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44
The QME AERI LBLRTM: A closure experiment for downwelling high spectral resolution infrared radiance
- J. Atmos. Sci
, 2004
"... ABSTRACT Research funded by the U.S. Department of Energy's Atmospheric Radiation Measurement (ARM) program has led to significant improvements in longwave radiative transfer modeling over the last decade. These improvements, which have generally come in small incremental changes, were made pr ..."
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ABSTRACT Research funded by the U.S. Department of Energy's Atmospheric Radiation Measurement (ARM) program has led to significant improvements in longwave radiative transfer modeling over the last decade. These improvements, which have generally come in small incremental changes, were made primarily in the water vapor self-and foreign-broadened continuum and the water vapor absorption line parameters. These changes, when taken as a whole, result in up to a 6 W m Ϫ2 improvement in the modeled clear-sky downwelling longwave radiative flux at the surface and significantly better agreement with spectral observations. This paper provides an overview of the history of ARM with regard to clear-sky longwave radiative transfer, and analyzes remaining related uncertainties in the ARM state-of-the-art Line-by-Line Radiative Transfer Model (LBLRTM). A quality measurement experiment (QME) for the downwelling infrared radiance at the ARM Southern Great Plains site has been ongoing since 1994. This experiment has three objectives: 1) to validate and improve the absorption models and spectral line parameters used in line-by-line radiative transfer models, 2) to assess the ability to define the atmospheric state, and 3) to assess the quality of the radiance observations that serve as ground truth for the model. Analysis of data from 1994 to 1997 made significant contributions to optimizing the QME, but is limited by small but significant uncertainties and deficiencies in the atmospheric state and radiance observations. This paper concentrates on the analysis of QME data from 1998 to 2001, wherein the data have been carefully selected to address the uncertainties in the 1994-97 dataset. Analysis of this newer dataset suggests that the representation of self-broadened water vapor continuum absorption is 3%-8% too strong in the 750-1000 cm Ϫ1 region. The dataset also provides information on the accuracy of the self-and foreignbroadened continuum absorption in the 1100-1300 cm Ϫ1 region. After accounting for these changes, remaining differences in modeled and observed downwelling clear-sky fluxes are less than 1.5 W m Ϫ2 over a wide range of atmospheric states.
Radiosonde humidity soundings and microwave radiometers during Nauru99
- J. Atmos. Oceanic Technol
, 2003
"... During June–July 1999, the NOAA R/V Ron H. Brown (RHB) sailed from Australia to the Republic of Nauru where the Department of Energy’s Atmospheric Radiation Measurement (ARM) Program operates a long-term climate observing station. During July, when the RHB was in close proximity to the island of Nau ..."
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During June–July 1999, the NOAA R/V Ron H. Brown (RHB) sailed from Australia to the Republic of Nauru where the Department of Energy’s Atmospheric Radiation Measurement (ARM) Program operates a long-term climate observing station. During July, when the RHB was in close proximity to the island of Nauru, detailed comparisons of ship- and island-based instruments were possible. Essentially identical instruments were operated from the ship and the island’s Atmospheric Radiation and Cloud Station (ARCS)-2. These instruments included simultaneously launched Vaisala RS80-H radiosondes, the Environmental Technology Laboratory’s (ETL) Fourier transform infrared radiometer (FTIR), and ARM’s atmospheric emitted radiance interferometer (AERI), as well as cloud radars/ceilometers to identify clear conditions. The ARM microwave radiometer (MWR) operating on Nauru provided another excellent dataset for the entire Nauru99 experiment. The calibration accuracy was verified by a liquid nitrogen blackbody target experiment and by consistent high quality tipping calibrations throughout the experiment. Comparisons were made for calculated clear-sky brightness temperature (Tb) and for precipitable water vapor (PWV). These results indicate that substantial errors, sometimes of the order of 20 % in PWV, occurred with the original radiosondes. When a Vaisala correction algorithm was applied, calculated Tbs were in better agreement with the MWR than were
Determination of precipitable water and cloud liquid water over oceans from
- the NOAA 15 Advanced Microwave Sounding Unit,” J. Geophys. Res.,
, 2001
"... Abstract. The advanced microwave sounding unit (AMSU) was finally launched in May 1998 aboard the NOAA 15 satellite. Algorithms are provided for retrieving the total precipitable water (TPW) and cloud liquid water (CLW) over oceans using the AMSU measurements at 23.8 and 31.4 GHz. Extensive compari ..."
