Neural networks approach to high vertical resolution atmospheric temperature profile retrieval from spaceborne high spectral resolution infrared sounder measurements

2006 ◽  
Author(s):  
Deming Jiang ◽  
Chaohua Dong ◽  
Weisong Lu
Keyword(s):  
Neural Networks ◽  
Temperature Profile ◽  
Spectral Resolution ◽  
Atmospheric Temperature ◽  
High Spectral Resolution ◽  
Vertical Resolution ◽  
Atmospheric Temperature Profile ◽  
High Vertical Resolution

scholarly journals Added-value of GEO-hyperspectral Infrared Radiances for Local Severe Storm Forecasts Using the Hybrid OSSE Method

2021 ◽  
Author(s):  
Pei Wang ◽  
Zhenglong Li ◽  
Jun Li ◽  
Timothy J. Schmit
Keyword(s):  
Spectral Resolution ◽  
Weather Prediction ◽  
Atmospheric Temperature ◽  
Added Value ◽  
High Spectral Resolution ◽  
Vertical Resolution ◽  
Severe Storm ◽  
Impact Studies ◽  
High Vertical Resolution ◽  
The Impact

AbstractHigh spectral resolution (or hyperspectral) infrared (IR) sounders onboard low earth orbiting satellites provide high vertical resolution atmospheric information for numerical weather prediction (NWP) models. In contrast, imagers on geostationary (GEO) satellites provide high temporal and spatial resolution which are important for monitoring the moisture associated with severe weather systems, such as rapidly developing local severe storms (LSS). A hyperspectral IR sounder onboard a geostationary satellite would provide four-dimensional atmospheric temperature, moisture, and wind profiles that have both high vertical resolution and high temporal/spatial resolutions. In this work, the added-value from a GEO-hyperspectral IR sounder is studied and discussed using a hybrid Observing System Simulation Experiment (OSSE) method. A hybrid OSSE is distinctively different from the traditional OSSE in that, (a) only future sensors are simulated from the nature run and (b) the forecasts can be evaluated using real observations. This avoids simulating the complicated observation characteristics of the current systems (but not the new proposed system) and allows the impact to be assessed against real observations. The Cross-track Infrared Sounder (CrIS) full spectral resolution (FSR) is assumed to be onboard a GEO for the impact studies, and the GEO CrIS radiances are simulated from the ECMWF Reanalysis v5 (ERA5) with the hyperspectral IR all-sky radiative transfer model (HIRTM). The simulated GEO CrIS radiances are validated and the hybrid OSSE system is verified before the impact assessment. Two LSS cases from 2018 and 2019 are selected to evaluate the value-added impacts from the GEO CrIS-FSR data. The impact studies show improved atmospheric temperature, moisture, and precipitation forecasts, along with some improvements in the wind forecasts. An added-value, consisting of an overall 5% Root Mean Square Error (RMSE) reduction, was found when a GEO CrIS-FSR is used in replacement of LEO ones indicating the potential for applications of data from a GEO hyperspectral IR sounder to improve local severe storm forecasts.

scholarly journals Advances in atmospheric temperature profile measurements using high spectral resolution lidar

2018 ◽  
Vol 176 ◽  
pp. 01023
Author(s):  
Ilya I. Razenkov ◽  
Edwin W. Eloranta
Keyword(s):  
Temperature Profile ◽  
Spectral Resolution ◽  
Atmospheric Temperature ◽  
High Spectral Resolution ◽  
Absolute Calibration ◽  
Temperature Sensitive ◽  
Backscatter Coefficient ◽  
Rayleigh Backscattering ◽  
Atmospheric Temperature Profile ◽  
High Spectral Resolution Lidar

This paper reports the atmospheric temperature profile measurements using a University of Wisconsin-Madison High Spectral Resolution Lidar (HSRL) and describes improvements in the instrument performance. HSRL discriminates between Mie and Rayleigh backscattering [1]. Thermal motion of molecules broadens the spectrum of the transmitted laser light due to Doppler effect. The HSRL exploits this property to allow the absolute calibration of the lidar and measurements of the aerosol volume backscatter coefficient. Two iodine absorption filters with different line widths are used to resolve temperature sensitive changes in Rayleigh backscattering for atmospheric temperature profile measurements.

scholarly journals High spectral resolution lidar at the university of wisconsin-madison

2018 ◽  
Vol 176 ◽  
pp. 01024
Author(s):  
Ilya I. Razenkov ◽  
Edwin W. Eloranta
Keyword(s):  
Spectral Resolution ◽  
Atmospheric Temperature ◽  
High Spectral Resolution ◽  
Science And Engineering ◽  
Extinction Cross Section ◽  
University Of Wisconsin ◽  
Atmospheric Temperature Profile ◽  
Field Campaigns ◽  
The University ◽  
High Spectral Resolution Lidar

This paper describes the modifications done on the University of Wisconsin-Madison High Spectral Resolution Lidar (HSRL) that improved the instrument’s performance. The University of Wisconsin HSRL lidars designed by our group at the Space Science and Engineering Center were deployed in numerous field campaigns in various locations around the world. Over the years the instruments have undergone multiple modifications that improved the performance and added new measurement capabilities such as atmospheric temperature profile and extinction cross-section measurements.

Rayleigh-Raman lidar used for atmospheric temperature profile measurement

2010 ◽  
Vol 22 (7) ◽  
pp. 1449-1452
Author(s):  
卜令兵 Bu Lingbing ◽  
郭劲秋 Guo Jinqiu ◽  
田力 Tian Li ◽  
黄兴友 Huang Xingyou ◽  
刘博 Liu Bo ◽  
...  
Keyword(s):  
Temperature Profile ◽  
Atmospheric Temperature ◽  
Profile Measurement ◽  
Raman Lidar ◽  
Atmospheric Temperature Profile
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