1Dipartimento di Chimica Fisica e Inorganica, Università di Bologna, Italy
2Fraunhofer-Institut für Naturwissenschaftlich-Technische Trendanalysen, Euskirchen, Germany
3Istituto di Fisica Applicata "Nello Carrara", Consiglio Nazionale delle Ricerche, Firenze (Italy)
4Laboratoire de Physique et Chimie de l'Environnement, CNRS – Université d'Orleans, Orleans, France
5DWD, Observatory Hohenpeissenberg, Germany
6Institut d'Aéronomie Spatiale de Belgique, Bruxelles, Belgique
7Physikalisches Institut, Universität Bonn, Bonn, Germany
8CETEMPS – Dipartimento di Fisica, Università de L'Aquila, L'aquila, Italy
9Service d'Aeronomie – Institut Pierre Simon Laplace/UVSQ, Verrieres-Le-Buisson, France
10Earth Observation and Atmospheric Science, Space Science and Technology Department, Rutherford Appleton Laboratory, Oxfordshire, UK
11National Institute for Public Health and the Environment, RIVM – LVM, Bilthoven, The Netherlands
12Istituto di Metodologie per l’Analisi Ambientale, Consiglio Nazionale delle Ricerche, Tito Scalo, Potenza, Italy
13Forschungszentrum Karlsruhe, IMK, Germany
Abstract. The Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) has been operating since March 2002 onboard of the ENVIronmental SATellite of the European Space Agency (ESA). The high resolution (0.035 cm−1) limb-emission measurements acquired by MIPAS in the first two years of operation have very good geographical and temporal coverage and have been re-processed by ESA with the most recent versions (4.61 and 4.62) of the inversion algorithms. The products of this processing chain are geolocated profiles of temperature and of the volume mixing ratios of six key atmospheric constituents: H2O, O3, HNO3, CH4, N2O and NO2. As for all the measurements made with innovative instruments and techniques, this data set requires a thorough validation. In this paper we present a geophysical validation of the temperature profiles derived from MIPAS measurements by the ESA retrieval algorithm. The validation is carried-out by comparing MIPAS temperature with correlative measurements made by radiosondes, lidars, in-situ and remote sensors operated either from the ground or stratospheric balloons.
The results of the intercomparison indicate that the bias of the MIPAS profiles is generally smaller than 1 or 2 K depending on altitude. Furthermore we find that, especially at the edges of the altitude range covered by the MIPAS scan, the random error estimated from the intercomparison is larger (typically by a factor of two to three) than the corresponding estimate derived on the basis of error propagation.
In this work we also characterize the discrepancies between MIPAS temperature and the temperature fields resulting from the analyses of the European Centre for Medium-range Weather Forecasts (ECMWF). The bias and the standard deviation of these discrepancies are consistent with those obtained when comparing MIPAS to correlative measurements; however, in this case the detected bias has a peculiar behavior as a function of altitude. This behavior is very similar to that observed in previous studies and is suspected to be due to a problem in the ECMWF temperature.