P. Dauphin - Academia.edu (original) (raw)

Papers by P. Dauphin

Research paper thumbnail of Combining gprof and event-driven monitoring for analyzing distributed programs: a rough view of NCSA mosaic

Journal of Computer Science and Technology, 1996

Research paper thumbnail of Observing system simulation experiments to evaluate the impact of remotely sensed data on hurricane track and intensity prediction

Imaging Spectrometry XVIII, 2013

Observing System Simulation Experiments (OSSEs) are an important tool for evaluating the potentia... more Observing System Simulation Experiments (OSSEs) are an important tool for evaluating the potential impact of proposed new observing systems, as well as for evaluating trade-offs in observing system design, and in developing and assessing improved methodology for assimilating new observations. Detailed OSSEs have been conducted at NASA/ GSFC and NOAA/AOML in collaboration with Simpson Weather Associates and operational data assimilation centers over the last three decades. These OSSEs determined correctly the quantitative potential for several proposed satellite observing systems to improve weather analysis and prediction prior to their launch, evaluated trade-offs in orbits, coverage and accuracy for space-based wind lidars, and were used in the development of the methodology that led to the first beneficial impacts of satellite surface winds on numerical weather prediction. In this paper, we summarize early applications of global OSSEs to hurricane track forecasting and new experiments, using both global and regional models, that are aimed at both track and intensity forecasting.

Research paper thumbnail of Performance assessment of future thermal infrared geostationary instruments to monitor air quality

ABSTRACT Air quality (AQ) has a recognized onerous impact on human health and the environment, an... more ABSTRACT Air quality (AQ) has a recognized onerous impact on human health and the environment, and then on society. It is more and more clear that constantly and efficiently monitoring AQ from space is a valuable step forward towards a more thorough comprehension of pollution processes that can have a relevant impact on the biosphere. In recent years, important progresses in this field have been made, e.g., reliable observations of several pollutants have been obtained, proving the feasibility of monitoring atmospheric composition from space. In this sense, low Earth orbit (LEO) thermal infrared (TIR) space-borne instruments are widely regarded as a useful tool to observe targeted AQ parameters like tropospheric ozone concentrations [1]. However, limitations remain with the current observation systems in particular to observe ozone in the lowermost troposphere (LmT) with a spatial and temporal resolution relevant for monitoring pollution processes at the regional scale. Indeed, LEO instruments are not well adapted to monitor small scale and short term phenomena, owing to their unsatisfactory revisit time. From this point of view, a more satisfactory concept might be based on geostationary (GEO) platforms. Current and planned GEO missions are mainly tailored on meteorological parameters retrieval and do not have sufficient spectral resolutions and signal to noise ratios (SNR) to infer information on trace gases in the LmT. New satellite missions are currently proposed that can partly overcome these limitations. Here we present a group of simulation exercises and sensitivity analyses to set-up future TIR GEO missions adapted to monitor and forecast AQ over Europe, and to evaluate their technical requirements. At this aim, we have developed a general simulator to produce pseudo-observations for different platform/instrument configurations. The core of this simulator is the KOPRA radiative transfer model, including the KOPRAfit inversion module [2]. Note that to assess the impact of the different instruments on the analyses and forecasts of AQ by means of models, our simulator can be coupled with the chemistry and transport model CHIMERE to conduct observing system simulation experiments (OSSEs). Using our simulator, we have produced pseudo-observations for targeted sensors including some potential and planned future GEO instruments like MTG-IRS and MAGEAQ. In order to achieve the best performances that can be obtained from TIR instruments, we applied an altitude-dependent Tikhonov-Philips retrieval algorithm optimized to maximize the information retrieved from the lower troposphere. This algorithm has already demonstrated powerful performances to retrieve lower tropospheric ozone and to detect pollution events [1]. Finally, a detailed analysis of the pseudo-observations has allowed quantifying the added-value brought by the MAGEAQ TIR instrument to resolve LmT geographical patterns and temporal trends of ozone. The results are critically discussed.

Research paper thumbnail of Performance analyses of future space-borne infrared instruments to monitor air quality

Air quality (AQ) monitoring from space is a topical task in modern geosciences. Presently, differ... more Air quality (AQ) monitoring from space is a topical task in modern geosciences. Presently, different thermal infrared (TIR) sensors flying at low earth orbit (LEO) have demonstrated their capabilities in detecting relevant trace gases concentration, eg the ozone, with a good sensitivity in ...

