Most users are aware of Lakes Environmental Software’s Import from Excel utility which reads hourly meteorological data from an Excel spreadsheet and generates a text-based data file in SAMSON format. The generated file can be used in a variety of air modeling applications.
The latest update to AERMET View (Version 9.7) includes a new tool which automates the process of assessing meteorological data quality using advanced quality assurance (QA) procedures. In a previous Modeling Tip, we highlighted the QA options built into the AERMET model. The tool analyzes the surface file output by AERMET (*.SFC) and reports quality of variables being passed to the AERMOD model.
AERMAP is the US EPA’s terrain preprocessor for the AERMOD modeling system. AERMAP reads digital terrain data (e.g., USGS 3DEP [formerly NED] digital elevation models in GeoTIFF format) and calculates base elevations for sources and receptors and hill height scale factors for receptors. An integral part of executing AERMAP is identifying the files which will cover the modeling domain and satisfy these calculations.
|cookielawinfo-checkbox-analytics||11 months||This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".|
|cookielawinfo-checkbox-functional||11 months||The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".|
|cookielawinfo-checkbox-necessary||11 months||This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".|
|cookielawinfo-checkbox-others||11 months||This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.|
|cookielawinfo-checkbox-performance||11 months||This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".|
|PHPSESSID||session||This cookie is native to PHP applications. The cookie is used to store and identify a users' unique session ID for the purpose of managing user session on the website. The cookie is a session cookies and is deleted when all the browser windows are closed.|
|invoca_session||100 years||This cookie is set by the provider Invoca. This is a performance cookie used for caching values.|
|_ga||2 years||The _ga cookie, installed by Google Analytics, calculates visitor, session and campaign data and also keeps track of site usage for the site's analytics report. The cookie stores information anonymously and assigns a randomly generated number to recognize unique visitors.|
|_ga_0VBB84F57K||2 years||This cookie is installed by Google Analytics.|
|_gat_gtag_UA_204697799_1||1 minute||Set by Google to distinguish users.|
|_gcl_au||3 months||Provided by Google Tag Manager to experiment advertisement efficiency of websites using their services.|
|_gid||1 day||Installed by Google Analytics, _gid cookie stores information on how visitors use a website, while also creating an analytics report of the website's performance. Some of the data that are collected include the number of visitors, their source, and the pages they visit anonymously.|
|test_cookie||15 minutes||The test_cookie is set by doubleclick.net and is used to determine if the user's browser supports cookies.|
|_pk_id.ad0b58cb-a993-4edf-96d2-53ec986cf2f8.b0e5||1 year 27 days||No description|
|_pk_ses.ad0b58cb-a993-4edf-96d2-53ec986cf2f8.b0e5||30 minutes||No description|
|.AspNetCore.Session||session||No description available.|
|stg_externalReferrer||session||No description available.|
|stg_last_interaction||1 year||No description available.|
|stg_returning_visitor||1 year||No description available.|
|stg_traffic_source_priority||30 minutes||No description available.|