
Member Since 2023
Kaidi Peng
AGU Research
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STREAM‐Sat: A Novel Near‐Realtime Quasi‐Global Satellite‐Only Ensemble Precipitation Dataset
WATER RESOURCES RESEARCH
20 march 2025
Kaidi Peng, Daniel B. Wright, Yagmur Derin, Samant...
Satellite‐based precipitation observations can provide near‐global coverage with high spatiotemporal resolution in near‐realtime....
Proceed with Caution: The Critical Role of Precipitation Accuracy, Resolution, and Uncertainty in Large-Scale Hydrologic and Flood Hazard Modeling
RECENT ADVANCES IN LARGE-SCALE, HIGH-RESOLUTION HYDROLOGIC AND FLOOD MODELING: ASSESSING HYDROCLIMATIC EXTREMES I ORAL
hydrology | 12 december 2024
Daniel B. Wright, Yuan Liu, Kaidi Peng, Ankita Pra...
Increasing availability of high-performance computing and distributed geospatial datasets has led to a dramatic increase in the popularity of large-sc...
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Global Ground Validation of Satellite-Only Ensemble Precipitation Dataset against multiple Radar Networks
SPACE-BASED PRECIPITATION OBSERVATIONS: INNOVATIONS FOR SCIENCE AND APPLICATIONS III POSTER
hydrology | 10 december 2024
Yagmur Derin, Ankita Pradhan, Kaidi Peng, Daniel B...
Uncertainty characterization within satellite-based precipitation products (SPP) that properly account for the time/space error correlation structure ...
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A Prototype Precipitation Uncertainty Product for IMERG
SPACE-BASED PRECIPITATION OBSERVATIONS: INNOVATIONS FOR SCIENCE AND APPLICATIONS III POSTER
hydrology | 10 december 2024
Jackson Tan, Kaidi Peng, Yagmur Derin, Daniel B. W...
The importance of quantifying precipitation uncertainties has gained widespread recognition with the increasing use of satellite precipitation product...
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Advancing Streamflow Ensemble Prediction Through Satellite Precipitation and Model Parameter Uncertainty Quantification
UNCERTAINTY IN STREAMFLOW PREDICTION: IDENTIFYING AND SEPARATING UNCERTAINTIES BETWEEN QPE AND HYDROLOGICAL MODELING POSTER
hydrology | 10 december 2024
Kaidi Peng, Daniel B. Wright, Yagmur Derin, Aaron ...
Precipitation forcings and hydrologic model parameters constitute major sources of uncertainty in streamflow prediction. Current hydrologic modeling f...
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Computationally Efficient Calibration and Uncertainty Estimation of WRF-Hydro in an Alpine Watershed Using an Iterative Ensemble Smoother
HYDROMETEOROLOGIC EXTREMES: PREDICTION, SIMULATION, AND CHANGE I ORAL
hydrology | 09 december 2024
Ankita Pradhan, Daniel B. Wright, Kaidi Peng, Mich...
Our study introduces a novel framework for improving the parameter and uncertainty estimation of WRF-Hydro using an Iterative Ensemble Smoother (iES) ...
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Advancing Hydrologic Prediction and Decision-making in Ungauged Regions Through Satellite Precipitation Uncertainty Estimation
SPACE-BASED PRECIPITATION OBSERVATIONS: INNOVATIONS FOR SCIENCE AND APPLICATIONS I POSTER
hydrology | 12 december 2023
Kaidi Peng, Daniel B. Wright, Samantha Hartke, ZHE...
Satellites can measure precipitation at high resolution and in near real-time across the globe. The usefulness of these measurements is limited, howev...
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