An Update of Non-iterative Solutions for Surface Fluxes Under Unstable Conditions

Li, Yubin; Gao, Zhiqiu; Li, Dan; Chen, Fei; Yang, Yuanjian; Sun, Liguang

doi:10.1007/s10546-015-0032-x

Cited by 8 publications

(6 citation statements)

References 21 publications

(54 reference statements)

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“…Many scholars reformed it. For example, Article [13] got a more effective iterative scheme through simple transform, article [14] and [15] adopted an increment iterative method. B.…”

Section: Original Iterative Methods and Improved Methodsmentioning

confidence: 99%

An Improved Iterative Method of Saturated-Unsaturated Unsteady Seepage Numerical Simulation

Yang

2013

AMM

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The original iterative method of the saturated-unsaturated unsteady seepage FEM analysis is presented. According to the character of the iterative process, an iterative coefficient is introduced, and a new method is formed. The improved iterative method can enhance and accelerate convergence of the computation efficiently by selecting suitable , and make the saturated-unsaturated unsteady seepage FEM analysis have broader engineering applicability. Three-dimensional FEM analysis program for saturated-unsaturated unsteady seepage is compiled based on the improved algorithm. The algorithm is validated by an analysis example.

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“…Many scholars reformed it. For example, Article [13] got a more effective iterative scheme through simple transform, article [14] and [15] adopted an increment iterative method. B.…”

Section: Original Iterative Methods and Improved Methodsmentioning

confidence: 99%

An Improved Iterative Method of Saturated-Unsaturated Unsteady Seepage Numerical Simulation

Yang

2013

AMM

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“…In order to expand the applicability range of the Li10 scheme to different underlying surface roughness conditions, Wouters et al (2012) and Sharan and Srivastava (2014) utilized a semi-analytical approach to derive new non-iterative equations. Li et al (2014Li et al ( , 2015 divided z/z 0 and z 0 /z 0h into eight regions under stable and unstable conditions, respectively, and calculated the stability parameters for each case. The two schemes are applicable when 10 < z/z 0 < 10 5 and 0.607 < z 0 /z 0h < 1.07 × 10 3 .…”

Section: 1029/2023gl105923mentioning

confidence: 99%

“…Li et al. (2014, 2015) divided z / z 0 and z 0 / z 0 h into eight regions under stable and unstable conditions, respectively, and calculated the stability parameters for each case. The two schemes are applicable when 10 < z / z 0 < 10 5 and 0.607 < z 0 / z 0 h < 1.07 × 10 3 .…”

Section: Introductionmentioning

confidence: 99%

Two Random Forest Models for the Non‐Iterative Parametrization of Surface‐Layer Turbulent Fluxes

Yu,

Gao,

et al. 2023

Geophysical Research Letters

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This study investigated two random forest (RF) models for the non‐iterative parametrization of surface‐layer turbulent fluxes: (a) the RF scheme, a calculation model that is directly trained using correlated variables, and (b) the RF_Li10 scheme, a random forest correction model based on the Li10 scheme (Li et al., 2010, https://doi.org/10.1007/s10546-010-9523-y). A comparison between these two new models and the Li10 scheme against an iterative scheme revealed the hierarchy of maximum relative errors in estimating stability parameters, as well as momentum and heat transfer coefficients. This hierarchy is as follows: the Li10 scheme is the greatest, followed by the RF scheme, with the RF_Li10 scheme exhibiting the least errors.

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“…In the NAF model [ 51 ], the turbulent flux τ , sensible heat flux H s , and water vapor flux H l are expressed by the following equations:

where ρ is the air density, c p is the specific heat capacity at the constant pressure, u ∗ is the characteristic scale of the wind speed, θ ∗ is the characteristic scale of the temperature, L e is the latent heat of the evaporation, and q ∗ is the characteristic scale of the specific humidity.…”

Section: Measuring Principle and Prediction Model Of The Evaporation ...mentioning

confidence: 99%

A Novel System for the Measurement of an Evaporation Duct Using the Magnetic Coupling Principle for Power Feeding and Data Transmission

Wang

et al. 2022

Sensors

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Since the evaporation duct height (EDH) only covers the antenna height of most shipborne microwave radars, mastering the EDH in advance has great significance in achieving long-range target detection. In this paper, a set of hydrological and meteorological sensors based on the gradient meteorological instrument (GMI) were built to monitor the evaporation duct of the South China Sea (SCS). However, the monitoring needed to be interrupted during the battery replacement of the sensor, which could result in the loss of some important data collection. On the basis of the inductively coupled power transfer (ICPT) technology, the resonance principle was used to compensate the inductive reactance on the closed steel ring (CSR), and the energy stored in the super capacitor was introduced for data collection and return. A novel measuring system for the detection of an evaporation duct was proposed. To avoid iterative calculation by setting the initial value of the current evaporation duct models in large-scale and multi time evaporation duct prediction and diagnosis, on the basis of the non-iterative air–sea flux (NAF) model, the EDH was obtained by introducing the K theoretical flux observation method into the atmospheric refractive index equation. Finally, preliminary experimental results are presented for the detection of evaporation duct to demonstrate the feasibility and effectiveness of the proposed system. The communication accuracy rate of the proposed system was 99.7%. The system transmission power reached 22.8 W. The research results of the NAF model adaptability showed that the mean value of the EDH was 8.7 m, which was lower than the mean EDH of the SCS. The EDH calculated by the NAF model in the unstable air–sea stratification state was slightly lower than that calculated by the NPS model. The diagnosis of the EDH by the NAF model was similar to that of the NPS model, but the calculation stability of the NAF model was better.

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An Update of Non-iterative Solutions for Surface Fluxes Under Unstable Conditions

Cited by 8 publications

References 21 publications

An Improved Iterative Method of Saturated-Unsaturated Unsteady Seepage Numerical Simulation

An Improved Iterative Method of Saturated-Unsaturated Unsteady Seepage Numerical Simulation

Two Random Forest Models for the Non‐Iterative Parametrization of Surface‐Layer Turbulent Fluxes

A Novel System for the Measurement of an Evaporation Duct Using the Magnetic Coupling Principle for Power Feeding and Data Transmission

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