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These limitations include a computational cost that can be prohibitive for high-resolution 3-D applications, the presence of visual artifacts in the model realizations, and a low variability between model realizations due to the limited pool of patterns available in a finite-size training image. In this paper, we address these issues by proposing an iterative patch-based algorithm which adapts a graph cuts methodology that is widely used in computer graphics. Our adapted graph cuts method optimally cuts patches of pixel values borrowed from the training image and assembles them successively, each time accounting for the information of previously stitched patches. The initial simulation result might display artifacts, which are identified as regions of high cost. These artifacts are reduced by iteratively placing new patches in high-cost regions. In contrast to most patch-based algorithms, the proposed scheme can also efficiently address point conditioning. 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"note": "", "contentType": "application/pdf", "charset": "", "filename": "Konrad et al. - 2022 - Data-driven low-fidelity models for multi-fidelity Monte Carlo sampling in plasma micro-turbulence a.pdf", "md5": "a2af174e3d0eed32b23e1d12aa6871d5", "mtime": 1774298877511, "tags": [], "relations": {}, "dateAdded": "2026-03-23T20:47:57Z", "dateModified": "2026-03-23T20:47:57Z" } }, { "key": "A8TG43XX", "version": 5727, "library": { "type": "group", "id": 287302, "name": "flow123d group", "links": { "alternate": { "href": "https://www.zotero.org/groups/flow123d_group", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/287302/items/A8TG43XX", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/flow123d_group/items/A8TG43XX", "type": "text/html" } }, "meta": { "createdByUser": { "id": 16496, "username": "jbrezmorf", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/jbrezmorf", "type": "text/html" } } }, "creatorSummary": "Konrad et al.", "parsedDate": "2022-02-15", "numChildren": 2 }, "data": { "key": "A8TG43XX", "version": 5727, "itemType": "journalArticle", "title": "Data-driven low-fidelity models for multi-fidelity Monte Carlo sampling in plasma micro-turbulence analysis", "creators": [ { "creatorType": "author", "firstName": "Julia", "lastName": "Konrad" }, { "creatorType": "author", "firstName": "Ionuţ-Gabriel", "lastName": "Farcaş" }, { "creatorType": "author", "firstName": "Benjamin", "lastName": "Peherstorfer" }, { "creatorType": "author", "firstName": "Alessandro", "lastName": "Di Siena" }, { "creatorType": "author", "firstName": "Frank", "lastName": "Jenko" }, { "creatorType": "author", "firstName": "Tobias", "lastName": "Neckel" }, { "creatorType": "author", "firstName": "Hans-Joachim", "lastName": "Bungartz" } ], "abstractNote": "The linear micro-instabilities driving turbulent transport in magnetized fusion plasmas (as well as the respective nonlinear saturation mechanisms) are known to be sensitive with respect to various physical parameters characterizing the background plasma and the magnetic equilibrium. Therefore, uncertainty quantification is essential for achieving predictive numerical simulations of plasma turbulence. However, the high computational costs of the required gyrokinetic simulations and the large number of parameters render standard Monte Carlo techniques intractable. To address this problem, we propose a multi-fidelity Monte Carlo approach in which we employ data-driven low-fidelity models that exploit the structure of the underlying problem such as low intrinsic dimension and anisotropic coupling of the stochastic inputs. The low-fidelity models are efficiently constructed via sensitivity-driven dimension-adaptive sparse grid interpolation using both the full set of uncertain inputs and subsets comprising only selected, important parameters. We