Retrieving liquid water path and precipitable water vapor from the atmospheric radiation measurement (ARM) microwave radiometers

被引:289
作者
Turner, David D.
Clough, Shepard A.
Lijegren, James C.
Clothiaux, Eugene E.
Cady-Pereira, Karen E.
Gaustad, Krista L.
机构
[1] Univ Wisconsin, Ctr Space Sci & Engn, Madison, WI 53706 USA
[2] Atmospher & Environm Res Inc, Lexington, MA 02421 USA
[3] Argonne Natl Lab, Decis & Informat Sci Div, Argonne, IL 60439 USA
[4] Penn State Univ, University Pk, PA 16802 USA
[5] Pacific NW Natl Lab, Computat Sci & Math Div, Richland, WA 99354 USA
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2007年 / 45卷 / 11期
关键词
meteorology; microwave radiometry; remote sensing;
D O I
10.1109/TGRS.2007.903703
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Ground-based two-channel microwave radiometers (MWRs) have been used for over 15 years by the Atmospheric Radiation Measurement (ARM) program to provide observations of downwelling emitted radiance from which precipitable water vapor (PWV) and liquid water path (LWP)-two geophysical parameters critical for many areas of atmospheric research-are retrieved. An algorithm that incorporates output from two advanced retrieval techniques, namely, a physical-iterative approach and a computationally. efficient statistical method, has been developed to retrieve these parameters. The forward model used in both methods is the monochromatic radiative transfer model MonoRTM. An important component of this MWR RETrieval (MWRRET) algorithm is the determination of small (< 1 K) offsets that are subtracted from the observed brightness temperatures before the retrievals are performed. Accounting for these offsets removes systematic biases from the observations and/or the model spectroscopy necessary for the retrieval, significantly reducing the systematic biases in the retrieved LWR The MWRRET algorithm significantly provides more accurate retrievals than the original ARM statistical retrieval, which uses monthly retrieval coefficients. By combining the two retrieval methods with the apptication of brightness temperature offsets to reduce the spurious LWP bias in clear skies, the MWRRET algorithm significantly provides better retrievals of PWV and LWP from the ARM two-channel MWRs compared to the original ARM product.
引用
收藏
页码:3680 / 3690
页数:11
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