Environmental Modelling & Software最新文献_第3页

Making earth observations model-friendly: An interoperable tool enabling comprehensive use of earth observations for hydrologic model evaluations 使地球观测模型友好：一个可互操作的工具，能够全面利用地球观测进行水文模型评估

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-07-09 DOI: 10.1016/j.envsoft.2025.106618

Linji Wang , Adnan Rajib , Venkatesh Merwade

{"title":"Making earth observations model-friendly: An interoperable tool enabling comprehensive use of earth observations for hydrologic model evaluations","authors":"Linji Wang , Adnan Rajib , Venkatesh Merwade","doi":"10.1016/j.envsoft.2025.106618","DOIUrl":"10.1016/j.envsoft.2025.106618","url":null,"abstract":"<div><div>The value of spatially distributed Earth Observation (EO) data in evaluating hydrologic models is well-known, yet hydro-geoscience community continues to rely on streamflow data from limited monitoring stations. The underutilization of EO stems mainly from challenges in interoperability between EO datasets and model structures and the absence of reproducible workflows. To overcome this longstanding barrier, we present HydroMET-EO (Hydrologic Model Evaluation Tool - Earth Observation), the first-of-its-type semi-automatic software designed for Soil and Water Assessment Tool (SWAT) hydrologic model. In its current version, HydroMET-EO harmonizes EO datasets of evapotranspiration, Leaf Area Index, and soil moisture from varying sources and resolutions to SWAT's structure and time-step, enabling subbasin-level evaluation of model outputs. Guided by a user-friendly graphical interface, statistical metrics, and visual aids, HydroMET-EO streamlines EO integration and thus advances how we typically evaluate the accuracy and physical consistency of hydrologic models and watershed management decisions. A case study for a large watershed in southeast US highlights the tool's effectiveness, demonstrating that models calibrated solely on streamflow data, despite excellent performance, may fail to capture other critical hydrologic processes.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"193 ","pages":"Article 106618"},"PeriodicalIF":4.8,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144613136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Advancing Precision, Recall, F-score, and Jaccard index: An approach for continuous, ratio-scale measurements 推进精度，召回率，f得分，和雅卡德指数：一种方法连续，比例尺度测量

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-07-07 DOI: 10.1016/j.envsoft.2025.106614

Katarzyna Krasnodębska , Wojciech Goch , Johannes H. Uhl , Judith A. Verstegen , Martino Pesaresi

{"title":"Advancing Precision, Recall, F-score, and Jaccard index: An approach for continuous, ratio-scale measurements","authors":"Katarzyna Krasnodębska , Wojciech Goch , Johannes H. Uhl , Judith A. Verstegen , Martino Pesaresi","doi":"10.1016/j.envsoft.2025.106614","DOIUrl":"10.1016/j.envsoft.2025.106614","url":null,"abstract":"<div><div>Gridded data representing attribute estimates at the ratio scale are increasingly common for modelling spatial-environmental variables, including class area estimates (e.g. built-up surface area), population abundance, or vegetation-related measurements such as canopy height. The accuracy of gridded data, including classifications of remotely-sensed data, is usually assessed with measures based on confusion matrices with site-specific class allocations. Yet, these measures cannot be applied to attribute estimates at the ratio-scale. Here, we introduce an approach to extend commonly used agreement measures derived from a confusion matrix (i.e. Jaccard index, Precision, Recall and F-score) to non-negative, continuous ratio-scale attributes. The proposed measures, cJaccard, cPrecision, cRecall and cF-score, have been tested on synthetic datasets, and in a realistic scenario using gridded data measuring built-up surface area. They are viable equivalents to their binary counterparts, invariant to imbalanced data, and suitable for evaluating the agreement of various types of data representing ratio-scale attribute estimates.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"193 ","pages":"Article 106614"},"PeriodicalIF":4.8,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144613185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Projected changes in rain-on-snow events and their impacts on summer low streamflow in the Great lakes basin 五大湖流域夏季雨雪事件预估变化及其对低流量的影响

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-07-07 DOI: 10.1016/j.envsoft.2025.106612

Yog Aryal , Darren L. Ficklin , Daniel T. Myers

引用次数: 0

Improving the moving-grid permafrost model to reveal ground deformation and hydrothermal effects caused by permafrost evolution in the source region of the Yangtze river on the Qinghai-Tibet plateau 改进多年冻土移动网格模型，揭示青藏高原长江源区多年冻土演变引起的地面变形和热液效应

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-07-07 DOI: 10.1016/j.envsoft.2025.106613

