Comparison of Tropospheric Emission Spectrometer nadir water vapor retrievals with in situ measurements

[1] Comparisons of Tropospheric Emission Spectrometer (TES) water vapor retrievals with in situ measurements are presented. Global comparisons of TES water vapor retrievals with nighttime National Centers for Environmental Prediction RS90/RS92 radiosondes show a small (<5%) moist bias in TES retrievals in the lower troposphere (standard deviation of ∼20%), increasing to a maximum of ∼15% bias (with standard deviation reaching ∼40%) in the upper troposphere. This moist bias with respect to the sonde bias increases to a maximum of ∼15% in the upper troposphere between ∼300–200 hPa. The standard deviation in this region reaches values of ∼40%. It is important to note that the TES reported water vapor comparison statistics are not weighted by the water vapor layer amounts. Global TES/radiosonde results are comparable with the Atmospheric Infrared Sounder reported unweighted mean of 25% and root-mean-square of ∼55%. While such global comparisons help to identify general issues, inherent sampling errors and radiosonde measurement accuracy can limit the degree to which the radiosonde profiles alone can be used to validate satellite retrievals. In order to characterize the agreement of TES with in situ measurements in detail, radiance closure studies were performed using data from the Water Vapor Validation Experiment – Satellites/Sondes campaign from July 2006. Results indicate that estimated systematic errors from the forward model, TES measurements, in situ observations, retrieved temperature profiles, and clouds are likely not large enough to account for radiance differences between TES observations and forward model calculations using in situ profiles as input. Therefore, accurate validation of TES water vapor retrievals requires further campaigns with a larger variety of water vapor measurements that better characterize the atmospheric state within the TES field of view.

[1]  K. Bowman,et al.  Implementation of cloud retrievals for TES atmospheric retrievals: 2. Characterization of cloud top pressure and effective optical depth retrievals , 2008 .

[2]  David M. Rider,et al.  Tropospheric Emission Spectrometer nadir spectral radiance comparisons , 2008 .

[3]  W. Read,et al.  Validation of Aura Microwave Limb Sounder water vapor by balloon‐borne Cryogenic Frost point Hygrometer measurements , 2007 .

[4]  Laurence S. Rothman,et al.  Current updates of the water-vapor line list in HITRAN: A new “Diet” for air-broadened half-widths , 2007 .

[5]  Holger Vömel,et al.  Radiation Dry Bias of the Vaisala RS92 Humidity Sensor , 2007 .

[6]  H. Vömel,et al.  Accuracy of tropospheric and stratospheric water vapor measurements by the cryogenic frost point hygrometer: Instrumental details and observations , 2007 .

[7]  Kevin Bowman,et al.  Importance of rain evaporation and continental convection in the tropical water cycle , 2007, Nature.

[8]  K. Bowman,et al.  Implementation of cloud retrievals for Tropospheric Emission Spectrometer (TES) atmospheric retrievals: part 1. Description and characterization of errors on trace gas retrievals , 2006 .

[9]  L. Larrabee Strow,et al.  Validation of the Atmospheric Infrared Sounder radiative transfer algorithm , 2006 .

[10]  David N. Whiteman,et al.  Absolute accuracy of water vapor measurements from six operational radiosonde types launched during AWEX-G and implications for AIRS validation , 2006 .

[11]  Christopher D. Barnet,et al.  Validation of Atmospheric Infrared Sounder temperature and water vapor retrievals with matched radiosonde measurements and forecasts , 2006 .

[12]  Christopher D. Barnet,et al.  Analysis of Raman lidar and radiosonde measurements from the AWEX-G field campaign and its relation to Aqua validation , 2006 .

[13]  L. Larrabee Strow,et al.  Atmospheric Radiation Measurement site atmospheric state best estimates for Atmospheric Infrared Sounder temperature and water vapor retrieval validation , 2006 .

[14]  Kevin W. Bowman,et al.  Calculation of altitude-dependent tikhonov constraints for TES nadir retrievals , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[15]  Reinhard Beer,et al.  Overview of the EOS aura mission , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[16]  Reinhard Beer,et al.  Tropospheric emission spectrometer: retrieval method and error analysis , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[17]  Reinhard Beer,et al.  TES on the aura mission: scientific objectives, measurements, and analysis overview , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[18]  Reinhard Beer,et al.  Forward model and Jacobians for Tropospheric Emission Spectrometer retrievals , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[19]  Michael G. Bosilovich,et al.  Documentation and Validation of the Goddard Earth Observing System (GEOS) Data Assimilation System, Version 4 , 2005 .

[20]  Shepard A. Clough,et al.  Atmospheric radiative transfer modeling: a summary of the AER codes , 2005 .

[21]  Samuel J. Oltmans,et al.  Development and Validation of a Time-Lag Correction for Vaisala Radiosonde Humidity Measurements , 2004 .

[22]  Shepard A. Clough,et al.  Predicted errors of tropospheric emission spectrometer nadir retrievals from spectral window selection , 2004 .

[23]  Laurence S. Rothman,et al.  The HITRAN molecular spectroscopic database: edition of 2000 including updates through 2001 , 2003 .

[24]  Christopher D. Barnet,et al.  Retrieval of atmospheric and surface parameters from AIRS/AMSU/HSB data in the presence of clouds , 2003, IEEE Trans. Geosci. Remote. Sens..

[25]  S. Clough,et al.  Dry Bias and Variability in Vaisala RS80-H Radiosondes: The ARM Experience , 2003 .

[26]  David M. Rider,et al.  Tropospheric emission spectrometer for the Earth Observing System’s Aura satellite , 2001 .

[27]  Clive D Rodgers,et al.  Inverse Methods for Atmospheric Sounding: Theory and Practice , 2000 .

[28]  B. Connor,et al.  Intercomparison of remote sounding instruments , 1999 .

[29]  M. Iacono,et al.  Line-by-Line Calculations of Atmospheric Fluxes and Cooling Rates: Application to Water Vapor , 1992 .

[30]  William L. Smith,et al.  Atmospheric soundings from satellites—false expectation or the key to improved weather prediction? , 1991 .

[31]  V. Ramanathan,et al.  Observational determination of the greenhouse effect , 1989, Nature.