1. Correction of Humidity Bias for Vaisala RS80-A Sondes during the AMMA 2006 Observing Period
- Author
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Françoise Guichard, Jean-Philippe Lafore, Mathieu Nuret, Jean-Luc Redelsperger, Olivier Bock, Jean-Blaise Ngamini, Anna Agusti-Panareda, Groupe d'étude de l'atmosphère météorologique (CNRM-GAME), Institut national des sciences de l'Univers (INSU - CNRS)-Météo France-Centre National de la Recherche Scientifique (CNRS), LAboratoire de Recherche en Géodésie (LAREG), Ecole nationale des sciences géographiques (ENSG), Institut géographique national [IGN] (IGN)-Institut géographique national [IGN] (IGN), European Centre for Medium-Range Weather Forecasts (ECMWF), ASECNA, Centre national de recherches météorologiques (CNRM), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), and Agence pour la sécurité de la navigation aérienne en Afrique et à Madagascar (ASECNA)
- Subjects
Atmospheric Science ,Daytime ,010504 meteorology & atmospheric sciences ,Meteorology ,0207 environmental engineering ,Ocean Engineering ,02 engineering and technology ,[SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology ,Monsoon ,01 natural sciences ,Comparaison de mesures ,Méthodes statistiques robustes ,Réseau de radiosondages ,West africa ,law.invention ,Atmosphere ,law ,Correction de biais ,Water cycle ,020701 environmental engineering ,Réseau GPS ,0105 earth and related environmental sciences ,[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph] ,business.industry ,Afrique de l'Ouest ,Humidity ,Mousson ,Cycle de l'eau ,Eau atmosphérique ,Climatology ,Calibration ,Radiosonde ,Global Positioning System ,Environmental science ,Humidité ,business ,Campagne de mesures - Abstract
During the African Monsoon Multidisciplinary Analyses (AMMA) program, which included a special observing period that took place over West Africa in 2006, a major effort was devoted to monitor the atmosphere and its water cycle. The radiosonde network was upgraded and enhanced, and GPS receivers deployed. Among all sondes released in the atmosphere, a significant number were Vaisala RS80-A sondes, which revealed a significant dry bias relative to Vaisala RS92 (a maximum of 14% in the lower atmosphere, reaching 20% in the upper levels). This paper makes use of a simple but robust statistical approach to correct the bias. Comparisons against independent GPS data show that the bias is almost removed at night, whereas for daytime conditions, a weak dry bias (5%) still remains. The correction enhances CAPE by a factor of about 4 and, thus, becomes much more in line with expected values over the region.
- Published
- 2008
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