illustrate the power of this method by applying it to two plasma turbulence problems with up to 14 stochastic parameters, demonstrating that it is up to four orders of magnitude more efficient than standard Monte Carlo methods measured in single-core performance, which translates into a runtime reduction from around eight days to one hour on 240 cores on parallel machines.", "publicationTitle": "Journal of Computational Physics", "publisher": "", "place": "", "date": "2022-02-15", "volume": "451", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "110898", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Journal of Computational Physics", "DOI": "10.1016/j.jcp.2021.110898", "citationKey": "konradDatadrivenLowfidelityModels2022", "url": "https://www.sciencedirect.com/science/article/pii/S0021999121007932", "accessDate": "2026-03-23T20:47:40Z", "PMID": "", "PMCID": "", "ISSN": "0021-9991", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Multi-fidelity Monte Carlo sampling", "type": 1 }, { "tag": "Plasma micro-turbulence", "type": 1 }, { "tag": "Reduced-dimension low-fidelity models", "type": 1 }, { "tag": "Sensitivity-driven adaptivity", "type": 1 } ], "collections": [ "QW2GJWK2" ], "relations": {}, "dateAdded": "2026-03-23T20:47:40Z", "dateModified": "2026-03-23T20:47:40Z" } }, { "key": "AS5A5D7X", "version": 5708, "library": { "type": "group", "id": 287302, "name": "flow123d group", "links": { "alternate": { "href": "https://www.zotero.org/groups/flow123d_group", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/287302/items/AS5A5D7X", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/flow123d_group/items/AS5A5D7X", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/287302/items/38YHDMW5", "type": "application/json" } }, "meta": { "createdByUser": { "id": 16496, "username": "jbrezmorf", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/jbrezmorf", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "AS5A5D7X", "version": 5708, "parentItem": "38YHDMW5", "itemType": "attachment", "linkMode": "imported_url", "title": "ScienceDirect Full Text PDF", "accessDate": "2026-03-23T20:30:55Z", "url": "https://pdf.sciencedirectassets.com/271429/1-s2.0-S0306261921X00207/1-s2.0-S0306261921009752/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjELz%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCIQCnSbRZx32AAAoIH8utpSKbXXVOKoQtZUfhRx6rAujaOAIgFoYZBE6J37tr4fpdnyQ3WCMvNjPi%2FADoWEvfscTuhIsqvAUIhf%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FARAFGgwwNTkwMDM1NDY4NjUiDNfvSwloQpLfSPuzWiqQBbB4UD4re3%2Bwh4CJgQetjqZG9%2B4JcLwMhXPjZlBfS%2BOtYOfDKM5nPiJ6b5gJDCQsiI7yfMAaA8GNtvr4IDT1DG8G3SJ7kJ%2BfUlypm2Rm%2Bve37B%2FQYTx1uZcMIVnlEibmjUSrGFe13tqusara7hKU%2FjkRRLb1OqmulMhLx9Qey8yRARiBRl%2Fem%2FdrYofPTRAMy1RJ5kqHEojzmvuAcKGaFZ%2FcCQnUeBD8YUIawU2vvt6Ihnbo1CQgo1cffk25FeGn9nNqNj1ZkX5FzZdf7OGiSRNhGGlthcTx5ucEGKOyC9iT9XGlnTyXrfhTV0z0D4Ry1j%2F4JmkRn14zU%2BrO%2BqOyz%2BZV8kR53bIRoeuN29ueYsu5%2BL9R%2F4U9ZXuhYiOWkag04%2BB0vsN6FeaMzsG7IY7iTRxJNxzEstJSLGkE5Eg%2FMyiBr5WtKmbyKm9ZXivrxrrCBdxNi%2BT039cX42JhzDwkqWct0USpOs9ol6OCGMl9RqrPqP3v0BIl0SmTU1RTgTDC2BhUdqy6x899g133dKFiTJOZrD6j7GjKH%2BH3Omt0gwEY17OX%2FGbzF8aPdQ7dOYHssjXCBQaOWw2dSMwLOclKNct%2BDRxUVQnG9RkKRTFS9ahX0NGp2MkHc%2BJ%2FfMePhFdknjxKdu7na%2FG3W6z7vnHJWmDam2XzRwmloS7SGoa5qi4CnDgflJ4q4UykJ1jxQISapk1lP38wQQRj58EXIE5qReeJNSEu6wV3E5Y5ZlzX7S5vCL%2FarJeHJLpInrveH385cq47e6u8Gb8dR3U4673pQTHLa3RCshQsZf3XTDJeYIU%2F58SY7WGQ5PKALmz7GI0ZoyuoOJwehlU3dzb2xdWHZjiCXkfkvQGp9D5Bv%2BI7owmrMMSohs4GOrEBoT4kjTBR0%2BGQ31yv7TwjAJOAgT2Mfy6zTjZHexrR5p4JcKE6Dnc%2Fnftky96CptzUfwb6ZqGOf1ejX6l2mPr7hbuL8EEKozkSiMl1j9nbSY4x2cG2Bhsf2jWyhEu9fm6OElgHe9iR%2FjDTWsZjCYCt8ju7HTcKaankDq%2B9F4%2BvkjcSiozTqZ36TusjZr%2FRuxSQCDnA4NXYjP7q2lsHDfHpuzMYCYXpWlCRWeDkbh55Ajx2&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20260323T203050Z&X-Amz-SignedHeaders=host&X-Amz-Expires=300&X-Amz-Credential=ASIAQ3PHCVTYVO4OV4CO%2F20260323%