A5018335704- Hydrology and Watershed Management Studies
- Climate variability and models
- Meteorological Phenomena and Simulations
- Flood Risk Assessment and Management
- Hydrology and Drought Analysis
- Hydrological Forecasting Using AI
- Cryospheric studies and observations
- Precipitation Measurement and Analysis
- Soil Moisture and Remote Sensing
- Plant Water Relations and Carbon Dynamics
- Atmospheric and Environmental Gas Dynamics
- Soil and Unsaturated Flow
- Molecular Spectroscopy and Structure
- Groundwater flow and contamination studies
- Bone health and osteoporosis research
- Climate change impacts on agriculture
- Advanced Chemical Physics Studies
- Water resources management and optimization
- Spectroscopy and Laser Applications
- Climate change and permafrost
- Hip and Femur Fractures
- Soil Geostatistics and Mapping
- Probabilistic and Robust Engineering Design
- Atmospheric Ozone and Climate
- Soil erosion and sediment transport
Hohai University
2019-2025
Hangzhou First People's Hospital
2025
China Meteorological Administration
2023-2024
University of Auckland
2024
Kunming University of Science and Technology
2024
Nankai University
2024
Chinese Academy of Sciences
2020-2024
Institute of Geographic Sciences and Natural Resources Research
2024
Beijing Normal University
2013-2022
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering
2019-2022
The successful application of a conceptual rainfall‐runoff (CRR) model depends on how well it is calibrated. Despite the popularity CRR models, reports in literature indicate that typically difficult, if not impossible, to obtain unique optimal values for their parameters using automatic calibration methods. Unless best set associated with given data can be found, difficult determine sensitive parameter estimates (and hence forecasts) are factors such as input and output error, quantity...
Results are presented from the multi‐institution partnership to develop a real‐time and retrospective North American Land Data Assimilation System (NLDAS). NLDAS consists of (1) four land models executing in parallel uncoupled mode, (2) common hourly surface forcing, (3) streamflow routing: all using 1/8° grid over continental United States. The initiative is largely sponsored by Global Energy Water Cycle Experiment (GEWEX) Continental‐Scale International Project (GCIP). As overview for nine...
Results are presented from the second phase of multiinstitution North American Land Data Assimilation System (NLDAS‐2) research partnership. In NLDAS, Noah, Variable Infiltration Capacity, Sacramento Soil Moisture Accounting, and Mosaic land surface models (LSMs) executed over conterminous U.S. (CONUS) in realtime retrospective modes. These runs support drought analysis, monitoring forecasting activities National Integrated Drought Information System, as well efforts to monitor large‐scale...
We tested four land surface parameterization schemes against long‐term (5 months) area‐averaged observations over the 15 km × First International Satellite Land Surface Climatology Project (ISLSCP) Field Experiment (FIFE) area. This approach proved to be very beneficial understanding performance and limitations of different models. These models, embodying complexities evaporation/hydrology treatment, included traditional simple bucket model, water balance (SWB) Oregon State University (OSU)...
The accuracy of forcing data greatly impacts the ability land surface models (LSMs) to produce realistic simulations processes. With this in mind, multi‐institutional North American Land Data Assimilation System (NLDAS) project has produced retrospective (1996–2002) and real‐time (1999–present) sets support its LSM modeling activities. Featuring 0.125° spatial resolution, hourly temporal nine primary fields, six secondary validation/model development each set is based on a backbone Eta...
Extensions to the land surface scheme (LSS) in National Centers for Environmental Prediction, regional, coupled, land‐atmosphere weather prediction model, known as mesoscale Eta are proposed and tested off‐line uncoupled mode account seasonal freezing thawing of soils snow‐accumulation‐ablation processes. An original model assumption that there is no significant heat transfer during redistribution liquid water was relaxed by including a source/sink term equation latent phase transitions soil...
Abstract We developed a comprehensive, gridded Global Soil Dataset for use in Earth System Models (GSDE) and other applications. The GSDE provides soil information, such as particle‐size distribution, organic carbon, nutrients, quality control information terms of confidence level at 30″ × horizontal resolution eight vertical layers to depth 2.3 m. is based on the Map World various regional national databases, including attribute data maps. used standardized structure processing procedures...
