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Predictive performance of ensemble hydroclimatic forecasts: Verification metrics, diagnostic plots and forecast attributes
Predictive performance is one of the most important issues for practical applications of
ensemble hydroclimatic forecasts. While different forecasting studies tend to use different …
ensemble hydroclimatic forecasts. While different forecasting studies tend to use different …
[HTML][HTML] A seven-parameter Bernoulli-Gamma-Gaussian model to calibrate subseasonal to seasonal precipitation forecasts
Subseasonal to seasonal (S2S) precipitation forecasts can fill the gap between weather and
seasonal forecasts. While raw forecasts from S2S models are informative, calibration is …
seasonal forecasts. While raw forecasts from S2S models are informative, calibration is …
Reliability of ensemble climatological forecasts
Ensemble climatological forecasts play a critical part in benchmarking the predictive
performance of hydroclimatic forecasts. Accounting for the skewness and censoring …
performance of hydroclimatic forecasts. Accounting for the skewness and censoring …
Statistical bias correction of precipitation forecasts based on quantile map** on the sub-seasonal to seasonal scale
Accurate precipitation forecasting is challenging, especially on the sub-seasonal to
seasonal scale (14–90 days) which mandates the bias correction. Quantile map** (QM) …
seasonal scale (14–90 days) which mandates the bias correction. Quantile map** (QM) …
[HTML][HTML] Unravelling the potential of global streamflow reanalysis in characterizing local flow regime
While global streamflow reanalysis provides valuable information for environmental
modelling and management, it is not yet known how effective they are in characterizing the …
modelling and management, it is not yet known how effective they are in characterizing the …
[HTML][HTML] pyNMME: A python toolkit to retrieve, calibrate and verify seasonal precipitation forecasts
Abstract The North American Multi-Model Ensemble (NMME) experiment assembles
valuable ensemble forecasts from more than ten global climate models (GCMs). Focusing …
valuable ensemble forecasts from more than ten global climate models (GCMs). Focusing …
A Two‐Stage Framework for Bias and Reliability Tests of Ensemble Hydroclimatic Forecasts
T Zhao, S ** and Bernoulli-Gamma-Gaussian distribution
L Li, Z Yun, Y Liu, Y Wang, W Zhao, Y Kang… - Atmospheric Research, 2024 - Elsevier
Statistical post-processing is a pivotal approach in enhancing the statistical accuracy and
applicability of precipitation forecasts from numerical weather prediction models. The …
applicability of precipitation forecasts from numerical weather prediction models. The …
[HTML][HTML] A Copula Function–Monte Carlo Method-Based Assessment of the Risk of Agricultural Water Demand in **njiang, China
X Wang, Z Zhao, F Jie, J Xu, S Li, K Hao, Y Peng - Agriculture, 2024 - mdpi.com
Agricultural water resources in **njiang, China, face significant supply and demand
contradictions. Agricultural water demand risk is a key factor impacting water resource …
contradictions. Agricultural water demand risk is a key factor impacting water resource …