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=7e38a341ad29b43d5d72e35e47593dda08dfcaeb0d43fa62c28fa8bf55ff33a0&hash=e54223a3b6f69059410a763a2dcdafe690b12ebef5e5d8fb32584f52c29dd3c7&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S0306261921009752&tid=spdf-371f0a8e-2d9b-429d-9283-e298f3e530a1&sid=a4eb765221d3074dc95ac9973504901b37b6gxrqb&type=client&tsoh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&rh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&ua=191f5b045e56555d5104&rr=9e10323d6c8363f3&cc=cz", "note": "", "contentType": "application/pdf", "charset": "", "filename": "Zhang et al. - 2021 - Application of upscaling methods for fluid flow and mass transport in multi-scale heterogeneous medi.pdf", "md5": "64f4ea927453ca9c2f19350766c4319f", "mtime": 1774297855019, "tags": [], "relations": {}, "dateAdded": "2026-03-23T20:30:55Z", "dateModified": "2026-03-23T20:30:55Z" } }, { "key": "DPSWGP8F", "version": 5707, "library": { "type": "group", "id": 287302, "name": "flow123d group", "links": { "alternate": { "href": "https://www.zotero.org/groups/flow123d_group", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/287302/items/DPSWGP8F", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/flow123d_group/items/DPSWGP8F", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/287302/items/38YHDMW5", "type": "application/json" } }, "meta": { "createdByUser": { "id": 16496, "username": "jbrezmorf", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/jbrezmorf", "type": "text/html" } } } }, "data": { "key": "DPSWGP8F", "version": 5707, "parentItem": "38YHDMW5", "itemType": "attachment", "linkMode": "imported_url", "title": "ScienceDirect Snapshot", "accessDate": "2026-03-23T20:30:53Z", "url": "https://www.sciencedirect.com/science/article/pii/S0306261921009752", "note": "", "contentType": "text/html", "charset": "utf-8", "filename": "S0306261921009752.html", "md5": "e77e29975aaf8dc379e90865141ee05f", "mtime": 1774297853761, "tags": [], "relations": {}, "dateAdded": "2026-03-23T20:30:53Z", "dateModified": "2026-03-23T20:30:53Z" } }, { "key": "38YHDMW5", "version": 5728, "library": { "type": "group", "id": 287302, "name": "flow123d group", "links": { "alternate": { "href": "https://www.zotero.org/groups/flow123d_group", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/287302/items/38YHDMW5", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/flow123d_group/items/38YHDMW5", "type": "text/html" } }, "meta": { "createdByUser": { "id": 16496, "username": "jbrezmorf", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/jbrezmorf", "type": "text/html" } } }, "creatorSummary": "Zhang et al.", "parsedDate": "2021-12-01", "numChildren": 2 }, "data": { "key": "38YHDMW5", "version": 5728, "itemType": "journalArticle", "title": "Application of upscaling methods for fluid flow and mass transport in multi-scale heterogeneous media: A critical review", "creators": [ { "creatorType": "author", "firstName": "Xiaoying", "lastName": "Zhang" }, { "creatorType": "author", "firstName": "Funing", "lastName": "Ma" }, { "creatorType": "author", "firstName": "Shangxian", "lastName": "Yin" }, { "creatorType": "author", "firstName": "Corey D", "lastName": "Wallace" }, { "creatorType": "author", "firstName": "Mohamad Reza", "lastName": "Soltanian" }, { "creatorType": "author", "firstName": "Zhenxue", "lastName": "Dai" }, { "creatorType": "author", "firstName": "Robert W.", "lastName": "Ritzi" }, { "creatorType": "author", "firstName": "Ziqi", "lastName": "Ma" }, { "creatorType": "author", "firstName": "Chuanjun", "lastName": "Zhan" }, { "creatorType": "author", "firstName": "Xiaoshu", "lastName": "Lü" } ], "abstractNote": "Physical and biogeochemical heterogeneity dramatically impacts fluid flow and reactive solute transport behaviors in geological formations across scales. From micro pores to regional reservoirs, upscaling has been proven to