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Precipitation Estimation from Remotely Sensed Imagery Using an Artificial Neural Network Cloud Classification System.
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- Journal of Applied Meteorology (1988), 2004, v. 43, n. 12, p. 1834, doi. 10.1175/JAM2173.1
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- Article
Improved representation of diurnal variability of rainfall retrieved from the Tropical Rainfall Measurement Mission Microwave Imager adjusted Precipitation Estimation From Remotely Sensed Information Using Artificial Neural Networks (PERSIANN) system.
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- Journal of Geophysical Research. Atmospheres, 2005, v. 110, n. D6, p. n/a, doi. 10.1029/2004JD005301
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- Article
Exploring parameter sensitivities of the land surface using a locally coupled land-atmosphere model.
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- Journal of Geophysical Research. Atmospheres, 2004, v. 109, n. D21, p. n/a, doi. 10.1029/2004JD004730
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- Article
Parameter estimation of GOES precipitation index at different calibration timescales.
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- Journal of Geophysical Research. Atmospheres, 2000, v. 105, n. D15, p. 20131, doi. 10.1029/2000JD900178
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- Article
Estimating cloud top height and spatial displacement from scan-synchronous GOES images using simplified IR-based stereoscopic analysis.
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- Journal of Geophysical Research. Atmospheres, 2000, v. 105, n. D12, p. 15597, doi. 10.1029/2000JD900064
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- Article
Intercomparisons of ECMWF ERA and TOGA data with observations for the 1993 Great Flood.
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- Journal of Geophysical Research. Atmospheres, 1999, v. 104, n. D16, p. 19367, doi. 10.1029/1999JD900122
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- Article
Soil moisture-precipitation feedback on the North American monsoon system in the MM5-OSU model.
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- Quarterly Journal of the Royal Meteorological Society, 2004, v. 130, n. 603, p. 2873, doi. 10.1256/qj.03.192
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- Article
Impact of field-calibrated vegetation parameters on GCM climate simulations.
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- Quarterly Journal of the Royal Meteorological Society, 2001, v. 127, n. 574, p. 1199, doi. 10.1002/qj.49712757404
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- Article
QRF4P‐NRT: Probabilistic Post‐Processing of Near‐Real‐Time Satellite Precipitation Estimates Using Quantile Regression Forests.
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- Water Resources Research, 2022, v. 58, n. 5, p. 1, doi. 10.1029/2022WR032117
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- Article
Evaluation of Methods for Causal Discovery in Hydrometeorological Systems.
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- Water Resources Research, 2020, v. 56, n. 7, p. 1, doi. 10.1029/2020WR027251
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- Article
Improving Precipitation Estimation Using Convolutional Neural Network.
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- Water Resources Research, 2019, v. 55, n. 3, p. 2301, doi. 10.1029/2018WR024090
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- Article
Developing Intensity‐Duration‐Frequency (IDF) Curves From Satellite‐Based Precipitation: Methodology and Evaluation.
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- Water Resources Research, 2018, v. 54, n. 10, p. 7752, doi. 10.1029/2018WR022929
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- Article
Developing reservoir monthly inflow forecasts using artificial intelligence and climate phenomenon information.
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- Water Resources Research, 2017, v. 53, n. 4, p. 2786, doi. 10.1002/2017WR020482
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- Article
Simulating California reservoir operation using the classification and regression-tree algorithm combined with a shuffled cross-validation scheme.
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- Water Resources Research, 2016, v. 52, n. 3, p. 1626, doi. 10.1002/2015WR017394
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- Article
How well do CMIP5 climate simulations replicate historical trends and patterns of meteorological droughts?
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- Water Resources Research, 2015, v. 51, n. 4, p. 2847, doi. 10.1002/2014WR016318
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- Article
Hydrological Projections under CMIP5 and CMIP6: Sources and Magnitudes of Uncertainty.
