Item talk:Q237191
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{
"USGS Publications Warehouse": { "@context": "https://schema.org", "@type": "Article", "additionalType": "Journal Article", "name": "A suggestion for computing objective function in model calibration", "identifier": [ { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "70188041", "url": "https://pubs.usgs.gov/publication/70188041" }, { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70188041 }, { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1016/j.ecoinf.2014.08.002", "url": "https://doi.org/10.1016/j.ecoinf.2014.08.002" } ], "journal": { "@type": "Periodical", "name": "Ecological Informatics", "volumeNumber": "24", "issueNumber": null }, "inLanguage": "en", "isPartOf": [ { "@type": "CreativeWorkSeries", "name": "Ecological Informatics" } ], "datePublished": "2014", "dateModified": "2017-05-30", "abstract": "A parameter-optimization process (model calibration) is usually required for numerical model applications, which involves the use of an objective function to determine the model cost (model-data errors). The sum of square errors (SSR) has been widely adopted as the objective function in various optimization procedures. However, \u2018square error\u2019 calculation was found to be more sensitive to extreme or high values. Thus, we proposed that the sum of absolute errors (SAR) may be a better option than SSR for model calibration. To test this hypothesis, we used two case studies\u2014a hydrological model calibration and a biogeochemical model calibration\u2014to investigate the behavior of a group of potential objective functions: SSR, SAR, sum of squared relative deviation (SSRD), and sum of absolute relative deviation (SARD). Mathematical evaluation of model performance demonstrates that \u2018absolute error\u2019 (SAR and SARD) are superior to \u2018square error\u2019 (SSR and SSRD) in calculating objective function for model calibration, and SAR behaved the best (with the least error and highest efficiency). This study suggests that SSR might be overly used in real applications, and SAR may be a reasonable choice in common optimization implementations without emphasizing either high or low values (e.g., modeling for supporting resources management).", "description": "5 p.", "publisher": { "@type": "Organization", "name": "Elsevier" }, "author": [ { "@type": "Person", "name": "Wu, Yiping ywu@usgs.gov", "givenName": "Yiping", "familyName": "Wu", "email": "ywu@usgs.gov", "affiliation": [ { "@type": "Organization", "name": "Earth Resources Observation and Science (EROS) Center (Geography)", "url": "https://www.usgs.gov/centers/eros" } ] }, { "@type": "Person", "name": "Liu, Shuguang sliu@usgs.gov", "givenName": "Shuguang", "familyName": "Liu", "email": "sliu@usgs.gov", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0002-6027-3479", "url": "https://orcid.org/0000-0002-6027-3479" }, "affiliation": [ { "@type": "Organization", "name": "Earth Resources Observation and Science (EROS) Center (Geography)", "url": "https://www.usgs.gov/centers/eros" } ] } ], "funder": [ { "@type": "Organization", "name": "Earth Resources Observation and Science (EROS) Center", "url": "https://www.usgs.gov/centers/eros" } ] }, "OpenAlex": { "abstract_inverted_index": { "Abstract": [ 0 ], "A": [ 3 ], "parameter-optimization": [ 4 ], "process": [ 5 ], "(model": [ 6 ], "calibration)": [ 7 ], "is": [ 8 ], "usually": [ 9 ], "required": [ 10 ], "for": [ 11, 80, 149, 196 ], "numerical": [ 