Zhe Sun , Lin Zhao , Guojie Hu , Shibo Liu , Yongping Qiao , Erji Du , Defu Zou , Guangyue Liu , Lingxiao Wang , Jianting Zhao

{"title":"Improving the moving-grid permafrost model to reveal ground deformation and hydrothermal effects caused by permafrost evolution in the source region of the Yangtze river on the Qinghai-Tibet plateau","authors":"Zhe Sun , Lin Zhao , Guojie Hu , Shibo Liu , Yongping Qiao , Erji Du , Defu Zou , Guangyue Liu , Lingxiao Wang , Jianting Zhao","doi":"10.1016/j.envsoft.2025.106613","DOIUrl":"10.1016/j.envsoft.2025.106613","url":null,"abstract":"<div><div>Under climate changing, permafrost evolution significantly impacts regional topography, hydrology, and surface energy balance. We improved the moving-grid permafrost model by incorporating new physical processes, including long-term ground surface settlement and uplift in regional scales, free water dynamics, and energy exchanges. The model was applied to the Source Region of the Yangtze River (SRYR) on the Qinghai-Tibetan Plateau (QTP) from 2000 to 2020 and validated with a new monitoring network. Results show that the simulation well reproduced observed ground temperatures and active layer thickness (ALT). The permafrost area in the SRYR decreased by 1.32 %, with ALT and permafrost top temperature (TTOP) increasing by 2.8 cm/a and 0.23 °C/10a, respectively. Ground subsidence averaged 4.1 mm/a, and net free water from ground ice melting was 4.8 mm/a. Additionally, permafrost areas absorbed more heat, slowing climate warming in the SRYR. The improved model provides a more accurate estimation of the imbalance of the QTP.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"193 ","pages":"Article 106613"},"PeriodicalIF":4.8,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144587531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

River bathymetry and discharge estimation using video surface velocity data assimilation in the 2D differentiable numerical shallow water model dassflow 二维可微数值浅水模型流量中基于视频地表速度同化的河流测深与流量估算

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-07-07 DOI: 10.1016/j.envsoft.2025.106589

Léo Pujol , Ludovic Cassan , Pierre-André Garambois , Hélène Roux

{"title":"River bathymetry and discharge estimation using video surface velocity data assimilation in the 2D differentiable numerical shallow water model dassflow","authors":"Léo Pujol , Ludovic Cassan , Pierre-André Garambois , Hélène Roux","doi":"10.1016/j.envsoft.2025.106589","DOIUrl":"10.1016/j.envsoft.2025.106589","url":null,"abstract":"<div><div>This contribution presents a Variational Data Assimilation approach for the integration of water surface velocity fields into a 2D shallow water hydraulic model and the inference of distributed bathymetry and inflows. It describes the addition of flow velocity observations into an existing assimilation framework. A regularizing effect is introduced in the form of a simple bathymetry model. Synthetic experiments are designed to study the identifiability of the sought parameters from velocity observations and show that the assimilation method can leverage the informational content of synthetic observations in a twin experiment setup. The method notably allows good inferences of distributed upstream inflows from observations of their mixed velocity signatures at a downstream confluence. The method is then applied to a real river reach where fair inferences of the local cross-section are obtained. This combination of the ANDROMEDE and DassFlow platforms could enable fast, automated, physically-based estimations of distributed bathymetry and inflows from unintrusive measurements.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"193 ","pages":"Article 106589"},"PeriodicalIF":4.8,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144581130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

HOW to use continuous variables in geodiversity assessments – RASTER continuous morphodiversity model 如何在地质多样性评估中使用连续变量- RASTER连续形态多样性模型

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-07-03 DOI: 10.1016/j.envsoft.2025.106597

