A5066886726- Plant Water Relations and Carbon Dynamics
- Hydrology and Watershed Management Studies
- Climate variability and models
- Soil and Unsaturated Flow
- Probabilistic and Robust Engineering Design
- Environmental and Agricultural Sciences
- Environmental Changes in China
- Meteorological Phenomena and Simulations
Institute of Atmospheric Physics
2022-2024
Chinese Academy of Sciences
2022-2024
University of Chinese Academy of Sciences
2022-2024
China Institute of Water Resources and Hydropower Research
2018
Northwest A&F University
2018
Abstract Model parameter errors are one of the sources uncertainty when simulating or predicting evapotranspiration (ET) over Tibetan Plateau (TP). To enhance ET simulation ability and prediction skill TP, conditional nonlinear optimal perturbation (CNOP‐P) method is used to establish an ensemble (called CNOP‐PEP method) represent uncertainties arising due model parameters implement experiments. The one‐at‐a‐time (OAT) traditional stochastically perturbed parametrization (SPP) scheme also...
Abstract Estimation of the Evapotranspiration (ET) over Tibetan Plateau (TP) still keeps uncertain due to inaccurate physical parameters and processes in numerical models. In this study, simulated ET is evaluated for 13 sites TP during period 2001–2017 using conditional nonlinear optimal perturbation related (CNOP‐P) approach. To find key processes, sensitivity analysis (SA) method based on CNOP‐P employed. The traditional SA (one‐at‐a‐time, OAT) also employed compare identification subset....
Under the impact of climate change, extreme events occur frequently and speed alternation drought flood gets faster.Based on daily rainfall data 42 meteorological stations for years 1963-2013, Haihe River basin in China was divided into four sub-regions (region A, region B, C, D) by means cluster analysis using selforganizing map (SOM) neural network method.The index number consecutive days without used to identify magnitudes first intensity maximum after a period analyzed with Pearson-III...
Abstract To improve the ability to accurately simulate and predict evapotranspiration (ET) over Tibetan Plateau (TP), an observation‐oriented sensitivity analysis (SA) method based on a conditional nonlinear optimal parameter perturbation (CNOP‐P) is employed. With CNOP‐P SA method, sensitive subset among all parameters first determined through comparison with observations of ET across TP. Then, combination optimized evaluate simulation prediction skill A traditional one‐at‐a‐time (OAT) also...
Abstract In this research, a conditional nonlinear optimal perturbation related to parameters (CNOP‐P) method is employed propose an ensemble prediction titled as the (CNOP‐PEP) method. Within CNOP‐PEP method, all members are generated by CNOP‐P To explore operability and validity of long‐term evapotranspiration (ET) hindcast skill evaluated at 13 sites on Tibetan Plateau (TP) during period 2001–2018 with land surface model. Two traditional methods (the stochastically perturbed (SPP)...