Research paper thumbnail of Potential of the future thermal infrared space-borne sensor IASI-NG to monitor lower tropospheric ozone

To evaluate the added value brought by the next generation of IASI (Infrared Atmospheric Sounder ... more To evaluate the added value brought by the next generation of IASI (Infrared Atmospheric Sounder Interferometer) instruments to monitor lower tropospheric (LT) ozone, we developed a pseudo-observation simulator, including a direct simulator of thermal infrared spectra and a full inversion scheme to retrieve ozone concentration profiles. We based our simulations on the instrumental configuration of IASI and of an IASI-like instrument, with a factor 2 improvement in terms of spectral resolution and radiometric noise. This scenario, that will be referred to as IASI/2, is one possible configuration of the IASI-NG (New Generation) instrument (the configuration called IASI-NG/IRS2) currently designed by CNES (Centre National d'Études Spatiales). IASI-NG is expected to be launched in the 2020 timeframe as part of the EPS-SG (EUMETSAT Polar System-Second Generation, formerly post-EPS) mission. We produced one month (August 2009) of tropospheric ozone pseudo-observations based on these two instrumental configurations. We compared the pseudo-observations and we found a clear improvement of LT ozone (up to 6 km altitude) pseudo-observations quality for IASI/2. The estimated total error is expected to be more than 35 % smaller at 5 km, and 20 % smaller for the LT ozone column. The total error on the LT ozone column is, on average, lower than 10 % for IASI/2. IASI/2 is expected to have a significantly better vertical sensitivity (monthly average degrees of freedom surface-6 km of 0.70) and to be sensitive at lower altitudes (more than 0.5 km lower than IASI, reaching nearly 3 km). Vertical ozone layers of 4 to 5 km thickness are expected to be resolved by IASI/2, while IASI has a vertical resolution of 6-8 km. According to our analyses, IASI/2 is expected to have the possibility of effectively separate lower from upper tropospheric ozone information even for low sensitivity scenarios. In addition, IASI/2 is expected to be able to better monitor LT ozone patterns at local spatial scale and to monitor abrupt temporal evolutions occurring at timescales of a few days, thus bringing an expected added value with respect to IASI for the monitoring of air quality.

Research paper thumbnail of Combining gprof and event-driven monitoring for analyzing distributed programs: a rough view of NCSA mosaic

Journal of Computer Science and Technology, 1996

Research paper thumbnail of Observing system simulation experiments to evaluate the impact of remotely sensed data on hurricane track and intensity prediction

Imaging Spectrometry XVIII, 2013

Observing System Simulation Experiments (OSSEs) are an important tool for evaluating the potentia... more Observing System Simulation Experiments (OSSEs) are an important tool for evaluating the potential impact of proposed new observing systems, as well as for evaluating trade-offs in observing system design, and in developing and assessing improved methodology for assimilating new observations. Detailed OSSEs have been conducted at NASA/ GSFC and NOAA/AOML in collaboration with Simpson Weather Associates and operational data assimilation centers over the last three decades. These OSSEs determined correctly the quantitative potential for several proposed satellite observing systems to improve weather analysis and prediction prior to their launch, evaluated trade-offs in orbits, coverage and accuracy for space-based wind lidars, and were used in the development of the methodology that led to the first beneficial impacts of satellite surface winds on numerical weather prediction. In this paper, we summarize early applications of global OSSEs to hurricane track forecasting and new experiments, using both global and regional models, that are aimed at both track and intensity forecasting.

Research paper thumbnail of Performance assessment of future thermal infrared geostationary instruments to monitor air quality