Tomasz Bartuś, Wojciech Mastej

{"title":"HOW to use continuous variables in geodiversity assessments – RASTER continuous morphodiversity model","authors":"Tomasz Bartuś, Wojciech Mastej","doi":"10.1016/j.envsoft.2025.106597","DOIUrl":"10.1016/j.envsoft.2025.106597","url":null,"abstract":"<div><div>One of the most common methods for assessing morphodiversity involves discretizing partial criteria to identify homogeneous patches of a particular landscape feature. The geometric configuration of these patches is then evaluated within statistical zones. This approach leads to significant information loss and is labor-intensive. The authors propose a new approach that uses topographic attributes as continuous regionalized variables and statistical measures of pixel variability within statistical zones. These models are referred to by the authors as Raster Continuous Morphodiversity (<em>RCM</em>). When developing such models, attention must be paid to whether the data are scalar or angular in nature and their statistical parameters. Depending on this, either regular or circular statistics should be applied.</div><div>In the case study for the Pieniny Mountains (Poland), the behavior of selected variability measures was demonstrated for five landscape features: Altitude, Aspect, Slope, Planar and Vertical Curvature, and Local Denivelation. Based on defined partial criteria, three <em>RCM</em> model variants were developed. In the first variant, standard deviations were used; in the second, circular statistics were applied for angular criteria; and in the third, the model was modified to exclude artifacts.</div><div>The developed <em>RCM</em> model variants were evaluated against well-known models from the literature, based on vector data, <em>SHDI</em> indices, and raster data. Additionally, a supervised classification model utilizing artificial neural networks and a Terrain Relief model for assessing morphodiversity potential were used for comparison. The analyses show that the developed <em>RCM</em> model is not only less labor-intensive but also the best-performing model.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"193 ","pages":"Article 106597"},"PeriodicalIF":4.8,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144569881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Time Distributed Deep Learning Models for Purely Exogenous Forecasting: Application to Water Table Depth Predictions Using Weather Image Time Series 纯外生预测的时间分布深度学习模型：使用天气图像时间序列进行地下水位预测的应用

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-07-03 DOI: 10.1016/j.envsoft.2025.106568

Matteo Salis , Abdourrahmane M. Atto , Stefano Ferraris , Rosa Meo

{"title":"Time Distributed Deep Learning Models for Purely Exogenous Forecasting: Application to Water Table Depth Predictions Using Weather Image Time Series","authors":"Matteo Salis , Abdourrahmane M. Atto , Stefano Ferraris , Rosa Meo","doi":"10.1016/j.envsoft.2025.106568","DOIUrl":"10.1016/j.envsoft.2025.106568","url":null,"abstract":"<div><div>Deep Learning (DL) models have revealed to be very effective in hydrology, especially in handling spatially distributed data (e.g. raster data). We have proposed two different DL models to predict the water table depth in the Grana-Maira catchment (Piedmont, IT) using only exogenous weather image time series. Both the models are made of a first Time Distributed Convolutional Neural Network (TDC) which encodes the images into hidden vectors. The first model, TDC-LSTM uses then a Sequential Module based on an LSTM layer to learn temporal relations and output the predictions. The second model, TDC-UnPWaveNet uses instead a new version of the WaveNet architecture, adapted for handling output of different length and completely shifted in the future to the input. Both models have shown remarkable results focusing on different learnable information: TDC-LSTM has focused more on bias while the TDC-UnPWaveNet more on the temporal dynamics maximizing correlation <span><math><mi>ρ</mi></math></span>, achieving mean BIAS (and standard deviation) −0.18(0.05), −0.25(0.19) and <span><math><mi>ρ</mi></math></span> 0.93(0.03), 0.96(0.01) respectively over all the sensors.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"193 ","pages":"Article 106568"},"PeriodicalIF":4.8,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144563640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Leveraging on the Ts/VI feature space capabilities to study land surface interactions: a new software tool to implement the so-called “analytical triangle” 利用t /VI特征空间能力研究陆地表面相互作用：实现所谓“分析三角”的新软件工具

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-07-03 DOI: 10.1016/j.envsoft.2025.106602

George P. Petropoulos, Spyridon E. Detsikas, Christina Lekka, Vasileios Anagnostopoulos

{"title":"Leveraging on the Ts/VI feature space capabilities to study land surface interactions: a new software tool to implement the so-called “analytical triangle”","authors":"George P. Petropoulos, Spyridon E. Detsikas, Christina Lekka, Vasileios Anagnostopoulos","doi":"10.1016/j.envsoft.2025.106602","DOIUrl":"10.1016/j.envsoft.2025.106602","url":null,"abstract":"<div><div>Understanding the mechanics that govern the partitioning of energy flux and radiative components as well as greenhouse gases is critical, given their significance in climate research and water resource management. In this context, remote sensing (RS)-based modelling approaches are increasingly gaining ground and amongst them the so-called “analytical triangle” method has gained prominence for estimating surface soil moisture and turbulent fluxes by exploiting the relationship between land surface temperature (LST) and vegetation indices (VI). However, until today the method still faces challenges, including subjectivity in defining boundary conditions and the absence of automation, which constrain its global implementation. This study introduces a novel standalone software tool for implementing the so-called “analytical triangle” technique. This software tool, retrieval “LISTEN Ts/VI” links SimSphere land biosphere model with remote sensing datasets enabling the retrievals of spatiotemporal estimates of both soil moisture and turbulent heat and moisture fluxes. By this approach, the module enhances the robustness and scalability of the “analytical triangle” approach, addressing critical gaps in its practical application. Additionally, herein pathways are outlined for further advancing the automation and operationalization of the “analytical triangle”, with a focus on facilitating its broader adoption for environmental monitoring.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"193 ","pages":"Article 106602"},"PeriodicalIF":4.8,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144595468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An open-source solver for partially-saturated flow and multicomponent reactive transport in the hyporheic zone 半饱和流和多组分反应输运的开源求解器