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Abstract. The advanced microwave sounding unit (AMSU) was finally launched in May 1998 aboard the NOAA 15 satellite. Algorithms are provided for retrieving the total precipitable water (TPW) and cloud liquid water (CLW) over oceans using the AMSU measurements at 23.8 and 31.4 GHz. Extensive comparisons are made between the AMSU retrievals of CLW and TPW and those obtained using other satellite instruments (Special Sensor Microwave Imager (SSM/I) and Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI)) and ground-based radiometers. The AMSU TPW is also compared against radiosonde data, where all of the results are in good agreement with rms differences less than 3 mm and biases less than 1 mm over the range between 5 and 60 mm. The CLW comparisons show greater variability, although the time series of the AMSU and ground-based sensors follow each other and cover the same dynamic range of 0 -0.5 mm. The AMSU CLW also compares well with the other satellite measurements, although a bias exists between AMSU and TMI when the CLW exceeds 0.5 mm.
Molecular Line Parameters for the “MASTER” (Millimeter Wave Acquisitions for Stratosphere/Troposphere Exchange Research) Database
- J Atmos Chem
, 2005
"... Abstract. In order to investigate the upper troposphere/lower stratosphere (UTLS) region of the earth’s atmosphere, ESA/ESTEC (European space agency) is considering the opportunity to de-velop the spaceborne limb sounding millimeter sensor “MASTER ” (millimeter wave acquisitions for stratosphere/tro ..."
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Abstract. In order to investigate the upper troposphere/lower stratosphere (UTLS) region of the earth’s atmosphere, ESA/ESTEC (European space agency) is considering the opportunity to de-velop the spaceborne limb sounding millimeter sensor “MASTER ” (millimeter wave acquisitions for stratosphere/troposphere exchange research). This instrument is part of the “atmospheric composition explorer for chemistry and climate interactions ” (ACECHEM) project. In addition, ESA/ESTEC is developing the “MARSCHALS ” (millimeter-wave airborne receiver for spectroscopic characteriza-tion of atmospheric limb sounding) airborne instrument which will demonstrate the feasibility of MASTER. The present paper describes the line-by-line database which was generated in order to meet at best the needs of the MASTER (or MARSCHALS) instrument. The linelist involves line positions, line intensities, line broadening and line shift parameters in the 294–305, 316–325, 342– 348, 497–506 and 624–626 GHz spectral microwindows. This database was first generated for the
Validating clear air absorption models using ground-based microwave radiometers and vice-versa,”
- Meteorol. Zeitschrift,
, 2006
"... Abstract Microwave radiometer observations are compared with various radiative transfer model calculations based on simultaneous radiosondes. This analysis uses observations from Payerne, Switzerland, in cloud free conditions during the Temperature Humidity and Cloud (TUC) experiment in winter 2003 ..."
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Abstract Microwave radiometer observations are compared with various radiative transfer model calculations based on simultaneous radiosondes. This analysis uses observations from Payerne, Switzerland, in cloud free conditions during the Temperature Humidity and Cloud (TUC) experiment in winter 2003/04. The results show a systematic bias in the brightness temperatures measured by the Radiometrics profiler at 55-59 GHz, which has since been corrected in the control software. Observations at lower frequencies (22-30 GHz) in these cold conditions do not support recent proposed changes to the width of the 22.235 GHz water vapour line, although this is subject to the assumption of no residual bias in the radiosonde humidity. At intermediate frequencies (51)(52)(53)(54), the absorption models produce large differences, which may be due to differences in oxygen line coupling and highlight the need for further laboratory measurements at low temperatures. Zusammenfassung
Groundbased Scanning Radiometer Measurements during the Water Vapor IOP 2004: a valuable new data set for the study of the Arctic atmosphere
- In Proceedings of the Fifteenth ARM Science Team Meeting, March 14-18, Daytona Beach
, 2005
"... The importance of accurate measurements of column amounts of water vapor and cloud liquid has been well documented (Clough et al. 1999). Although several technologies have been investigated to measure these column amounts, microwave radiometers (MWRs) have been used operationally by the ..."
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The importance of accurate measurements of column amounts of water vapor and cloud liquid has been well documented (Clough et al. 1999). Although several technologies have been investigated to measure these column amounts, microwave radiometers (MWRs) have been used operationally by the
A.: Air-broadened half-widths of the 22- and 183-GHz water-vapor lines
- IEEE Trans. Geosci. Rem. Sens
, 2008
"... water-vapor lines and associated uncertainties have been de-termined using comparisons between ground-based radiometric measurements from Atmospheric Radiation Measurement sites in Oklahoma and Alaska, and MonoRTM, a radiative transfer model. Values of the widths obtained using the measurements are ..."