ABSTRACT Air quality (AQ) has a recognized onerous impact on human health and the environment, an... more ABSTRACT Air quality (AQ) has a recognized onerous impact on human health and the environment, and then on society. It is more and more clear that constantly and efficiently monitoring AQ from space is a valuable step forward towards a more thorough comprehension of pollution processes that can have a relevant impact on the biosphere. In recent years, important progresses in this field have been made, e.g., reliable observations of several pollutants have been obtained, proving the feasibility of monitoring atmospheric composition from space. In this sense, low Earth orbit (LEO) thermal infrared (TIR) space-borne instruments are widely regarded as a useful tool to observe targeted AQ parameters like tropospheric ozone concentrations [1]. However, limitations remain with the current observation systems in particular to observe ozone in the lowermost troposphere (LmT) with a spatial and temporal resolution relevant for monitoring pollution processes at the regional scale. Indeed, LEO instruments are not well adapted to monitor small scale and short term phenomena, owing to their unsatisfactory revisit time. From this point of view, a more satisfactory concept might be based on geostationary (GEO) platforms. Current and planned GEO missions are mainly tailored on meteorological parameters retrieval and do not have sufficient spectral resolutions and signal to noise ratios (SNR) to infer information on trace gases in the LmT. New satellite missions are currently proposed that can partly overcome these limitations. Here we present a group of simulation exercises and sensitivity analyses to set-up future TIR GEO missions adapted to monitor and forecast AQ over Europe, and to evaluate their technical requirements. At this aim, we have developed a general simulator to produce pseudo-observations for different platform/instrument configurations. The core of this simulator is the KOPRA radiative transfer model, including the KOPRAfit inversion module [2]. Note that to assess the impact of the different instruments on the analyses and forecasts of AQ by means of models, our simulator can be coupled with the chemistry and transport model CHIMERE to conduct observing system simulation experiments (OSSEs). Using our simulator, we have produced pseudo-observations for targeted sensors including some potential and planned future GEO instruments like MTG-IRS and MAGEAQ. In order to achieve the best performances that can be obtained from TIR instruments, we applied an altitude-dependent Tikhonov-Philips retrieval algorithm optimized to maximize the information retrieved from the lower troposphere. This algorithm has already demonstrated powerful performances to retrieve lower tropospheric ozone and to detect pollution events [1]. Finally, a detailed analysis of the pseudo-observations has allowed quantifying the added-value brought by the MAGEAQ TIR instrument to resolve LmT geographical patterns and temporal trends of ozone. The results are critically discussed.

Research paper thumbnail of Performance analyses of future space-borne infrared instruments to monitor air quality

Air quality (AQ) monitoring from space is a topical task in modern geosciences. Presently, differ... more Air quality (AQ) monitoring from space is a topical task in modern geosciences. Presently, different thermal infrared (TIR) sensors flying at low earth orbit (LEO) have demonstrated their capabilities in detecting relevant trace gases concentration, eg the ozone, with a good sensitivity in ...

Research paper thumbnail of Potential of the future thermal infrared space-borne sensor IASI-NG to monitor lower tropospheric ozone

To evaluate the added value brought by the next generation of IASI (Infrared Atmospheric Sounder ... more To evaluate the added value brought by the next generation of IASI (Infrared Atmospheric Sounder Interferometer) instruments to monitor lower tropospheric (LT) ozone, we developed a pseudo-observation simulator, including a direct simulator of thermal infrared spectra and a full inversion scheme to retrieve ozone concentration profiles. We based our simulations on the instrumental configuration of IASI and of an IASI-like instrument, with a factor 2 improvement in terms of spectral resolution and radiometric noise. This scenario, that will be referred to as IASI/2, is one possible configuration of the IASI-NG (New Generation) instrument (the configuration called IASI-NG/IRS2) currently designed by CNES (Centre National d'Études Spatiales). IASI-NG is expected to be launched in the 2020 timeframe as part of the EPS-SG (EUMETSAT Polar System-Second Generation, formerly post-EPS) mission. We produced one month (August 2009) of tropospheric ozone pseudo-observations based on these two instrumental configurations. We compared the pseudo-observations and we found a clear improvement of LT ozone (up to 6 km altitude) pseudo-observations quality for IASI/2. The estimated total error is expected to be more than 35 % smaller at 5 km, and 20 % smaller for the LT ozone column. The total error on the LT ozone column is, on average, lower than 10 % for IASI/2. IASI/2 is expected to have a significantly better vertical sensitivity (monthly average degrees of freedom surface-6 km of 0.70) and to be sensitive at lower altitudes (more than 0.5 km lower than IASI, reaching nearly 3 km). Vertical ozone layers of 4 to 5 km thickness are expected to be resolved by IASI/2, while IASI has a vertical resolution of 6-8 km. According to our analyses, IASI/2 is expected to have the possibility of effectively separate lower from upper tropospheric ozone information even for low sensitivity scenarios. In addition, IASI/2 is expected to be able to better monitor LT ozone patterns at local spatial scale and to monitor abrupt temporal evolutions occurring at timescales of a few days, thus bringing an expected added value with respect to IASI for the monitoring of air quality.