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- Bulletin of the American Meteorological Society, 2024, v. 105, n. 1, p. E59, doi. 10.1175/BAMS-D-23-0104.1
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- Article
Advances in Precipitation Retrieval and Applications from Low-Earth-Orbiting Satellite Information.
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- Bulletin of the American Meteorological Society, 2023, v. 104, n. 10, p. E1764, doi. 10.1175/BAMS-D-23-0229.1
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- Article
A Model Tree Generator (MTG) Framework for Simulating Hydrologic Systems: Application to Reservoir Routing.
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- Water (20734441), 2020, v. 12, n. 9, p. 2373, doi. 10.3390/w12092373
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- Article
Improving Monsoon Precipitation Prediction Using Combined Convolutional and Long Short Term Memory Neural Network.
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- Water (20734441), 2019, v. 11, n. 5, p. 977, doi. 10.3390/w11050977
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- Article
Object-Based Assessment of Satellite Precipitation Products.
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- Remote Sensing, 2016, v. 8, n. 7, p. 547, doi. 10.3390/rs8070547
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- Article
Assessing the Impacts of Different WRF Precipitation Physics in Hurricane Simulations.
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- Weather & Forecasting, 2012, v. 27, n. 4, p. 1003, doi. 10.1175/WAF-D-10-05000.1
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- Article
Calibration of Probabilistic Quantitative Precipitation Forecasts with an Artificial Neural Network.
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- Weather & Forecasting, 2007, v. 22, n. 6, p. 1287, doi. 10.1175/2007WAF2006114.1
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- Article
Radar Z–RRelationship for Summer Monsoon Storms in Arizona.
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- Weather & Forecasting, 2005, v. 20, n. 4, p. 672, doi. 10.1175/WAF878.1
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- Article
Comparing machine learning and deep learning models for probabilistic post-processing of satellite precipitation-driven streamflow simulation.
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- Hydrology & Earth System Sciences Discussions, 2022, p. 1, doi. 10.5194/hess-2022-377
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- Article
USING CLIMATE FORECASTS FOR WATER MANAGEMENT: ARIZONA AND THE 1997-1998 EL NIÑO.
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- Journal of the American Water Resources Association, 2001, v. 37, n. 5, p. 1139, doi. 10.1111/j.1752-1688.2001.tb03628.x
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- Article
Identification and Application of Physical and Chemical Parameters to Predict Indicator Bacterial Concentration in a Small Californian Creek.
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- Water Environment Research (10614303), 2009, v. 81, n. 6, p. 633, doi. 10.2175/106143008X390843
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- Article
Evolution of ensemble data assimilation for uncertainty quantification using the particle filter-Markov chain Monte Carlo method.
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- Water Resources Research, 2012, v. 48, n. 12, p. 1, doi. 10.1029/2012WR012144
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- Article
Estimation of daily cloud-free, snow-covered areas from MODIS based on variational interpolation.
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- Water Resources Research, 2012, v. 48, n. 9, p. 1, doi. 10.1029/2011WR011072
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- Article
Modification of the National Weather Service Distributed Hydrologic Model for subsurface water exchanges between grids.
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- Water Resources Research, 2011, v. 47, n. 6, p. n/a, doi. 10.1029/2010WR009626
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- Article
Improving the shuffled complex evolution scheme for optimization of complex nonlinear hydrological systems: Application to the calibration of the Sacramento soil-moisture accounting model.
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- Water Resources Research, 2010, v. 46, n. 9, p. n/a, doi. 10.1029/2010WR009224
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- Article
A sequential Bayesian approach for hydrologic model selection and prediction.
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- Water Resources Research, 2009, v. 45, n. 12, p. n/a, doi. 10.1029/2008WR006824
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- Article
Reply to Comment by B. Renard et al. on 'An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction'.
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- Water Resources Research, 2009, v. 45, n. 3, p. n/a, doi. 10.1029/2008WR007215
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- Article
Comment on 'Dynamically dimensioned search algorithm for computationally efficient watershed model calibration' by Bryan A. Tolson and Christine A. Shoemaker.
