Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Modeling soil processes: Review, key challenges, and new perspectives
The remarkable complexity of soil and its importance to a wide range of ecosystem services
presents major challenges to the modeling of soil processes. Although major progress in soil …
presents major challenges to the modeling of soil processes. Although major progress in soil …
Drought modeling–A review
In recent years droughts have been occurring frequently, and their impacts are being
aggravated by the rise in water demand and the variability in hydro-meteorological variables …
aggravated by the rise in water demand and the variability in hydro-meteorological variables …
Generating ensemble streamflow forecasts: A review of methods and approaches over the past 40 years
M Troin, R Arsenault, AW Wood, F Brissette, JL Martel - 2021 - Wiley Online Library
Ensemble forecasting applied to the field of hydrology is currently an established area of
research embracing a broad spectrum of operational situations. This work catalogs the …
research embracing a broad spectrum of operational situations. This work catalogs the …
[HTML][HTML] First principles and machine learning virtual flow metering: a literature review
Abstract Virtual Flow Metering (VFM) is an increasingly attractive method for estimation of
multiphase flowrates in oil and gas production systems. Instead of using expensive …
multiphase flowrates in oil and gas production systems. Instead of using expensive …
A review of current methodologies for regional evapotranspiration estimation from remotely sensed data
An overview of the commonly applied evapotranspiration (ET) models using remotely
sensed data is given to provide insight into the estimation of ET on a regional scale from …
sensed data is given to provide insight into the estimation of ET on a regional scale from …
Dual state–parameter estimation of hydrological models using ensemble Kalman filter
Hydrologic models are twofold: models for understanding physical processes and models
for prediction. This study addresses the latter, which modelers use to predict, for example …
for prediction. This study addresses the latter, which modelers use to predict, for example …
Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities
Data assimilation (DA) holds considerable potential for improving hydrologic predictions as
demonstrated in numerous research studies. However, advances in hydrologic DA research …
demonstrated in numerous research studies. However, advances in hydrologic DA research …
Uncertainty in hydrologic modeling: Toward an integrated data assimilation framework
Despite significant recent developments in computational power and distributed hydrologic
modeling, the issue of how to adequately address the uncertainty associated with …
modeling, the issue of how to adequately address the uncertainty associated with …
On the value of soil moisture measurements in vadose zone hydrology: A review
We explore and review the value of soil moisture measurements in vadose zone hydrology
with a focus on the field and catchment scales. This review is motivated by the increasing …
with a focus on the field and catchment scales. This review is motivated by the increasing …
Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter
Two elementary issues in contemporary Earth system science and engineering are (1) the
specification of model parameter values which characterize a system and (2) the estimation …
specification of model parameter values which characterize a system and (2) the estimation …