be a valid approach to estimate large-scale parameters by using data measured at small scales. Upscaling has considerable practical importance in oil and gas production, energy storage, carbon geologic sequestration, contamination remediation, and nuclear waste disposal. This review covers, in a comprehensive manner, the upscaling approaches available in the literature and their applications on various processes, such as advection, dispersion, matrix diffusion, sorption, and chemical reactions. We enclose newly developed approaches and distinguish two main categories of upscaling methodologies, deterministic and stochastic. Volume averaging, one of the deterministic methods, has the advantage of upscaling different kinds of parameters and wide applications by requiring only a few assumptions with improved formulations. Stochastic analytical methods have been extensively developed but have limited impacts in practice due to their requirement for global statistical assumptions. With rapid improvements in computing power, numerical solutions have become more popular for upscaling. In order to tackle complex fluid flow and transport problems, the working principles and limitations of these methods are emphasized. Still, a large gap exists between the approach algorithms and real-world applications. To bridge the gap, an integrated upscaling framework is needed to incorporate in the current upscaling algorithms, uncertainty quantification techniques, data sciences, and artificial intelligence to acquire laboratory and field-scale measurements and validate the upscaled models and parameters with multi-scale observations in future geo-energy research.", "publicationTitle": "Applied Energy", "publisher": "", "place": "", "date": "2021-12-01", "volume": "303", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "117603", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Applied Energy", "DOI": "10.1016/j.apenergy.2021.117603", "citationKey": "zhangApplicationUpscalingMethods2021", "url": "https://www.sciencedirect.com/science/article/pii/S0306261921009752", "accessDate": "2026-03-23T20:30:37Z", "PMID": "", "PMCID": "", "ISSN": "0306-2619", "archive": "", "archiveLocation": "", "shortTitle": "Application of upscaling methods for fluid flow and mass transport in multi-scale heterogeneous media", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Fluid flow", "type": 1 }, { "tag": "Geological statistics", "type": 1 }, { "tag": "Multi-scale heterogeneous media", "type": 1 }, { "tag": "Reactive transport", "type": 1 }, { "tag": "Upscaling", "type": 1 } ], "collections": [ "5RV3U9LK" ], "relations": {}, "dateAdded": "2026-03-23T20:30:37Z", "dateModified": "2026-03-23T20:30:37Z" } }, { "key": "R2AJRC5T", "version": 5701, "library": { "type": "group", "id": 287302, "name": "flow123d group", "links": { "alternate": { "href": "https://www.zotero.org/groups/flow123d_group", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/287302/items/R2AJRC5T", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/flow123d_group/items/R2AJRC5T", "type": "text/html" }, "up": { "href": 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"note": "", "contentType": "application/pdf", "charset": "", "filename": "Meng et al. - 2020 - Development and application of an advection-dispersion model for data analysis of electromigration e.pdf", "md5": "c5c146d399654d3b9dfd3cc3ca98a4fd", "mtime": 1772466117930, "tags": [], "relations": {}, "dateAdded": "2026-03-02T15:41:57Z", "dateModified": "2026-03-02T15:41:57Z" } }, { "key": "UVR5VTDG", "version": 5700, "library": { "type": "group", "id": 287302, "name": "flow123d group", "links": { "alternate": { "href": "https://www.zotero.org/groups/flow123d_group", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/287302/items/UVR5VTDG", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/flow123d_group/items/UVR5VTDG", "type": "text/html" } }, "meta": { "createdByUser": { "id": 