Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Weisz, Elisabeth, Smith, Nadia, Smith, William L. (2015) The use of hyperspectral sounding information to monitor atmospheric tendencies leading to severe local storms. Earth and Space Science, 2 (9). 369-377 doi:10.1002/2015ea000122

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleThe use of hyperspectral sounding information to monitor atmospheric tendencies leading to severe local storms
JournalEarth and Space Science
AuthorsWeisz, ElisabethAuthor
Smith, NadiaAuthor
Smith, William L.Author
Year2015 (September)Volume2
Issue9
PublisherAmerican Geophysical Union (AGU)
DOIdoi:10.1002/2015ea000122Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID3048294Long-form Identifiermindat:1:5:3048294:0
GUID0
Full ReferenceWeisz, Elisabeth, Smith, Nadia, Smith, William L. (2015) The use of hyperspectral sounding information to monitor atmospheric tendencies leading to severe local storms. Earth and Space Science, 2 (9). 369-377 doi:10.1002/2015ea000122
Plain TextWeisz, Elisabeth, Smith, Nadia, Smith, William L. (2015) The use of hyperspectral sounding information to monitor atmospheric tendencies leading to severe local storms. Earth and Space Science, 2 (9). 369-377 doi:10.1002/2015ea000122
In(2015, September) Earth and Space Science Vol. 2 (9) American Geophysical Union (AGU)

See Also

These are possibly similar items as determined by title/reference text matching only.

Weisz, Elisabeth, Smith, William L., Smith, Nadia (2013) Advances in simultaneous atmospheric profile and cloud parameter regression based retrieval from high-spectral resolution radiance measurements. Journal of Geophysical Research: Atmospheres, 118 (12). 6433-6443 doi:10.1002/jgrd.50521
Smith, Nadia, Smith, William L., Weisz, Elisabeth, Revercomb, Henry E. (2015) AIRS, IASI, and CrIS Retrieval Records at Climate Scales: An Investigation into the Propagation of Systematic Uncertainty. Journal of Applied Meteorology and Climatology, 54 (7). 1465-1481 doi:10.1175/jamc-d-14-0299.1
Stumpf, Gregory J., Smith, Travis M., Thomas, Claire (2003) The National Severe Storms Laboratory's contribution to severe weather warning improvement: multiple-sensor severe weather applications. Atmospheric Research, 67. 657-669 doi:10.1016/s0169-8095(03)00079-6
(2015) Issue Information. Earth and Space Science, 2 (9). doi:10.1002/ess2.9
Berndt, E. B., Smith, N., Barnet, C. D. (2023) Integrating NASA Aqua AIRS in a Realā€Time NUCAPS Scienceā€Toā€Applications System to Support Severe Weather Forecasting. Earth and Space Science, 10 (5) doi:10.1029/2022ea002725
Molina, Maria J., Gagne, David John, Prein, Andreas F. (2021) A Benchmark to Test Generalization Capabilities of Deep Learning Methods to Classify Severe Convective Storms in a Changing Climate. Earth and Space Science, 8 (9) doi:10.1029/2020ea001490
Smith, Nadia, Menzel, W. Paul, Weisz, Elisabeth, Heidinger, Andrew K., Baum, Bryan A. (2013) A Uniform Spaceā€“Time Gridding Algorithm for Comparison of Satellite Data Products: Characterization and Sensitivity Study. Journal of Applied Meteorology and Climatology, 52 (1). 255-268 doi:10.1175/jamc-d-12-031.1
(1925) SEVERE LOCAL HAIL AND WIND STORMS, AUGUST, 1925. Monthly Weather Review, 53. 369-371 doi:10.1175/1520-0493(1925)53<369:slhaws>2.0.co;2
Lindemann, Jeremiah D., Baker, William L. (2002) Using GIS to analyse a severe forest blowdown in the Southern Rocky Mountains. International Journal of Geographical Information Science, 16 (4). 377-399 doi:10.1080/13658810210136069
Browning, Keith A. (1964) Airflow and Precipitation Trajectories Within Severe Local Storms Which Travel to the Right of the Winds. Journal of the Atmospheric Sciences, 21 (6). 634-639 doi:10.1175/1520-0469(1964)021<0634:aaptws>2.0.co;2
(2015) Issue Information. Earth and Space Science, 2 (2). doi:10.1002/ess2.2
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are Ā© OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833ā€“844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: August 28, 2025 14:24:36
Go to top of page