NDLI: Inferring Low Cloud Base Heights at Night for Aviation Using Satellite Infrared and Surface Temperature Data

Content Provider	Springer Nature Link
Author	Ellrod, Gary P. Gultepe, Ismail
Copyright Year	2007
Abstract	A nighttime image product that depicts areas of the lowest cloud base heights has been developed by combining brightness temperature data from the Geostationary Operational Environmental Satellite (GOES) Imager InfraRed (IR) bands centered at 3.9 µm and 10.7 µm, with hourly shelter temperatures from surface observing sites and offshore marine buoys. A dependent data sample showed a good correlation between the surface temperature minus IR cloud top temperature differences versus measured cloud base heights. Histogram analysis indicated that a temperature difference of less than 4-C related to a > 50% frequency of ceilings below 1000 ft above ground level, the threshold for Instrument Flight Rules (IFR). Using this result as a model, an experimental Low Cloud Base image product was developed that highlights regions of likely IFR ceilings. Validation of the Low Cloud Base product for two separate periods resulted in Probabilities of Detection of 67% and 72% and False Alarm Rates of 6% and 11%, respectively. Some regional variation observed could be related to the relative frequency of multi-layered overcast conditions. The biggest factor leading to underdetection of IFR ceilings by the GOES Low Cloud Base product is the presence of overlying clouds, including thin cirrus contamination. The GOES Low Cloud Base product shows potential for use as guidance for aviation meteorologists over both continental and marine areas.
Starting Page	1193
Ending Page	1205
Page Count	13
File Format	PDF
ISSN	00334553
Journal	Pure and applied geophysics
Volume Number	164
Issue Number	6
e-ISSN	14209136
Language	English
Publisher	Birkhäuser-Verlag
Publisher Date	2007-06-08
Publisher Place	Basel
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Fog forecasting satellite applications aviation operations Geophysics/Geodesy
Content Type	Text
Resource Type	Article
Subject	Geochemistry and Petrology Geophysics

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

Estimation of Low Cloud Base Heights at Night from Satellite Infrared and Surface Temperature Data

Implementation of a Single-Column Model for Fog and Low Cloud Forecasting at Central-Spanish Airports

Climatological Tools for Low Visibility Forecasting

Analysis of Fog Probability from a Combination of Satellite and Ground Observation Data

A Fuzzy Logic Fog Forecasting Model for Perth Airport

Dynamical Nighttime Fog/Low Stratus Detection Based on Meteosat SEVIRI Data: A Feasibility Study

Power-law Scaling and Probabilistic Forecasting of Tsunami Runup Heights

Fog Research: A Review of Past Achievements and Future Perspectives

FTS (Fog To Snow) Conversion Process During the SNOW-V10 Project

Inferring Low Cloud Base Heights at Night for Aviation Using Satellite Infrared and Surface Temperature Data

Similar Documents

Estimation of Low Cloud Base Heights at Night from Satellite Infrared and Surface Temperature Data

Implementation of a Single-Column Model for Fog and Low Cloud Forecasting at Central-Spanish Airports

Climatological Tools for Low Visibility Forecasting

Analysis of Fog Probability from a Combination of Satellite and Ground Observation Data

A Fuzzy Logic Fog Forecasting Model for Perth Airport

Dynamical Nighttime Fog/Low Stratus Detection Based on Meteosat SEVIRI Data: A Feasibility Study

Power-law Scaling and Probabilistic Forecasting of Tsunami Runup Heights

Fog Research: A Review of Past Achievements and Future Perspectives

FTS (Fog To Snow) Conversion Process During the SNOW-V10 Project

Inferring Low Cloud Base Heights at Night for Aviation Using Satellite Infrared and Surface Temperature Data