Details

Autor(en) / Beteiligte

• Scott, Noëlle A.
• Chédin, Alain
• Armante, Raymond
• Francis, Jennifer
• Stubenrauch, Claudia
• Chaboureau, Jean-Pierre
• Chevallier, Frederic
• Claud, Chantal
• Cheruy, Frédérique

Titel

Characteristics of the TOVS Pathfinder Path-B Dataset

Ist Teil von

• Bulletin of the American Meteorological Society, 1999-12, Vol.80 (12), p.2679-2701

Ort / Verlag

Boston, MA: American Meteorological Society

Erscheinungsjahr

1999

Link zum Volltext

Quelle

Elektronische Zeitschriftenbibliothek (Open access)

Beschreibungen/Notizen

• From 1979 to present, sensors aboard the NOAA series of polar meteorological satellites have provided continuous measurements of the earth’s surface and atmosphere. One of these sensors, theTIROS-NOperational Vertical Sounder (TOVS), observes earth-emitted radiation in 27 wavelength bands within the infrared and microwave portions of the spectrum, thereby creating a valuable resource for studying the climate of our planet. The NOAA–NASA Pathfinder program was conceived to make these data more readily accessible to the community in the form of processed geophysical variables. The Atmospheric Radiation Analysis group at the Laboratoire de Météorologie Dynamique of the Centre National de la Recherche Scientifique of France was selected to process TOVS data into climate products (Path-B). The Improved Initialization Inversion (3I) retrieval algorithm is used to compute these products from the satellite-observed radiances. The processing technique ensures internal coherence and minimizes both observational and computational biases. Products are at a 1° × 1° latitude–longitude grid and include atmospheric temperature profiles (up to 10 hPa); total precipitable water vapor and content above four levels up to 300 hPa; surface skin temperature; and cloud properties (amount, type, and cloud-top pressure and temperature). The information is archived as 1-day, 5-day, and monthly means on the entire globe; A.M. and P.M. products for each satellite are stored separately. Eight years have been processed to date, and processing continues at the rate of approximately two satellite-months per day of computer time. Quality assessment studies are presented. They consist of comparisons to conventional meteorological data and to other remote sensing datasets.