8 research outputs found
Comparison of Tropospheric Ozone Columns Calculated from MLS, OMI, and Ozonesonde Data
This poster shows a comparison of three derived tropospheric ozone residual (TOR) products with integrated tropospheric ozone columns from ozonesonde profile: (1) the method of Ziemke et al. (2006), (2) a modified version of Fishman et al. (2003), and (3) a trajectory mapping approach. In each case, MLS ozone profiles are integrated to the tropopause and subtracted from OMI (TOMS retrieval) total column ozone. The effectiveness of each of these techniques is examined as a function of latitude, time, and geographic region. In general, we find good agreement between the derived products and the ozonesondes, with the Fishman et al. TOR (labeled “Amy”) generally high and the Schoeberl trajectory mapping (labeled “Mark”) product generally low as compared to the integrated ozonesonde profiles (labeled “Sonde”) as computed using the WMO tropopause definition. Differences in TOR results are due, at least in part, to non-uniform tropopause height definitions between the three approaches
Editorial Note – Special Issue on “Earth Observation Science and Excellence for Arctic and Northern Monitoring and Applications”
The Atmospheric Composition Validation and Evolution Workshop (ACVE2013) - Recommendations
During the last 18 years, the European Space Agency (ESA) has provided the scientific community with a large amount of valuable atmospheric composition data produced by a series of instruments, starting with GOME [Burrows et al., 1999], on-board the ERS-2 satellite (1995-2011), and followed by the GOMOS [Kyrola et al., 2004], MIPAS [Fischer et al., 2008], and the SCIAMACHY [Bovensmann et al., 1999], all flying on-board the Envisat satellite (2002-2012). These observations will be continued by the Sentinel-5 Precursor, Sentinel-4 and Sentinel-5 and extended the EarthCARE and ADM missions for aerosols and clouds. […
A Spectral Unmixing Model for the Integration of Multi-Sensor Imagery: A Tool to Generate Consistent Time Series Data
The Sentinel missions have been designed to support the operational services of the Copernicus program, ensuring long-term availability of data for a wide range of spectral, spatial and temporal resolutions. In particular, Sentinel-2 (S-2) data with improved high spatial resolution and higher revisit frequency (five days with the pair of satellites in operation) will play a fundamental role in recording land cover types and monitoring land cover changes at regular intervals. Nevertheless, cloud coverage usually hinders the time series availability and consequently the continuous land surface monitoring. In an attempt to alleviate this limitation, the synergistic use of instruments with different features is investigated, aiming at the future synergy of the S-2 MultiSpectral Instrument (MSI) and Sentinel-3 (S-3) Ocean and Land Colour Instrument (OLCI). To that end, an unmixing model is proposed with the intention of integrating the benefits of the two Sentinel missions, when both in orbit, in one composite image. The main goal is to fill the data gaps in the S-2 record, based on the more frequent information of the S-3 time series. The proposed fusion model has been applied on MODIS (MOD09GA L2G) and SPOT4 (Take 5) data and the experimental results have demonstrated that the approach has high potential. However, the different acquisition characteristics of the sensors, i.e. illumination and viewing geometry, should be taken into consideration and bidirectional effects correction has to be performed in order to reduce noise in the reflectance time series
A fiducial reference site for satellite altimetry in Crete, Greece
Summarization: With the advent of diverse satellite altimeters and variant measuring techniques, it has become mature in the scientific community, that an absolute reference Cal/Val site is regularly maintained to define, monitor, control the responses of any altimetric system. This work sets the ground for the establishment of a Fiducial Reference Site for ESA satellite altimetry in Gavdos and West Crete, Greece. It will consistently and reliably determine (a) absolute altimeter biases and their drifts; (b) relative bias among diverse missions; but also (c) continuously and independently connect different missions, on a common and reliable reference and also to SI-traceable measurements. Results from this fiducial reference site will be based on historic Cal/Val site measurement records, and will be the yardstick for building up capacity for monitoring climate change. This will be achieved by defining and assessing any satellite altimeter measurements to known, controlled and absolute reference signals with different techniques, processes and instrumentation.Presented on
Initial validation of ozone measurements from the High Resolution Dynamics Limb Sounder