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- Water Resources Research, 2008, v. 44, n. 12, p. n/a, doi. 10.1029/2007WR006429
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- Article
An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction.
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- Water Resources Research, 2007, v. 43, n. 1, p. n/a, doi. 10.1029/2005WR004745
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- Article
Uncertainty quantification of satellite precipitation estimation and Monte Carlo assessment of the error propagation into hydrologic response.
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- Water Resources Research, 2006, v. 42, n. 8, p. n/a, doi. 10.1029/2005WR004398
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- Article
Evaluating model performance and parameter behavior for varying levels of land surface model complexity.
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- Water Resources Research, 2006, v. 42, n. 8, p. n/a, doi. 10.1029/2005WR004440
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- Article
Application of temporal streamflow descriptors in hydrologic model parameter estimation.
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- Water Resources Research, 2005, v. 41, n. 6, p. n/a, doi. 10.1029/2004WR003409
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- Article
Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter.
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- Water Resources Research, 2005, v. 41, n. 5, p. n/a, doi. 10.1029/2004WR003604
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- Article
Self-organizing nonlinear output (SONO): A neural network suitable for cloud patch-based rainfall estimation at small scales.
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- Water Resources Research, 2005, v. 41, n. 3, p. n/a, doi. 10.1029/2004WR003142
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- Article
Effective and efficient algorithm for multiobjective optimization of hydrologic models.
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- Water Resources Research, 2003, v. 39, n. 8, p. n/a, doi. 10.1029/2002WR001746
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- Article
A Shuffled Complex Evolution Metropolis algorithm for optimization and uncertainty assessment of hydrologic model parameters.
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- Water Resources Research, 2003, v. 39, n. 8, p. n/a, doi. 10.1029/2002WR001642
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- Article
Reply to comment by K. Beven and P. Young on 'Bayesian recursive parameter estimation for hydrologic models'.
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- Water Resources Research, 2003, v. 39, n. 5, p. n/a, doi. 10.1029/2002WR001405
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- Article
Correction to 'Toward improved identifiability of hydrologic model parameters: The information content of experimental data'.
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- Water Resources Research, 2003, v. 39, n. 3, p. n/a, doi. 10.1029/2003WR001962
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- Article
Self-organizing linear output map (SOLO): An artificial neural network suitable for hydrologic modeling and analysis.
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- Water Resources Research, 2002, v. 38, n. 12, p. 38-1, doi. 10.1029/2001WR000795
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- Article
Toward improved identifiability of hydrologic model parameters: The information content of experimental data.
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- Water Resources Research, 2002, v. 38, n. 12, p. 48-1, doi. 10.1029/2001WR001118
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- Article
Toward improved streamflow forecasts: value of semidistributed modeling.
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- Water Resources Research, 2001, v. 37, n. 11, p. 2749, doi. 10.1029/2000WR000207
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- Article
A chaotic approach to rainfall disaggregation.
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- Water Resources Research, 2001, v. 37, n. 1, p. 61, doi. 10.1029/2000WR900196
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- Article
Toward improved calibration of hydrologic models: Combining the strengths of manual and automatic methods (Paper 2000WR900207)
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- Water Resources Research, 2000, v. 36, n. 12, p. 3663, doi. 10.1029/2000WR900207
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- Article
Estimation of physical variables from multichannel remotely sensed imager5., using a neural network: Application to rainfall estimation
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- Water Resources Research, 1999, v. 35, n. 5, p. 1605, doi. 10.1029/1999WR900032
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- Article
On the simulation of infiltration- and saturation-excess runoff using radar-based rainfall estimates: Effects of algorithm uncertainty and pixel aggregation
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- Water Resources Research, 1998, v. 34, n. 10, p. 2655, doi. 10.1029/98WR02009
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- Article