16496, "username": "jbrezmorf", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/jbrezmorf", "type": "text/html" } } }, "creatorSummary": "Meng et al.", "parsedDate": "2020-05-01", "numChildren": 2 }, "data": { "key": "UVR5VTDG", "version": 5700, "itemType": "journalArticle", "title": "Development and application of an advection-dispersion model for data analysis of electromigration experiments with intact rock cores", "creators": [ { "creatorType": "author", "firstName": "Shuo", "lastName": "Meng" }, { "creatorType": "author", "firstName": "Xiaodong", "lastName": "Li" }, { "creatorType": "author", "firstName": "Marja", "lastName": "Siitari-Kauppi" }, { "creatorType": "author", "firstName": "Longcheng", "lastName": "Liu" } ], "abstractNote": "An advection-dispersion model was developed for interpreting the experimental results of electromigration in granitic rock cores. The most important mechanisms governing the movement of the tracer ions, i.e. electromigration, electroosmosis and dispersion were taken into account by the advection-dispersion model, but the influence of aqueous chemistry was ignored. An analytical solution in the Laplace domain was derived and then applied to analyze the measured results of a series of experiments, performed in an updated experimental device using different applied voltages. The modelling results suggested that both studied tracers, i.e. iodide and selenite, are effectively non-sorbing in the intact rock investigated. The effective diffusivities and formation factors evaluated from the model were also found to be in good agreement with data reported in literature and the associated uncertainties are much smaller than those obtained from the classical ideal plug-flow model, which accounts only for the dominant effect of electromigration on ionic transport. To explore further how the quality of parameter identifications would be influenced by neglect of aqueous chemistry, a reactive transport model was also implemented, which may be regarded as a multi-component version of the advection-dispersion model. The analysis showed that the advection-dispersion model works equally well as the reactive transport model but requires much less computational demand. 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It is common to model solute concentrations in transport by groundwater with the aid of the ADE. Spreading is quantified by macrodispersivity coefficients, which are much larger than the laboratory observed pore-scale dispersivities. In the frame of stochastic theory, longitudinal macrodispersivity is related to the hydraulic conductivity spatial variability via its statistical moments (mean, variance, integral scales), which are generally determined by geostatistical analysis of field measurements. In many cases, especially for preliminary assessment of contaminant spreading, these data are not available and ad hoc values are adopted by practitioners. The present study aims at recommending dispersivity values based on a thorough analysis of tens of field experiments. Aquifers are classified as of weak, medium, and high heterogeneity and for each class a range of macrodispersivity values is recommended. Much less data are available for the transverse macrodispersivities, which are significantly smaller than the longitudinal one. Nevertheless, a few realistic values based on field data, are recommended for applications. Transport models using macrodispersivities can predict mean concentrations, different from the local ones. They can be used for estimation of robust measures, like plumes spatial moments, longitudinal mass distribution and breakthrough curves at control