfall observations to providing societal benefit?
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Hydrometeorology"
DOI: 10.1175/jhm-d-25-0043.1
Abstract: Mitigation of water-related hazards as well as sustainable water resources management are conditioned on accurate and detailed spatio-temporal rainfall observations. Today, water authorities like National Meteorological and Hydrological Services (NHMS) in developed countries operate observation… read more here.
Keywords: rainfall observations; rainfall data; societal benefit; providing societal ... See more keywords
Posterior Predictive of Bayesian Vector Autoregressive (BVAR) and Adjusting Transformation on the Spatio Temporal Disaggregation Method: Predict Hourly rainfall data at the outsampled Locations
Sign Up to like & getrecommendations! Published in 2019 at "Pakistan Journal of Statistics and Operation Research"
DOI: 10.18187/pjsor.v15i2.2651
Abstract: This research is a development from previous research that has studied the method of spatio temporal disaggregation with State space and adjusting procedures for predicting hourly rainfall based on daily rainfall (Astutik et al, 2013).… read more here.
Keywords: predictive bayesian; spatio temporal; temporal disaggregation; hourly rainfall ... See more keywords
Assessment of TRMM rainfall data for flood modelling in three contrasting catchments in Java, Indonesia
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Hydroinformatics"
DOI: 10.2166/hydro.2023.132
Abstract: This study investigates the use of Tropical Rainfall Measurement Mission's (TRMM) rainfall data for predicting water flows and flood events in three catchments on the island of Java, Indonesia, namely, Ciliwung, Citarum and Bengawan Solo.… read more here.
Keywords: rainfall data; gauge data; rain gauge; rainfall ... See more keywords
A Novel Hybrid Spatiotemporal Missing Value Imputation Approach for Rainfall Data: An Application to the Ratnapura Area, Sri Lanka
Sign Up to like & getrecommendations! Published in 2024 at "Applied Sciences"
DOI: 10.3390/app14030999
Abstract: Meteorological time series, such as rainfall data, show spatiotemporal characteristics and are often faced with the problem of containing missing values. Discarding missing values or modeling data with missing values causes negative impacts on the… read more here.
Keywords: rainfall data; novel hybrid; ratnapura area; approach ... See more keywords
A Comparative Analysis of Advanced Machine Learning Techniques for River Streamflow Time-Series Forecasting
Sign Up to like & getrecommendations! Published in 2024 at "Sustainability"
DOI: 10.3390/su16104005
Abstract: This study examines the contribution of rainfall data (RF) in improving the streamflow-forecasting accuracy of advanced machine learning (ML) models in the Syr Darya River Basin. Different sets of scenarios included rainfall data from different… read more here.
Keywords: rainfall data; machine learning; included rainfall; rainfall ... See more keywords
Derivation of Landslide Rainfall Thresholds by Geostatistical Methods in Southwest China
Sign Up to like & getrecommendations! Published in 2024 at "Sustainability"
DOI: 10.3390/su16104044
Abstract: Deriving rainfall thresholds is one of the most convenient and effective empirical methods for formulating landslide warnings. The previous rainfall threshold models only considered the threshold values for areas with landslide data. This study focuses… read more here.
Keywords: rainfall data; term; rainfall thresholds; rainfall ... See more keywords