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-07-02 DOI: 10.1016/j.envsoft.2025.106583

Pei Li , Corey D. Wallace , Mohamad Reza Soltanian

{"title":"An open-source solver for partially-saturated flow and multicomponent reactive transport in the hyporheic zone","authors":"Pei Li , Corey D. Wallace , Mohamad Reza Soltanian","doi":"10.1016/j.envsoft.2025.106583","DOIUrl":"10.1016/j.envsoft.2025.106583","url":null,"abstract":"<div><div>Numerical models have been extensively used to understand and predict flow and reactive transport processes in the hyporheic zone. However, most models focus on fully saturated riverbeds without accounting for surface water stage fluctuations related to precipitation and flooding. To capture the complete picture of hyporheic processes in riverbeds and riverbanks, we developed a fully-coupled multiphase reactive transport solver using the Open Source Field Operation And Manipulation (OpenFOAM) platform. This solver captures surface water stage fluctuations and partially-saturated flow in fluvial sediment using VoF two-phase flow and extended-Darcy’s Law two-phase flow models for surface and subsurface domains, respectively. The transport models designed for partially saturated conditions in both domains are implemented. A geochemical reaction module, PhreeqcRM, is integrated into the solver to facilitate complex geochemical reaction networks. A two-way conservative flux boundary condition is implemented at the surface-subsurface interface to realistically map fluxes. The solver’s capability is illustrated through a variety of hyporheic-related problems across spatial scales. These include laboratory experiments and reactive transport in two and three dimensions, from the bedform scale to multiscale riverbeds and riverbanks with fluctuating surface water flow. This novel solver allows for quantifying dynamics in the hyporheic zone with fewer simplifications. Based on the code structure and parallel design of OpenFOAM, the solver can simulate large, three-dimensional (3D) multiscale cases. The code, examples, and pre- and post-processing scripts are all open source, providing community access to use and modify them as desired.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"193 ","pages":"Article 106583"},"PeriodicalIF":4.8,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144587530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Revealing intertidal topography with public satellite imagery: Adaptations of the waterline method 用公共卫星图像揭示潮间带地形：水线法的适应

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-07-02 DOI: 10.1016/j.envsoft.2025.106600

Lais Pool , Mario Luiz Mascagni , Antonio H.F. Klein , João Luiz Baptista Carvalho , Leonardo Gonçalves Lima , Wagner L.L. Costa , Rafael Queiroz Gonçalves , Luiza Pasetti Fiorini

{"title":"Revealing intertidal topography with public satellite imagery: Adaptations of the waterline method","authors":"Lais Pool , Mario Luiz Mascagni , Antonio H.F. Klein , João Luiz Baptista Carvalho , Leonardo Gonçalves Lima , Wagner L.L. Costa , Rafael Queiroz Gonçalves , Luiza Pasetti Fiorini","doi":"10.1016/j.envsoft.2025.106600","DOIUrl":"10.1016/j.envsoft.2025.106600","url":null,"abstract":"<div><div>Monitoring intertidal zones is essential for understanding coastal change and risk management. This study proposes an Adapted Waterline Method (ADP) for deriving intertidal topography from Sentinel-2 imagery. The method integrates water indices, adaptive Otsu thresholding, and Gaussian filtering for improving waterline detection. Water levels are assigned from tide gauges or models (TPXO-9, Delft3D), and elevations interpolated via Empirical Bayesian Kriging. Validation across six sites in Brazil and New Zealand, covering micro to macrotidal regimes, shows that ADP consistently outperforms the traditional Waterline method. RMSE reductions reached 85 %, and Spearman correlations improved from −0.17 to 0.93 in microtidal sandy areas. In macrotidal zones, ADP reduced RMSE from 0.56 to 0.39m. Tide gauge-derived DEMs yielded the highest accuracy (RMSE = 0.11m; ρ = 0.93), outperforming TPXO-9 and Delft3D. The approach is automated, reproducible, and accessible via the open-source CASSIE platform, enabling large-scale intertidal monitoring using public data.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"193 ","pages":"Article 106600"},"PeriodicalIF":4.8,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144587789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0