{"id":108672,"date":"2023-07-13T16:40:06","date_gmt":"2023-07-13T16:40:06","guid":{"rendered":"https:\/\/34.38.16.0\/?p=108672"},"modified":"2024-09-04T09:06:34","modified_gmt":"2024-09-04T09:06:34","slug":"validation-meteorological-data","status":"publish","type":"post","link":"https:\/\/lsi-lastem.com\/es\/validation-meteorological-data\/","title":{"rendered":"Validation of meteorological data: collaboration between LSI LASTEM and the Universit\u00e0 Statale of Milan"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"108672\" class=\"elementor elementor-108672 elementor-36111\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-57f7278 e-flex e-con-boxed e-con e-parent\" data-id=\"57f7278\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b91e66b elementor-widget elementor-widget-heading\" data-id=\"b91e66b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Validation of meteorological data: collaboration between LSI LASTEM and the Universit\u00e0 Statale of Milan<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-469ef35 elementor-widget elementor-widget-image\" data-id=\"469ef35\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"1180\" height=\"490\" src=\"https:\/\/lsi-lastem.com\/wp-content\/uploads\/AnyConv.com__LSI-e-Uni-Milano-Interna.webp\" class=\"attachment-full size-full wp-image-108676\" alt=\"Validation of meteorological data\" srcset=\"https:\/\/lsi-lastem.com\/wp-content\/uploads\/AnyConv.com__LSI-e-Uni-Milano-Interna.webp 1180w, https:\/\/lsi-lastem.com\/wp-content\/uploads\/AnyConv.com__LSI-e-Uni-Milano-Interna-300x125.webp 300w, https:\/\/lsi-lastem.com\/wp-content\/uploads\/AnyConv.com__LSI-e-Uni-Milano-Interna-1024x425.webp 1024w, https:\/\/lsi-lastem.com\/wp-content\/uploads\/AnyConv.com__LSI-e-Uni-Milano-Interna-768x319.webp 768w, https:\/\/lsi-lastem.com\/wp-content\/uploads\/AnyConv.com__LSI-e-Uni-Milano-Interna-1000x415.webp 1000w\" sizes=\"(max-width: 1180px) 100vw, 1180px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6cf72e7 e-flex e-con-boxed e-con e-parent\" data-id=\"6cf72e7\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-25d3ec1 elementor-widget elementor-widget-heading\" data-id=\"25d3ec1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Introduction to the project\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-431f8fc elementor-widget elementor-widget-text-editor\" data-id=\"431f8fc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>An interesting\u00a0<b>collaboration project\u00a0<\/b>between the<b>\u00a0Universit\u00e0 Statale of Milan<\/b>\u00a0and\u00a0<b>LSI LASTEM<\/b>\u00a0has led to the creation of a\u00a0<b>methodology for\u00a0<\/b>the\u00a0<b>validation of meteorological data in near real time<\/b>. Veronica Manara, researcher at the Department of Environmental Sciences and Policies, is carrying out a period of collaboration with the company as required by her contract financed with valuable resources on the National Operational Program (PON) \u201cResearch and Innovation 2014-2020\u201d. Here she was able to apply his research, which aims to find a method for validating meteorological variable data, in a practical context. The results obtained so far are promising and interesting.<\/p><p>The<b>\u00a0research project\u00a0<\/b>focuses on the creation of a methodology that allows an almost real-time control of meteorological data measured from ground stations. The research started with a preliminary<b>\u00a0investigation of the methodologies<\/b>\u00a0currently used by the Institutions for the validation of meteorological data. Subsequently, Dr. Manara proposed an innovative method, based on the analysis of long-term data from different meteorological stations. Through the analysis of decades of data and meteorological variables, it was possible to evaluate the validity of the information collected.\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a65596e elementor-widget elementor-widget-heading\" data-id=\"a65596e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Data analysis and validation method\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f17b232 elementor-widget elementor-widget-text-editor\" data-id=\"f17b232\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The proposed method for meteorological data validation is based on the\u00a0<b>analysis of data<\/b>\u00a0from different stations. The\u00a0<b>objective\u00a0<\/b>is<b>\u00a0to check\u00a0<\/b>the consistency of the\u00a0<b>collected data<\/b>\u00a0and, if necessary, correct them both in real time and afterwards. To conduct this type of analysis, it is necessary to use a large number of meteorological stations, which allow data to be compared with each other, to detect any anomalies in order to<b>\u00a0intervene in a targeted and timely manner<\/b>.