Daily evaluation of 26 precipitation datasets using Stage-IV gauge-radar data for the CONUS
New precipitation (P) datasets are released regularly, following innovations in weather
forecasting models, satellite retrieval methods, and multi-source merging techniques. Using …
forecasting models, satellite retrieval methods, and multi-source merging techniques. Using …
Can artificial intelligence and data-driven machine learning models match or even replace process-driven hydrologic models for streamflow simulation?: A case study …
With recent developments in computational techniques, Data-driven Machine Learning
Models (DMLs) have shown great potential in simulating streamflow and capturing the …
Models (DMLs) have shown great potential in simulating streamflow and capturing the …
[HTML][HTML] Contribution of tropical cyclones to rainfall at the global scale
Contribution of Tropical Cyclones to Rainfall at the Global Scale in: Journal of Climate Volume
30 Issue 1 (2017) Jump to Content Jump to Main Navigation Logo Logo Logo Logo Logo Logo …
30 Issue 1 (2017) Jump to Content Jump to Main Navigation Logo Logo Logo Logo Logo Logo …
[HTML][HTML] Assessment and implications of NCEP Stage IV quantitative precipitation estimates for product intercomparisons
Assessment and Implications of NCEP Stage IV Quantitative Precipitation Estimates for Product
Intercomparisons in: Weather and Forecasting Volume 31 Issue 2 (2016) Jump to Content …
Intercomparisons in: Weather and Forecasting Volume 31 Issue 2 (2016) Jump to Content …
Evaluation of six indices for monitoring agricultural drought in the south-central United States
L Tian, S Yuan, SM Quiring - Agricultural and forest meteorology, 2018 - Elsevier
Drought indices are widely used for drought monitoring. This study evaluates the
performance of six indices (Palmer's Drought Severity Index (PDSI), Palmer's Z-index …
performance of six indices (Palmer's Drought Severity Index (PDSI), Palmer's Z-index …
[HTML][HTML] Comparison of global precipitation estimates across a range of temporal and spatial scales
Ashouri, H., K.-L. Hsu, S. Sorooshian, DK Braithwaite, KR Knapp, LD Cecil, BR Nelson, and
OP Prat, 2015: PERSIANN-CDR: Daily precipitation climate data record from multisatellite …
OP Prat, 2015: PERSIANN-CDR: Daily precipitation climate data record from multisatellite …
Improving near real-time precipitation estimation using a U-Net convolutional neural network and geographical information
Reliable near real-time precipitation estimates are essential for monitoring and managing of
natural disasters such as floods. Quality of inputs and capability of the retrieval algorithm are …
natural disasters such as floods. Quality of inputs and capability of the retrieval algorithm are …
[HTML][HTML] Intermittency in precipitation: Duration, frequency, intensity, and amounts using hourly data
KE Trenberth, Y Zhang… - Journal of …, 2017 - journals.ametsoc.org
Intermittency is a core characteristic of precipitation, not well described by data and very
poorly modeled. Detailed analyses are made of near-global gridded (about 1°) hourly or 3 …
poorly modeled. Detailed analyses are made of near-global gridded (about 1°) hourly or 3 …
Evaluation of GPM IMERG and its constellations in extreme events over the conterminous united states
Improved quantification of extreme precipitation rates using observations has far-reaching
implications for environmental sciences, especially for hydrometeorological studies. Yet …
implications for environmental sciences, especially for hydrometeorological studies. Yet …
Characterization of precipitation product errors across the United States using multiplicative triple collocation
SH Alemohammad, KA McColl… - Hydrology and Earth …, 2015 - hess.copernicus.org
Validation of precipitation estimates from various products is a challenging problem, since
the true precipitation is unknown. However, with the increased availability of precipitation …
the true precipitation is unknown. However, with the increased availability of precipitation …