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water-vapor lines and associated uncertainties have been de-termined using comparisons between ground-based radiometric measurements from Atmospheric Radiation Measurement sites in Oklahoma and Alaska, and MonoRTM, a radiative transfer model. Values of the widths obtained using the measurements are 0.0900 cm−1/atm with 1.6 % uncertainty for the 22-GHz line and 0.0992 cm−1/atm with 2.4 % uncertainty for the 183-GHz line. Also presented are spectroscopic parameters for these lines from new calculations performed using the complex implemen-tation of the Robert–Bonamy theory (CRB). The CRB values of the air-broadened widths are 0.0913 cm−1/atm with 3 % uncer-tainty and a temperature exponent of 0.755 for the 22-GHz line and 0.0997 cm−1/atm with 3 % uncertainty and a temperature exponent of 0.769 for the 183-GHz line. The values for the air-broadened half-widths derived from the measurement/model comparisons show good agreement with the new CRB calculations. For future versions of MonoRTM, width values of 0.0900 and 0.0997 cm−1/atm are to be adopted with temperature depen-dences of 0.76 and 0.77 for the 22- and 183-GHz lines, respectively. Index Terms—Microwave radiometry, satellite applications, water-vapor absorption, water-vapor retrieval. I.
1D-VAR retrievals of temperature and humidity profiles from a ground-based microwave radiometer
- IEEE Transactions on Geoscience and Remote Sensing
, 2007
"... Abstract—A variational method to retrieve profiles of temper-ature, humidity, and cloud is described, which combines obser-vations from a 12-channel microwave radiometer, an infrared radiometer, and surface sensors with background from short-range numerical weather prediction (NWP) forecasts in an o ..."
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Abstract—A variational method to retrieve profiles of temper-ature, humidity, and cloud is described, which combines obser-vations from a 12-channel microwave radiometer, an infrared radiometer, and surface sensors with background from short-range numerical weather prediction (NWP) forecasts in an opti-mal way, accounting for their error characteristics. An analysis is presented of the error budget of the background and obser-vations, including radiometric, modeling, and representativeness errors. Observation errors of some moisture channels are found to be dominated by representativeness, due to their sensitivity to atmospheric variability on smaller scales than the NWP model grid, whereas channels providing information on temperature in the lowest 1 km are dominated by instrument noise. Profiles of temperature and a novel total water control variable are retrieved from synthetic data using Newtonian iteration. An error analysis shows that these are expected to improve mesoscale NWP, retriev-ing temperature and humidity profiles up to 4 km with uncertain-ties of < 1 K and < 40 % and 2.8 and 1.8 degrees of freedom for signal, respectively, albeit with poor vertical resolution. A cloud classification scheme is introduced to address convergence prob-lems and better constrain the retrievals. This Bayesian retrieval method can be extended to incorporate observations from other instruments to form a basis for future integrated profiling systems. Index Terms—Atmospheric measurements, microwave radiom-etry, remote sensing, variational methods. I.
An assessment of microwave absorption models and retrievals of cloud liquid water using clearsky data,”
- J. Geophys. Res.,
, 2003
"... [1] Passive microwave radiometers have a long history in the remote sensing of atmospheric liquid and water vapor. Retrievals of these quantities are sensitive to variations in pressure and temperature of the liquid and water vapor. Rather than use a statistical or climatological approach to accoun ..."
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[1] Passive microwave radiometers have a long history in the remote sensing of atmospheric liquid and water vapor. Retrievals of these quantities are sensitive to variations in pressure and temperature of the liquid and water vapor. Rather than use a statistical or climatological approach to account for the natural variability in atmospheric pressure and temperature, additional information on the atmospheric profile at the time of the radiometer measurements can be directly incorporated into the retrieval process. Such an approach has been referred to in the literature as a ''physical-iterative'' solution. This paper presents an assessment of the accuracy of the column liquid water path that can be expected using such an iterative technique as a result of uncertainties in the microwave emissions from oxygen and water vapor. It is shown that the retrieval accuracy is influenced by the accuracy of the instrument measurements and the quality of the atmospheric profiles of temperature and pressure, as one would expect. However, also critical is the uncertainty in the absorption coefficients used in the underlying microwave radiative transfer model. The uncertainty in the absorption coefficients is particularly problematic in that it may well bias the liquid water retrieval. The differences between three absorption models examined in this paper are equivalent to a bias of 15 to 30 g/m 2 , depending on the total column water vapor. An examination of typical liquid water paths from the Southern Great Plains region of the United States shows that errors of this magnitude have significant implications for shortwave radiation and retrievals of cloud effective particle size. Citation: Marchand, R., T. Ackerman, E. R. Westwater, S. A. Clough, K. Cady-Pereira, and J. C. Liljegren, An assessment of microwave absorption models and retrievals of cloud liquid water using clear-sky data,