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c4243c2 elementor-widget elementor-widget-heading\" data-id=\"c4243c2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Calculated values and measured values\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-54270cc elementor-widget elementor-widget-text-editor\" data-id=\"54270cc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>If there are\u00a0<b>many weather stations<\/b>\u00a0in a specific area, you can take advantage of the consistency of the behavior of the weather variables and compare the different stations with each other. Similarly, if a station has a<b>\u00a0large number of sensors<\/b>, it is possible to compare the values \u200b\u200bmeasured by each sensor.<\/p><p>However, a dense network of data and meteorological stations is not always available. Therefore, the researcher has developed an\u00a0<b>innovative approach\u00a0<\/b>applicable when there is only one station. This method is based on the idea of \u200b\u200bcreating a\u00a0<b>series of simulated data\u00a0<\/b>for a specific point in space which, in this case, corresponds to the location of the meteorological station in question. The goal is to use information that is completely\u00a0<b>independent from the data measured\u00a0<\/b>by the station itself and then compare the two values, in order to identify any anomalies and carry out a targeted intervention in near real time. This\u00a0<b>calculated data<\/b>\u00a0is obtained by superimposing<b>\u00a0two different components<\/b>: one that describes the spatial part and one that describes the temporal part of the meteorological variability.<\/p><p>For the\u00a0<b>spatial part<\/b>, normal reference values \u200b\u200bare used, called climatologies, which represent the average values \u200b\u200brecorded over the course of thirty years. These values \u200b\u200bare obtained from a high-resolution grid based on data measured by meteorological stations. An average value of the data measured over a given thirty years is then calculated and interpolated, taking into account the factors that influence the meteorological variable considered, such as topography, distance from the sea and altitude.<\/p><p>The\u00a0<b>temporal part<\/b>, on the other hand, comes from reanalysis datasets. Reanalysis provides a gridded dataset of meteorological variables for the past which, unlike observations, has the advantage of not having missing data. In other words, this figure is obtained by combining information on the state of the atmosphere, starting from observations, and the most recent forecasting models.<\/p><p>Then, temporal information from the reanalyses and spatial information from the climatologies are combined, interpolating the point of interest data. In this way, a series of data is obtained, which can be compared with the measured values.<\/p><p>The second step in this process is to define criteria and thresholds for comparing the two types of data. This makes it possible to determine whether a piece of data is reliable and correct, not reliable or completely wrong.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-dc11b49 elementor-widget elementor-widget-heading\" data-id=\"dc11b49\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Importance of collaboration between universities and companies\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b1a2527 elementor-widget elementor-widget-text-editor\" data-id=\"b1a2527\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The collaboration between the\u00a0<b>Universit\u00e0 Statale of Milan<\/b>\u00a0and\u00a0<b>LSI LASTEM<\/b>\u00a0represents a significant example of how academic research can\u00a0<b>benefit<\/b>\u00a0from collaboration with companies and vice versa. For researchers, this is an extraordinary opportunity to apply research to a practical and business context, in the same way, for LSI LASTEM, the collaboration with the university is an important moment for the promotion of research, to offer\u00a0<b>concrete support\u00a0<\/b>and\u00a0<b>expand its know-how<\/b>. Thanks to this collaboration, an\u00a0<b>innovative methodology<\/b>\u00a0for the validation of meteorological data was tested on real data, demonstrating the importance of the synergy between university and company, which guarantees continuous evolution and improvement of data collection and analysis methods.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1351f6a e-flex e-con-boxed e-con e-parent\" data-id=\"1351f6a\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-f5219f9 e-con-full e-flex e-con e-child\" data-id=\"f5219f9\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2496e99 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