Comparisons of the latest High Resolution Dynamics Limb Sounder (HIRDLS) ozone retrievals (v2.04.09) are made with ozonesondes, ground-based lidars, airborne lidar measurements made during the Intercontinental Chemical Transport Experiment–B, and satellite observations. A large visual obstruction blocking over 80% of the HIRDLS field of view presents significant challenges to the data analysis methods and implementation, to the extent that the radiative properties of the obstruction must be accurately characterized in order to adequately correct measured radiances. The radiance correction algorithms updated as of August 2007 are used in the HIRDLS v2.04.09 data presented here. Comparisons indicate that HIRDLS ozone is recoverable between 1 and 100 hPa at middle and high latitudes and between 1 and 50 hPa at low latitudes. Accuracy of better than 10% is indicated between 1 and 30 hPa (HIRDLS generally low) by the majority of the comparisons with coincident measurements, and 5% is indicated between 2 and 10 hPa when compared with some lidars. Between 50 and 100 hPa, at middle and high latitudes, accuracy is 10–20%. The ozone precision is estimated to be generally 5–10% between 1 and 50 hPa. Comparisons with ozonesondes and lidars give strong indication that HIRDLS is capable of resolving fine vertical ozone features (1–2 km) in the region between 1 and 50 hPa. Development is continuing on the radiance correction and the cloud detection and filtering algorithms, and it is hoped that it will be possible to achieve a further reduction in the systematic bias and an increase in the measurement range downward to lower heights (at pressures greater than 50–100 hPa)
Initial validation of ozone measurements from the High Resolution Dynamics Limb Sounder
Comparisons of the latest High Resolution Dynamics Limb Sounder (HIRDLS) ozone
retrievals (v2.04.09) are made with ozonesondes, ground-based lidars, airborne lidar
measurements made during the Intercontinental Chemical Transport Experiment–B,
and satellite observations. A large visual obstruction blocking over 80% of the HIRDLS
field of view presents significant challenges to the data analysis methods and
implementation, to the extent that the radiative properties of the obstruction must be
accurately characterized in order to adequately correct measured radiances. The radiance
correction algorithms updated as of August 2007 are used in the HIRDLS v2.04.09
data presented here. Comparisons indicate that HIRDLS ozone is recoverable between
1 and 100 hPa at middle and high latitudes and between 1 and 50 hPa at low
latitudes. Accuracy of better than 10% is indicated between 1 and 30 hPa (HIRDLS
generally low) by the majority of the comparisons with coincident measurements, and
5% is indicated between 2 and 10 hPa when compared with some lidars. Between 50 and
100 hPa, at middle and high latitudes, accuracy is 10–20%. The ozone precision is
estimated to be generally 5–10% between 1 and 50 hPa. Comparisons with
ozonesondes and lidars give strong indication that HIRDLS is capable of resolving fine
vertical ozone features (1–2 km) in the region between 1 and 50 hPa. Development is
continuing on the radiance correction and the cloud detection and filtering algorithms,
and it is hoped that it will be possible to achieve a further reduction in the systematic bias
and an increase in the measurement range downward to lower heights
(at pressures greater than 50–100 hPa).Las comparaciones de las últimas recuperaciones de ozono de High Resolution Dynamics Limb Sounder (HIRDLS) (v2.04.09) se realizan con ozonosondas, lidar terrestres, mediciones lidar aerotransportadas realizadas durante el Experimento B de transporte químico intercontinental y observaciones satelitales. Una gran obstrucción visual que bloquea más del 80 % del campo de visión de HIRDLS presenta desafíos significativos para los métodos de análisis de datos y su implementación, en la medida en que las propiedades radiativas de la obstrucción deben caracterizarse con precisión para corregir adecuadamente las radiancias medidas. Los algoritmos de corrección de radiancia actualizados en agosto de 2007 se utilizan en los datos de HIRDLS v2.04.09 presentados aquí. Las comparaciones indican que el ozono HIRDLS es recuperable entre 1 y 100 hPa en latitudes medias y altas y entre 1 y 50 hPa en latitudes bajas. Se indica una precisión superior al 10 % entre 1 y 30 hPa (HIRDLS generalmente bajo) en la mayoría de las comparaciones con mediciones coincidentes, y se indica un 5 % entre 2 y 10 hPa cuando se compara con algunos lidars. Entre 50 y 100 hPa, en latitudes medias y altas, la precisión es del 10 al 20 %. Se estima que la precisión del ozono es generalmente del 5 al 10 % entre 1 y 50 hPa. Las comparaciones con ozonosondas y lidar dan una fuerte indicación de que HIRDLS es capaz de resolver características finas de ozono vertical (1–2 km) en la región entre 1 y 50 hPa. Se continúa desarrollando la corrección de radiancia y los algoritmos de filtrado y detección de nubes, y se espera que sea posible lograr una mayor reducción en el sesgo sistemático y un aumento en el rango de medición hacia abajo a alturas más bajas (a presiones superiores a 50 –100hPa).Universidad Nacional, Costa RicaEscuela de Químic