The conventional treatment of uncertainty in rainfall‐runoff modeling primarily attributes the input‐output representation model to parameters without explicitly addressing input, output, and structural uncertainties. This paper presents a new framework, Integrated Bayesian Uncertainty Estimator (IBUNE), account for major uncertainties hydrologic predictions explicitly. IBUNE distinguishes between various sources including parameter, uncertainty. An input error form Gaussian multiplier has...
Abstract The process of parameter estimation targeting a chosen set observations is an essential aspect numerical modeling. This usually named tuning in the climate modeling community. In models, variety and complexity physical processes involved, their interplay through wide range spatial temporal scales, must be summarized series approximate submodels. Most submodels depend on uncertain parameters. Tuning consists adjusting values these parameters to bring solution as whole into line with...
Abstract. We present a community data set of daily forcing and hydrologic response for 671 small- to medium-sized basins across the contiguous United States (median basin size 336 km2) that spans very wide range hydroclimatic conditions. Area-averaged period 1980–2010 was generated three spatial configurations – mean, units (HRUs) elevation bands by mapping daily, gridded meteorological sets subbasin (Daymet) polygons (Daymet, Maurer NLDAS). Daily streamflow compiled from Geological Survey...
A comprehensive 30×30 arc‐second resolution gridded soil characteristics data set of China has been developed for use in the land surface modeling. It includes physical and chemical attributes soils derived from 8979 profiles Soil Map (1:1,000,000). We used polygon linkage method to derive spatial distribution properties. The profile attribute database map are linked under framework Genetic Classification which avoids uncertainty taxon referencing. Quality control information (i.e., sample...
Conceptual rainfall‐runoff models are difficult to calibrate by means of automatic methods; one major reason for this is the inability conventional procedures locate globally optimal set parameters. This paper investigates consistency with which two global optimization methods, shuffled complex evolution (SCE‐UA) method (developed authors) and multistart simplex (MSX) method, able find parameter during calibration Sacramento soil moisture accounting model (SAC‐SMA) National Weather Service...
A parametric water balance model was developed based on statistical averaging of the main hydrological processes. The has a two‐layer structure with both physical and basis for parameters. It to fill need models small number parameters intermediate complexity between one‐parameter simple bucket more complex hydrologically oriented many such as Sacramento model. focus improve representation runoff relative without introducing full designed operate over range time steps facilitate coupling an...
Sensitivity analysis (SA) is en route to becoming an integral part of mathematical modeling. The tremendous potential benefits SA are, however, yet be fully realized, both for advancing mechanistic and data-driven modeling human natural systems, in support decision making. In this perspective paper, a multidisciplinary group researchers practitioners revisit the current status SA, outline research challenges regard theoretical frameworks their applications solve real-world problems. Six...
This is the second part of a study on continental‐scale water and energy flux analysis validation conducted in phase 2 North American Land Data Assimilation System project (NLDAS‐2). The first concentrates model‐by‐model comparison mean annual monthly fluxes, fluxes state variables. In this part, focus simulated streamflow from four land surface models (Noah, Mosaic, Sacramento Soil Moisture Accounting (SAC‐SMA), Variable Infiltration Capacity (VIC) models) their ensemble mean. Comparisons...
Sensitivity analysis (SA) is a commonly used approach for identifying important parameters that dominate model behaviors. We use newly developed software package, Problem Solving environment Uncertainty Analysis and Design Exploration (PSUADE), to evaluate the effectiveness efficiency of ten widely SA methods, including seven qualitative three quantitative ones. All methods are tested using variety sampling techniques screen out most sensitive (i.e., important) from insensitive The...
The effects of heat stress are spatially heterogeneous owing to local variations in climate response, population density, and social conditions. Using global impact models from the Inter-Sectoral Impact Model Intercomparison Project, our analysis shows that frequency intensity events increase, especially tropical regions (geographic perspective) developing countries (national perspective), even with warming held 1.5 °C target. An additional 0.5 increase 2 target leads >15% land area becoming...
Abstract This study evaluates the performance of a newly developed daily precipitation climate data record, called Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks–Climate Data Record (PERSIANN-CDR), in capturing behavior extreme events China during period 1983–2006. Different indices, three categories percentile, absolute threshold, and maximum are studied compared with same indices East Asia (EA) ground-based gridded dataset. The results show that...