NDLI: Using probability distribution functions for satellite validation

Content Provider	IEEE Xplore Digital Library
Author	Lary, D.J. Lait, L.
Copyright Year	1980
Abstract	Probability distribution functions (PDFs) can be used to assist in the validation of trace gas retrievals made by satellites. A major advantage of this approach is that large statistical samples are used that do not require correlative measurements to be co-located in space and time. Examples are shown from the launch of UARS through to the present. This approach is also useful to evaluate the consistency among Aura instruments as well as their agreement with other datasets. A key feature of this work is putting the observations of Aura in their long-term historical context via statistical comparisons with previous datasets collected over more than a decade. To validate the Aura data, we use data from a variety of platforms including solar occultation (Canadian ACE) and limb sounder satellite instruments, ozonesondes (WOUDC), lidar (NDSC), and aircraft instruments (AVE, PAVE, and MOZAIC). The width of the trace gas PDFs can be used to accurately estimate the atmospheric spatial variability (or representativeness uncertainty) of trace gases as a function of time and location. This statistical analysis is also being used as preparation for full Kalman filter chemical assimilations. The analysis is presented online at http://www.PDFCentral.info.
Sponsorship	IEEE Geoscience and Remote Sensing Society IEEE URSI
Starting Page	1359
Ending Page	1366
Page Count	8
File Size	529682
File Format	PDF
ISSN	01962892
Volume Number	44
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-05-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Probability distribution Satellites Instruments Time measurement Extraterrestrial measurements Laser radar Aircraft Uncertainty Gases Statistical analysis spatial variability Chemical data assimilation probability distribution functions (PDFs) representativeness uncertainty
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

The Ice, Cloud and Land Elevation Satellite mission: laser radar science for the NASA Earth Observing System

Earth satellite instrumentation

Scatterometer Backscatter Uncertainty Due to Wind Variability

Satellite Laser Altimeter for Measurement of Ice Sheet Topography

WITTEX: an innovative three-satellite radar altimeter concept

TRMM Validation Program

ICESat Geolocation Validation Using Airborne Photography

A comparison of global localization algorithms for planetary exploration

Early validation analyses of atmospheric profiles from EOS MLS on the aura Satellite

Using probability distribution functions for satellite validation

Similar Documents

The Ice, Cloud and Land Elevation Satellite mission: laser radar science for the NASA Earth Observing System

Earth satellite instrumentation

Scatterometer Backscatter Uncertainty Due to Wind Variability

Satellite Laser Altimeter for Measurement of Ice Sheet Topography

WITTEX: an innovative three-satellite radar altimeter concept

TRMM Validation Program

ICESat Geolocation Validation Using Airborne Photography

A comparison of global localization algorithms for planetary exploration

Early validation analyses of atmospheric profiles from EOS MLS on the aura Satellite

Using probability distribution functions for satellite validation