Evaluation of the Snow-Ice Enhanced Weather Research and Forecasting Model

The performance of the snow-ice enhanced Weather Research and Forecasting (WRF-ice) model was evaluated for the simulation of a mesocyclone at a 5-km resolution for the period of October 23-25, 2017 over the Antarctic Peninsula (AP) using the Moderate Resolution Imaging Spectroradiometer (MODIS). MO...

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Main Author: Wiles, Jackson
Format: Text
Language:unknown
Published: Aggie Digital Collections and Scholarship 2019
Subjects:
Online Access:https://digital.library.ncat.edu/ugresearchsymposia/159
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spelling ftncarolinaatsun:oai:digital.library.ncat.edu:ugresearchsymposia-1183 2023-05-15T13:36:29+02:00 Evaluation of the Snow-Ice Enhanced Weather Research and Forecasting Model Wiles, Jackson 2019-04-01T07:00:00Z https://digital.library.ncat.edu/ugresearchsymposia/159 unknown Aggie Digital Collections and Scholarship https://digital.library.ncat.edu/ugresearchsymposia/159 Undergraduate Research and Creative Inquiry Symposia snow-ice enhanced Weather Research and Forecasting model mesocyclone simulation Physics text 2019 ftncarolinaatsun 2022-02-27T09:00:42Z The performance of the snow-ice enhanced Weather Research and Forecasting (WRF-ice) model was evaluated for the simulation of a mesocyclone at a 5-km resolution for the period of October 23-25, 2017 over the Antarctic Peninsula (AP) using the Moderate Resolution Imaging Spectroradiometer (MODIS). MODIS data is acquired from two satellites known as Terra (MOD) and Aqua (MYD). Two types of MODIS products are used in the evaluation, including the Land Surface Temperature (LST) and Ice Surface Temperature (IST). Based on the availability of MODIS data, the hours used in the evaluation against MOD were 11.5-15.5 Universal Time Coordinated (UTC) for daytime and 08-12 UTC for nighttime. In the evaluation against MYD, the daytime hours were 18-22 UTC and nighttime of 02-06 UTC due to different orbital times of the Aqua satellite. The LST product is configured on a 0.05 degree latitude/longitude climate-modeling grid (CMG), and the IST product is on a 4-km resolution Equal Area Scalable Earth Grid (EASE-Grid). Both of the two products are combined to the WRF-ice domain using the closest point interpolation Text Antarc* Antarctic Antarctic Peninsula North Carolina Agricultural and Technical State University: NC A&T SU Bluford Library's Aggie Digital Collections and Scholarship Antarctic The Antarctic Antarctic Peninsula
institution Open Polar
collection North Carolina Agricultural and Technical State University: NC A&T SU Bluford Library's Aggie Digital Collections and Scholarship
op_collection_id ftncarolinaatsun
language unknown
topic snow-ice enhanced Weather Research and Forecasting model
mesocyclone simulation
Physics
spellingShingle snow-ice enhanced Weather Research and Forecasting model
mesocyclone simulation
Physics
Wiles, Jackson
Evaluation of the Snow-Ice Enhanced Weather Research and Forecasting Model
topic_facet snow-ice enhanced Weather Research and Forecasting model
mesocyclone simulation
Physics
description The performance of the snow-ice enhanced Weather Research and Forecasting (WRF-ice) model was evaluated for the simulation of a mesocyclone at a 5-km resolution for the period of October 23-25, 2017 over the Antarctic Peninsula (AP) using the Moderate Resolution Imaging Spectroradiometer (MODIS). MODIS data is acquired from two satellites known as Terra (MOD) and Aqua (MYD). Two types of MODIS products are used in the evaluation, including the Land Surface Temperature (LST) and Ice Surface Temperature (IST). Based on the availability of MODIS data, the hours used in the evaluation against MOD were 11.5-15.5 Universal Time Coordinated (UTC) for daytime and 08-12 UTC for nighttime. In the evaluation against MYD, the daytime hours were 18-22 UTC and nighttime of 02-06 UTC due to different orbital times of the Aqua satellite. The LST product is configured on a 0.05 degree latitude/longitude climate-modeling grid (CMG), and the IST product is on a 4-km resolution Equal Area Scalable Earth Grid (EASE-Grid). Both of the two products are combined to the WRF-ice domain using the closest point interpolation
format Text
author Wiles, Jackson
author_facet Wiles, Jackson
author_sort Wiles, Jackson
title Evaluation of the Snow-Ice Enhanced Weather Research and Forecasting Model
title_short Evaluation of the Snow-Ice Enhanced Weather Research and Forecasting Model
title_full Evaluation of the Snow-Ice Enhanced Weather Research and Forecasting Model
title_fullStr Evaluation of the Snow-Ice Enhanced Weather Research and Forecasting Model
title_full_unstemmed Evaluation of the Snow-Ice Enhanced Weather Research and Forecasting Model
title_sort evaluation of the snow-ice enhanced weather research and forecasting model
publisher Aggie Digital Collections and Scholarship
publishDate 2019
url https://digital.library.ncat.edu/ugresearchsymposia/159
geographic Antarctic
The Antarctic
Antarctic Peninsula
geographic_facet Antarctic
The Antarctic
Antarctic Peninsula
genre Antarc*
Antarctic
Antarctic Peninsula
genre_facet Antarc*
Antarctic
Antarctic Peninsula
op_source Undergraduate Research and Creative Inquiry Symposia
op_relation https://digital.library.ncat.edu/ugresearchsymposia/159
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