- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
CALIPSO observations of stratospheric aerosols: a preliminary assessment ; volume:7 ; number:20 ; year:2007 ; pages:5283-5290
Atmospheric chemistry and physics ; 7, Heft 20 (2007), 5283-5290
- Creator
-
Thomason, L. W.
Pitts, M. C.
Winker, D. M.
- DOI
-
10.5194/acp-7-5283-2007
- URN
-
urn:nbn:de:101:1-201712157380
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:30 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Thomason, L. W.
- Pitts, M. C.
- Winker, D. M.
Other Objects (12)
The CALIPSO version 4.5 stratospheric aerosol subtyping algorithm
The CALIPSO version 4.5 stratospheric aerosol subtyping algorithm
CALIPSO polar stratospheric cloud observations: second-generation detection algorithm and composition discrimination
CALIPSO Level 3 Stratospheric Aerosol Product: Version 1.00 Algorithm Description and Initial Assessment
CALIPSO level 3 stratospheric aerosol profile product: version 1.00 algorithm description and initial assessment
Stratospheric aerosol extinction profile retrievals from SCIAMACHY limb-scatter observations
Stratospheric aerosol characteristics from SCIAMACHY limb observations: two-parameter retrieval
The stratospheric aerosol layer
Stratospheric SO 2 and sulphate aerosol, model simulations and satellite observations
Global stratospheric aerosol extinction profile retrievals from SCIAMACHY limb-scatter observations
Investigating the assimilation of CALIPSO global aerosol vertical observations using a four-dimensional ensemble Kalman filter
Assessment of tropospheric CALIPSO Version 4.2 aerosol types over the ocean using independent CALIPSO–SODA lidar ratios
The CALIPSO version 4.5 stratospheric aerosol subtyping algorithm
The CALIPSO version 4.5 stratospheric aerosol subtyping algorithm
CALIPSO polar stratospheric cloud observations: second-generation detection algorithm and composition discrimination
CALIPSO Level 3 Stratospheric Aerosol Product: Version 1.00 Algorithm Description and Initial Assessment
CALIPSO level 3 stratospheric aerosol profile product: version 1.00 algorithm description and initial assessment
Stratospheric aerosol extinction profile retrievals from SCIAMACHY limb-scatter observations
Stratospheric aerosol characteristics from SCIAMACHY limb observations: two-parameter retrieval
The stratospheric aerosol layer
Stratospheric SO 2 and sulphate aerosol, model simulations and satellite observations
Global stratospheric aerosol extinction profile retrievals from SCIAMACHY limb-scatter observations
Investigating the assimilation of CALIPSO global aerosol vertical observations using a four-dimensional ensemble Kalman filter
Assessment of tropospheric CALIPSO Version 4.2 aerosol types over the ocean using independent CALIPSO–SODA lidar ratios
The CALIPSO version 4.5 stratospheric aerosol subtyping algorithm
The CALIPSO version 4.5 stratospheric aerosol subtyping algorithm
CALIPSO polar stratospheric cloud observations: second-generation detection algorithm and composition discrimination
CALIPSO Level 3 Stratospheric Aerosol Product: Version 1.00 Algorithm Description and Initial Assessment
CALIPSO level 3 stratospheric aerosol profile product: version 1.00 algorithm description and initial assessment
Stratospheric aerosol extinction profile retrievals from SCIAMACHY limb-scatter observations
Stratospheric aerosol characteristics from SCIAMACHY limb observations: two-parameter retrieval
The stratospheric aerosol layer
Stratospheric SO 2 and sulphate aerosol, model simulations and satellite observations
Global stratospheric aerosol extinction profile retrievals from SCIAMACHY limb-scatter observations
Investigating the assimilation of CALIPSO global aerosol vertical observations using a four-dimensional ensemble Kalman filter