Tropical cyclone cold wake size dataset (AVHRR-only)
Fuente:
PANGAEA
Enregistré dans:
| Auteurs principaux: | , , , |
|---|---|
| Format: | Dataset Open Access |
| Langue: | en |
| Publié: |
PANGAEA
2023
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1867171039874646016 |
|---|---|
| author | Zhang, Jishi Lin, Yanluan Chavas, Daniel R Mei, Wei |
| author_facet | Zhang, Jishi Lin, Yanluan Chavas, Daniel R Mei, Wei |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | Mixing of the upper ocean by the wind field associated with tropical cyclones (TCs) creates observable cold wakes in sea surface temperature and may potentially influence ocean heat uptake. The relationship between cold wake size and storm size, however, has yet to be explored. Here we apply two objective methods to observed daily sea surface temperature data to quantify the size of TC-induced cold wakes. The obtained cold wake sizes agree well with the TC sizes estimated from the QuikSCAT-R wind field database with a correlation coefficient of 0.51 and 0.59, respectively. Furthermore, our new estimate of the total cooling that incorporates the variations in the cold wake size provides improved estimates of TC power dissipation and TC-induced ocean heat uptake. This study thus highlights the importance of cold wake size in evaluating the climatological effects of TCs. The cold wake size (rROI) dataset uploaded here is based on the daily NOAA 1/4° Optimum Interpolation Sea Surface Temperature, AVHRR-only subset (1981–2017). This is corresponding to the AVHRR+AMSR subset (2002-2011) uploaded to doi:10.1594/PANGAEA.907551. The objective cold wake size metrics (rROI) is derived based on an image processing methods -- the Region of Interest method. More information about the pretreatment and derivation of rROI please refer to Zhang et al. (2019). |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_962201 |
| institution | PANGAEA |
| language | en |
| publishDate | 2023 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Tropical cyclone cold wake size dataset (AVHRR-only) Zhang, Jishi Lin, Yanluan Chavas, Daniel R Mei, Wei Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); File content Mixing of the upper ocean by the wind field associated with tropical cyclones (TCs) creates observable cold wakes in sea surface temperature and may potentially influence ocean heat uptake. The relationship between cold wake size and storm size, however, has yet to be explored. Here we apply two objective methods to observed daily sea surface temperature data to quantify the size of TC-induced cold wakes. The obtained cold wake sizes agree well with the TC sizes estimated from the QuikSCAT-R wind field database with a correlation coefficient of 0.51 and 0.59, respectively. Furthermore, our new estimate of the total cooling that incorporates the variations in the cold wake size provides improved estimates of TC power dissipation and TC-induced ocean heat uptake. This study thus highlights the importance of cold wake size in evaluating the climatological effects of TCs. The cold wake size (rROI) dataset uploaded here is based on the daily NOAA 1/4° Optimum Interpolation Sea Surface Temperature, AVHRR-only subset (1981–2017). This is corresponding to the AVHRR+AMSR subset (2002-2011) uploaded to doi:10.1594/PANGAEA.907551. The objective cold wake size metrics (rROI) is derived based on an image processing methods -- the Region of Interest method. More information about the pretreatment and derivation of rROI please refer to Zhang et al. (2019). |
| title | Tropical cyclone cold wake size dataset (AVHRR-only) |
| topic | Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); File content |
| url | https://doi.org/10.1594/PANGAEA.962201 |