12 ], "model": [ 13, 26, 81, 93, 98, 128, 150 ], "applications,": [ 14, 175 ], "which": [ 15 ], "involves": [ 16 ], "the": [ 17, 25, 41, 67, 101, 155, 158 ], "use": [ 18 ], "of": [ 19, 32, 69, 103, 106, 113, 120, 127 ], "an": [ 20 ], "objective": [ 21, 42, 108, 147 ], "function": [ 22, 43, 148 ], "to": [ 23, 54, 58, 139 ], "determine": [ 24 ], "cost": [ 27 ], "(model-data": [ 28 ], "errors).": [ 29 ], "The": [ 30 ], "sum": [ 31, 68, 112, 119 ], "square": [ 33 ], "errors": [ 34, 71 ], "(SSR)": [ 35 ], "has": [ 36 ], "been": [ 37 ], "widely": [ 38 ], "adopted": [ 39 ], "as": [ 40 ], "in": [ 44, 145, 173, 183 ], "various": [ 45 ], "optimization": [ 46, 185 ], "procedures.": [ 47 ], "However,": [ 48 ], "\u2018square": [ 49, 140 ], "error\u2019": [ 50, 133, 141 ], "calculation": [ 51 ], "was": [ 52 ], "found": [ 53 ], "be": [ 55, 74, 170, 179 ], "more": [ 56 ], "sensitive": [ 57 ], "extreme": [ 59 ], "or": [ 60, 191 ], "high": [ 61, 190 ], "values.": [ 62 ], "Thus,": [ 63 ], "we": [ 64, 87 ], "proposed": [ 65 ], "that": [ 66, 131, 167 ], "absolute": [ 70, 121 ], "(SAR)": [ 72 ], "may": [ 73, 178 ], "a": [ 75, 96, 104, 180 ], "better": [ 76 ], "option": [ 77 ], "than": [ 78 ], "SSR": [ 79, 168 ], "calibration.": [ 82 ], "To": [ 83 ], "test": [ 84 ], "this": [ 85 ], "hypothesis,": [ 86 ], "used": [ 88, 172 ], "two": [ 89 ], "case": [ 90 ], "studies\u2014a": [ 91 ], "hydrological": [ 92 ], "calibration": [ 94 ], "and": [ 95, 118, 135, 143, 152, 161, 176 ], "biogeochemical": [ 97 ], "calibration\u2014to": [ 99 ], "investigate": [ 100 ], "behavior": [ 102 ], "group": [ 105 ], "potential": [ 107 ], "functions:": [ 109 ], "SSR,": [ 110 ], "SAR,": [ 111 ], "squared": [ 114 ], "relative": [ 115, 122 ], "deviation": [ 116, 123 ], "(SSRD),": [ 117 ], "(SARD).": [ 124 ], "Mathematical": [ 125 ], "evaluation": [ 126 ], "performance": [ 129 ], "demonstrates": [ 130 ], "\u2018absolute": [ 132 ], "(SAR": [ 134 ], "SARD)": [ 136 ], "are": [ 137 ], "superior": [ 138 ], "(SSR": [ 142 ], "SSRD)": [ 144 ], "calculating": [ 146 ], "calibration,": [ 151 ], "SAR": [ 153, 177 ], "behaved": [ 154 ], "best": [ 156 ], "(with": [ 157 ], "least": [ 159 ], "error": [ 160 ], "highest": [ 162 ], "efficiency).": [ 163 ], "This": [ 164 ], "study": [ 165 ], "suggests": [ 166 ], "might": [ 169 ], "overly": [ 171 ], "real": [ 174 ], "reasonable": [ 181 ], "choice": [ 182 ], "common": [ 184 ], "implementations": [ 186 ], "without": [ 187 ], "emphasizing": [ 188 ], "either": [ 189 ], "low": [ 192 ], "values": [ 193 ], "(e.g.,": [ 194 ], "modeling": [ 195 ], "supporting": [ 197 ], "resources": [ 198 ], "management).": [ 199 ] }, "apc_list": { "value": 2510, "currency": "USD", "value_usd": 2510, "provenance": "doaj" }, "apc_paid": { "value": 2510, "currency": "USD", "value_usd": 2510, "provenance": "doaj" }, "authorships": [ { "author_position": "first", "author": { "id": "https://openalex.org/A5083353005", "display_name": "Yiping Wu", "orcid": "https://orcid.org/0000-0002-5163-0884" }, "institutions": [ { "id": "https://openalex.org/I1286329397", "display_name": "United States Geological Survey", "ror": "https://ror.org/035a68863", "country_code": "US", "type": "government", "lineage": [ "https://openalex.org/I1286329397", "https://openalex.org/I1335927249" ] } ], "countries": [ "US" ], "is_corresponding": false, "raw_author_name": "Yiping Wu", "raw_affiliation_strings": [ "ASRC Federal, contractor to the U.S. Geological Survey (USGS) Earth 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