planes.", "publicationTitle": "Groundwater", "publisher": "", "place": "", "date": "2023", "volume": "61", "issue": "3", "section": "", "partNumber": "", "partTitle": "", "pages": "346-362", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1111/gwat.13252", "citationKey": "zechEvidenceBasedEstimation2023", "url": "https://onlinelibrary.wiley.com/doi/abs/10.1111/gwat.13252", "accessDate": "2026-01-31T21:28:07Z", "PMID": "", "PMCID": "", "ISSN": "1745-6584", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "en", "libraryCatalog": "Wiley Online Library", "callNumber": "", "rights": "", "extra": "_eprint: https://ngwa.onlinelibrary.wiley.com/doi/pdf/10.1111/gwat.13252", "tags": [], "collections": [ "YH9XJIHN" ], "relations": {}, "dateAdded": "2026-01-31T21:28:07Z", "dateModified": "2026-01-31T21:28:07Z" } }, { "key": "BICI6TR2", "version": 5647, "library": { "type": "group", "id": 287302, "name": "flow123d group", "links": { "alternate": { "href": "https://www.zotero.org/groups/flow123d_group", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/287302/items/BICI6TR2", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/flow123d_group/items/BICI6TR2", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/287302/items/2J4P7XVB", "type": "application/json" } }, "meta": { "createdByUser": { "id": 16496, "username": "jbrezmorf", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/jbrezmorf", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "BICI6TR2", "version": 5647, "parentItem": "2J4P7XVB", "itemType": "attachment", "linkMode": "imported_url", "title": "Full Text PDF", "accessDate": "2026-01-26T00:45:51Z", "url": "https://journals.ametsoc.org/downloadpdf/view/journals/mwre/100/2/1520-0493_1972_100_0081_otaosh_2_3_co_2.pdf", "note": "", "contentType": "application/pdf", "charset": "", "filename": "Priestley and Taylor - 1972 - On the Assessment of Surface Heat Flux and Evaporation Using Large-Scale Parameters.pdf", "md5": "9aa2c5b75bc975b87b5aa0411efd780e", "mtime": 1769388351335, "tags": [], "relations": {}, "dateAdded": "2026-01-26T00:45:51Z", "dateModified": "2026-01-26T00:45:51Z" } }, { "key": "2J4P7XVB", "version": 5699, "library": { "type": "group", "id": 287302, "name": "flow123d group", "links": { "alternate": { "href": "https://www.zotero.org/groups/flow123d_group", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/287302/items/2J4P7XVB", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/flow123d_group/items/2J4P7XVB", "type": "text/html" } }, "meta": { "createdByUser": { "id": 16496, "username": "jbrezmorf", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/jbrezmorf", "type": "text/html" } } }, "lastModifiedByUser": { "id": 989297, "username": "pkabele", "name": "Petr Kabele", "links": { "alternate": { "href": "https://www.zotero.org/pkabele", "type": "text/html" } } }, "creatorSummary": "Priestley and Taylor", "parsedDate": "1972-02-01", "numChildren": 1 }, "data": { "key": "2J4P7XVB", "version": 5699, "itemType": "journalArticle", "title": "On the Assessment of Surface Heat Flux and Evaporation Using Large-Scale Parameters", "creators": [ { "creatorType": "author", "firstName": "C. H. B.", "lastName": "Priestley" }, { "creatorType": "author", "firstName": "R. J.", "lastName": "Taylor" } ], "abstractNote": "In an introductory review it is reemphasized that the large-scale parameterization of the surface fluxes of sensible and latent heat is properly expressed in terms of energetic considerations over land while formulas of the bulk aerodynamic type are most suitahle over the sea. A general framework is suggested. Data from a number of saturated land sites and open water sites in the absence of advection suggest a widely applicable formula for the relationship between sensible and latent heat fluxes. For drying land surfaces, we assume that the evaporation rate is given by the same formula for evaporation multiplied by a factor. This factor is found to remain at unity while an amount of water, varying from one site to another, is evaporated. 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